Technical Engineering Manager

Posted 6 Hours Ago
2 Locations
Remote
230K-300K Annually
Senior level
Artificial Intelligence • Software • Cybersecurity
The Role
Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.
Summary Generated by Built In

About Origin

Origin is building the endpoint AI observability platform for AI-adopting organizations. We believe that organizations should not adopt AI on their endpoints without observability in place, and we want to be the platform that maximizes the productivity & safety of that adoption.

The company exists to maximize the diffusion of intelligence inside an organization, maximize the productivity of agentic systems and the humans driving them, keep agent actions traceable end-to-end so that when a user asks for something in a prompt they can verify the agent actually did what was expected, and give organizations one interface to answer the hardest questions they have about how work gets done.

Our platform monitors and protects some of the most important organizations in the world. We are backed by Sequoia Capital, Brightmind Ventures, IA Ventures and other top VC firms.

Role

Origin is hiring a Technical Engineering Manager to manage the team responsible for our endpoint agent, data and inference services, cloud infrastructure, and customer-facing product. Reporting to the Engineering Lead, you will translate established priorities and technical direction into clear execution plans and keep the team tasked and aligned. You’ll stay close to the work through design reviews, code reviews, production debugging, and hands-on contributions when needed.

The ideal candidate has led high performing teams as a technical or team lead and has managed and developed engineers directly. You bring sound judgment across people, projects, and systems, along with real experience directing agentic coding tools. You’re comfortable working with high agency in a fast-moving, AI-native environment.

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 and Experience

  • 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.

Nice to Haves

  • 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

Working at Origin

Origin is a fully remote team across the US & Canada, built on trust, autonomy, and excellence. We empower our team to take ownership, move with purpose, and continuously improve. Our culture values top performers who align with our mission and embrace high standards. We offer generous healthcare, flexible PTO, and home-office support, ensuring our team has the freedom and resources to thrive. While we move fast, we prioritize quality, collaboration, and remain committed to building impactful security solutions with precision.

Skills Required

  • 5+ years in engineering leadership
  • Direct people management experience
  • Experience as a technical or team lead
  • Experience building or leading teams working on data-intensive, high-throughput distributed systems
  • Strong technical, organizational, and decision-making judgment
  • Clear communication and ability to explain technical trade-offs
  • Experience using agentic coding tools such as Claude Code, Codex, or OpenCode
  • High agency and comfort in an early-stage or fast-scaling environment
  • Startup experience
  • Background in observability or real-time monitoring infrastructure
  • Background in AI infrastructure, including inference pipelines, embeddings, or agent orchestration
  • Experience as a first Engineering Manager or early Engineering Lead at a startup
  • Rust fluency
  • Python fluency
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The Company
30 Employees
Year Founded: 2020

What We Do

Origin is building an endpoint AI observability platform for organizations adopting AI. It inventories, observes, and measures AI-agent usage at scale, helping organizations visualize what agents exist, how they are used, and what actions they take across endpoints. The platform provides operational intelligence, supports traceability, and helps teams maximize AI productivity while deploying agentic systems safely and protecting enterprise environments.

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