Senior Engineering Manager, Applied AI

Posted Yesterday
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New York, NY, USA
Hybrid
300K-300K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Automation
Headstart partners with digitally native businesses to ship AI-production system that work.
The Role
Leads and develops engineering teams while remaining hands-on with applied AI architecture, agents, prompts, evaluations, and production systems. Owns technical decisions, staffing, hiring, client engagement delivery, and converting lessons across projects into repeatable practices and platform capabilities. Requires strong software engineering depth, Python expertise, client-facing delivery experience, and familiarity with agentic and multi-agent systems.
Summary Generated by Built In
About the company

Headstart is built for people who want to think like founders. We work inside real enterprises ($100M+ ARR), shipping production AI systems that change how they operate. Every engagement is a different industry, problem, and set of constraints. We're bootstrapped, cash-flow positive, and growing fast, and we're building our own platform to deliver truly agentic systems.

Why join us

Enterprise clients bring us messy, high-stakes problems, often with no clear picture of what the AI system should be. Our engineers work out what to build, build it, and run it in production. Most of the time, they're the experts in the room.

This role is part player, part coach, part staffing lead, part hiring engine. You'll start on a client engagement to learn the work and where engineers get stuck. Then you'll build and lead a team and help shape the company as we grow.

What you'll own
  • Your team. Hold a high bar and grow each engineer through direct, actionable feedback. Develop senior engineers into tech leads. Give clear priorities and expectations without adding process before we understand the problem.

  • Technical leadership. Review architecture, agent, prompt, and eval design. Step into the hardest technical and client situations, like production regressions and unclear requirements, and make the call. Raise trouble early, while it's cheap to fix.

  • Closing the loop. Spot patterns across engagements and turn them into standing practice, reference implementations, and platform capabilities. Check that the next engagement is faster because of it.

  • Staffing. Shape who works on which engagement, plan transitions ahead, and flag risks before they reach a client.

  • Hiring. Run hiring for your team, from sourcing to onboarding. You define the bar.

  • Partnerships. Work closely with product, client partners, and client stakeholders so each engagement lands.

Your background
  • 4+ years managing engineers, including senior and staff, with real experience hiring and developing them.

  • 8+ years in software engineering, deep enough to review designs and challenge the team's approach. Hands-on with Python.

  • Experience delivering software in real client environments and taking something from zero to one, whether a team, a practice, or a hiring process.

  • Curious about agents, evals, and multi-agent systems, with a sense of where they're reliable and where a person needs to take the wheel. Fluent with AI coding tools. Depth matters more than prior title.

Bonus: Management experience in a consulting, services, or forward deployed engineering organization.

How we work

High trust, high agency, low ego. We push back when something isn't right and share what we learn, so good instincts spread fast.

  • We are our first client. We built Friday, our coding agent, and Statum, our knowledge infrastructure, and we run them on ourselves.

  • AI-first, human-accountable. Agents write nearly all our client code. Every output is reviewed, and the person is accountable.

  • Partners, not a vendor. You're in the room when hard calls get made, and you're expected to have a point of view.

  • Breadth that compounds. You'll see more industries and problems in a year than most people see in a career.

  • Weekends are yours. Pay is transparent, and we don't confuse long hours with good work.

What to expect
  1. Initial screen (30 min): with our recruiting partner.

  2. Technical screen (30 min): a short, real-world coding exercise with an engineer.

  3. Hiring manager interview (45 min): behavioral and past work.

  4. Technical interviews (2.5 hrs, two sessions): coding and systems design. Use AI tools in the coding interview, since it reflects how we work.

  5. Case study (75 min): a live, scenario-based discussion covering staffing, feedback, technical review, and closing the loop. No prep needed.

What we offer
  • Base salary of $300,000 USD, plus competitive equity

  • 401k with 4.5% employer match, and fully covered medical, dental, and vision premiums

  • Monthly wellness stipend, Citi Bike, and pre-tax commuter benefits

  • 12 weeks parental leave, with an optional 4-week ramp-up at 50%

  • Loft office in Soho with lunch and snacks

  • Hybrid in NYC, and fully remote in the rest of the US and Canada.

Skills Required

  • 4+ years managing engineers, including senior and staff-level engineers
  • Experience hiring and developing engineers
  • 8+ years of software engineering experience
  • Hands-on experience with Python
  • Experience delivering software in real client environments
  • Experience taking a team, practice, or hiring process from zero to one
  • Curiosity about AI agents, evaluations, and multi-agent systems
  • Fluency with AI coding tools
  • Management experience in consulting, services, or forward-deployed engineering
Am I A Good Fit?
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The Company
HQ: New York, New York
22 Employees
Year Founded: 2022

What We Do

Often, AI work is either research, internal workflows, or slide decks for clients. We're none of those. We're inside different businesses, working with different industries, constraints, and problems, building systems that are actually used in production. That variety is rare. Most engineers spend years in one domain. Our employees develop a kind of range that's hard to get anywhere else. We built our own agent, Friday, which means we're not just implementing other people's tools, we're pushing on what's actually possible and eating our own cooking. We're bootstrapped and cash-flow positive, which means no outside pressure. We are deliberate about culture; pay is transparent, weekends are yours, and we don't confuse long hours with good work. The people who thrive here are the ones who think like founders, who want to understand how businesses actually work, not just how the code works. If that's interesting to you, you'll grow faster here than almost anywhere else.

Why Work With Us

Every engagement at Headstart is a different industry, a different problem set, a different business to understand deeply. We build and deploy AI systems, including our own coding agent, Friday, for companies that need it done right, not just done fast. Fully-bootstrapped and cash-flow positive, so we control our destiny.

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