{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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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 Lead, you will be responsible for managing 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 work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy. \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 \n Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy \n \n Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations\n \n Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases\n \n Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios\n \n Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations.\n \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 \n Experience as a people manager\n \n Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research\n \n Experience performing content review, abuse investigations, or policy enforcement at volume\n \n Proficiency in SQL and/or Python for data analysis and threat detection\n \n Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams\n \n Experience working with generative AI products, including writing effective prompts for content review and enforcement\n \n Preferred qualifications\n \n \n Experience in trust \u0026 safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company\n \n Experience with large language models and an understanding of how AI technology could be misused for cyber operations\n \n Experience operating within abuse monitoring programs or enforcement review systems\n \n Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space\n \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 a","salary_min":285000,"salary_max":330000,"location":"Washington, DC","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["security","llm","alignment","generative-ai","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5403775008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-29T02:52:00Z","expires_at":"2026-09-29T13:30:33.098723Z","created_at":"2026-08-29T13:30:34.116902Z","updated_at":"2026-08-30T13:30:33.242494Z","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/4ab10eb7-b0f8-4543-87e5-430128653c2a"},{"id":"414b9479-6e08-4e01-93e0-da794311a342","company_id":"a0000000-0000-0000-0000-000000000001","title":"Product Manager, Multi-Cloud Trust \u0026 Safety","slug":"product-manager-multi-cloud-trust-safety-40c195ce","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 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 A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud.\n Responsibilities: \n Model Safety Across Clouds \n \n Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model\n Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations\n Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces\n Drive our transparency commitments to customers and partners on data access, review, and enforcement\n \n Fraud \u0026 Abuse \n \n Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing\n Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives \n \n Cross-functional Leadership \n \n Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities\n Be Anthropic's product counterpart to trust \u0026 safety, security, and compliance teams at AWS, Google, and Microsoft\n Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds\n Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive\n Work with marketing and partner teams on how we position our safeguards externally\n \n  \n Minimum requirements: \n \n Have 10+ years of experience.\n Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software.\n Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations.\n Are an excellent written communicator and able to drive clarity out of complexity.\n Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike.\n \n Preferred requirements \n \n Prior product experience in trust \u0026 safety, security, privacy, or compliance.\n Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party \n Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap.\n Direct experience on a trust \u0026 safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.\n Background in AI safety, content moderation, or abuse-detection systems.\n Designed incident-response or escalation processes that span more than one company.\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 $305,000 — $385,000 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 o","salary_min":305000,"salary_max":385000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","alignment","cloud","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5409934008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T22:04:00Z","expires_at":"2026-09-29T13:30:26.692993Z","created_at":"2026-08-29T13:30:27.591482Z","updated_at":"2026-08-30T13:30:26.833375Z","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/414b9479-6e08-4e01-93e0-da794311a342"},{"id":"8f5683c8-4601-44f3-ae28-99878029e10f","company_id":"a0000000-0000-0000-0000-000000000001","title":"Head of Policy Design, Societal Harms","slug":"head-of-policy-design-societal-harms-25b5c82a","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 organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas.\n The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace.\n You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces.\n This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves.\n *Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature.\n Key responsibilities \n \n \n Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity\n \n Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what\n \n Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character\n \n Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership\n \n Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks\n \n Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed\n \n Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement\n \n Minimum qualifications \n \n \n Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field\n \n Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation\n \n A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed\n \n Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available\n \n Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives\n \n Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information\n \n Preferred qualifications \n \n \n Subject-matter depth in one","salary_min":330000,"salary_max":395000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["generative-ai","agents","llm","alignment","fine-tuning","healthcare","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5407418008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T19:56:10Z","expires_at":"2026-09-29T13:30:21.361128Z","created_at":"2026-08-29T13:30:22.347939Z","updated_at":"2026-08-30T13:30:21.508142Z","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/8f5683c8-4601-44f3-ae28-99878029e10f"},{"id":"c50734fd-508c-406a-bf60-d6bee6e444b5","company_id":"a0000000-0000-0000-0000-000000000001","title":"Policy Design Manager, Conventional Weapons","slug":"policy-design-manager-conventional-weapons-7a320e38","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 organization builds the policies, evaluations, and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll own our conventional weapons work.\n Defining a crisp boundary between acceptable and harmful requests in this domain is difficult, because the underlying components are dual-use: the same capabilities that serve civilian engineering and research can also contribute to a weapons system. Building the threat models, evaluations, and detection systems that hold that boundary is the core of this role.\n Conventional weapons are increasingly defined by software, and the risks reach well beyond firearms: from a model operating a weapons system or writing guidance code, to the weaponization of dual-use platforms. The role spans every weapon class, up to autonomous systems that select and engage targets without human authorization.\n You will help define the line between prohibited weapons development and legitimate research and engineering work, and how to operationalize the distinction. This will include translating technical judgment into principles that engineers can implement and enforcement teams can act on.\n Key responsibilities\n \n \n Own and maintain Anthropic's conventional weapons policy, defining the boundary between the activities our models should and should not support\n \n Build the threat models and evaluations that measure how our models could contribute to weapons development, including the software and autonomy components that define modern weapons systems, and keep them current as the technology and its misuse evolve\n \n Partner with engineering to turn the policy into model guardrails, detection systems, and enforcement tooling\n \n Serve as the subject-matter expert for escalations involving conventional weapons content, including rapid response to emerging risks\n \n Build shared understanding of the policy across product, engineering, legal, and leadership, communicating its reasoning to technical and non-technical audiences\n \n Engage external experts as well as government and industry partners, and translate that engagement into stronger policy and enforcement\n \n Minimum qualifications\n \n \n Have deep, applied expertise in weapons systems and can translate complex technical evidence into sound policy judgments\n \n Experience in a relevant setting, such as a service research laboratory, a defense research or innovation agency, or a company that designs or builds weapons systems\n \n Can write clear, operationally precise policy and explain complex technical topics to non-specialist audiences\n \n Understand the legal frameworks governing weapons and their transfer, and can craft policy that holds up across jurisdictions\n \n Can do rigorous technical analysis of weapons systems using only open sources\n \n Are comfortable with ambiguity and drawn to problems that have no established playbook\n \n Are motivated by preventing misuse without obstructing the legitimate work in the field\n \n Preferred qualifications\n \n \n A working understanding of machine learning and large language model fundamentals\n \n Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software\n \n Hands-on experience applying arms export controls (ITAR/EAR) or international arms-control regimes\n \n Experience building or evaluating classifiers, including LLM-based ones, and reasoning about precision and recall for rare, high-consequence categories\n \n Trust \u0026 safety or product policy experience at a technology platform\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 ","salary_min":245000,"salary_max":285000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","llm","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5392184008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-22T03:46:05Z","expires_at":"2026-09-29T13:30:25.461375Z","created_at":"2026-08-25T18:26:14.591016Z","updated_at":"2026-08-30T13:30:25.605272Z","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/c50734fd-508c-406a-bf60-d6bee6e444b5"},{"id":"0de3bf04-c0e7-4cad-808a-3b266b247482","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"MSE, Vehicle Software, RUST","slug":"mse-vehicle-software-rust-6adc91e9","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 Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Vehicle Software team is responsible for the software running on these systems. Our senior software engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry. We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD\u0026S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.\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 and/or C++ 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 20% 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, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.\n \n What to Do If You Suspect Fraud:  Should you ","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","gpu","agents","robotics","payments","cloud","rust"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5218934007?gh_jid=5218934007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T19:48:46Z","expires_at":"2026-09-29T13:37:18.257375Z","created_at":"2026-08-25T18:28:19.086086Z","updated_at":"2026-08-30T13:37:18.392192Z","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/0de3bf04-c0e7-4cad-808a-3b266b247482"},{"id":"105aa40e-13e5-4487-8a6c-c57474dfe43f","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Lead Software Architect, Rust","slug":"lead-software-architect-rust-a072e31f","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 At Anduril, our Battelspace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. \n  \n ABOUT THE JOB \n We are looking for a Lead Software Architect to join our rapidly growing C2 Systems team in  Waltham, MA.   In this role, you will be responsible for defining the architectural direction of large-scale, real-time, mission-critical C2 software that powers Anduril's air and missile defense and battlespace awareness capabilities. You will lead the design of high-performance systems spanning tactical edge deployments to distributed backend infrastructure, make critical trade-offs between performance, modularity, and maintainability at scale, and mentor senior engineers across the C2 organization . This will require deep expertise in  modern C++ and Rust , experience architecting numerics-heavy real-time systems, fluency with asynchronous/multithreaded programming (e.g., Tokio), and a strong grasp of the complex intersection of software and math — including state estimation, target tracking, optimization, and dynamic programming (MCP / Bellman equations) . If you are someone who thrives on ambitious defense problems, enjoys troubleshooting real-world systems where issues could range from electromagnetics to faulty bit encodings to incorrect math assumptions, and wants to build software that is beyond a proof-of-concept — part of real tactical code deployed to the warfighter — then this role is for you\n WHAT YOU’LL DO\n \n Define and drive the architectural vision for large-scale C2 software systems that ingest, fuse, and act on data from diverse sensors in real time\n Lead the design and implementation of performant, real-time, numerics-heavy algorithms in Rust and/or C++ at production scale\n Partner closely with research scientists to transition advanced algorithms (target tracking, state estimation, sensor-effector pairing, asset scheduling) from prototype into tactical, deployed code\n Make high-leverage architectural trade-offs across performance, modularity, testability, and maintainability for mission-critical, edge-deployed systems\n Mentor and technically lead senior engineers, setting coding standards, review processes, and CI/CD best practices across the team\n Engage directly with customers (DoD agencies, Army, Air Force, MDA, SCO) to ensure successful outcomes for mission-critical needs\n Troubleshoot complex, real-world system issues spanning software, math assumptions, sensor behavior, and networking\n Contribute to all phases of the software development lifecycle including prototyping, modeling \u0026 simulation, field testing, and deployment\n Help shape hiring and technical growth of the broader C2 organization as it hyper scales\n \n REQUIRED QUALIFICATIONS\n \n 10+ years of software engineering experience with a Bachelor's degree (or equivalent) in Computer Science, Applied/Computational Mathematics, Electrical Engineering, Aerospace Engineering, Controls/Dynamical Systems, Statistics, or related field\n Expert-level proficiency in modern C++ and/or Rust, including asynchronous and multithreaded programming (e.g., Tokio for Rust)\n Proven experience architecting large-scale, production-grade codebases in real-time or high-performance environments\n Deep experience writing performant, real-time software with numerics-heavy algorithms\n Strong foundation in applied mathematics: probability theory, linear algebra, optimization, differential equations (ODEs), and statistics\n Experience with CI/CD, unit testing, git version control, and microservices\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n PREFERRED QUALIFICATIONS\n \n M.S. or Ph.D. in a technical field (dual academic background in software + math highly valued)\n Domain expertise in target tracking, state estimation, Kalman filters, sensor fusion, or signal processing \n Prior D","salary_min":253000,"salary_max":336000,"location":"Waltham, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-vision","microservices","llm","cloud","payments","gpu","rust"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5210357007?gh_jid=5210357007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-12T15:06:35Z","expires_at":"2026-09-29T13:37:15.344951Z","created_at":"2026-08-25T18:28:18.938854Z","updated_at":"2026-08-30T13:37:15.481467Z","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/105aa40e-13e5-4487-8a6c-c57474dfe43f"},{"id":"e2ee6535-e8ad-47aa-80bf-88a13e3a97fc","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Site Reliability Engineer, Safeguards ML Infra","slug":"staff-site-reliability-engineer-safeguards-ml-infra-ebc3e8d7","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 ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise.\n This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline.\n We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping changes to critical systems safely, and of automating yourself out of the work you did last quarter.\n What you'll do: \n \n Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows.\n Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong.\n Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them.\n Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline.\n \n Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems.\n \n Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed.\n Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches.\n \n You may be a good fit if you: \n \n Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what \"verified\" means.\n Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path.\n Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes.\n Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built.\n Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale.\n Are proficient in Python; experience with Rust is a plus but not required.\n \n Strong candidates may also have: \n \n 8+ years of industry software engineering or site reliability engineering experience.\n A demonstrated history of reducing operational toil through automation, including transitioning teams from manual deployment processes to self-serve pipelines.\n Experience running launch or production-readiness review processes across multiple teams.\n Familiarity with LLM inference systems and the operational characteristics of transformer-based models.\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 th","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","agents","alignment","cloud","rust","infrastructure","devops"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5230394008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-11T00:28:36Z","expires_at":"2026-09-29T13:30:36.924785Z","created_at":"2026-08-25T18:26:19.565568Z","updated_at":"2026-08-30T13:30:37.072954Z","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/e2ee6535-e8ad-47aa-80bf-88a13e3a97fc"},{"id":"58c93681-2d56-4087-942b-042bde4ce354","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Analyst, User Well-being","slug":"safeguards-enforcement-analyst-user-well-being-fb8c4b1d","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 on the User Well-being team, you will be focused on supporting the design and deployment of mental health guardrails – iterating on detection systems, managing review queues, evaluating new interventions, and monitoring existing ones. Interventions range from steering how Claude responds in the conversation itself to in-product features that connect users to other resources. This work involves translating expert clinical guidance, internal data analyses, and legal or engineering constraints into concrete changes to how we detect, review, and respond. \n This team covers a broad set of interconnected harms including suicide, self-harm, disordered eating, AI sycophancy, and emotional dependence on AI. This position may expand into broader areas of user well-being 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 *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 sexual, violent, or psychologically disturbing nature. \n Key responsibilities \n \n \n Support the design and execution of interventions, defining key metrics, and curating evaluation datasets\n \n Partner with Engineering and Data Science teams to build, tune, and validate detection models for automated intervention systems, including threshold-setting and precision and recall tradeoffs\n \n Monitor how interventions and detection systems perform over time\n \n Review flagged content to drive enforcement and policy improvements\n \n Support the development of in-product features that connect users to crisis resources, working with Product, Legal, and external partners on referral pathways and user-facing content\n \n Support the Safeguards Policy Design team by providing detailed feedback on policy gaps based on real scenarios\n \n Keep up to date with emerging AI policy and external research on AI's relationship to mental health, and use these to inform our decision-making and workflows\n \n Minimum qualifications \n \n \n Experience in trust \u0026 safety, product policy, content moderation, or a related field, with direct exposure to mental health, suicide and self-harm, or related well-being harm areas\n \n \n \n Experience designing or running experiments, evaluations, or measurement studies to determine whether an intervention worked\n \n Experience translating policy definitions into measurable form — the rubrics, review guidelines, or classification criteria, whether applied by human reviewers or automated systems\n \n Experience managing or coordinating content review operations, including quality assurance and workflow management\n \n Proficiency in SQL and/or other data analysis tools to measure intervention efficacy, monitor workflow health, and surface policy gaps\n \n Experience working with generative AI products, including writing effective prompts for content review, classification, or evaluation\n \n Experience turning open questions and data into concise and insightful analysis\n \n Experience identifying emerging risks and communicating findings to cross-functional stakeholders\n \n Understanding of the challenges involved in implementing product policies at scale in the content moderation space\n \n Sound judgment in ambiguous, high-consequence cases, and comfort making a call and escalating appropriately when the available signal is incomplete\n \n Preferred qualifications \n \n \n Subject matter expertise in mental health, whether developed in academia, clinical practice, crisis intervention, trust \u0026 safety, or other related settings\n \n Experience building or evaluating LLM-based classification systems\n \n Experience using agentic tools (e.g. Claude Code) to scale analysis or automate recurring work\n \n Experience working within crisis support\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-","salary_min":245000,"salary_max":285000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","generative-ai","healthcare","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5374778008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-03T18:48:40Z","expires_at":"2026-09-29T13:30:32.90253Z","created_at":"2026-08-25T18:26:17.95564Z","updated_at":"2026-08-30T13:30:33.04447Z","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/58c93681-2d56-4087-942b-042bde4ce354"},{"id":"47f0e382-b011-49ee-a450-b151364fed77","company_id":"f5ee7284-a657-4da2-b351-cb806a3681cd","title":"Software Engineer - Platform Infrastructure (Rust, C++)","slug":"software-engineer-platform-infrastructure-rust-c-8231bc6c","description":"SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.  Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n RESPONSIBILITIES: \n \n Design, build, and implement a large-scale distributed system that powers one of the world's largest supercomputing clusters.\n Dive into the low-level stack to profile, debug, and optimize performance across diverse systems, including GPUs, Linux kernel, networking, and filesystems, to achieve peak efficiency.\n Collaborate on hardware, software, and algorithm co-design to push the boundaries of AI training.\n Maintain and innovate on our codebase to ensure scalability and reliability.\n Develop tools to enhance team productivity and streamline workflows.\n \n BASIC QUALIFICATIONS: \n \n Systems programming experience in C, C++, or Rust\n Computer systems fundamentals with a grasp of how computers execute code from transistors to high-level applications.\n Hands-on expertise with Kubernetes (K8s), including cluster architecture, pod lifecycle, networking (CNI), storage (CSI), service mesh, and production-grade operations\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n Collaborate in a fast-paced, open environment to design and foundational systems.\n Strong debugging skills across the full stack — from kernel and OS up through container orchestration layers\n Deep knowledge of operating systems internals (process scheduling, memory management, file systems, and synchronization primitives)\n Proficiency in performance analysis, profiling, and low-level optimization techniques\n Solid understanding of computer networks and the TCP/IP stack\n Experience working with Linux kernel concepts or systems-level debugging tools (e.g., perf, gdb, strace, Wireshark)\n Proficiency deploying and managing workloads using Kubernetes manifests, Helm, Operators, and GitOps workflows\n Solid understanding of containerization technologies (Docker, containerd, crio) and their interaction with the Linux kernel\n Experience with observability and monitoring in distributed systems (Prometheus, Grafana, VictoriaMetrics, OpenTelemetry, or similar)\n \n COMPENSATION AND BENEFITS: \n $180,000 - $440,000 USD\n Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short \u0026 long-term disability insurance, life insurance, and various other discounts and perks.\n SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .","salary_min":180000,"salary_max":440000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","rust","c++","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/xai/jobs/5191142007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-20T19:48:01Z","expires_at":"2026-09-29T13:33:52.864008Z","created_at":"2026-07-22T14:03:42.893161Z","updated_at":"2026-08-30T13:33:52.998722Z","company_name":"xAI","company_slug":"xai","company_logo_url":"https://www.google.com/s2/favicons?domain=x.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/47f0e382-b011-49ee-a450-b151364fed77"},{"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":["llm","distributed-systems","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":"2026-09-29T13:38:15.037385Z","created_at":"2026-07-16T14:08:43.739411Z","updated_at":"2026-08-30T13:38:15.178001Z","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":["generative-ai","alignment","llm","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":"2026-09-29T13:30:32.9984Z","created_at":"2026-07-15T14:00:32.344861Z","updated_at":"2026-08-30T13:30:33.148277Z","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":["payments","generative-ai","alignment","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":"2026-09-29T13:30:32.503499Z","created_at":"2026-07-15T14:00:31.991198Z","updated_at":"2026-08-30T13:30:32.646959Z","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":["generative-ai","payments","alignment","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":"2026-09-29T13:30:32.034863Z","created_at":"2026-07-15T14:00:31.46483Z","updated_at":"2026-08-30T13:30:32.1763Z","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":"0ee89bfa-ded6-4e37-b210-b74c5fb9663f","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Safeguards Review Tooling","slug":"staff-software-engineer-safeguards-review-tooling-cd693ed1","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 engineers for 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: as one of the first engineers on this new team, 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 These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signal back into model training. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy.\n Key responsibilities\n \n \n Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows\n \n Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely\n \n Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows\n \n Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error\n \n Build in the guardrails that sensitive internal tools require: granular permissions, audit trails, data-access controls, and reviewer wellbeing features such as content obfuscation and exposure limits\n \n Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments\n \n Minimum qualifications\n \n \n A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions\n \n Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably\n \n Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams\n \n Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders\n \n Care about the societal impacts of AI and want your work to make powerful systems safer\n \n Preferred qualifications\n \n \n 8+ years of industry software engineering experience \n \n Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale\n \n Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments\n \n Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation — including using agentic coding tools (e.g., Claude Code) as a core part of your own development workflow\n \n Experience building developer platforms or extensible tooling frameworks that other teams build on top of\n \n Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts\n \n A product-minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it\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 ","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","llm","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5342935008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T16:57:38Z","expires_at":"2026-09-29T13:30:42.776367Z","created_at":"2026-07-15T14:00:39.323995Z","updated_at":"2026-08-30T13:30:42.918821Z","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/0ee89bfa-ded6-4e37-b210-b74c5fb9663f"},{"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":["llm","alignment","generative-ai","security","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":"2026-09-29T13:30:32.409052Z","created_at":"2026-07-12T14:00:28.485977Z","updated_at":"2026-08-30T13:30:32.551016Z","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":"2026-09-29T13:30:32.596878Z","created_at":"2026-07-12T14:00:28.575559Z","updated_at":"2026-08-30T13:30:32.756928Z","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":["security","distributed-systems","agents","payments","llm","alignment","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":"2026-09-29T13:30:27.634024Z","created_at":"2026-07-12T14:00:24.449098Z","updated_at":"2026-08-30T13:30:27.777929Z","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":"2026-09-29T13:30:39.751009Z","created_at":"2026-07-12T14:00:33.033504Z","updated_at":"2026-08-30T13:30:39.890755Z","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":["agents","llm","alignment","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":"2026-09-29T13:30:45.003837Z","created_at":"2026-07-09T14:00:43.257037Z","updated_at":"2026-08-30T13:30:45.143609Z","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":["alignment","agents","llm","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":"2026-09-29T13:30:44.911697Z","created_at":"2026-07-09T14:00:43.170356Z","updated_at":"2026-08-30T13:30:45.05067Z","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"}],"page":1,"per_page":20,"total":71,"total_is_exact":true,"total_pages":4}