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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Lead and grow the AI Products team: hire, coach, mentor, and raise the technical bar
- Own the technical vision for our AI and agent platform, and build the evaluation infrastructure and abstractions other LeanData teams use to ship AI features
- Drive 0-to-1: turn ambiguous go-to-market problems into production-ready AI features, partnering with product, design, and data to shape the roadmap
- Own the quality, reliability, and delivery of the team’s AI work, and drive the model and LLM upgrade pipeline, balancing quality, latency, and cost
Requirements
What you’ll need- 4+ years building and shipping ML or AI/LLM systems in production, including 3+ years managing or leading engineers
- A track record of building and scaling AI-powered product capabilities 0-to-1, and of growing a small, strong engineering team while staying hands-on
- Strong, current Python; you still write and review production code
- Applied AI experience is essential, including building products on large language models and partnering with product, design, and data to shape an AI roadmap
Benefits
Comp & perks- Health insurance
- Paid time off
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligencelarge language modelsPythonproduction codeevaluation infrastructureAI featuresmodel upgrade pipelinescaling AI productsgo-to-market strategy
Soft Skills
leadershipcoachingmentoringteam buildingcommunicationcollaborationproblem-solvinghands-on managementtechnical visionquality assurance
