In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.

Responsibilities:

• Design APIs tailored to internal workflows touching all parts of the stack. Support the rest of the team in making data model decisions.
• Construct and integrate tools that enable internal teams to conduct safety, abuse, and risk investigations efficiently, with strong support for appropriate access controls, auditability, and operational rigor.
• Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.
• Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems.

You might thrive in this role if you:

• Are passionate about building high-quality internal tools and care deeply about the people who use them.
• Have at least 3 years of professional software engineering experience.
• Collaborate well across functions, especially with partners outside engineering.
• Bring humility, strong judgment, and a team-first mindset.
• Learn quickly, communicate clearly, and are comfortable operating in ambiguous, fast-moving environments.

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This isn't a pure research role and it isn't a pure backend role. You sit at the intersection: you understand how the systems work deeply enough to improve them, and you care about how they feel to use obsessively enough to make them great. At a 26-person company, the gap between research and shipped product is exactly one person. You're that person.

Salary Range: $180,000–$290,000/year (Range shown is for U.S.-based employees. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)

Equity Range: Up to 0.15%

Job Type: Full-Time

Experience: 3+ years in applied RL, ML engineering, or model training , with production systems

Visa: US Citizenship/Visa required for SF; N/A for Remote

You'll be responsible for how Firecrawl's search endpoint feels to integrate, use, and build on. That means response format, latency, error handling, pagination, filtering , every surface a developer touches. You're the person who notices when something is confusing before a user files a GitHub issue about it.

You'll dogfood relentlessly. You build things with the API before you ship them. You feel the friction before your users do. You read every GitHub issue, every Discord thread, every support ticket that touches search , not because someone asked you to, but because that's where the product signal lives.

You'll translate research into product decisions. You work closely with the Search/IR and RL Research Engineers. You understand their work well enough to make good product calls about what to prioritize, what to expose to users, and what to keep under the hood. You ask good questions. You push back when something technically elegant would make the API worse.

You'll run fast product experiments. You form a hypothesis about what would make search better for developers, instrument it, ship it, measure it, and decide quickly. You're comfortable making calls with imperfect data because waiting for perfect data means shipping nothing.

You'll raise the bar on developer experience. Firecrawl's users are technical. They have high standards. They notice when response formats are inconsistent, when error messages are unhelpful, when documentation doesn't match behavior. You notice too , and you fix it before they have to ask.

What We're Looking For:

• Obsessive about developer experience. You think about DX the way a designer thinks about pixels. Latency, response structure, error messages, API ergonomics , these things matter to you on a visceral level. You've built APIs that developers loved and you know the difference between an API that works and one that delights.

• Speaks both product and engineering fluently. You can read a ranking algorithm and understand its implications for the search experience. You can write the API spec and implement it yourself. You don't need a PM to tell you what matters or an ML engineer to explain why a retrieval change is significant. You connect those dots on your own.

• Hands-on builder who ships. You write code. You own features from design to deployment. You're comfortable with ambiguity and you don't need a perfectly scoped ticket to make progress. You ship something, learn from it, and iterate.

• Has a feel for search as a product. You've thought seriously about what makes search good , not just fast or accurate, but genuinely useful. You understand the difference between recall and precision and why developers care about both. You have intuitions about query understanding, result ranking, and when semantic search beats keyword search , and you've built products that put those intuitions to work.

• Brings production instincts. You've operated systems under real load. You know what breaks first, how to instrument what matters, and how to make good latency/quality tradeoffs. You're not just building features , you're building infrastructure developers depend on.

What We're NOT Looking For:

• Great engineers who don't care about DX. If you build technically excellent systems but think API ergonomics and documentation are someone else's problem, this isn't the role. The product experience is part of the job , not an afterthought.

• People who need a PM. There's no product manager between you and the work. You define what good looks like, you decide what to prioritize, and you own the outcome. If that's uncomfortable, you'll struggle here.

• Specialists who only work on one layer. If you're only interested in backend systems and tune out when the conversation shifts to how something is exposed to developers , or vice versa , this won't be a fit. This role requires you to hold both.

• Slow shippers. The research team will produce improvements faster than a slow product cycle can absorb them. We need someone who can take something from 'this ranking model is better' to 'this is live in the API with docs and an example' in days, not sprints.

• People who don't use the product. If you're not the kind of engineer who builds side projects with APIs like ours, reads the docs critically, and notices when something feels off , you'll miss the signal that makes this role work.

A Note On Pace:

We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings , but this role probably isn't for you.

Benefits & Perks:

• Salary that makes sense , $180,000–$290,000/year, based on impact, not tenure

• Own a piece , Up to 0.15% equity in what you're helping build

• Generous PTO , 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge

• Parental leave , 12 weeks fully paid, for moms and dads

• Wellness stipend , $100/month for the gym, therapy, massages, or whatever keeps you human

• Leave

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Your primary responsibility will be to define and drive the vision, strategy, and roadmap for the Agent Platform. You will work closely with internal engineering teams to understand their needs and improve how they build and scale agent-based experiences.

Key responsibilities include:

• Defining and driving the vision, strategy, and roadmap for the Agent Platform
• Building a unified platform that supports features like AI DJ, Search, Prompted Playlists, and partner integrations
• Working closely with internal engineering teams to understand their needs and improve how they build and scale agent-based experiences
• Shaping the tools, capabilities, and integrations the platform provides, balancing immediate product needs with long-term scalability
• Defining and tracking metrics that measure agent performance, including quality, reliability, latency, and cost
• Partnering with engineering, design, and product leaders to align priorities and deliver on shared goals
• Ensuring strong observability, evaluation, and monitoring capabilities are built into the platform
• Staying up to date with advances in AI and conversational systems, and applying those insights to evolve the platform

We are looking for a Product Manager with 6+ years of experience in product management, including work on platform, infrastructure, or developer-focused products. You should have experience working with AI or machine learning products, such as LLM-based systems or conversational experiences.

Experience working across teams and aligning stakeholders in complex, evolving environments is also essential. You should be comfortable engaging in technical discussions and making trade-offs between different system designs.

As a Product Manager at Spotify, you will have the opportunity to work on a wide range of projects and collaborate with a talented team of engineers, designers, and product leaders. You will be responsible for defining and delivering high-quality products that meet the needs of our users.

If you are a motivated and experienced Product Manager looking for a new challenge, we encourage you to apply for this role.

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This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems across Europe , you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Europe market strategy and government relationships.

Responsibilities:

• Lead the RFP and commercial sourcing process for European data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets
• Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
• Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
• Serve as project manager for cross-functional stakeholder engagement , coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution
• Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status
• Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure
• Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms
• Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly
• Marry the right projects, capital stacks, and developers at the right stages
• Navigate country-specific permitting, grid connection, and regulatory requirements that vary significantly across European markets
• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint across the region
• Partner with the Compute Markets Manager to prioritize markets, sites, and counterparties, and feed deal learnings back into Europe market strategy

You may be a good fit if you:

• Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
• Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
• Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
• Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
• Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
• Have experience working in or across European markets, with knowledge of the regional data center and development landscape , including established FLAP-D hubs and emerging markets like the Nordics and Southern Europe
• Are comfortable operating across multiple countries with different legal frameworks, languages, and business cultures
• Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
• Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
• Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners

It's a bonus if you:

• Have experience with data center or hyperscale infrastructure transactions specifically
• Come from the development side of the industry rather than traditional brokerage/leasing , you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees)
• Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
• Have worked with legal teams on complex lease negotiations or infrastructure agreements across multiple European jurisdictions
• Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the European context (fragmented national power markets, grid connection queues, renewable PPAs, sustainability and efficiency regulations)
• Have familiarity with data sovereignty and regulatory considerations that influence European site selection
• Have relationships within the European data center developer, operator, and broker ecosystem
• Have a background in corporate development, strategic partnerships, or infrastructure investment
• Have experience in high-growth technology companies managing infrastructure expansion

Annual compensation range for this role is £225,000-£270,000 GBP.

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As a Site Selection Program Manager, you will coordinate the end-to-end lifecycle of site selection activities, from early screening through lease execution and delivery readiness. You will maintain program trackers, dashboards, and reporting tools to monitor deal status, milestones, risks, and dependencies.

Key responsibilities include:

• Coordinating cross-functional teams and driving strategic alignment across technical and business stakeholders
• Managing workflows, tracking milestones, and driving accountability across multiple concurrent deals
• Ensuring Salesforce and internal systems reflect accurate, real-time pipeline data and deal progression
• Tracking and managing dependencies across multiple concurrent site opportunities, proactively identifying risks and escalating blockers

The ideal candidate will have 5+ years of experience in program management, project management, site selection, infrastructure development, or related fields. They will possess exceptional organizational skills, a proven capacity to manage multiple concurrent projects and competing priorities, and strong attention to detail.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 100% paid for by CoreWeave, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, and a casual work environment.

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This Research Scientist will focus on scoping, evaluating, red teaming, and defending against societal risks caused by advanced models that emerge over the next few years.

What You’ll Do:

• Design and run research experiments to understand the emerging risks models may create
• Produce internal & external artifacts (research, products, demos, dashboards, tools) that communicate the state of model capabilities
• Shape product, safeguards, and training decisions based on what you find
• Work closely with Societal Impacts (SI) and Safeguards teams

Sample Projects:

• Build, run, and study an autonomous AI-powered business (e.g. Project Vend), then identify the growth of real autonomous businesses in the wild using Clio and other tools
• Build a benchmark for a model’s national security capabilities
• Red team unsafeguarded models’ abilities to be used for control
• Identify indicators of models being used to scale movements that rely on social control

You May Be a Good Fit If You:

• Are a fast experimentalist who ships research quickly
• Have experience creating a research program from scratch
• Are thoughtful about humanity’s adaptation to powerful AI systems in our economy and society
• Can communicate thoughtfully in written + spoken form with a wide range of stakeholders
• Can scope ambiguous research questions into tractable first projects

Strong candidates may also have experience with:

• Building & maintaining large, foundational infrastructure
• Building simple interfaces that allow non-technical collaborators to evaluate AI systems
• Working with and prioritizing requests from a wide variety of stakeholders, including research and product teams

Annual Compensation Range:

$320,000-$850,000 USD

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Your role will center around designing scalable, automated test infrastructure, validating mission-critical behaviors across simulation and real aircraft environments, and enabling rapid, safe deployment of software to flight operations. You'll partner closely with engineering, product, and flight test teams to ensure the system is testable, traceable, and always ready for mission.

This role focuses on accelerating software maturity and validation through rigorous, automated, and traceable testing practices for the VBAT platform.

Responsibilities:

• Build a world-class software and system test infrastructure for rapid software deployments
• Own end-to-end system test strategy for software-in-the-loop (SIL), hardware-in-the-loop (HIL), and vehicle-in-the-loop (VIL) environments,scaling them for continuous integration and rapid release cycles
• Design and implement mission-critical system test cases validating autonomous behaviors, requirements compliance, and operational edge cases across nominal, safety-critical, and degraded conditions
• Coordinate and execute flight test and software release campaigns, working cross-functionally with autonomy, embedded systems, flight ops, and safety engineering teams

Required qualifications:

• BS or MS in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, or related field
• 8+ years of experience in software testing, systems testing, or verification & validation for complex, safety-critical or mission-critical systems (autonomy, aerospace, defense, robotics, UAVs, etc.)
• 3+ years of experience leading teams, including some experience managing other managers
• Strong proficiency in test automation, scripting, data analysis, and test infrastructure development
• Hands-on experience building and maintaining automated test frameworks (SIL, HIL, VIL, CI/CD pipelines)
• Experience validating autonomous behaviors or distributed real-time systems
• Deep understanding of software verification methodologies, including requirements traceability, test planning, and regression testing
• Experience with hardware-in-the-loop testbeds, embedded systems, or avionics integration
• Ability to design system-level test cases including edge cases, degraded modes, and safety-critical scenarios
• Strong ability to work cross-functionally with autonomy, avionics, embedded, and flight ops teams
• Excellent communication and documentation skills, especially around test plans, procedures, and safety considerations

Preferred qualifications:

• Experience testing unmanned aircraft systems (UAS), rotorcraft, or airborne mission systems
• Knowledge of DO-178C, MIL-STD-882, STANAG, or other safety/airworthiness frameworks
• Experience with simulation tools (Gazebo, Isaac, ROS/ROS2 simulation, custom autonomy sims, etc.)
• Experience with continuous integration systems (Jenkins, GitLab CI, Buildkite, etc.)
• Knowledge of autonomy algorithms (navigation, planning, perception) sufficient to design adversarial or mission-based test scenarios
• Comfort operating in dynamic R&D environments where rapid iteration and tight feedback loops are the norm

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Responsibilities:

• Own end-to-end product development for core LayerZero infrastructure and API surfaces - vision, roadmap, requirements, and execution.
• Partner closely with engineers; understand technical constraints, read code-level designs, and actively participate in architectural discussions.
• Drive alignment across teams by overcommunicating vision, use cases, and decisions - tailoring communication to technical and non-technical audiences.
• Maintain relentless clarity on user needs by continually engaging with developers, partners, and integrators; synthesize qualitative and quantitative insights.
• Break down ambiguous problems, validate assumptions, and prevent premature solutioning; ensure the team is solving the right problems.
• Advocate for design quality and usability, even for deeply technical workflows; sweat the details.
• Influence cross-functional stakeholders through trust, execution, and strong product judgment, not authority.
• Unblock engineering, drive momentum, and take ownership for outcomes end-to-end.

About You:

• You have a computer science degree or equivalent technical background.
• You have 2–5+ years of software engineering experience and can comfortably lead technical discussions.
• You have 3–6+ years of product management experience, ideally owning API, developer, or infrastructure products.
• You think like an owner; you drive work forward even without authority or perfect information.
• You communicate clearly, proactively, and repeatedly to ensure alignment. You are able to effectively tailor your communication to different types of stakeholders.
• You are comfortable in fast-moving, low-process environments and thrive in ambiguity.
• You care deeply about quality, user experience, and execution.
• Ideally, you have experience in Web3, distributed systems, or developer-focused platforms, but it’s not required.

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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.

About the Team

The Frontier Red Team (FRT) is a technical research team within Anthropic's Policy organization. Our goal is to make the entire world safer in this era of advanced AI by understanding what these systems can do and building the defenses that matter.

In 2026, we're focused on researching and ensuring safety with self-improving, highly autonomous AI systems—especially ones with cyber-physical capabilities. See our previous related work on cyberdefense, robotics, and Project Vend. This is early-stage, high-conviction research with the potential for outsized impact.

About the Role

This Research Scientist will focus on scoping, evaluating, red teaming, and defending against societal risks caused by advanced models that emerge over the next few years. Powerful AI models may have major implications for national security, running a business, power and privacy, infrastructure, social relationships, and more. They may come as a result of the increasing integration of powerful models in our economy and social sphere.

As an independent Research Scientist, you’ll build a research program to understand these Emerging Risks. You’ll build evals, run experiments, and look for real world signals to understand how these may come about. You’ll turn this into insights we can use to steer the development and use of the technology more positively. Compared to the team's other focuses, you will focus less on acute catastrophic risks and more on risks that emerge from increasing integration into our world.

What You’ll Do:

• Design and run research experiments to understand the emerging risks models may create
• Produce internal & external artifacts (research, products, demos, dashboards, tools) that communicate the state of model capabilities
• Shape product, safeguards, and training decisions based on what you find
• Work closely with Societal Impacts (SI) and Safeguards teams

Sample Projects:

• Build, run, and study an autonomous AI-powered business (e.g. Project Vend), then identify the growth of real autonomous businesses in the wild using Clio and other tools
• Build a benchmark for a model’s national security capabilities
• Red team unsafeguarded models’ abilities to be used for control
• Identify indicators of models being used to scale movements that rely on social control

You May Be a Good Fit If You:

• Are a fast experimentalist who ships research quickly
• Have experience creating a research program from scratch
• Are thoughtful about humanity’s adaptation to powerful AI systems in our economy and society
• Can communicate thoughtfully in written + spoken form with a wide range of stakeholders
• Can scope ambiguous research questions into tractable first projects

Strong candidates may also have experience with:

• Building & maintaining large, foundational infrastructure
• Building simple interfaces that allow non-technical collaborators to evaluate AI systems
• Working with and prioritizing requests from a wide variety of stakeholders, including research and product teams

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• 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.
• 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.

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Our team brings OpenAI’s most capable technology to the world through our products. We’ve released ChatGPT, o3, and Sora. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

About the Role

We are seeking an experienced Product Manager to scale the product efforts and overall technical strategy for the Integrity team. The ideal candidate has prior experience solving complex forms of scaled abuse, building sophisticated protections across multiple parts of OpenAI’s product suite (ChatGPT, API, Sora). This role requires close collaboration with our product, safety, policy, user operations and engineering teams.

This position is based in London, England. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build tooling for AI-forward investigation of malicious users

• Develop infrastructure for the incubation of detection of novel misuse of OpenAI’s services

• Lead full stack systems to prevent violations of OpenAI’s usage policies

• Use data to better understand user needs and guide future product development

• Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering.

You might thrive in this role if you:

• Have 10+ years of product management or related industry experience.

• Obtained a bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.

• Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.

• Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders

• Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.

Compensation, Benefits and Perks

This is a position with OpenAI UK Ltd., which controls the hiring and management of this position.

Total compensation includes a competitive salary, generous equity, and benefits.

• Private medical insurance covering 100% of premiums for employees and their dependents

• Pension plan with 4% employer contribution

• 52 weeks of maternity leave and 24 weeks of parental leave

• Unlimited time off

• Annual learning & development stipend ($1,500 USD equivalent per year)

About OpenAI

OpenAI 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.

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