{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"2f5351d0-9726-4e50-85f8-0f191d743846","company_id":"0a7c68cd-f294-457e-939a-62969b72e929","title":"Software Engineer, Distributed Systems - Trust \u0026 Safety","slug":"software-engineer-distributed-systems-trust-safety-9cb368dc","description":"WHY THIS ROLE MATTERS NOW\n\nAI has dramatically lowered the barrier for bad actors. Generating convincing phishing pages, spinning up realistic-looking fraudulent accounts, and producing abusive content at scale no longer requires specialized skill — a motivated attacker with access to widely available models can do it.\n\nAt the same time, AI is transforming what's possible on the defensive side. A small, sharp T\u0026S team equipped with frontier models can now build detection, triage, and response systems that would have required a team five times the size just a couple of years ago. AI-assisted content scanning, automated investigation workflows, and intelligent alert prioritization mean that a lean team can protect millions of users — if they build the right infrastructure.\n\n\n\n\nABOUT THE ROLE\n\nYou'll architect and scale the trust infrastructure that keeps 70M+ users safe while preserving the creative freedom that makes Gamma magical. This means designing distributed systems for real-time content scanning, anomaly detection, and rate limiting; helping define and evolve the core data model and storage systems behind abuse detection; and shipping the high-volume event pipelines and internal tools that let our support teams act quickly on threats.\n\nYou'll join a small, high-impact team building the foundation for trust at scale. You'll work across databases, public APIs, and event infrastructure, balancing long-term technical investments with rapid shipping velocity. You'll collaborate across engineering, product, and design to define how Gamma approaches safety for the long term.\n\nOur team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own detection and prevention systems for fraud, abuse, spam, and malicious content across millions of daily users\n\n - Design and build scalable trust infrastructure including rate limiting, content scanning, anomaly detection, and account security\n\n - Architect distributed systems, APIs, and high-volume event pipelines that power real-time abuse detection at Gamma's scale\n\n - Help define and evolve the core data model and storage systems that underpin trust and safety across the product\n\n - Build tools that empower internal support teams to investigate and act on suspicious or malicious activity\n\n - Leverage AI/LLM-based detection to stay ahead of AI-generated abuse — phishing, fraud, and malicious content that's increasingly indistinguishable from legitimate activity\n\n - Build automated triage and investigation workflows that let a small team operate at the scale of a much larger one\n\n - Investigate and resolve complex security incidents with limited context\n\n - Partner with engineering and product to balance security with user experience\n\n - Shape Gamma's long-term trust and safety strategy and technical roadmap\n\n\n\n\nWHAT YOU'LL BRING\n\n - 5+ years of backend engineering experience building scalable, high-traffic production systems\n\n - Strong systems thinking and experience building highly available web APIs\n\n - Strong proficiency in backend technologies (Node.js, Python, or similar) and databases (PostgreSQL, Redis)\n\n - Experience with event streaming systems (Redis, Kafka, or similar) and high-volume event pipelines\n\n - Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention\n\n - Track record shipping high-quality, complex applications under tight timelines\n\n - Product-minded approach with understanding of how technical decisions impact user experience and business metrics\n\n - Passion for security, user protection, and solving problems at scale\n\nNice to have\n\n - Experience with AI/LLMs for content moderation, or familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS\n\n - Experience building AI-assisted moderation pipelines or using frontier models for automated abuse detection and response\n\n - Familiarity with the evolving AI threat landscape — how generative models are being used for phishing, social engineering, and content abuse at scale\n\n - Experience with real-time collaboration systems\n\n\n\n\nCOMPENSATION RANGE:\n\nThe base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K–$310K plus benefits \u0026 equity.\n\n\n\nFinal offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.\n\n\n\nIf you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.","salary_min":180000,"salary_max":310000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","llm","api-design","rust"],"apply_url":"https://jobs.ashbyhq.com/gamma/1d76bf68-c948-4594-a6f5-b836eaf33c4b/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T22:52:49.328Z","expires_at":"2026-08-15T14:08:43.620247Z","created_at":"2026-07-16T14:08:43.739411Z","updated_at":"2026-07-16T14:08:43.739411Z","company_name":"Gamma","company_slug":"gamma","company_logo_url":"https://www.google.com/s2/favicons?domain=gamma.app\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2f5351d0-9726-4e50-85f8-0f191d743846"},{"id":"be679834-9c8e-4780-bdad-f2d02b24a22e","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Analyst, Violence \u0026 Extremism","slug":"safeguards-enforcement-analyst-violence-extremism-5a4dffe7","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n As a Safeguards Enforcement Analyst focused on Violence \u0026 Extremism, you will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, including weapons and dangerous technology, critical infrastructure attacks, violent extremism, and threats of violence.\n Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature.\n Key responsibilities \n \n Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy\n Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements\n Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations\n Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging extremist movements, ideologies, and mobilization tactics\n Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios\n Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content\n Keep up to date with emerging threats, terrorist and extremist movements, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals\n Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent extremist activity\n \n Minimum qualifications \n \n Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, violent extremism, or physical harm facilitation\n Experience standing up and scaling policy enforcement or content review workflows\n Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health\n Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams\n Experience working with generative AI products, including writing effective prompts for content review and enforcement\n Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space\n \n Preferred qualifications \n \n Subject matter expertise in one or more high-stakes harm areas, such as weapons and dangerous technology, violent extremism, terrorism, autonomous systems, or critical infrastructure protection\n Familiarity with relevant legal and regulatory frameworks governing dangerous technology, critical infrastructure, or domestic/international terrorism\n Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases\n Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT\u0026CK)\n Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments\n Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm\n Proficiency in Python for data analysis and workflow automation\n Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment\n Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization\n Familiarity with cross-platform threat analysis and OSINT techniques\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $285,000 — $330,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of ","salary_min":285000,"salary_max":330000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","llm","generative-ai","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5343907008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T00:47:43Z","expires_at":"2026-08-15T14:00:33.959971Z","created_at":"2026-07-15T14:00:32.344861Z","updated_at":"2026-07-16T14:00:34.090494Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/be679834-9c8e-4780-bdad-f2d02b24a22e"},{"id":"45810c38-51f8-47ab-83a8-b91cb2515162","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Analyst, Fraud \u0026 Scams","slug":"safeguards-enforcement-analyst-fraud-scams-028dd4c2","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be standing up fraud \u0026 scams enforcement as a program: today this work is handled reactively and in fragments — payment fraud, promotional abuse, and scam-pattern enforcement don't yet have a single owner. You'll be that owner: defining the policy area, building the detection-to-enforcement pipeline, and setting the operating model that a contractor bench can execute against. The surface area is broad: payment fraud (stolen cards, chargebacks, disputes), promotional and credits abuse, and the use of accounts to run scams against third parties.\n This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.\n Key responsibilities \n \n Define the fraud \u0026 scams policy taxonomy and how cases are classified, prioritized, and escalated\n Investigate and dismantle organized abuse rings, converting findings into durable controls\n Stand up proactive fraud detection and customer-facing communication flows for fraudulent organization cases\n Build the dispute and chargeback strategy in partnership with payments and card-network partners\n Quantify fraud losses and control efficacy to drive investment decisions\n Author the contractor playbook for fraud review and own QA of scaled output\n Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows\n \n Minimum qualifications\n \n Deep payment-fraud experience at a fintech, marketplace, or platform — chargebacks, disputes, card-testing, promotional abuse\n Experience building or significantly scaling a fraud program from an early state, not just operating a mature one\n A working command of payment-network and dispute mechanics, sufficient to make strategy calls on them\n Comfort being the sole owner of an area: prioritizing ruthlessly, shipping iteratively, and asking for help precisely\n Comfort using data (SQL or similar tools) to quantify fraud losses and control efficacy\n Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders\n Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams\n \n Preferred qualifications\n \n Experience working directly with payment service providers and card networks on fraud strategy\n Experience with scam typologies beyond payments — social engineering, impersonation, platform-mediated scams\n Experience managing vendor relationships in the fraud/risk detection space\n A deep interest in AI safety and responsible technology development\n Experience writing effective prompts for generative AI systems in a content review or enforcement context\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $245,000 — $285,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application ","salary_min":245000,"salary_max":285000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["alignment","payments","generative-ai","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5319554008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T03:10:05Z","expires_at":"2026-08-15T14:00:33.490419Z","created_at":"2026-07-15T14:00:31.991198Z","updated_at":"2026-07-16T14:00:33.634Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/45810c38-51f8-47ab-83a8-b91cb2515162"},{"id":"6fc9c11a-5817-4f35-acb7-d96f007c4325","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Analyst, Ban Evasion \u0026 Recidivism","slug":"safeguards-enforcement-analyst-ban-evasion-recidivism-2b8cbefe","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be recidivism: a ban that an actor can evade in five minutes isn't enforcement — it's friction. You'll own detecting when banned actors return, linking accounts across identities, and closing the re-registration paths that matter most. The mandate includes our highest-stakes populations, including preventing evasion of child-safety enforcement bans, where the cost of a missed return is unacceptable.\n This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.\n Key responsibilities \n \n Investigate evasion clusters end to end — from a single appeal or signal anomaly to the full linked actor network\n Convert individual findings into durable systemic controls and detection proposals\n Operationalize re-registration controls for high-severity ban populations\n Partner with Engineering and Data Science teams on account-linking signals to connect returning actors across identities\n Build the recidivism measurement framework: how often banned actors return, how fast we catch them, and which controls reduce return rates\n Author playbooks for contractor-supported evasion review with QA against your own gold standard\n Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows\n \n Minimum qualifications\n \n Experience investigating ban evasion, multi-accounting, or repeat fraud actors at a platform with adversarial users\n Fluency in SQL and comfort building your own analyses across large account and event datasets\n Experience working with fraud or identity-linking signals and a working understanding of their precision/recall tradeoffs\n Rigor about evidence standards — comfort with the asymmetric cost of false positives in severe-harm enforcement\n A track record of turning one-off investigations into repeatable detection logic and policy\n Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders\n Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams\n \n Preferred qualifications\n \n Experience using payment or network risk signals in an enforcement context\n Experience with child-safety or other high-severity integrity enforcement\n Experience collaborating directly with detection engineering or data science teams on rule deployment\n A deep interest in AI safety and responsible technology development\n Experience writing effective prompts for generative AI systems in a content review or enforcement context\n \n  \n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $245,000 — $285,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous","salary_min":245000,"salary_max":285000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","alignment","generative-ai","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5319592008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T03:07:48Z","expires_at":"2026-08-15T14:00:32.807813Z","created_at":"2026-07-15T14:00:31.46483Z","updated_at":"2026-07-16T14:00:32.989509Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6fc9c11a-5817-4f35-acb7-d96f007c4325"},{"id":"c7233a70-8734-418e-977e-e64fadd481c4","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Analyst, Cyber Harm ","slug":"safeguards-enforcement-analyst-cyber-harm-3292bc78","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement.\n Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.\n Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.\n Key responsibilities\n \n Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies\n Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations\n Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders\n Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios\n Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall\n Maintain high accuracy and consistency standards across review queues\n Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions\n \n Minimum Qualifications\n \n Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research\n Experience performing content review, abuse investigations, or policy enforcement at volume\n Proficiency in SQL and/or Python for data analysis and threat detection\n Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams\n Experience working with generative AI products, including writing effective prompts for content review and enforcement\n \n Preferred qualifications\n \n Experience in trust \u0026 safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company\n Experience with large language models and an understanding of how AI technology could be misused for cyber operations\n Experience operating within abuse monitoring programs or enforcement review systems\n Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space\n Experience working with government agencies, regulated environments, or information sharing communities\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $285,000 — $330,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application ","salary_min":285000,"salary_max":330000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","llm","security","generative-ai","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5311159008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T23:43:23Z","expires_at":"2026-08-15T14:00:33.395422Z","created_at":"2026-07-12T14:00:28.485977Z","updated_at":"2026-07-16T14:00:33.530449Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c7233a70-8734-418e-977e-e64fadd481c4"},{"id":"cd912b35-ee12-4a3e-90a8-0abe74a80b0d","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Analyst, Integrity \u0026 Authenticity ","slug":"safeguards-enforcement-analyst-integrity-authenticity-941cc4f1","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n As a Safeguards Analyst focusing on Integrity \u0026 Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals.\n Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.\n Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. \n Key responsibilities\n \n Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy\n Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems\n Review flagged content to drive enforcement and policy improvements\n Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups\n Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios\n Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows\n \n Minimum qualifications\n \n Experience in trust \u0026 safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms\n Experience standing up and scaling policy enforcement or content review workflows\n Proficiency in SQL and/or other data analysis tools to draw insights from large datasets\n Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams\n Experience working with generative AI products, including writing effective prompts for content review and enforcement\n Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space\n \n Preferred qualifications\n \n Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns\n Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis\n Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms\n Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale\n Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions\n Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR)\n Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues\n Proficiency in Python for data analysis and automation\n Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $285,000 — $330,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A ","salary_min":285000,"salary_max":330000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","llm","generative-ai","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5311149008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T23:40:28Z","expires_at":"2026-08-15T14:00:33.599212Z","created_at":"2026-07-12T14:00:28.575559Z","updated_at":"2026-07-16T14:00:33.723625Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/cd912b35-ee12-4a3e-90a8-0abe74a80b0d"},{"id":"624a206a-77bf-4580-8cdd-be32f7688f73","company_id":"a0000000-0000-0000-0000-000000000001","title":"Red Team Engineer, Safeguards","slug":"red-team-engineer-safeguards-ce8b1599","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities.\n While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.\n Key responsibilities \n \n Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques\n Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms\n Design and execute \"full kill chain\" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives\n Build and maintain systematic testing methodologies that evaluate every aspect of our systems\n Develop automated testing frameworks to enable continuous assessment at scale\n Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements\n Help establish metrics for measuring detection effectiveness of novel abuse\n \n Minimum qualifications \n \n Experience in penetration testing, red teaming, or application security\n Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors\n Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)\n Experience building custom automation, including LLM-specific testing frameworks\n A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways\n A public body of work such as CVEs, blog posts, or disclosed bug bounty reports\n Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences\n \n Preferred qualifications \n \n Experience with AI/ML security or adversarial machine learning\n Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks\n Experience testing API security and rate-limiting systems\n Background in testing business logic vulnerabilities and authorization bypass techniques\n Background in anti-fraud, trust \u0026 safety, or abuse prevention systems\n Familiarity with distributed systems and infrastructure security\n Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses\n Adaptability to understand and build engagements around emerging threats outside your direct area of expertise\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, s","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","agents","payments","llm","security","distributed-systems","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5320469008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T22:50:56Z","expires_at":"2026-08-15T14:00:27.524872Z","created_at":"2026-07-12T14:00:24.449098Z","updated_at":"2026-07-16T14:00:27.643998Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/624a206a-77bf-4580-8cdd-be32f7688f73"},{"id":"27e47bb2-457a-411c-94da-c13b0a26bbe4","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Financial Fraud","slug":"staff-software-engineer-financial-fraud-e46a39b4","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.\n Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.\n Responsibilities: \n \n Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints\n Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting\n Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases\n Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number\n Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules\n Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners\n \n Minimum Qualifications:  \n \n Proficiency in Python, SQL, and data analysis tools\n Experience building or operating fraud, risk, or abuse detection systems in production\n Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders\n \n Preferred Qualifications:  \n \n 8+ years of industry software engineering experience, with a focus on payments fraud or risk\n Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle\n Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud\n Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes\n Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows\n Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely ","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","payments","fintech","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5325909008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T20:42:40Z","expires_at":"2026-08-15T14:00:40.393498Z","created_at":"2026-07-12T14:00:33.033504Z","updated_at":"2026-07-16T14:00:40.519529Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/27e47bb2-457a-411c-94da-c13b0a26bbe4"},{"id":"8962baa3-07f0-4de5-bdc8-24e9482b4c58","company_id":"a0000000-0000-0000-0000-000000000001","title":"Threat Intel Manager, Model Exploitation \u0026 Fraud","slug":"threat-intel-manager-model-exploitation-fraud-a7445668","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n We are looking for a threat intel manager to build and run our Model Exploitation \u0026 Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation,  unauthorized access, account farming and reseller abuse, and fraud and scam operations.\n You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework,  tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems.\n Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. \n Key responsibilities \n \n Own strategy, priorities, and outcomes for the Model Exploitation \u0026 Fraud mission area; define what we detect, investigate, action, and share\n Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting\n Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work\n Capable of independently leading complex investigations. \n Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R\u0026D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path\n Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise\n Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up\n Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels\n Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly\n Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements\n Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape\n \n Minimum qualifications \n \n Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors\n Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators\n Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it\n Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities\n Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale\n Have built processes, detection systems, or programs from scratch and can show what changed because of them\n Communicate crisply with executives, engineers, and external partners alike\n \n Preferred qualifications \n \n Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale\n Background in financial crime investigation or fraud analytics\n Experience working directly with U.S. government stakeholders on threat reporting\n A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks\n Fluency in Man","salary_min":375000,"salary_max":455000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["llm","alignment","agents","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5305476008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T19:02:57Z","expires_at":"2026-08-15T14:00:44.241185Z","created_at":"2026-07-09T14:00:43.257037Z","updated_at":"2026-07-16T14:00:44.358161Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8962baa3-07f0-4de5-bdc8-24e9482b4c58"},{"id":"50df2b7e-cf30-4c96-ac78-97a1fe5311c1","company_id":"a0000000-0000-0000-0000-000000000001","title":"Threat Intel Manager, Influence Operations \u0026 Surveillance","slug":"threat-intel-manager-influence-operations-surveillance-38cdcd24","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n We are looking for a threat intel manager to build and run our Influence Operations \u0026 Surveillance team within Threat Intelligence. This team detects, investigates, and disrupts the misuse of Anthropic's AI systems for influence operations, coordinated inauthentic behavior, and surveillance operations by authoritarian states and the commercial spyware ecosystem. \n This is a ground-floor leadership role. The mission area today produces some of our most consequential casework and external reporting almost entirely through manual investigation; you will stand up its purpose-built detection capabilities, set the strategy for how a frontier AI company finds and counters state-linked information manipulation and surveillance misuse, and you'll personally be involved with the most complex investigations.\n Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. \n Key responsibilities \n \n Own strategy, priorities, and outcomes for the Influence Operations \u0026 Surveillance threat intel mission area\n Hire, manage, and develop a small team of technical threat investigators with IO and surveillance expertise\n Personally lead investigations into state-linked surveillance misuse  including commercial spyware vendors and surveillance products whose end customers are authoritarian governments and AI-enabled influence campaigns\n Stand up the mission area's first automated detection: abuse signals, behavioral clustering, and coordinated-network detection tailored to information manipulation and surveillance tooling\n Conduct cross-platform analysis linking on-platform activity to broader campaigns across social media, messaging platforms, and the spyware supply chain\n Attribute campaigns to specific actors, with particular focus on state-sponsored operations from geopolitically significant regions\n Own external engagement: government partners, platform integrity teams, academic and civil-society researchers, and threat intelligence sharing communities\n Drive public and partner-facing reporting on AI-enabled IO and surveillance, and inform safety-by-design strategies as multimodal and agentic capabilities reshape the landscape\n \n Minimum qualifications \n \n Have deep subject matter expertise in influence operations, coordinated inauthentic behavior, or state surveillance / commercial spyware ecosystems\n Have led investigative teams or threat intel teams. \n Have demonstrated proficiency in SQL and Python for data analysis and threat detection\n Have experience attributing campaigns to specific threat actors, including state-sponsored operations\n Have strong OSINT tradecraft for investigating online information ecosystems\n Have hands-on experience with large language models and how they can be weaponized for IO and surveillance\n Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership\n \n Preferred qualifications \n \n Experience at a major technology platform on influence operations, platform integrity, or content authenticity\n Background in intelligence analysis, information operations, or counter-disinformation in government or military contexts\n Experience investigating commercial spyware or surveillance-as-a-service vendors (e.g., civil-society or vendor-research backgrounds)\n Experience investigating operations linked to Chinese, Russian, Iranian, or other state-sponsored campaigns\n Fluency in Mandarin Chinese, Russian, Farsi, and/or Arabic with nuanced regional and geopolitical context\n Familiarity with social network analysis for mapping coordinated behavior\n Active Top Secret security clearance\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $375,000 — $455,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some r","salary_min":375000,"salary_max":455000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["llm","alignment","agents","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5302779008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T03:22:40Z","expires_at":"2026-08-15T14:00:44.1414Z","created_at":"2026-07-09T14:00:43.170356Z","updated_at":"2026-07-16T14:00:44.280299Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/50df2b7e-cf30-4c96-ac78-97a1fe5311c1"},{"id":"26179c28-3e96-4d58-9315-2cf92fdaf7c0","company_id":"a0000000-0000-0000-0000-000000000001","title":"Engineering Manager, Safeguards Review Tooling","slug":"engineering-manager-safeguards-review-tooling-567d6b0a","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms.\n This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most.\n You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy.\n Key responsibilities\n \n Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces\n Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces\n Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows\n Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems\n Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust\n Create clarity for the team and stakeholders in an ambiguous and evolving environment\n Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team\n Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community\n \n Minimum qualifications\n \n Experience managing software engineering teams, including hiring, coaching, and developing engineers\n A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions\n Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably\n Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams\n Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders\n Care about the societal impacts of AI and want your work to make powerful systems safer\n \n Preferred qualifications\n \n 4+ years of management experience, 10+ years of industry software engineering experience\n Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale\n Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments\n Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation\n Experience building developer platforms or extensible tooling frameworks that other teams build on top of\n Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $405,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","agents","llm","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5013366008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-10T21:27:09Z","expires_at":"2026-08-15T14:00:21.503235Z","created_at":"2026-06-28T14:00:20.653708Z","updated_at":"2026-07-16T14:00:21.647836Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/26179c28-3e96-4d58-9315-2cf92fdaf7c0"},{"id":"2087e015-ee4e-49c3-b24d-576611c371ec","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Safeguards Evals ","slug":"software-engineer-safeguards-evals-c7ee0bf5","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n How do we know our safety systems actually catch misuse? Anthropic increasingly uses AI to investigate potential misuse of Claude — analyzing real-world traffic to surface bad actors, policy violations, and emerging threats. Its findings inform enforcement actions and model launch decisions, which means we need rigorous, trustworthy answers to questions like: Does the monitoring agent catch what it should? Where does it fail? Does it stay reliable as adversaries adapt, as models improve, and as the agent itself changes?\n This role builds the evaluation infrastructure that answers those questions. You'll sit at the intersection of applied ML research and engineering — designing experiments to measure how well an investigative agent performs across harm areas, building datasets that represent real abuse rather than synthetic benchmarks, and shipping those methods into pipelines that gate every change to the system. Your work directly determines how much trust Anthropic can place in its automated abuse detection, and where we invest to make it better.\n Key responsibilities\n \n \n Build and own the evaluation harness for an agentic investigation system — defining metrics, test cases and grading approaches for a complex long horizon agent\n \n Construct high-quality eval datasets representing real-world misuse across harm areas (e.g., cyber attacks, bio weapons, influence operations), drawing from real traffic patterns and synthetic generation\n \n Measure agent performance end-to-end (detection precision/recall, investigation quality, robustness) and drive hill-climbing on the hardest harm areas\n \n Analyze coverage to identify measurement gaps, and evolve evals so they remain unsaturated and high-signal as agent capabilities advance\n \n Productionize successful research into regression and release pipelines that run on every agent change, prompt update, and underlying model upgrade\n \n Build tooling that enables policy experts to author, run, and iterate on evaluations without engineering support\n \n Construct RL environments to improve Claude’s safety investigation capabilities.\n \n Minimum qualifications\n \n \n Proficiency in Python and comfort working across the stack\n \n Experience building and maintaining data pipelines\n \n Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning\n \n Strong data analysis skills — you can draw reliable insights from large datasets\n \n Ability to move fluidly between research prototyping and production-quality code\n \n Ability to translate ambiguous problems into concrete, testable experiments\n \n Preferred qualifications\n \n \n 8+ years of industry software engineering experience\n \n Expertise in building or contributing to agent evaluation frameworks, benchmarks, or automated grading systems\n \n Extensive experience in trust and safety, content moderation, or abuse detection systems\n \n Experience in red teaming, adversarial testing, or jailbreak research on AI systems\n \n Experience with synthetic data generation or data augmentation\n \n Experience with distributed systems or large-scale data processing\n \n Experience with prompt engineering or building LLM-powered applications\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underreprese","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","data-pipeline","llm","agents","distributed-systems","evaluation","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5251671008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-09T15:02:53Z","expires_at":"2026-08-15T14:00:41.990749Z","created_at":"2026-06-28T14:00:32.865428Z","updated_at":"2026-07-16T14:00:42.162244Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2087e015-ee4e-49c3-b24d-576611c371ec"},{"id":"e2525fc0-b3c7-44c3-a713-94c8597c63ae","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Trust Engineer","slug":"trust-engineer-520ecbc4","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nSome of the world's largest companies and their law firms use Harvey's AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Our customers depend on us to deliver a secure, trustworthy, and compliant platform and earning that trust is a business enabler we value above all else. In this role, you'll report to the Head of Trust and serve as the engineering backbone of Harvey's compliance and assurance programs. You'll build and own the data infrastructure, automation tooling, and AI-powered workflows that allow our Trust team to scale audit readiness, continuous monitoring, and risk reporting without scaling headcount. This means selecting best-in-class compliance automation platforms, building our own compliance data layer, and developing AI-powered workflows to automate evidence collection, control testing, and assurance reporting.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the implementation and optimization of Harvey's compliance automation tooling to automate workflows across compliance programs\n\n - Design and build a compliance data layer in Snowflake — ingesting signals from infrastructure, security tools, and SaaS platforms to create a real-time view of control health and audit readiness\n\n - Develop AI agents and automated pipelines for evidence collection, control testing, and continuous monitoring at scale\n\n - Partner with Engineering and Security to map technical implementations to compliance controls and maintain a living, accurate control inventory\n\n - Build reporting layers that translate compliance signals into clear narratives on risk posture and certification status for executive and cross-functional audiences\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 6+ years in software, data, or security engineering with exposure to compliance automation or trust and assurance programs\n\n - Hands-on experience building data pipelines on Snowflake, BigQuery, or comparable platforms; strong SQL and Python\n\n - Experience implementing or administering compliance automation platforms\n\n - Working knowledge of at least one compliance framework — enough to understand control requirements and map them to technical implementations\n\n - Experience building AI-powered workflows or agents using LLMs\n\n\nNICE TO HAVE\n\n - Experience at a high-growth SaaS company building or scaling a Trust or compliance engineering function from the ground up\n\n - Familiarity with cloud infrastructure (AWS, GCP, Azure) and how infrastructure-as-code tools connect to compliance evidence\n\n - Prior involvement in government compliance programs\n\n\n\n\n\n\n\nCOMPENSATION\n\n\n\n$220,000 - $330,000 USD\n\n\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-KV1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":220000,"salary_max":330000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["cloud","llm","agents","security","data-pipeline","rust"],"apply_url":"https://jobs.ashbyhq.com/harvey/2afeecc1-d272-4562-a8df-50f720f5991d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-02T15:29:07.708Z","expires_at":"2026-08-15T14:02:44.528906Z","created_at":"2026-06-28T14:02:19.705663Z","updated_at":"2026-07-16T14:02:44.645777Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e2525fc0-b3c7-44c3-a713-94c8597c63ae"},{"id":"3037d70d-ed62-4d43-9130-d9fb9eeb593d","company_id":"23622820-877e-4a5a-845a-5b62c6723698","title":"Software Engineer, Trust \u0026 Safety","slug":"software-engineer-trust-safety-54dc537b","description":"ABOUT SUNO\n\nWe're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.\n\nBuilding the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.\n\nSuno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).\n\n\n\n\nABOUT THE ROLE\n\nSuno is hiring a Software Engineer, Trust and Safety, to be on the front lines of protecting our platform and users from abuse, fraud, and harmful behaviors / content. Your work will directly impact user safety and platform integrity, making it a more trustworthy place for our community.\n\nCheck out our Suno version of the job here: https://suno.com/s/FsUvdRnu5MoxhjY2\n\n\n\nWHAT YOU'LL DO\n\n - Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake, and Dagster\n\n - Design and implement anomaly detection systems to identify suspicious patterns in user behavior and platform activity\n\n - Develop internal tools and dashboards for Trust \u0026 Safety operations and investigations\n\n - Help improve detection algorithms and reduce false positives\n\n - Build automated systems for content moderation, user verification, and abuse prevention\n\n - Analyze large datasets in Snowflake to uncover new attack vectors and improve existing detection methods\n\n - Work closely with product and engineering teams to implement Trust \u0026 Safety features at scale\n\n - Help finance teams reduce fraudulent transactions and chargebacks by identifying and preventing payment abuse\n\n\n\nWHAT YOU'LL NEED\n\n - 3+ years of experience in Trust \u0026 Safety, fraud detection, or content moderation\n\n - Strong Python and SQL skills (5+ years preferred)\n\n - Experience with data engineering tools and pipelines (Dagster, Airflow, or similar)\n\n - Proficiency with SQL and data analysis (Snowflake experience preferred)\n\n - Experience building internal tools and dashboards for operational teams\n\n - Understanding of statistical analysis and anomaly detection techniques\n\n - Experience with real-time systems and event-driven architectures\n\n - Strong problem-solving skills and attention to detail\n\n - Knowledge of anti-abuse techniques, bot detection, and content moderation systems\n\n - Bachelor's degree or equivalent required.\n\n\n\nNICE TO HAVE\n\n - Experience with machine learning pipelines and model deployment\n\n - Background in cybersecurity or anti-fraud systems\n\n - Knowledge of behavioral analytics and user journey analysis\n\n - Experience with A/B testing and experimentation in Trust \u0026 Safety\n\n\n\n\nADDITIONAL NOTES\n\nApplicants must be eligible to work in the US.\n\n\n\n\n\n\n\nCOMPENSATION\n\nThe annual salary range for this role is $170K – $240K + target equity + benefits (including medical, dental, vision, and 401k)\n\n\n\nPERKS \u0026 BENEFITS FOR FULL-TIME EMPLOYEES\n\n - Company Equity Package\n\n - 401(k) with 3% Employer Match \u0026 Roth 401(k)\n\n - Medical, Dental, \u0026 Vision Insurance (PPO w/ HSA \u0026 FSA options)\n\n - 11 Paid Holidays + Unlimited PTO \u0026 Sick Time\n\n - 16 Weeks of Paid Parental Leave\n\n - Creative Education Stipend\n\n - Generous Commuter Allowance\n\n - In-Office Lunch (5 days per week)\n\n\n\nSuno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.","salary_min":170000,"salary_max":240000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["security","payments","mlops","data-pipeline","rust"],"apply_url":"https://jobs.ashbyhq.com/suno/dba162e0-97f1-4efe-b4ff-c7d671a01b11/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-02T15:19:55.864Z","expires_at":"2026-08-15T14:04:57.377635Z","created_at":"2026-04-13T09:40:08.334584Z","updated_at":"2026-07-16T14:04:57.505289Z","company_name":"Suno","company_slug":"suno","company_logo_url":"https://www.google.com/s2/favicons?domain=suno.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3037d70d-ed62-4d43-9130-d9fb9eeb593d"},{"id":"ed3d2cf9-e188-43f9-a65d-feeadcbe72a0","company_id":"b6e5a3d1-9bde-4a82-8d78-9f38ed99ee81","title":"Senior Platform Product Manager - AI SDLC Trusted Throughput","slug":"senior-platform-product-manager-ai-sdlc-trusted-throughput-1f1f0508","description":"As a Senior Platform Product Manager focused on AI SDLC Trusted Throughput, you will define and drive the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. As AI accelerates development velocity and system complexity, you will help evolve SDLC systems from human-supervised workflows to platforms with built-in safety, observability, and correctness guarantees. You will partner closely with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance while enabling both engineers and AI agents to move quickly with confidence. This role offers the opportunity to shape foundational developer infrastructure and influence how AI-powered software delivery operates across Datadog.\n  \n At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.\n  \n What You’ll Do: \n \n Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform\n Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety\n Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows\n Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle\n Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation\n Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compliance, legal, privacy, and governance stakeholders\n \n  \n Who You Are: \n \n You have 5+ years of experience in B2B SaaS Product Management or a related technical leadership role focused on developer platforms, infrastructure, or SDLC tooling\n You have experience defining, instrumenting, and operationalizing engineering performance and reliability metrics, including DORA metrics and deployment health indicators\n You are comfortable navigating ambiguity and influencing highly technical stakeholders, including senior engineers and technical leadership\n You have a strong perspective on how AI is transforming software engineering workflows and understand the operational, reliability, and governance risks introduced by autonomous systems\n You are an effective communicator who can present complex technical concepts to engineering teams, cross-functional stakeholders, and executive audiences\n You have a Bachelor’s degree in Engineering, Computer Science, Information Technology, or equivalent practical experience\n \n Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. \n  \n Benefits \u0026 Growth: \n \n New hire stock equity (RSUs) and employee stock purchase plan (ESPP)\n Continuous professional development, product training, and career pathing\n Intra-departmental mentor and buddy program for in-house networking\n An inclusive company culture, ability to join our Community Guilds\n Access to Inclusion Talks, our Internal panel discussions\n Free, global Spring Health benefits for employees and dependents age 6+\n Competitive global benefits\n \n  \n Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. \n Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.\n The reasonably estimated yearly salary for this role at Datadog is:\n $192,000 — $240,000 USD \n \n About Datadog:  \n Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #Datadog","salary_min":192000,"salary_max":240000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","security","healthcare","rust"],"apply_url":"https://careers.datadoghq.com/detail/7947683/?gh_jid=7947683","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T19:36:21Z","expires_at":"2026-08-15T14:04:12.947317Z","created_at":"2026-05-27T14:03:34.932799Z","updated_at":"2026-07-16T14:04:13.068302Z","company_name":"Datadog","company_slug":"datadog","company_logo_url":"https://www.google.com/s2/favicons?domain=datadoghq.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ed3d2cf9-e188-43f9-a65d-feeadcbe72a0"},{"id":"1371b780-b744-4e8b-a313-1e2fc01543d8","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Sr. Data Scientist, Trust and Safety","slug":"sr-data-scientist-trust-and-safety-509a3e81","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale experiences in a complicated ecosystem, ensuring they are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform.\n In this role, you will design and build sampling frameworks, complex data aggregations, and measurement methodologies to track Trust \u0026 Safety policy violations across complex, multi-component user interactions. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust \u0026 Safety Ops, subject matter expert teams, and Product Managers. The results of your work will directly influence platform safety metrics, policy compliance, and executive-level visibility into platform health.\n What you'll do:\n \n Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units.\n Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate prevalence rates for specific Trust \u0026 Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to further expand and improve the prevalence measurement.\n Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling.\n Partner cross-functionally to orchestrate \"Offline\" dashboards and robust \"Online\" production workflows for continuous safety monitoring.\n Collaborate closely with Trust \u0026 Safety teams to translate written safety policies into unified LLM prompts, coordinate BPO labeling queues, and calibrate labeler decision quality\n \n What we're looking for:\n \n 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.\n Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.\n Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust \u0026 Safety.\n Deep familiarity with the measurement challenges of a complex ecosystem, including statistical interpretation of data.\n Experience designing and calibrating measurement frameworks, managing complex logging tables (e.g., user/interaction/component data), and defining directional success metrics.\n Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with complex ML pipelines and up-sampling.\n Ability to drive ambiguous measurement projects end-to-end, overcoming unstructured policy dependencies with high ownership.\n Excellent written and verbal communication skills, with the ability to advocate for decision quality before releasing metrics to executive leadership.\n \n  \n In - Office Requirement Statement \n \n We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.\n This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.\n \n Relocation Statement \n \n This position is not eligible for relocation assistance.\n \n  \n #LI-NM4 \n At Pinterest we believe the workplace should be equitable, inclusive, and inspir","salary_min":139764,"salary_max":287749,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","llm","rust","data-science"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=7793344","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T20:47:58Z","expires_at":"2026-08-15T14:09:22.566502Z","created_at":"2026-05-14T14:09:34.44346Z","updated_at":"2026-07-16T14:09:22.744567Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1371b780-b744-4e8b-a313-1e2fc01543d8"},{"id":"7cd5cf51-55e4-4bb7-b440-f28f4e43d627","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Rust Software Engineer, Air Vehicle Autonomy","slug":"rust-software-engineer-air-vehicle-autonomy-44fe61e7","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n The Air Dominance \u0026 Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.\n REQUIRED QUALIFICATIONS \n \n Eligible to obtain and maintain an active U.S. Top Secret security clearance\n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n 3+ years of production-grade Rust experience in a Linux development environment\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments.\n Feature and algorithm development with an understanding of behavior trees.\n Developing software/hardware for flight systems and safety critical functionality.\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . \n \n \n Exercise Caution with Unsolicited Outreach:  If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, ","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["computer-vision","cloud","payments","robotics","agents","gpu","rust"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5125172007?gh_jid=5125172007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-30T15:16:55Z","expires_at":"2026-08-15T14:07:43.611741Z","created_at":"2026-05-06T14:07:54.177093Z","updated_at":"2026-07-16T14:07:43.744428Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7cd5cf51-55e4-4bb7-b440-f28f4e43d627"},{"id":"f3aa6b77-4470-460e-8ed5-5cb0f8b64720","company_id":"0d5cf132-03f2-47aa-8161-dcb1b95aca68","title":"Rust SW-Silicon Co-verification Engineer","slug":"rust-sw-silicon-co-verification-engineer-9884bfd4","description":"What MatX Is Building \n MatX is seeking engineers with strong Rust skills to join our team as we create best-in-class silicon for high-performance and sustainable GenAI. You will write Rust tests that verify our software models and hardware design behave identically and match the specification.\n Your tests and tooling will exercise the chip's software model and hardware design side by side, catching mismatches before they become silicon bugs. If you've ever wished your knack for writing correct, thorough Rust could be applied to something where correctness has million-dollar consequences, this is the role for you. You do not need prior hardware or verification experience to apply — if you know Rust, we will teach you the hardware side.\n What You'll Do Here \n \n Write Rust tests that verify our software models and hardware design agree with each other and with the specification\n Build test infrastructure in Rust that makes it easy to add new tests and run them at scale\n Develop and maintain harnesses that connect your tests to our hardware\n Write tests that systematically explore corner cases and rare event sequences — both targeted tests and tests that use randomization to find surprises\n Work with architects and design engineers to turn specifications into concrete, testable properties\n \n Who You Are \n \n Proficient in production Rust — you've shipped real systems. You're comfortable with ownership, traits, generics with bounds, and enums as sum types. You understand why Result is better than exceptions and what the borrow checker is actually protecting you from\n Strong engineering fundamentals — you write clean, well-tested, well-documented code and are comfortable with build systems, version control, and CI workflows\n Comfortable with low-level systems concepts: memory layout, concurrency, bit manipulation\n Genuinely interested in hardware and willing to ramp quickly on chip verification\n This is a hybrid role that will require you to work from our Mountain View, CA office 3 days a week on Tuesday through Thursday\n \n Bonus Points If You Have \n \n Experience with hardware in any capacity — FPGA projects, embedded systems, robotics, or prior roles touching hardware engineering\n Experience with foreign function interfaces — Rust FFI is ideal, but any experience crossing language boundaries is valuable\n Experience with Bluespec (BH or BSV)\n Formal methods, model checking, or property-based testing (e.g., proptest, Kani)\n Understanding of computer architecture: pipelines, caches, memory hierarchies, on-chip interconnects\n \n Compensation \n The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.\n \n Early Career - $120,000 - $250,000 + equity\n Mid Career - $175,000 - $362,500 + equity\n Senior Career - $250,000 - $475,000 + equity\n \n What We Offer \n \n A Stake in our success  A flexible cash equity compensation mix that fits your needs\n Health \u0026 Wellness  Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (even if you don’t)\n Time To Recharge  4 weeks paid time off (accrued), 12 company holidays, and 3 weeks remote/flexible work per year\n Support to Parents  Up to 12 weeks of paid parental leave, regardless of your path to parenthood\n Learning \u0026 Development  $1,500 yearly towards your professional development e.g. conferences, courses, and other learning opportunities\n Team Connection  Team Lunches, quarterly off-sites, and regular town halls\n Financial Wellbeing  401K and/or Roth IRA, with 5% company contribution, even if you don’t!\n Flexible Spending Accounts  Pre-tax spend accounts for medical, dental/vision, dependent care, parking, and transit expenses\n Commute On Us  For those commuting up to 1 hour, put your rideshare cost on our company card and reclaim the drive-time to get work done!\n MatX E[x]tras  $50 per month to use on the perks you care about most \n Remote Perks  We work remotely Monday \u0026 Friday, supported by home-tech setup, and remote wifi expense reimbursement\n \n As part of our dedication to the diversity of our team and our focus on creating an inviting and inclusive work experience, MatX is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. \n All candidates must be authorized to work in the United States and work from our offices in Mountain View Tuesdays-Thursdays. \n ","salary_min":250000,"salary_max":475000,"location":"Mountain View, CA","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"principal","tags":["generative-ai","robotics","cloud","rust"],"apply_url":"https://job-boards.greenhouse.io/matx/jobs/5187495008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-13T22:55:47Z","expires_at":"2026-08-15T14:14:48.304517Z","created_at":"2026-04-16T15:55:37.241011Z","updated_at":"2026-07-16T14:14:48.435206Z","company_name":"MatX","company_slug":"matx","company_logo_url":"https://www.google.com/s2/favicons?domain=matx.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f3aa6b77-4470-460e-8ed5-5cb0f8b64720"},{"id":"ecf394f2-d227-4099-92b6-3e9cf2b9a7b2","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Staff Product Manager, AI Safety","slug":"staff-product-manager-ai-safety-7294aeac","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n As a Staff Product Manager for the GenAI Safety team within Trust \u0026 Safety, you'll define and drive the product strategy for ensuring Pinterest's GenAI-powered systems are safe, fair, and trustworthy. You'll be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly.\n This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You'll work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements. \n What you'll do: \n \n GenAI Safety Strategy: Own and drive the product roadmap for GenAI safety across Pinterest's AI-powered surfaces, including assisted search, content recommendations, automated moderation, and generative content creation tools\n Threat Modeling \u0026 Red-Teaming: Lead proactive identification of risks, failure modes, and adversarial attack vectors across AI systems - designing structured red-teaming exercises and evaluation frameworks before and after product launches\n Policy-to-Product Translation: Partner closely with Trust \u0026 Safety policy, legal, and ethics teams to translate nuanced content guidelines (e.g., self-harm, misinformation, body image) into precise, buildable product requirements and model guardrails\n Cross-Functional Collaboration: Work with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations\n Evaluation \u0026 Measurement: Define and track quantitative safety metrics - including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction - to ensure AI systems meet safety standards at scale\n Incident Response: Develop and maintain AI safety incident runbooks and escalation frameworks, and lead rapid triage and remediation when AI systems produce harmful or unexpected outputs\n Emerging Risk Anticipation: Stay ahead of the rapidly evolving AI landscape to identify safety implications of new capabilities (e.g., multi-modal generation, synthetic media, agentic AI) and proactively build extensible safety infrastructure to address unknown future applications\n Global \u0026 Cultural Sensitivity: Ensure AI safety approaches account for the needs, norms, and contexts of Pinterest's diverse global user base - avoiding one-size-fits-all solutions and centering equity in safety design\n User \u0026 Employee Wellbeing: Champion the safety and psychological wellbeing of both users who encounter harmful content and internal teams (content reviewers, T\u0026S specialists) who work on the front lines of content safety \n \n What we're looking for: \n \n 7+ years of product management experience, with meaningful depth in GenAI/ML, trust \u0026 safety, content moderation, or responsible AI\n Strong fluency in AI/ML concepts - including generative models, recommendation systems, multi-modal AI, and reinforcement learning from human feedback (RLHF)\n Experience with AI ethics frameworks, responsible AI principles, or relevant regulatory landscapes (e.g., NIST AI RMF, EU AI Act)\n Demonstrated ability to lead cross-functional teams through ambiguous, high-stakes problem spaces with a bias for action\n Proficiency in engaging with research, mapping threat models, validating risks, and translating insights into clear product strategies and roadmaps\n Excellent communication skills - the ability to articulate complex technical and ethical trade-offs to non-technical audiences and senior leadership, facilitating clear decision-making\n Deep e","salary_min":164695,"salary_max":339078,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["generative-ai","agents","reinforcement-learning","alignment","rust"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=7718015","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T21:44:29Z","expires_at":"2026-08-15T14:09:24.686954Z","created_at":"2026-04-13T11:48:13.489135Z","updated_at":"2026-07-16T14:09:24.809849Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ecf394f2-d227-4099-92b6-3e9cf2b9a7b2"},{"id":"c99e4776-2f5e-42d3-9f30-547c19327e99","company_id":"a0000000-0000-0000-0000-000000000001","title":"Threat Intelligence Engineer","slug":"threat-collections-engineer-f99d5e08","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the Role \n We are looking for a Threat Intelligence Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact.\n This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function.\n Responsibilities: \n \n Build automated detection systems that use disparate signals to identify abusive behavior. \n Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes\n Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data\n Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations\n Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries\n Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure\n Establish feedback loops with investigators to tune detection systems and reduce false positives\n Scrape and normalize data from external sources to feed threat detection and enrichment workflows\n \n You may be a good fit if you: \n \n Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation\n Have experience with data pipeline orchestration tools (Airflow, DBT, or similar)\n Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques\n Have experience integrating external APIs and building data ingestion systems\n Can translate investigator needs and workflows into technical requirements\n Are comfortable building v0 systems and iterating based on user feedback\n Have strong communication skills for working closely with non-engineering stakeholders\n \n Strong candidates may also have: \n \n Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII)\n Background in cyber threat intelligence, security operations, or abuse detection\n Experience building MCP servers or similar tool integrations for AI systems\n Familiarity with web scraping and data extraction at scale\n Experience with behavioral analytics or anomaly detection systems\n Understanding of LLM capabilities and how to leverage them for automation\n A Top Secret Clearance \n \n Deadline to apply: None. Applications will be reviewed on a rolling basis.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and ","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","llm","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5074937008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-21T04:17:40Z","expires_at":"2026-08-15T14:00:43.967316Z","created_at":"2026-04-13T09:36:08.26175Z","updated_at":"2026-07-16T14:00:44.086223Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c99e4776-2f5e-42d3-9f30-547c19327e99"}],"market_demand_pack":{"amount_cents":2900,"api_checkout_url":"https://aidevboard.com/api/v1/checkout?product_id=aidevboard_ai_skills_demand_pack","checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","currency":"USD","description":"Full ranked public AI/ML demand CSV, source job URLs, and decision brief with market and offer angles.","fulfillment":"automatic_email_after_paid_checkout","human_checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","name":"AI Market Demand Pack","next_step":"Open checkout_url for Stripe Checkout, or call api_checkout_url to get the non-charging checkout handoff payload.","price_usd":29,"product_id":"aidevboard_ai_skills_demand_pack","quote_url":"https://aidevboard.com/api/v1/quote?product_id=aidevboard_ai_skills_demand_pack"},"page":1,"per_page":20,"total":55,"total_pages":3}