Note: The job is a remote job and is open to candidates in USA. Origin is building an endpoint AI observability platform for AI-adopting organizations. They are seeking a Technical Engineering Manager to lead a team responsible for endpoint agents, data and inference services, and cloud infrastructure, ensuring effective execution and alignment with engineering priorities.
Responsibilities
- Lead technical execution across the endpoint agent, backend services, inference pipelines, infrastructure, and frontend under the direction set by Engineering leaders
- Translate the priorities and technical direction set by Engineering leaders into clear plans, milestones, and owners
- Turn architecture and design decisions into implementation plans, break complex work into manageable pieces, and help the team make strong day-to-day technical decisions
- Manage, mentor, and develop engineers through clear expectations, regular feedback, coaching, performance management, and career development
- Run a simple, effective cadence for planning, prioritization, progress reviews, and retrospectives
- Hold the team accountable for commitments, quality, and follow-through. Identify delivery or performance issues early and address them directly
- Manage capacity, sequencing, and dependencies. Remove blockers and escalate scope, resourcing, or technical trade-offs when needed
- Take part in hiring and own the successful onboarding of new engineers
Skills
- 5+ years in engineering leadership, including direct people management and experience as a technical or team lead, ideally at a startup
- Strong judgment about when to make a decision, when to raise a trade-off, and when to escalate to Engineering leaders
- A track record building or leading teams that work on data-intensive, high-throughput distributed systems
- Clear communicator who can give direct feedback, align a team, and explain technical trade-offs without overcomplicating them
- Real experience using agentic coding tools, like Claude Code, Codex, or OpenCode, with the judgment to validate their output, redirect them, and know when to take over
- High agency and comfort in an early-stage or fast-scaling environment where priorities shift
- Background in observability or real-time monitoring infrastructure, such as Palantir, Datadog, Honeycomb, or Chronosphere
- Background in AI infrastructure, particularly inference pipelines, embeddings, or agent orchestration
- Experience as the first Engineering Manager, or an early Engineering Lead at a startup
- Rust and Python fluency
Benefits
- Offers Equity
- Fully remote team across the US & Canada
- Generous healthcare
- Flexible PTO
- Home-office support
Company Overview