Senior Engineering Manager, Builder Enablement - Front End

Gusto Gusto · Fintech · San Francisco, CA · Engineering

Senior Engineering Manager to lead a team focused on AI-assisted development and builder enablement. The team owns Gusto's design system and AI tooling, including MCP servers, agent skills, prototyping sandboxes, and eval systems, aiming to make AI-assisted shipping the default for all builders. The role involves leading senior engineers, partnering with Design and Product, and shaping the strategy for AI tooling and the design system.

What you'd actually do

  1. Lead and grow a team of senior engineers working at the frontier of design systems and AI-assisted development, setting a high bar for technical quality and velocity
  2. Partner with the team's Design and Product leads as the engineering half of the team's leadership triad, setting strategy for how AI tooling, the design system, and builder support evolve together
  3. Guide the team's use of AI across their own workflows — running and learning from weekly experiments, building evals, and making judgment calls about where to invest in tooling vs. authoring vs. automation
  4. Conduct regular 1:1s, coaching, and career development for direct reports, and model Gusto's values across your team and the broader org
  5. Collaborate with other engineering leaders across Core Experiences and the AI platform to align on shared tooling, publishing infrastructure, and platform direction

Skills

Required

  • 8+ years of professional software engineering experience, with at least 5 years leading engineering teams
  • A track record of empowering senior engineers and tech leads
  • Strong product sense and the ability to work closely with Design and Product partners to shape strategy, not just execute against it
  • Hands-on fluency with modern AI developer tooling (MCP servers, agent skills, Claude Code / Cursor, prompt engineering, evals)
  • Experience with frontend platforms, design systems, or horizontal/shared infrastructure that many other teams depend on; comfort with TypeScript, React, and modern frontend ecosystems
  • Experiment-driven leadership style: comfortable framing hypotheses, scoping small tests, and making decisions based on evidence in a fast-moving space
  • Strong written and verbal communication: comfortable being visible, educating broadly, and making your team's work legible to non-technical audiences
  • Comfortable navigating ambiguity, fluctuating requirements, and a large stakeholder surface area: the team's customers are the whole company

What the JD emphasized

  • AI tooling
  • agent skills
  • eval systems
  • prompts and patterns
  • AI-assisted shipping
  • AI tooling
  • builder enablement
  • AI tooling
  • eval systems
  • AI developer tooling
  • agent skills
  • evals
  • AI ecosystems
  • agent skills
  • eval frameworks

Other signals

  • AI tooling for builders
  • Agent skills
  • Eval systems for AI output
  • Design system integration with AI