Applied AI Engineer - Manager
New York City$250k - $425kFull-timePosted 1mo ago
About the role
Hiring a player-coach Engineering Manager to grow a small team of Applied AI Engineers embedded with customer engagements, owning their trajectory and delivering production AI systems in enterprise environments.
Responsibilities
- Grow engineers, deliberately. Have a real point of view on where each person is today and where they could be in 6 to 12 months, then aim their work at the overlap between what they're interested in, what they need to build, and what the business actually needs.
- Ramp people properly. Learn about direct reports, pair heavily in early weeks, co-attend customer meetings, and help them grow in ambiguity-filled, high-growth tech environments.
- Give feedback in the moment. Bi-weekly 1:1s, immediate, specific feedback and sequencing of improvements.
- Own the technical outcome. Maintain context across all workstreams, delegate effectively but not abdicate.
- Make the hard technical calls. Be final decision-maker on high-cost-to-reverse decisions, document the why.
- Set the bar. Define standards for code quality, testing, review, and documentation.
- Be credible with customers. Own the technical relationship and deliverables during deployments and in conversations with stakeholders.
- Feed the field back into the product. Surface patterns from customer work to inform Mosaic and future deployments.
- Hire. Participate in interviewing and shaping future team members.
Qualifications
- 7+ years building production software, with at least 2 leading or managing engineers
- You still write code and want to keep writing code; proficient in Python and TypeScript
- Track record of improving engineers under management; specific examples preferred
- Systems taste; ability to explain design trade-offs and constraints
- Comfort operating in ambiguity and ability to navigate unfamiliar systems
- Real product empathy understanding user workflows and adoption costs
- Fluency with LLMs as an engineering surface (agents, tools, context, evals, AI dev tooling)
- Direct communication with candor and kindness; strong non-technical stakeholder communication
Skills
Required:Team leadership and mentorshipPythonTypeScript
Benefits
- Competitive compensation with equity
- 401(k) matching
- Comprehensive health and family benefits
- Lunch every day
- Autonomy and trust-oriented culture
Last updated Oct 7, 2026. Interested? Apply on the company site.
About Percepta
Harness the Frontier.
Percepta is a General Catalyst transformation company helping critical institutions actualize AI transformation.
AITransformationEnterprisesCritical Industries
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