Product Security Engineering

Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises.

We're hiring a Product Security Engineer to make Watcher safe to deploy at enterprises. You will own the day to day of Watcher's security posture, from product security standards to the security conversations with our customers. Security Engineering & Operations

Design, build, and operate Watcher's core security controls: identity and access management, infrastructure and cloud security, endpoint management, and incident response.
Lead major security projects end to end, from ideation through implementation and rollout.
Own security questionnaire responses, product security whitepapers, and support for customer pen-tests.
Own the technical content of customer-facing communications during incidents.
Join customer/prospect calls to understand security needs firsthand, and map them onto the AI Security & Control Researcher's threat models and failure mode library.
Maintain awareness of how enterprises currently secure coding agents (or don't), what tools they use (SIEM, DLP, CSPM), and how Watcher fits into their existing stack.
feeding that buyer signal into the AI Security & Control Researcher's failure mode prioritization.
Able to read code, understand infrastructure, and evaluate technical controls, not just write policies.

• Engineering mindset : you treat security as an engineering problem, capable of building custom solutions rather than gluing together off-the-shelf tools. You prioritize automation and systems-level thinking, and are comfortable leveraging AI to accelerate development.
• Direct experience with application security, cloud security, or product security . ideally having owned or significantly contributed to the security posture of a product handling sensitive customer data.
• Experience in a security vendor or security product company. Building security products is different from consuming them, and someone who has done both will bridge the gap between "what CISOs want" and "what we can actually build" more effectively.
• Comfortable working in a small, fast-moving team, context-switching between hands-on security work and strategic product thinking within the same week.
• Experience with incident response, specifically leading a real security incident through to resolution and customer communication.

Experience with AI/ML systems security or LLM security.

REPRESENTATIVE PROJECTS

Design a security roadmap for keeping Watcher's customer data secure: Watcher runs on top of coding agents and accesses highly sensitive information; ensure that data is stored securely and the attack surface Watcher itself introduces is as small as possible.
Stand up product security standards for the product engineering team: code review security checklists, dependency scanning, secrets management in CI/CD, and container hardening that engineers will actually use.
This role offers market competitive salary, equity, and competitive benefits.
Flexible work hours and schedule
Comprehensive health, dental and vision insurance
Retirement savings with competitive employer matching (e.g. Lunch, dinner, and snacks are provided for all employees on workdays
Relocation support and visa fees (if applicable)
Time Allocation: Full-time
Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements.
Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.

The product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively.
We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
Please complete the application form with your CV. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic.
We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at [email protected].