Staff Software Engineer, Growth (revenue Enablement)

Gusto Gusto · Fintech · San Francisco, CA · Engineering

Staff Software Engineer, Growth (Revenue Enablement) at Gusto. This role focuses on building and operating AI-powered customer acquisition, onboarding, and lifecycle engagement experiences. Key responsibilities include developing an AI Voice Agent for onboarding and scaling AI-driven email systems using an LLM content generation engine. The role requires full-stack development, ownership of production workflows, and measurable customer impact.

What you'd actually do

  1. Design, build, and operate AI-powered Growth experiences across onboarding and lifecycle engagement, with a focus on conversational and communication-driven product surfaces.
  2. Own the technical strategy and implementation for an AI Voice Agent that helps onboard customers, including the product workflows, backend integrations, safety controls, and evaluation loops needed to make the experience reliable in production.
  3. Build and scale AI-driven email systems across the funnel using ACE, including generation workflows, orchestration, experimentation, quality controls, and iteration based on product feedback and business outcomes.
  4. Partner closely with Product, Data, Design, Marketing, and Platform teams to understand customer pain points, identify Growth opportunities, prototype quickly, and ship improvements that move acquisition, activation, and conversion metrics.
  5. Design reliable APIs, backend services, and frontend experiences that support personalized onboarding, communications, workflow automation, and other customer-facing Growth journeys.

Skills

Required

  • 8+ years of software development experience building and shipping customer-facing product experiences at scale
  • Experience building full-stack systems, including frontend applications, backend APIs, and production services with clear ownership after launch
  • Experience in Growth-related product areas such as onboarding, communications, workflow automation, CRM, lifecycle marketing, or adjacent customer journey systems
  • Strong applied AI fluency, including experience with prompt design, tool integration, conversational experiences, content generation systems, or evaluation-driven iteration
  • Experience owning multi-quarter initiatives that solve ambiguous engineering problems and produce measurable business and customer impact
  • Strong product and engineering judgment, with the ability to balance experimentation speed with quality, reliability, and long-term maintainability
  • Ability to collaborate effectively across engineering and business stakeholders, especially in product areas where technical decisions directly affect customer experience and funnel performance
  • A track record of mentoring engineers and helping teams scale their impact

Nice to have

  • Experience in, or interest working in, Ruby on Rails
  • Appreciation for a collaborative, test-driven environment
  • Ability to build well-structured, maintainable, well-documented code
  • Ability to effectively communicate across engineering teams and with business stakeholders

What the JD emphasized

  • AI Voice Agent
  • AI-driven email experiences
  • production workflows
  • measurable customer impact
  • customer acquisition, onboarding, and lifecycle engagement experiences

Other signals

  • AI Voice Agent
  • AI-driven email experiences
  • ACE, our LLM-powered content generation engine
  • production workflows
  • measurable customer impact