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About the Role

In this role, you will design, implement, and deploy the security controls that keep Apollo secure, and make the secure path the default path for everyone. You will build the security layer for a novel insider risk that didn't exist before.

Responsibilities

• Design, build, and operate Apollo's core security controls: identity and access management, infrastructure and cloud security, endpoint management, and incident response.
• Build paved roads that make the secure path the default, easy path.
• Establish and advocate for security practices across Apollo, and build the organizational trust needed for people to adopt them, communicating security decisions and tradeoffs clearly along the way.
• Evaluate vendors and tooling, make build-vs-buy calls on security infrastructure, and assess vendor security posture before adoption.
• Lead major security projects end to end, from ideation through implementation and rollout.
• Collaboratively define and shape the security roadmap and priorities.

Requirements

• 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance).
• Ability to think structurally about threat modeling and failure modes.
• Ability to read code, understand infrastructure, and evaluate technical controls.
• Engineering mindset; treat security as an engineering problem.
• Capable of, and willing to, build custom solutions when the task demands it.
• Prioritize automation and systems-level thinking to scale security.
• Comfortable leveraging AI to accelerate development.
• Direct experience with application security, cloud security, or product security.
• Experience owning or significantly contributing to the security posture of an organization that handles sensitive customer data.
• Influence without authority; track record of building buy-in for security practices and being trusted by non-security people.
• Excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters.

Skills

• Software engineering experience
• Implementing zero-trust architectures
• Sandboxing
• Detection engineering
• GRC engineering
• Incident response
• Endpoint management (Kandji, Jamf, or similar)
• Identity/access management

Location

• London
• San Francisco

Work Type

• In-person
• Flexible working hours
• Some WFH arrangements

Experience Level

• 5+ years in security roles

Salary/Compensations

• San Francisco: $214,000 – $280,000
• London: £144,000 – £188,000

Benefits

• Market competitive salary
• Equity
• Competitive benefits
• Unlimited token budget
• Flexible work hours and schedule
• Unlimited vacation
• Unlimited sick leave
• Up to 6 months of paid parental leave
• Comprehensive health, dental and vision insurance
• Retirement savings with competitive employer matching (e.g. 401(k) for US employees)
• Lunch, dinner, and snacks are provided for all employees on workdays
• Paid work trips, including staff retreats, business trips, and relevant conferences
• A yearly $1,000 (USD) professional development budget
• Relocation support and visa fees (if applicable)

About the Company

• 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.
• Security exists at Apollo to safeguard the trust our lab partners place in us and to enable that research.
• Our own team runs around 400 billion tokens a month through AI agents, which makes Apollo both a target and a testbed.
• 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're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.
• We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming).
• We also work on control and monitoring research (see our scalable monitoring agenda).
• 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.
• At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful.
• 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.

Equal Opportunity

• Apollo Research is an Equal Opportunity Employer.
• 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.