Head of AI Products

LeanData • Santa Clara, CA

3d • $250,000 - $300,000 • Onsite

About The Position

LeanData is seeking a hands-on engineering manager to lead the team responsible for building its AI Products, specifically the AI and agent capabilities that drive go-to-market strategies for rapidly growing companies. This role involves owning the technical vision for the AI and agent platform, driving the development of features from initial concept to production, and establishing best practices for AI evaluation and implementation across the engineering team. The position requires managing and developing a team of AI/ML and agent engineers while remaining technically involved in the design and shipping of products. It is a strategic, fast-paced role focused on turning ambiguous go-to-market challenges into effective AI solutions.

Requirements

• 4+ years building and shipping ML or AI/LLM systems in production
• 3+ years managing or leading engineers
• A track record of building and scaling AI-powered product capabilities 0-to-1
• Experience growing a small, strong engineering team while staying hands-on
• Strategic and opinionated: ability to turn ambiguous ideas into production-ready features and defend technical calls
• Depth in evaluation and quality measurement for non-deterministic AI/LLM systems, including model selection and the tradeoffs between quality, latency, and cost
• Strong, current Python skills; ability to write and review production code
• Applied AI experience, including building products on large language models
• Experience partnering with product, design, and data to shape an AI roadmap

Nice To Haves

• Built on or near Salesforce, data warehouses, or against another large, messy enterprise data source
• Experience with the modern eval/observability stack (Promptfoo, Braintrust, Langfuse)
• Experience with durable execution (Inngest, Temporal)
• A founder, founding-engineer, or early-engineer background owning a product end to end

Responsibilities

• Lead and grow the AI Products team: hire, coach, mentor, and raise the technical bar
• Set AI and agent best practices, and the evaluation and quality bar for non-deterministic AI and LLM systems, across the whole engineering team
• 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
• Stay hands-on: design, review, and ship alongside your engineers (roughly half your time)
• 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

Benefits

• Equity

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed