Engineering Manager (Product) (Python/TypeScript): Leading a product engineering team building and securing Watcher, a coding agent security product, with an accent on delivery execution, people management, and hands-on engineering. Focus on coordinating research-to-production handoffs, shipping enterprise integrations, scaling the team, and building AI-assisted tooling.
Location: In-person role based in the London or San Francisco office; some work-from-home arrangements are available. Visa sponsorship is available in both the UK and US.
Salary: San Francisco $283,000–$396,000; London £190,000–£266,000 per year.
Company
hirify.global studies AI safety risks, including scheming, control, and monitoring, and builds Watcher, a coding agent security product.
What you will do
Lead planning, execution tracking, delivery coordination, release management, and customer commitments for the product engineering team.
Directly manage product engineers through regular one-on-ones, feedback, performance management, growth support, and hiring.
Continue shipping production code, primarily in Python and TypeScript, including features, bug fixes, tooling, and prototypes.
Set technical standards, make architecture decisions, review code, and establish release and incident processes.
Translate monitoring research outputs into scoped engineering work and coordinate delivery with research, infrastructure, and security teams.
Scale the team while protecting focus, maintaining clear priorities, and delivering enterprise integrations.
Requirements
At least four years of software engineering experience before moving into management, with the ability to ship production code today.
At least two years of direct engineering people management or equivalent technical leadership experience, including hiring, onboarding, feedback, and performance management.
Experience owning delivery for multi-person engineering efforts, from translating goals into tickets through completion.
Strong direct communication, high agency, comfort with ambiguity, and readiness for a fast-moving startup environment.
Heavy practical use of AI coding and productivity tools such as Claude Code, Codex, or Cursor.
Ability to work in person from the London or San Francisco office; visa sponsorship may be available.
Nice to have
Experience coordinating research and engineering or shipping products with an ML or research component.
Customer-facing delivery experience with enterprise integrations, deployments, or technical account work.
Culture & Benefits
Flexible working hours and schedule with some work-from-home arrangements.
Unlimited vacation and sick leave, plus up to six months of paid parental leave.
Comprehensive health, dental, and vision insurance, with retirement savings and employer matching.
Unlimited token budget for engineering work and a $1,000 annual professional development budget.
Paid staff retreats, business trips, and relevant conferences, with relocation support and visa fees where applicable.
Hiring process
Screening interview, approximately three-hour take-home test, three technical interviews, and a final interview with the CEO.
No general LeetCode-style coding interviews; AI tools may be used during the take-home assignment.
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