Staff Software Engineer, Growth

Responsibilities

• Design, build, and operate AI-powered Growth experiences across onboarding and lifecycle engagement, with a focus on conversational and communication-driven product surfaces.
• 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.
• 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.
• 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.
• Design reliable APIs, backend services, and frontend experiences that support personalized onboarding, communications, workflow automation, and other customer-facing Growth journeys.
• Establish strong engineering patterns for applied AI development, including prompt design, tool integration, evaluation-driven iteration, observability, and safe rollout practices.
• Help the team make good long-term architectural decisions around conversational systems, outbound communication workflows, and the supporting platform capabilities they depend on.
• Mentor other engineers and raise the bar on technical execution, product quality, and responsible use of AI across the team.

Requirements

• 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-Haves

• 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.