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-timeSan Francisco • California • 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 measuring outcomes.

Highest-signal resume keywords

Technical Program LeadershipPython ProgrammingSQL ProficiencyLLM SDK ExperienceCross-Functional Coordination

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLAPIsAuthenticationGitTestingData ModelingPipelinesMulti-Step OrchestrationEvaluation Metrics

Soft Skills

Influencing Without AuthorityMentoringJudgmentDecision-MakingCommunication

Tools & Technologies

OpenAI SDKGoogle SDKRAGVector Database

Industry Keywords

FintechData-Sensitive SettingCX MetricsSupport MetricsCompliance Metrics

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

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 and validate assumptions through experiments
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
Applied LLM work used by real users (nice to have)
RAG and vector database experience (nice to have)
Experience deploying into environments owned by other teams (nice to have)
Experience in a regulated or data-sensitive setting such as fintech (nice to have)
Experience with CX, support, or compliance metrics such as AHT, FCR, CSAT, and SLA (nice to have)

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