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Félix

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-timeMiami • Florida • United StatesMid-LevelSenior💰 $164,000 - $182,000 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 in regulated environments.

Highest-signal resume keywords
Complex Technical Program LeadershipPython ProgrammingLLM SDK PrototypingData Modeling and IntegrationRisk Assessment and Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLAPIsGitTestingData ModelingMulti-Step OrchestrationLLM SDKRAG ExperienceVector Database Experience
Soft Skills
Influencing Without AuthorityMentoringEscalation Management
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 by challenging assumptions, making trade-offs explicit, and recording outcomes
  • Manage execution and risk by tracking commitments, removing blockers, and escalating early with a recommendation
  • 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
  • Work across Engineering, Product, Data, FDE, AI Enterprise, and platform teams
  • 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 your own 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 bring examples of solution designs, evaluation decisions, or delivery outcomes; confidential work can be discussed without sharing proprietary material
  • Applied LLM work used by real users
  • RAG and vector database experience
  • Experience deploying into environments owned by other teams
  • Experience in a regulated or data-sensitive setting such as fintech
  • Experience with CX, support, or compliance metrics such as AHT, FCR, CSAT, and SLA

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