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About the Role

We are building Watcher, a coding agent security product that monitors billions of agent tokens per month. This role involves building and scaling Watcher end-to-end, owning features across the full stack from agent hooks and ingestion pipelines to monitoring dashboards and enterprise integrations. You will own features from customer conversation to production deployment in a fast-paced startup environment with significant opportunity for growth.

Responsibilities

Ship product end to end (~45%)
Design, build, and ship Watcher features across the stack: agent-side hooks and CLI tooling, ingestion and grading pipelines, real-time monitoring UI (Watcher Live), and the organization-wide Analyzer dashboard.
Own features end to end, from ambiguous requirements to production: talk to users, scope the work, make the technical decisions, put that into production, and iterate based on usage.
Build Watcher integrations with other coding agents, LLM gateways, and monitoring applications.
Build the policy and configuration layer for security teams to set org-wide guardrails.
Productionize research by turning monitoring research into production-ready product features.
Design and operate backend systems that process large volumes of agent logs in real time.
Own reliability: robust error handling, graceful degradation, and observability (logging, metrics, tracing, alerting).
Architect data models and storage for high-throughput writes and complex analytical queries.
Ensure Watcher is safe to deploy by working on tenant isolation, encryption, and access controls.
Build and maintain integrations with the enterprise security stack, e.g. streaming monitoring alerts into SIEM systems.
Support flexible deployment models: cloud-hosted, on-prem, and local backends.
Talk to customers, debug issues in their environments, and feed learnings back into the roadmap.

Requirements

4+ years building production software.
Full-stack capability: strong on the backend (APIs, data pipelines, databases, cloud infrastructure) and productive on the frontend (modern web UI).
High agency and ownership: willing to own big chunks of the product, make decisions fast with incomplete information, and be accountable for the outcome.
High output volume.
Excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters.
Product sense: ability to talk to users, translate vague requirements into concrete designs, and make good calls about what to build and what to cut.
Previous work on developer tools, monitoring/observability systems, or security products is a plus.
Real-time or large-scale data processing experience is a plus.
Enterprise or on-prem deployment experience is a plus.
Experience building LLM-powered applications is a plus.
Early-stage startup experience is a plus.

Skills

Python
TypeScript
Backend development
Frontend development
API development
Data pipelines
Databases
Cloud infrastructure
Modern web UI development
Real-time data processing
Large-scale data processing
Streaming pipelines
Message queues
High-throughput log systems
LLM-powered application development
AI safety context

Location

London
San Francisco

Work Type

Full-time
In-person
Flexible working hours
Some work from home arrangements

Experience Level

4+ years building production software

Salary/Compensations

San Francisco: $222,000 – $290,000
London: £149,000 – £195,000

Benefits

Market competitive salary
Equity
Competitive benefits
Unlimited token budget for compute
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 provided 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)
Visa sponsorship in the UK and US

About the Company

Apollo Research is focused on the risks from AI Loss of Control, particularly deceptive alignment/scheming. They work on the science of scheming, detection, and mitigation, and conduct control and monitoring research. They collaborate with frontier AI companies to test models and advance the science of scheming. Their culture emphasizes truth-seeking, goal-orientation, constructive feedback, and helpfulness.
They also build Watcher, a coding agent security product, to secure agent deployments, learn about real-world risks, and publish research on control systems.

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.