{"has_next":true,"jobs":[{"id":"ed3d2cf9-e188-43f9-a65d-feeadcbe72a0","company_id":"b6e5a3d1-9bde-4a82-8d78-9f38ed99ee81","title":"Senior Platform Product Manager - AI SDLC Trusted Throughput","slug":"senior-platform-product-manager-ai-sdlc-trusted-throughput-1f1f0508","description":"As a Senior Platform Product Manager focused on AI SDLC Trusted Throughput, you will define and drive the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. As AI accelerates development velocity and system complexity, you will help evolve SDLC systems from human-supervised workflows to platforms with built-in safety, observability, and correctness guarantees. You will partner closely with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance while enabling both engineers and AI agents to move quickly with confidence. This role offers the opportunity to shape foundational developer infrastructure and influence how AI-powered software delivery operates across Datadog.\n  \n At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.\n  \n What You’ll Do: \n \n Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform\n Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety\n Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows\n Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle\n Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation\n Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compliance, legal, privacy, and governance stakeholders\n \n  \n Who You Are: \n \n You have 5+ years of experience in B2B SaaS Product Management or a related technical leadership role focused on developer platforms, infrastructure, or SDLC tooling\n You have experience defining, instrumenting, and operationalizing engineering performance and reliability metrics, including DORA metrics and deployment health indicators\n You are comfortable navigating ambiguity and influencing highly technical stakeholders, including senior engineers and technical leadership\n You have a strong perspective on how AI is transforming software engineering workflows and understand the operational, reliability, and governance risks introduced by autonomous systems\n You are an effective communicator who can present complex technical concepts to engineering teams, cross-functional stakeholders, and executive audiences\n You have a Bachelor’s degree in Engineering, Computer Science, Information Technology, or equivalent practical experience\n \n Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. \n  \n Benefits \u0026 Growth: \n \n New hire stock equity (RSUs) and employee stock purchase plan (ESPP)\n Continuous professional development, product training, and career pathing\n Intra-departmental mentor and buddy program for in-house networking\n An inclusive company culture, ability to join our Community Guilds\n Access to Inclusion Talks, our Internal panel discussions\n Free, global Spring Health benefits for employees and dependents age 6+\n Competitive global benefits\n \n  \n Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. \n Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.\n The reasonably estimated yearly salary for this role at Datadog is:\n $192,000 — $240,000 USD \n \n About Datadog:  \n Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #Datadog","salary_min":192000,"salary_max":240000,"location":"New York, NY","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["security","healthcare","agents","rust"],"apply_url":"https://careers.datadoghq.com/detail/7947683/?gh_jid=7947683","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T19:36:21Z","expires_at":"2026-06-29T14:03:22.889578Z","created_at":"2026-05-27T14:03:34.932799Z","updated_at":"2026-05-30T14:03:23.002439Z","company_name":"Datadog","company_slug":"datadog","company_logo_url":"https://www.google.com/s2/favicons?domain=datadoghq.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ed3d2cf9-e188-43f9-a65d-feeadcbe72a0"},{"id":"4857116e-21dd-4d44-980b-3914e1f50a6a","company_id":"0a7c68cd-f294-457e-939a-62969b72e929","title":"Software Engineer, Distributed Systems (Trust \u0026 Safety)","slug":"software-engineer-trust-safety-distributed-systems-faf4d458","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","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","api-design","llm","rust"],"apply_url":"https://jobs.ashbyhq.com/gamma/c1efd7d6-8db3-4a52-807c-fbf080c56806/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-14T23:42:32.717Z","expires_at":"2026-06-29T14:07:45.074737Z","created_at":"2026-05-15T14:08:48.00101Z","updated_at":"2026-05-30T14:07:45.184205Z","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/4857116e-21dd-4d44-980b-3914e1f50a6a"},{"id":"5cfb40f9-9a98-41d6-a73c-1d5f56b271b4","company_id":"a0000000-0000-0000-0000-000000000001","title":"Software Engineer, Safeguards Labs","slug":"pipeline-software-engineer-safeguards-labs-04cf0a54","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 Safeguards Labs is a new team operating at the intersection of research and engineering, chartered to investigate novel safety methods that protect Claude and the people who use it. We prototype new approaches to safe models, usage safeguards, and production safety, pressure-testing ideas before they graduate into production systems run by our partner Safeguards teams.\n We're hiring software engineers to partner with our research engineers and turn promising prototypes into reliable, production-grade safeguards. The team is small, so each engineer has substantial latitude over what they work on and high leverage on the team's direction.\n Key responsibilities \n \n \n Take research prototypes and harden them into production services that integrate with Anthropic's real-time safeguards path.\n \n Build data and evaluation infrastructure that lets the team iterate on prototypes quickly and measure whether safeguards actually work, including in agentic settings.\n \n Own deployment, monitoring, and reliability for systems Labs ships.\n \n Build internal tooling that helps investigators surface and act on abuse patterns.\n \n Collaborate with research engineers on scoping and contribute to decisions about which prototypes are ready to graduate.\n \n Minimum qualifications \n \n \n Strong proficiency in Python and comfort working with large datasets.\n \n A track record of designing, building, and operating production backend systems or data pipelines.\n \n Experience taking software from prototype to production, including testing, monitoring, and reliability work.\n \n Working familiarity with how large language models operate, even if LLMs aren't your primary background.\n \n Care about the societal impacts of AI and want your work to directly reduce real-world harm.\n \n Preferred qualifications \n \n \n At least 5 years of software engineering experience.\n \n Experience deploying ML systems or classifiers into production.\n \n Background in trust and safety, integrity, fraud detection, threat intelligence, or adversarial ML.\n \n Experience building developer-facing tooling or platforms that accelerate research workflows.\n \n Familiarity with evaluation methodologies for language models.\n \n Experience with agentic environments.\n \n A history of partnering with researchers and successfully transferring prototypes into production.\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 and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don'","salary_min":320000,"salary_max":485000,"location":"New York, NY","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["llm","agents","search","data-pipeline","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5219486008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-14T19:21:56Z","expires_at":"2026-06-29T14:00:25.498086Z","created_at":"2026-05-15T14:00:22.117Z","updated_at":"2026-05-30T14:00:25.614545Z","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/5cfb40f9-9a98-41d6-a73c-1d5f56b271b4"},{"id":"1371b780-b744-4e8b-a313-1e2fc01543d8","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Sr. Data Scientist, Trust and Safety","slug":"sr-data-scientist-trust-and-safety-509a3e81","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale experiences in a complicated ecosystem, ensuring they are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform.\n In this role, you will design and build sampling frameworks, complex data aggregations, and measurement methodologies to track Trust \u0026 Safety policy violations across complex, multi-component user interactions. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust \u0026 Safety Ops, subject matter expert teams, and Product Managers. The results of your work will directly influence platform safety metrics, policy compliance, and executive-level visibility into platform health.\n What you'll do:\n \n Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units.\n Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate prevalence rates for specific Trust \u0026 Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to further expand and improve the prevalence measurement.\n Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling.\n Partner cross-functionally to orchestrate \"Offline\" dashboards and robust \"Online\" production workflows for continuous safety monitoring.\n Collaborate closely with Trust \u0026 Safety teams to translate written safety policies into unified LLM prompts, coordinate BPO labeling queues, and calibrate labeler decision quality\n \n What we're looking for:\n \n 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.\n Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust \u0026 Safety.\n Deep familiarity with the measurement challenges of a complex ecosystem, including statistical interpretation of data.\n Experience designing and calibrating measurement frameworks, managing complex logging tables (e.g., user/interaction/component data), and defining directional success metrics.\n Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with complex ML pipelines and up-sampling.\n Ability to drive ambiguous measurement projects end-to-end, overcoming unstructured policy dependencies with high ownership.\n Excellent written and verbal communication skills, with the ability to advocate for decision quality before releasing metrics to executive leadership.\n \n  \n In - Office Requirement Statement \n \n We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.\n This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.\n \n Relocation Statement \n \n This position is not eligible for relocation assistance.\n \n  \n #LI-NM4 \n At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary ran","salary_min":139764,"salary_max":287749,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","llm","rust","data-science"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=7793344","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T20:47:58Z","expires_at":"2026-06-29T14:08:27.256492Z","created_at":"2026-05-14T14:09:34.44346Z","updated_at":"2026-05-30T14:08:27.370588Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1371b780-b744-4e8b-a313-1e2fc01543d8"},{"id":"7cd5cf51-55e4-4bb7-b440-f28f4e43d627","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Rust Software Engineer, Air Vehicle Autonomy","slug":"rust-software-engineer-air-vehicle-autonomy-44fe61e7","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n The Air Dominance \u0026 Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.\n REQUIRED QUALIFICATIONS \n \n Eligible to obtain and maintain an active U.S. Top Secret security clearance\n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n 3+ years of production-grade Rust experience in a Linux development environment\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments.\n Feature and algorithm development with an understanding of behavior trees.\n Developing software/hardware for flight systems and safety critical functionality.\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . \n \n \n Exercise Caution with Unsolicited Outreach:  If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, ","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["robotics","cloud","computer-vision","gpu","agents","payments","rust"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5125172007?gh_jid=5125172007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-30T15:16:55Z","expires_at":"2026-06-29T14:06:47.176139Z","created_at":"2026-05-06T14:07:54.177093Z","updated_at":"2026-05-30T14:06:47.294486Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7cd5cf51-55e4-4bb7-b440-f28f4e43d627"},{"id":"f3aa6b77-4470-460e-8ed5-5cb0f8b64720","company_id":"0d5cf132-03f2-47aa-8161-dcb1b95aca68","title":"Rust SW-Silicon Co-verification Engineer","slug":"rust-sw-silicon-co-verification-engineer-9884bfd4","description":"What MatX Is Building \n MatX is seeking engineers with strong Rust skills to join our team as we create best-in-class silicon for high-performance and sustainable GenAI. You will write Rust tests that verify our software models and hardware design behave identically and match the specification.\n Your tests and tooling will exercise the chip's software model and hardware design side by side, catching mismatches before they become silicon bugs. If you've ever wished your knack for writing correct, thorough Rust could be applied to something where correctness has million-dollar consequences, this is the role for you. You do not need prior hardware or verification experience to apply — if you know Rust, we will teach you the hardware side.\n What You'll Do Here \n \n Write Rust tests that verify our software models and hardware design agree with each other and with the specification\n Build test infrastructure in Rust that makes it easy to add new tests and run them at scale\n Develop and maintain harnesses that connect your tests to our hardware\n Write tests that systematically explore corner cases and rare event sequences — both targeted tests and tests that use randomization to find surprises\n Work with architects and design engineers to turn specifications into concrete, testable properties\n \n Who You Are \n \n Proficient in production Rust — you've shipped real systems. You're comfortable with ownership, traits, generics with bounds, and enums as sum types. You understand why Result is better than exceptions and what the borrow checker is actually protecting you from\n Strong engineering fundamentals — you write clean, well-tested, well-documented code and are comfortable with build systems, version control, and CI workflows\n Comfortable with low-level systems concepts: memory layout, concurrency, bit manipulation\n Genuinely interested in hardware and willing to ramp quickly on chip verification\n This is a hybrid role that will require you to work from our Mountain View, CA office 3 days a week on Tuesday through Thursday\n \n Bonus Points If You Have \n \n Experience with hardware in any capacity — FPGA projects, embedded systems, robotics, or prior roles touching hardware engineering\n Experience with foreign function interfaces — Rust FFI is ideal, but any experience crossing language boundaries is valuable\n Experience with Bluespec (BH or BSV)\n Formal methods, model checking, or property-based testing (e.g., proptest, Kani)\n Understanding of computer architecture: pipelines, caches, memory hierarchies, on-chip interconnects\n \n Compensation \n The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.\n \n Early Career - $120,000 - $250,000 + equity\n Mid Career - $175,000 - $362,500 + equity\n Senior Career - $250,000 - $475,000 + equity\n \n What We Offer \n \n A Stake in our success  A cash/equity mix that fits your needs and option to do early exercise\n Health \u0026 Wellness  Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (even if you don’t)\n Time To Recharge  4 weeks paid time off (accrued), 12 company holidays, and 3 weeks remote/flexible work per year\n Support to Parents  Up to 12 weeks of paid parental leave, regardless of your path to parenthood\n Learning \u0026 Development  $1,500 yearly towards your professional development e.g. conferences, courses, and other learning opportunities\n Team Connection  Team Lunches, quarterly off-sites, and regular town halls\n Financial Wellbeing  401K and/or Roth IRA, with 5% company contribution, even if you don’t!\n Flexible Spending Accounts  Pre-tax spend accounts for medical, dental/vision, dependent care, parking, and transit expenses\n Commute On Us  For those commuting up to 1 hour, put your rideshare cost on our company card and reclaim the drive-time to get work done!\n MatX E[x]tras  $50 per month to use on the perks you care about most \n Remote Perks  We work remotely Monday \u0026 Friday, supported by home-tech setup, and remote wifi expense reimbursement\n \n As part of our dedication to the diversity of our team and our focus on creating an inviting and inclusive work experience, MatX is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. \n All candidates must be authorized to work in the United States and work from our offices in Mountain View Tuesdays-Thu","salary_min":250000,"salary_max":475000,"location":"Mountain View, CA","workplace":"remote","job_type":"full-time","experience_level":"principal","tags":["cloud","robotics","generative-ai","rust"],"apply_url":"https://job-boards.greenhouse.io/matx/jobs/5187495008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-13T22:55:47Z","expires_at":"2026-06-29T14:13:28.438054Z","created_at":"2026-04-16T15:55:37.241011Z","updated_at":"2026-05-30T14:13:28.551804Z","company_name":"MatX","company_slug":"matx","company_logo_url":"https://www.google.com/s2/favicons?domain=matx.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f3aa6b77-4470-460e-8ed5-5cb0f8b64720"},{"id":"ecf394f2-d227-4099-92b6-3e9cf2b9a7b2","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Staff Product Manager, AI Safety","slug":"staff-product-manager-ai-safety-7294aeac","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n As a Staff Product Manager for the GenAI Safety team within Trust \u0026 Safety, you'll define and drive the product strategy for ensuring Pinterest's GenAI-powered systems are safe, fair, and trustworthy. You'll be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly.\n This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You'll work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements. \n What you'll do: \n \n GenAI Safety Strategy: Own and drive the product roadmap for GenAI safety across Pinterest's AI-powered surfaces, including assisted search, content recommendations, automated moderation, and generative content creation tools\n Threat Modeling \u0026 Red-Teaming: Lead proactive identification of risks, failure modes, and adversarial attack vectors across AI systems - designing structured red-teaming exercises and evaluation frameworks before and after product launches\n Policy-to-Product Translation: Partner closely with Trust \u0026 Safety policy, legal, and ethics teams to translate nuanced content guidelines (e.g., self-harm, misinformation, body image) into precise, buildable product requirements and model guardrails\n Cross-Functional Collaboration: Work with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations\n Evaluation \u0026 Measurement: Define and track quantitative safety metrics - including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction - to ensure AI systems meet safety standards at scale\n Incident Response: Develop and maintain AI safety incident runbooks and escalation frameworks, and lead rapid triage and remediation when AI systems produce harmful or unexpected outputs\n Emerging Risk Anticipation: Stay ahead of the rapidly evolving AI landscape to identify safety implications of new capabilities (e.g., multi-modal generation, synthetic media, agentic AI) and proactively build extensible safety infrastructure to address unknown future applications\n Global \u0026 Cultural Sensitivity: Ensure AI safety approaches account for the needs, norms, and contexts of Pinterest's diverse global user base - avoiding one-size-fits-all solutions and centering equity in safety design\n User \u0026 Employee Wellbeing: Champion the safety and psychological wellbeing of both users who encounter harmful content and internal teams (content reviewers, T\u0026S specialists) who work on the front lines of content safety \n \n What we're looking for: \n \n 7+ years of product management experience, with meaningful depth in GenAI/ML, trust \u0026 safety, content moderation, or responsible AI\n Strong fluency in AI/ML concepts - including generative models, recommendation systems, multi-modal AI, and reinforcement learning from human feedback (RLHF)\n Experience with AI ethics frameworks, responsible AI principles, or relevant regulatory landscapes (e.g., NIST AI RMF, EU AI Act)\n Demonstrated ability to lead cross-functional teams through ambiguous, high-stakes problem spaces with a bias for action\n Proficiency in engaging with research, mapping threat models, validating risks, and translating insights into clear product strategies and roadmaps\n Excellent communication skills - the ability to articulate complex technical and ethical trade-offs to non-technical audiences and senior leadership, facilitating clear decision-making\n Deep e","salary_min":164695,"salary_max":339078,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["agents","reinforcement-learning","alignment","generative-ai","rust"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=7718015","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T21:44:29Z","expires_at":"2026-06-29T14:08:28.504374Z","created_at":"2026-04-13T11:48:13.489135Z","updated_at":"2026-05-30T14:08:28.613217Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ecf394f2-d227-4099-92b6-3e9cf2b9a7b2"},{"id":"9dab3718-a3e9-422b-92ff-c266ccd0ebd9","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff Software Engineer, Cloud Inference Safeguards","slug":"software-engineer-cloud-inference-safeguards-666b9557","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 seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.\n You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.\n Responsibilities: \n \n Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path\n Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments\n Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T\u0026S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving\n Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture\n Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe\n Work closely with Safeguards research, Policy \u0026 Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.\n \n You may be a good fit if you: \n \n Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience\n Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust \u0026 safety, anti-abuse, fraud, or integrity systems\n Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling\n Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement\n Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets\n Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development\n Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations\n Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space\n \n Strong candidates may also have experience with: \n \n Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale\n Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production\n Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own\n Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries\n Working closely with operational and human-review teams to build custom internal tooling, adm","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["agents","alignment","data-pipeline","inference","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5168829008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-27T21:15:24Z","expires_at":"2026-06-29T14:00:26.904903Z","created_at":"2026-04-13T09:36:04.690379Z","updated_at":"2026-05-30T14:00:27.014438Z","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/9dab3718-a3e9-422b-92ff-c266ccd0ebd9"},{"id":"15cbf496-8303-4e32-9aa5-764ae9cde9a9","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Principal Software Development Engineer - Rust, LLM, Networking","slug":"principal-software-development-engineer-rust-llm-networking-41d47fe0","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n Role \n We are hiring a Principal Software Development Engineer to be a founding member of our AI Security Team, offering the chance to build a high-reliability, low-latency AI security solution designed to scale for hundreds of millions of users. In this role, reporting to the Director, Software Development Engineering, you will be responsible for designing and implementing core infrastructure components and distributed systems while collaborating closely with various stakeholders throughout the development lifecycle. This is a hybrid role, reporting in to the San Jose, CA office 3 days a week.  \n What you’ll do (Role Expectations) \n \n Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture.\n Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols.\n Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure.\n Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components.\n Contribute actively to the team through technical documentation, system design reviews, code reviews, and by mentoring junior engineering staff.Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams.\n \n Who You Are (Success Profile) \n \n Drive the mission with an owner's mindset, seamlessly bridging high-level strategy and detailed, hands-on execution.\n Actively seek challenges and find complex solutions that deliver maximum impact.\n Deeply empathize with internal and external stakeholders, anchoring every decision in addressing their real-world problems.\n Maintain strong technical curiosity, continually seeking more secure, scalable, and effective methods to accelerate transformation.\n Connect your work to the company's broader mission, designing solutions to support high-growth, global organizational needs.\n \n What We’re Looking for (Minimum Qualifications) \n \n 12+ years of software engineering experience\n Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std.\n Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems.\n Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces.\n Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines.\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization.\n Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization.\n Practical experience with gRPC, Protobufs, and L4-L7 networking protocols, including TCP/IP, TLS, QUIC, HTTP, and WebSockets (WSS).\n Direct experience in validating AI-driven products, including understanding of model performance metrics and MLOps principles.\n \n #LI-BH1 #LI-Hybrid \n Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based o","salary_min":182000,"salary_max":260000,"location":"San Jose, CA","workplace":"hybrid","job_type":"full-time","experience_level":"principal","tags":["api-design","distributed-systems","data-pipeline","mlops","llm","security","rust"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5066920007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-26T19:24:58Z","expires_at":"2026-06-29T14:09:18.824424Z","created_at":"2026-04-13T12:16:17.465128Z","updated_at":"2026-05-30T14:09:18.939755Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/15cbf496-8303-4e32-9aa5-764ae9cde9a9"},{"id":"13ae3776-ae6e-4c09-9668-08c05d84335f","company_id":"a0000000-0000-0000-0000-000000000001","title":"Engineering Manager, Safeguards Data Infrastructure","slug":"engineering-manager-safeguards-data-infrastructure-c31a7cdd","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 responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organization access that data safely and ergonomically.\n As Engineering Manager of this team, you'll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies\n Responsibilities: \n \n Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic's safeguards capabilities\n Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands\n Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints\n Drive tooling and architecture decisions that maximize data retention within the bounds of our privacy and compliance requirements\n Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)\n Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts\n Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination\n Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals\n Partner with recruiting to attract, hire, and retain strong engineering talent\n \n You may be a good fit if you: \n \n Have 4+ years of front-line engineering management experience\n Have a track record of leading teams that build and operate data infrastructure at scale\n Have hands-on software engineering experience as an individual contributor prior to moving into management\n Have a strong understanding of data privacy principles, PII handling, and compliance frameworks\n Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities\n Have experience working cross-functionally across infrastructure, product, and compliance or security teams\n Are clear and persuasive communicators, both in writing and in person\n \n Strong candidates may also: \n \n Have experience with multi-cloud or multi-region data portability, particularly in regulated environments\n Have built privacy-preserving data pipelines or interfaces for ML workloads\n Have experience with enterprise data contracts or zero data retention architectures\n Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data\n Have a passion for building diverse and inclusive teams\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $405,000 — $485,000 USD \n 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 £325,000 — £390,000 GBP \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","salary_min":405000,"salary_max":485000,"location":"London, UK","workplace":"hybrid","job_type":"full-time","experience_level":"principal","tags":["data-pipeline","alignment","rust","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5103078008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-01T20:35:57Z","expires_at":"2026-06-29T14:00:15.023586Z","created_at":"2026-04-13T09:35:53.162125Z","updated_at":"2026-05-30T14:00:15.134662Z","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/13ae3776-ae6e-4c09-9668-08c05d84335f"},{"id":"c99e4776-2f5e-42d3-9f30-547c19327e99","company_id":"a0000000-0000-0000-0000-000000000001","title":"Threat Collections Engineer","slug":"threat-collections-engineer-f99d5e08","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the Role \n We are looking for a Threat Collections Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact.\n This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function.\n Responsibilities: \n \n Build automated detection systems that use disparate signals to identify abusive behavior. \n Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes\n Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data\n Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations\n Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries\n Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure\n Establish feedback loops with investigators to tune detection systems and reduce false positives\n Scrape and normalize data from external sources to feed threat detection and enrichment workflows\n \n You may be a good fit if you: \n \n Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation\n Have experience with data pipeline orchestration tools (Airflow, DBT, or similar)\n Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques\n Have experience integrating external APIs and building data ingestion systems\n Can translate investigator needs and workflows into technical requirements\n Are comfortable building v0 systems and iterating based on user feedback\n Have strong communication skills for working closely with non-engineering stakeholders\n \n Strong candidates may also have: \n \n Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII)\n Background in cyber threat intelligence, security operations, or abuse detection\n Experience building MCP servers or similar tool integrations for AI systems\n Familiarity with web scraping and data extraction at scale\n Experience with behavioral analytics or anomaly detection systems\n Understanding of LLM capabilities and how to leverage them for automation\n A Top Secret Clearance \n \n Deadline to apply: None. Applications will be reviewed on a rolling basis.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $300,000 — $320,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and w","salary_min":300000,"salary_max":320000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["llm","data-pipeline","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5074937008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-21T04:17:40Z","expires_at":"2026-06-29T14:00:28.992254Z","created_at":"2026-04-13T09:36:08.26175Z","updated_at":"2026-05-30T14:00:29.102432Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c99e4776-2f5e-42d3-9f30-547c19327e99"},{"id":"4f2be451-8b16-4e8c-9c1c-bb6beaff2c69","company_id":"a0000000-0000-0000-0000-000000000001","title":"Technical Cyber Threat Investigator ","slug":"technical-cyber-threat-investigator-581dfbba","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 Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. \n You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm.\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 Responsibilities \n \n Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities\n Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform\n Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems\n Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data\n Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale\n Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports\n Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders\n Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices\n \n You may be a good fit if you \n \n Have demonstrated proficiency in SQL and Python for data analysis and threat detection\n Have experience with large language models and understanding of how AI technology could be misused for cyber threats\n Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence\n Have experience tracking threat actors across surface, deep, and dark web environments\n Can derive insights from large datasets to make key decisions and recommendations\n Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT\u0026CK, etc.)\n Have strong project management skills and ability to build processes from the ground up\n Possess excellent communication skills to collaborate with cross-functional teams and present to leadership\n \n Strong candidates may also have \n \n Experience working with government agencies or in regulated environments\n Background in AI safety, machine learning security, or technology abuse investigation\n Experience building and scaling threat detection systems or abuse monitoring programs\n Active Top Secret security clearance\n \n Deadline to apply \n None. Applications will be reviewed on a rolling basis.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $230,000 — $290,000 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.  Resea","salary_min":230000,"salary_max":290000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["security","alignment","llm","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5066995008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-14T04:58:23Z","expires_at":"2026-06-29T14:00:28.674002Z","created_at":"2026-04-13T09:36:07.799975Z","updated_at":"2026-05-30T14:00:28.787984Z","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/4f2be451-8b16-4e8c-9c1c-bb6beaff2c69"},{"id":"43b8bb00-836b-4de0-99b6-c14e5c9be1da","company_id":"a0000000-0000-0000-0000-000000000001","title":"Biological Safety Research Scientist","slug":"biological-safety-research-scientist-12698524","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  \n About the Role \n We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviors and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge—balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors.\n In this role, you will:\n \n Design and execute capability evaluations (\"evals\") to assess the capabilities of new models\n Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers\n Analyze safety system performance in traffic, identifying gaps and proposing improvements\n Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces\n Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle\n Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety\n Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these\n \n You may be a good fit if you have \n \n A PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, OR equivalent professional experience \n Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred)\n Deep expertise in modern biology, including both \"reading\" (e.g. high-throughput measurement, functional assays) and \"writing\" (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology\n Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines)\n Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders\n Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies\n Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve\n \n Preferred Qualifications \n \n Background in AI/ML systems, particularly experience with large language models\n Experience in developing ML for biological systems\n Extensive experience in complex projects with multiple stakeholders\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 $300,000 — $320,000 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 prema","salary_min":300000,"salary_max":320000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["alignment","llm","rust","research"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5066977008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-14T04:54:46Z","expires_at":"2026-06-29T14:00:12.519807Z","created_at":"2026-04-13T09:35:50.422324Z","updated_at":"2026-05-30T14:00:12.632307Z","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/43b8bb00-836b-4de0-99b6-c14e5c9be1da"},{"id":"5f5e6c22-14cc-45b4-aa47-ac76e0be06df","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":" Staff Data Scientist - Trust and Safety","slug":"staff-data-scientist-trust-and-safety-8d155a76","description":"RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance. \n As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.\n Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.\n Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this blog post . The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations.\n More information is available at https://www.databricks.com/trust . \n The impact you will have:\n \n You will develop and implement Machine Learning models to detect anomalous activity in products that we offer.\n You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.\n You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.\n You will create solutions and frameworks to meet compliance requirements at Databricks\n You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.\n You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.\n You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.\n You will represent Databricks at academic and industrial conferences and events. \n \n What we look for:\n \n 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies\n Understanding of good software engineering practices around testing, code reviews, and deployment.\n Experience working in a highly cross functional alignment and talking about results to non-technical partners.\n Experience deploying Data Science / ML solutions in production to achieve results.\n Coding skills in SQL and a software development language (preferably Python)\n Experience with distributed data processing systems like Spark and familiarity with software engineering principles.\n Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.\n Masters or higher in quantitative fields or equivalent experience in industry\n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . \n  \n Local Pay Range\n $192,000 — $260,000 USD \n About Databricks \n Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratiz","salary_min":192000,"salary_max":260000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["security","data-pipeline","rust","data-science"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8178287002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-09-19T20:40:00Z","expires_at":"2026-06-29T14:02:00.973777Z","created_at":"2026-04-13T09:37:49.231758Z","updated_at":"2026-05-30T14:02:01.081063Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5f5e6c22-14cc-45b4-aa47-ac76e0be06df"},{"id":"116528a2-dbc3-441b-ad9d-a1371c150e8f","company_id":"11af9262-635a-44b7-a3bb-1df3149fa9e2","title":"Systems Engineer (Rust)","slug":"systems-engineer-rust-deccf9d5","description":"COMPANY OVERVIEW\n\nEach year, 2.5 trillion hours are spent on household chores. At Matic, we’re on a mission to recapture that lost time, and we’re doing it by revolutionizing home robotics.\n\nOur first product, also called Matic, is a Wall-E-esque floor cleaning robot. We've built what amounts to \"full self-driving in the home” with real-time 3D mapping, adaptive path-tracking, and a precise semantic understanding of the home. Our breakthroughs in spatial AI allow Matic to work reliably in real homes, using only RGB cameras and neural networks running on-device.\n\n\n\n\nPRIVACY FIRST\n\nWhat happens in the home, stays in the home. Our robots are private by design, with all data processing performed by the robot itself, not in the cloud.\n\n\n\n\nOUR APPROACH\n\nBefore the iPhone, consumers adopted several distinct devices; cell phones, PDAs, and portable music players each served a particular need. We believe in a similar progression for home robotics, starting with single-purpose robots and building iteratively toward more complex capabilities over time.\n\n\n\n\nOUR CULTURE\n\nMatic is a tight-knit and collaborative team, singularly focused on building products our customers will cherish. We're ultra-hardworking people committed to solving tough problems that save precious time and energy.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a meticulous, Rust-loving Software Engineer to join us on the ground floor, with runway for huge and immediate impact.\n\nIn this role you'd be joining our Platform team, which works on a diverse set of problems, ranging from low-level driver and kernel development all the way up to interfacing with the complex perception algorithms running locally on the robot, with high performance expectations and very limited computes.\n\nIf you're passionate about Rust and driven by high levels of ownership and solving complex problems, we’d love to chat! You can check out our blog here: https://maticrobots.com/blog/why-rust-its-the-safe-choice/\n\n\n\nWhat you'll do\n\n - Build software systems that can range from building compute graph pipelines, auto-update of software/firmware, enabling delightful, multi-modal (gestures, voice, etc.) interactions to network systems for debugging and logging\n\n - Enable very fast robot and device data transfer protocols that feel like magic to users, including designing secure, efficient, and robust software for real-time data and video transfer\n\n - Perform root cause analysis of system crashes and fix issues\n\n - Recognize opportunities to create tools and improve infrastructure for more developer efficiency\n\n - Closely collaborate with the Software, Algorithms, and Hardware teams to bring product vision to life that changes the perception of what’s possible\n\n - Be an integral member of our small software team\n\n\n\nWhat we look for\n\n - Fluency in Rust, good to have C, C++\n\n - Familiarity with a systems scripting language, such as Shell or Python\n\n - Familiarity with userspace Linux programming and conventions\n\n - Proven track record of building great software\n\n - Pride in your programming and attention to detail\n\n - Comfort with a fast-paced, startup atmosphere -- you don’t shy away from the hard work\n\n - High level of maturity, ownership, and pride in your work\n\n\n\nWe'd love to hear from you if...\n\n - You are genuinely motivated to help those around you\n\n - You are passionate about learning outside of your normal comfort zones\n\n - You love diagnosing complex technical issues\n\n - You are excited to do great work\n\n - You are excited about taking ownership on a wide range of systems and drive projects from concept through shipping\n\n\n\nCompensation\n\nBase $120,000 — $200,000\n\nActual Compensation will depend on skills, experience and qualifications. Base Salary is one part of the total compensation package. The role is also eligible for equity through the company’s discretionary equity program, along with a comprehensive benefits package that includes medical, dental and vision coverage access to a 401(k) plan.","salary_min":120000,"salary_max":200000,"location":"Mountain View, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["deep-learning","robotics","autonomous-vehicles","rust"],"apply_url":"https://jobs.ashbyhq.com/MaticRobots/56979df7-cb5e-45c3-baa9-3e1d9c8c2eb0/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-04-15T18:42:28.676Z","expires_at":"2026-06-29T14:15:58.216989Z","created_at":"2026-04-16T20:04:21.836938Z","updated_at":"2026-05-30T14:15:58.334767Z","company_name":"Matic","company_slug":"matic-robots","company_logo_url":"https://www.google.com/s2/favicons?domain=maticrobots.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/116528a2-dbc3-441b-ad9d-a1371c150e8f"},{"id":"476a673f-88f7-4954-b107-03e72f474f4c","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Data Scientist, Safety","slug":"data-scientist-safety-2f53f1ba","description":"About the Team\n\nOpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.\n\nWe are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly.\n\nThis is a high-impact role operating at the intersection of product, safety, policy, and research.\n\n \n\nAbout the Role\n\nAs a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.\n\nDepending on your background and team alignment, you may work on areas such as:\n\n - Measure harmful or abusive behavior across OpenAI’s products\n\n - Detect fraud, manipulation, coordinated misuse\n\n - Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows\n\n - Design experiments and causal analyses to understand product, policy, and mitigation impacts\n\n - Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks\n\n - Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs\n\n - Translate ambiguous safety risks into measurable problems and evidence-based recommendations\n\n - Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes\n\n - Build zero-to-one analytical systems in rapidly evolving domains\n\n \n\nIdeal Candidate\n\nWe’re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.\n\nYou may be a fit if you have:\n\n - Strong statistical reasoning and analytical judgment\n\n - Experience with experimentation, causal inference, or observational analysis\n\n - Strong SQL and Python skills\n\n - Experience working with messy, incomplete, or noisy datasets\n\n - Ability to structure open-ended business or risk problems\n\n - Excellent communication with technical and non-technical stakeholders\n\n - High ownership and comfort operating independently\n\nHelpful backgrounds include:\n\n - Trust \u0026 Safety / Integrity\n\n - Fraud \u0026 abuse\n\n - Security analytics\n\n - AI/ML model measurement and evaluation\n\n - Alignment and AI safety research\n\n - Biosecurity, synthetic biology, infectious diseases, or computational biology\n\n \n\nWhy This Role\n\n - Work on mission-critical problems with world-level impact\n\n - Help shape how frontier AI systems are deployed safely\n\n - Operate with unusual ownership and visibility\n\n - Solve novel problems where there are no existing playbooks\n\n - Join highly collaborative teams working across OpenAI\n\n \n\nLocation\n\nSan Francisco or New York depending on team alignment and business need.\n\n\n\nCompensation Range: $230K - $325K USD\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.\n\nTo notify OpenAI that you bel","salary_min":230000,"salary_max":325000,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["alignment","rust","data-science"],"apply_url":"https://jobs.ashbyhq.com/openai/90c711dc-5f50-46e3-a5ab-82359a56d683/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T23:36:37.483Z","expires_at":"2026-06-29T14:00:58.754828Z","created_at":"2026-05-16T14:01:08.812268Z","updated_at":"2026-05-30T14:00:58.864048Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/476a673f-88f7-4954-b107-03e72f474f4c"},{"id":"dae8ea26-b430-436f-a013-35af5af012e1","company_id":"a0000000-0000-0000-0000-000000000001","title":"Incident Response Manager, Enforcement","slug":"incident-response-manager-enforcement-0d8ff4a7","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 responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As the Incident Response Manager, you'll own the operational backbone of how Safeguards responds when things need attention fast. You'll run our on-call program, drive the automation that lets a small team cover a growing surface area, and manage the sensitive cross-functional escalations that cut across Policy, Legal, Safeguards, Product, and Comms.\n This role calls for someone who has managed scaled escalations and can build durable processes that hold up in fast-moving moments. It requires discernment, close coordination with cross-functional partners during high-stakes situations, and the ability to translate learnings from incidents into improvements to our safety systems.\n Key responsibilities \n On-call program ownership \n \n \n Own the Enforcement On-Call program end-to-end: rotations, coverage models, and escalation paths\n \n Establish and maintain on-call documentation, runbooks, and SOPs so that anyone stepping into the rotation has what they need to act quickly and consistently\n \n Triage tooling issues affecting on-call operations and drive them to resolution with engineering partners\n \n Report out regularly on inbound volume, response metrics, trend lines, and staffing needs to inform long-term investment\n \n Cross-functional escalations \n \n \n Serve as the primary point of contact for sensitive enforcement escalations that require cross-functional coordination across Policy, Legal, Safeguards, Product, and Comms\n \n Absorb information from multiple inputs quickly, frame the decision cleanly, and communicate clear updates, recommendations, and trade-offs to both operational and executive audiences\n \n Drive processes that keep teams aligned and moving during fast-changing situations, including sensitive investigations, product mitigations, and coordinated responses\n \n Manage escalation pathways to law enforcement and NCMEC based on established referral criteria, and track referral volume and trends over time\n \n Automation \u0026 program maturity \n \n \n Identify the right repetitive operational work in the on-call and escalations pipeline and partner with engineering to automate it\n \n Expand and mature our rapid response toolkit through hands-on investment in new tools, playbook development, and team adoption\n \n Build dashboards and reporting that give the team and leadership a clear view of enforcement operational health\n \n Continuously improve documentation, quality, and consistency as the program scales\n \n Minimum qualifications \n \n \n Background in trust and safety operations, incident response, escalations management, program management, or a closely related operational role at a technology company\n \n Experience leading programs with meaningful cross-functional surface area, and comfort being the person others look to during an escalation\n \n Ability to absorb a lot of information quickly and communicate clearly and concisely in writing and verbally during high-stakes moments\n \n Experience coordinating with law enforcement, regulatory bodies, or other external compliance stakeholders\n \n Comfort making judgment calls with incomplete information and knowing when to escalate\n \n Ability to manage multiple concurrent workstreams without losing track of details\n \n Availability to support team on-call and weekend coverage when assigned\n \n Preferred qualifications \n \n \n Experience building or materially improving automation in an operations context (routing, triage, auto-assignment, ticket enrichment)\n \n Familiarity with regulatory reporting obligations in trust and safety (NCMEC, EU DSA, or similar frameworks)\n \n Proficiency with data tools (SQL, dashboards, spreadsheets) sufficient to build and maintain reporting workflows\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 $310,000 — $375,000 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, s","salary_min":310000,"salary_max":375000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5211184008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T23:02:48Z","expires_at":"2026-06-29T14:00:17.167826Z","created_at":"2026-05-14T14:00:29.822034Z","updated_at":"2026-05-30T14:00:17.278099Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/dae8ea26-b430-436f-a013-35af5af012e1"},{"id":"68cd0e14-0b23-4802-aef1-c416aaa7b40d","company_id":"099735cb-7b94-42a0-a625-8674b74008ad","title":"Data Scientist II - Trust \u0026 Safety","slug":"data-scientist-ii-trust-safety-7f74abcd","description":"Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust \u0026 Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R\u0026D teams to confidently expand into new products, markets, and technologies.\nPTI's research informs how Spotify designs, launches, and improves features across the platform, with a particular focus on AI-powered experiences, recommendations, social and messaging surfaces, and the safety needs of younger users. Our work helps product teams understand where risks concentrate, which user segments are most affected, and which interventions improve outcomes.\nThis role will partner with other Trust \u0026 Safety teams to ensure that product and policy decisions are grounded in rigorous evidence. The work spans pre-launch risk assessment, evaluation of AI features and agentic systems, longitudinal safety measurement, and research into how high-risk user populations experience the platform. Trust \u0026 Safety's mission is to keep Spotify safe for creators, advertisers, and listeners, and PTI's contribution is the evidence base that makes safer product decisions possible.\n","salary_min":117000,"salary_max":167000,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["agents","data-science","rust"],"apply_url":"https://jobs.lever.co/spotify/4a1eac30-5445-4b32-9df9-3d275bb60453/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T13:09:10.508Z","expires_at":"2026-06-29T14:08:54.090241Z","created_at":"2026-05-14T14:10:01.912015Z","updated_at":"2026-05-30T14:08:54.198135Z","company_name":"Spotify","company_slug":"spotify","company_logo_url":"https://www.google.com/s2/favicons?domain=www.spotify.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/68cd0e14-0b23-4802-aef1-c416aaa7b40d"},{"id":"5f3e03a7-23d1-45c6-a550-c1e0275a089a","company_id":"a0000000-0000-0000-0000-000000000003","title":"Product Manager, Trust \u0026 Safety","slug":"product-manager-trust-safety-abf95ad2","description":"Scale AI operates a global two-sided marketplace. On the demand side, AI labs and enterprises need high-quality training data. On the supply side, 500,000+ contributors across 100+ countries perform the annotation, evaluation, and data-generation work that makes frontier AI possible. For example, our contributor network includes Math PHDs from Vietnam, law professors at top colleges and investment bankers modeling efficient capital structures - all in service of training next-gen AIs. Keeping this marketplace trustworthy and free from fraud is foundational — to contributor experience, to customer data quality, and to the health of the business.\n We are looking for a senior Product Manager to lead Trust \u0026 Safety at Scale. This is a high-autonomy, high-impact role. You will own the product strategy for fraud detection, prevention, and remediation across our contributor ecosystem — building the systems that protect our platform from abuse while preserving a fair, transparent experience for legitimate contributors. T\u0026S at Scale intersects every part of the contributor lifecycle: onboarding, task assignment, quality assessment, and payments. The scope is global, the adversaries are sophisticated, and the stakes are real.\n This role requires deep domain expertise in fraud and trust \u0026 safety . You should bring a strong point of view on how to build world-class T\u0026S systems — because you will be the resident expert . You will set the vision for moving T\u0026S from a reactive, fire-fighting posture to a proactive, intelligence-driven function with scalable detection and prevention infrastructure.\n About the Role: \n \n You will be the most senior T\u0026S product leader at Scale, reporting directly to the Head of GenAI Product. You will have dedicated engineering, data science, and operations partners, and will work closely with EPD leadership and Delivery Ops.\n T\u0026S at Scale is not a mature function — it has been built reactively over time in response to specific fraud incidents. The platform needs a cohesive strategy that balances fraud mitigation with contributor growth, reduces false positives, and replaces ad-hoc solutions with scalable systems. You will inherit a patchwork of existing tools, signals and products and shape them into a coherent, defensible platform with mature processes.\n The contributor marketplace creates unique fraud vectors: account farming, task manipulation, quality gaming, payment fraud, and collusion — all evolving as AI capabilities change. You need to stay at the leading edge of adversarial behavior in AI-native marketplaces.\n This is a highly cross-functional role. You will collaborate with stakeholders across Ops, EPD, Finance, and leadership. Fires happen weekly. You need to be the person who navigates complexity and drives resolution efficiently.\n \n You will: \n \n Set the product vision and strategy for Trust \u0026 Safety at Scale, shifting the function from reactive incident response to proactive, intelligence-driven fraud prevention\n Own the product roadmap for fraud detection, prevention, and remediation systems — including the Risk Engine, data signals intelligence, anomaly detection, and contributor investigation tooling\n Build a balanced approach to fraud mitigation and growth protection — ensuring T\u0026S interventions don’t unnecessarily throttle the contributor funnel or create friction for legitimate users\n Investigate and deeply understand contributor behavior patterns to identify emerging fraud vectors before they become material\n Drive cross-functional alignment across Ops, EPD, Finance, and executive leadership — independently handling escalations, stakeholder conflicts, and weekly fire drills without requiring constant HM involvement\n Translate complex fraud patterns into clear product requirements for engineering, and partner with data science to build and improve detection models\n Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, false positive rates, contributor impact, and financial exposure\n Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources and prioritize effectively\n Partner with Finance and Delivery Ops leadership to manage the financial impact of fraud on business profitability\n \n Ideally, you’d have: \n \n 8–12 years of experience in Product Management in the tech industry, with at least 3–4 years leading Trust \u0026 Safety, Fraud, or Risk product teams\n Deep domain expertise in fraud (not security) — specifically consumer product fraud, marketplace fraud, or contributor/gig-economy fraud. FinTech/payments fraud alone is not sufficient; we need someone who understands platform-level abuse and adversarial user behavior\n Track record of building T\u0026S systems at consumer-facing marketplace companies (e.g., Uber, DoorDash, Airbnb, eBay, Instacart) or similar high-growth platforms with global contributor/user bases\n Proven ability to balance fraud mitigation with gro","salary_min":240000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["generative-ai","payments","rust"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4692308005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-05T18:26:11Z","expires_at":"2026-06-29T14:01:11.860046Z","created_at":"2026-05-06T14:01:24.664411Z","updated_at":"2026-05-30T14:01:11.968919Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/5f3e03a7-23d1-45c6-a550-c1e0275a089a"},{"id":"16275beb-94e6-4e56-bab8-88ec8a93e849","company_id":"a0000000-0000-0000-0000-000000000001","title":"Policy Design Manager, Age-Appropriate Design","slug":"policy-design-manager-age-appropriate-design-cf6f1592","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 Policy Design Manager, you will be responsible for developing usage policies, clarifying enforcement guidelines, and advising on safety interventions for our products and services. Your core focus will be on age-appropriate design and experiences, including child safety, age assurance, content classification, and adult sexual content. You will help define best practices for developers building on claude for deployment to users across different developmental stages, design age-assurance policies that protect minors from inappropriate content and interactions, and establish clear boundaries for adult content and experiences. In addition, you will advise teams on opportunities for age-appropriate helpfulness, including advising cross-functional teams on beneficial use cases for younger users where appropriate. Safety is core to our mission and you’ll help shape policy creation and development 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 Responsibilities: \n \n \n Serve as an internal subject matter expert, leveraging deep expertise in child safety, adult content, youth development, and age-appropriate design to:\n \n \n Draft new policies that help govern the responsible use of our models for emerging capabilities and use cases\n \n Design evaluation frameworks for testing model performance in areas of expertise\n \n \n Conduct regular reviews and testing of existing policies to identify and address gaps and ambiguities\n \n Review flagged content to drive enforcement and policy improvements\n \n Update our usage policies based on feedback collected from external experts, our enforcement team, and edge cases that you will review\n \n Work with safeguards product teams to identify and mitigate concerns, and collaborate on designing appropriate interventions for users across different age groups\n \n Advise on age assurance approaches and content classification frameworks in partnership with Enforcement, Product, Engineering, and Legal teams\n \n Educate and align internal stakeholders around our policies and our approach to safety in your focus area(s)\n \n Keep up to date with new and existing AI policy norms, regulatory requirements (e.g., age-appropriate design codes), and industry standards, and use these to inform our decision-making on policy areas\n \n You may be a good fit if you have experience: \n \n \n As a researcher, subject matter expert, or trust \u0026 safety professional working in one or more of the following focus areas: child safety, youth online safety, age assurance, developmental science, content classification and rating systems, or adult content policy. Note: For this role, an advanced degree in developmental psychology, child development, education, or a related field is preferred.\n \n Drafting or updating product and / or user policies, with the ability to effectively bridge technical and policy discussions\n \n Designing or implementing age-appropriate experiences, age assurance mechanisms, or content classification / labeling systems\n \n Working with generative AI products, including writing effective prompts for policy evaluations and classifier development\n \n Aligning product policy decisions between diverse sets of stakeholders, such as Product, Engineering, Public Policy, and Legal teams\n \n Understanding the challenges that exist in developing and implementing product policies at scale, including in the content moderation space\n \n Thinking creatively about the risks and benefits of new technologies, and leveraging data and research to inform policy recommendations\n \n Navigating and prioritizing work efforts amidst ambiguity\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 staf","salary_min":245000,"salary_max":285000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["alignment","generative-ai","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5156326008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-19T20:21:09Z","expires_at":"2026-06-29T14:00:19.222453Z","created_at":"2026-04-13T09:35:57.935452Z","updated_at":"2026-05-30T14:00:19.335207Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/16275beb-94e6-4e56-bab8-88ec8a93e849"}],"page":1,"per_page":20,"total":46,"total_pages":3}