Director of AI Product Engineering

Mixpanel Mixpanel · Data AI · San Francisco, CA · Engineering

Director of Engineering responsible for Mixpanel's core product analytics, growth infrastructure, and platform capabilities. The role involves leading multiple engineering teams, shaping technical strategy, and driving the development of AI-first product experiences. Success is measured by revenue and retention, with a focus on evolving the product from showing what happened to explaining why.

What you'd actually do

  1. Lead multiple engineering teams across different product areas. This role is for someone who develops people seriously and holds a high bar for execution.
  2. Build an AI first product analytics for the next generation of software
  3. Hire well, coach deeply, and build a culture where engineers feel ownership and pride in what they ship.
  4. Shape direction alongside Product and Design, turning big ideas into focused execution without losing quality.
  5. Set the technical bar. Empower tech leads with clarity and trust, and protect the systems your teams own.

Skills

Required

  • 10+ years of engineering experience
  • 4+ years leading engineering teams of 50+
  • experience managing managers
  • Proven track record building and shipping customer-facing web applications at scale
  • Experience building AI-powered products in production, not as an add-on, but as a core part of the product
  • Strong collaboration with product managers and designers on meaningful user-facing work
  • Strong judgment in technical tradeoffs
  • Evidence of leadership through influence, alignment, and growing others
  • Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures
  • High ownership, accountability, and product instinct

Nice to have

  • Uses AI to do better work: curious, discerning, and practical about it.

What the JD emphasized

  • AI-powered products in production
  • customer-facing web applications at scale

Other signals

  • AI-first product analytics
  • next generation of AI-led product experiences
  • building the next generation of AI-first products
  • building and shipping customer-facing web applications at scale
  • Experience building AI-powered products in production, not as an add-on, but as a core part of the product