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Jobs(26,865)/Engineering Manager Role(462)/Apollo Research (2) - Engineering Manager (Product)
Apollo Research

Apollo Research - Engineering Manager (Product)

London & San Francisco$283k - $396k+ Equity2w ago
In OfficeStaffWWSoftwareEngineering ManagerSoftware EngineerApolloPythonTypeScriptTeam ManagementClaude

Requirements

• Strong engineering background. You worked as a software engineer for at least 4 years before managing. You still ship production code today. You will be judged partly on code you write in this role, primarily in Python and/or TypeScript. • People management experience. You have hired, onboarded and managed small teams of engineers directly (1on1s, feedback, performance,), or you have been a tech lead who de facto did this for at least 2 years. You can point to engineers who grew or shipped better because of you. • Execution ownership. You have run delivery for a multi-person engineering effort, turning goals into tickets, tracking them to completion, and being accountable for the outcome. • High agency. You see what the team needs and do it without being asked, whether that's fixing a process, having a hard conversation, or shipping the fix yourself. • Direct communication. You give and take blunt feedback, address problems with people early and kindly, and say clearly when something is off track, including to the CEO. • Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. • Comfortable leveraging AI heavily for management, coordination, and coding work, while holding the output to a high standard. You have used Claude Code, Codex, Cursor, or similar tools heavily. • Strong nice-to-haves • Experience coordinating between research and engineering, or shipping products with an ML/research component. • Customer-facing delivery experience, e.g. enterprise integrations, deployment projects, or technical account work. • Formal AI safety background. We need excellent engineering leaders who can learn the AI safety context. • Large-team management experience. This is a small, senior team. Managing 30 people at a big company is neither necessary nor necessarily good preparation. • Certifications (PMP, scrum, etc.). We care about demonstrated ability, not credentials. If your instinct is the heavyweight process, this is the wrong team.

Responsibilities

• Execution and delivery management (~40%) • Own the team's planning and tracking. Turn goals and customer commitments into concrete, well-scoped tickets with clear owners. Everyone on the team should always know what they're supposed to be doing and whether we're on track. • Run the operating rhythm (planning, standups or async equivalents, retros). • Track dependencies between product engineering, monitoring research, and infrastructure/security work, and proactively resolve conflicts. • Translate between researchers and product engineers. Turn research outputs (new monitors, backtesting results) into scoped, prioritized engineering work. • Track customer commitments (integration timelines, requested features, incident follow-ups) and coordinate releases, testing, documentation, and customer communication. • Surface risks and slippage early, and proactively give Marius (CEO) an accurate, always-current picture of status. • People management (~30%) • Directly manage the product engineers. Run regular 1on1s, give direct and actionable feedback, and own their growth, performance, and wellbeing. • Own performance management end to end. Set clear expectations, recognize strong work, and address underperformance early and honestly. • Drive hiring for the team. Own the pipeline together with ops, run interview loops, close candidates, and onboard new engineers so they ship in their first weeks. • Protect the team's focus. Shield engineers from thrash, keep meetings minimal, and make sure priorities are stable enough to execute against. • Hands-on engineering (~30%) • Ship code yourself. Features, bug fixes, internal tooling, and prototypes, primarily in Python and TypeScript. Staying hands-on keeps your technical judgment current and your tickets realistic. • Set the technical bar, make architecture decisions, review code and establish norms, and release and incident processes. • Build tooling that makes the team faster, including AI-assisted tooling for your own job (status reporting, ticket triage, ramp-up docs). We expect you to leverage AI heavily when reasonable across both management and engineering work. • REPRESENTATIVE PROJECTS • Deliver a major customer integration. Scope a large enterprise deployment with the team, turn it into tickets, sequence it against other priorities, track progress against the customer's timeline, and ship code on the critical path yourself where needed. • Scale the team. Scope the hiring needs for the next 2-3 product engineers, drive the process end to end, while keeping the existing team shipping. Ensure hiring is done to a high standard and is fast. • Bridge a research handoff. Take a new monitoring capability from the research team, work with researchers and engineers to turn it into a scoped production plan, and manage its delivery into Watcher including rollout, documentation, and customer-facing changes

Benefits

• This role offers market competitive salary, equity, and competitive benefits. • Salary: San Francisco: $283,000 - $396,000; London: £190,000 - £266,000. We will be looking to meaningfully raise salaries soon. • Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. • 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) • 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.

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