AI Technical Program Manager

Félix

. Translate AI priorities into technical plans with scope, requirements, milestones, success metrics, acceptance criteria, and named owners .

Posted 11/5/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $193,000 - $213,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading complex technical programs, translating AI priorities into actionable plans, and coordinating cross-functional teams. Proficient in Python, SQL, and LLM SDKs, with a strong focus on evaluating risks and ensuring deployment readiness.

Highest-signal resume keywords

Complex Technical Program LeadershipPython ProgrammingSQL ProficiencyLLM SDK IntegrationCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLAPIsData ModelingTestingMulti-Step OrchestrationStructured OutputsHuman ReviewFallbacksEvaluations

Soft Skills

Influencing Without AuthorityMentoringJudgmentDecision-MakingCollaboration

Tools & Technologies

GitOpenAI SDKGoogle SDK

Industry Keywords

AI GovernanceEnterprise Integration PatternsDeployment ReadinessQuality AssessmentRisk Management

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Translate AI priorities into technical plans with scope, requirements, milestones, success metrics, acceptance criteria, and named owners
Turn incomplete briefs into testable hypotheses, baselines, and measurable outcomes
Coordinate technical dependencies across Engineering, Product, Data, FDE, AI Enterprise, and platform teams
Drive technical decisions with engineers, challenge assumptions, make trade-offs explicit, and record outcomes
Manage execution and risk by tracking commitments, removing blockers, and escalating early with recommendations
Coordinate evaluations and deployment readiness, including quality, latency, cost, and permissions risks
Verify that FDE integrations work in the receiving team’s environment
Secure named owners for support, monitoring, and maintenance
Measure whether each solution solved the intended problem
Work with AISec and the AI Governance Committee so reviews happen early
Turn project lessons into reusable briefs, checklists, decision records, and handoff standards
Report to the Head of AI Enablement & Talent Development
Collaborate across Engineering, Product, Data, FDE, AI Enterprise, and platform teams

Requirements

What you’ll need

Proven experience leading complex technical programs or software delivery across several teams, with specific examples of personal judgment, design contributions, decisions, and results
Practical skills in Python, SQL, APIs, authentication, Git, and testing
Comfortable using at least one LLM SDK, such as OpenAI or Google, to prototype integrations and debug issues
Understanding of data modeling, pipelines, and enterprise integration patterns
Experience with tool calling, multi-step orchestration, state, structured outputs, human review, and fallbacks
Ability to assess quality, latency, cost, and permissions risks, and define useful evaluations
Ability to establish baselines, validate assumptions through experiments, and balance sophistication with operational constraints
Track record of translating between business and engineering teams, influencing without formal authority, mentoring others, and escalating decisions early
Ability to provide examples of solution designs, evaluation decisions, or delivery outcomes without sharing proprietary material

Benefits

Comp & perks

Competitive salary
Initial stock options grant
Annual performance bonus
Unlimited PTO
Paid parental leave
Hybrid work setup
401(k) with employer matching, for US-based employees
Health, dental, and vision plans
Continuous learning opportunities
Empowering opportunities for growth in a dynamic entrepreneurial environment