Engineering Manager, AI Tooling

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Lead a team of engineers working on Field Agent Growth, AI tooling, and related adoption surfaces.
• 2
  Own engineering execution for initiatives that increase Field Agent usage, first-party AI token consumption, and Agent WAU.
• 3
  Partner with Product and Design to identify high-leverage growth opportunities, quickly validate hypotheses, and ship product experiences that help customers discover and successfully use Field Agents.
• 4
  Drive a rigorous experimentation and rollout culture, including experiment architecture, ramp plans, exposure quality, launch readiness, metric instrumentation, and pre/post analysis.
• 5
  Help the team balance growth-oriented product bets with defensive trust-building work such as credit transparency, spend visibility, warnings, and guardrails.

RequirementsAI-extracted

• Experience managing and developing high-performing product engineering teams.
• Strong product sense and experience shipping user-facing product experiences with measurable business or usage impact.
• Experience building AI, ML, automation, developer tooling, workflow, or product-led-growth experiences.
• Experience partnering closely with PM, Design, Data Science, and GTM teams.
• Strong technical judgment across full-stack product development; AI product experience is strongly preferred but not strictly required.

Perks & BenefitsAI-extracted