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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading complex technical programs and software delivery, with a strong focus on translating AI priorities into actionable plans and coordinating cross-functional teams. Proficient in evaluating risks and measuring outcomes to ensure successful project execution.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyAPI IntegrationLLM SDK ExperienceData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technical Program ManagementSoftware DeliveryRisk ManagementEvaluation MetricsHypothesis Testing
Soft Skills
Influencing Without AuthorityMentoringCross-Functional Collaboration
Tools & Technologies
GitOpenAI SDKGoogle SDK
Industry Keywords
AI GovernanceEnterprise Integration PatternsData PipelinesQuality AssessmentLatency Evaluation
Tech Stack
Tools & technologiesPythonSQL
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
- 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, 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
Benefits
Comp & perks- Competitive salary
- Initial stock options grant
- Annual performance bonus
- Unlimited PTO
- Paid parental leave
- Hybrid work setup
- Health, dental, and vision plans
- Continuous learning opportunities
- Empowering opportunities for growth in a dynamic entrepreneurial environment