Sprig is building the AI-native successor to legacy survey tools, aiming to make deep customer understanding effortless and always on, enabling product teams to know their users instead of guessing. The AI team specifically addresses the challenge of processing vast amounts of user feedback and usage data to transform it into actionable product insights at scale.
Requirements
- 5+ years of experience designing and maintaining scalable backend systems with a strong track record of delivering production-quality code.
- You’ll use TypeScript for most development.
- Familiarity with technologies like Node.js, Temporal, AWS, or PostgreSQL is a plus.
- Python experience is welcome if you’re ready to work primarily in TypeScript.
- Skilled at designing distributed, event-driven, and data-intensive systems that are reliable and performant.
- Experienced in integrating external inference providers (e.g., OpenAI, Anthropic) for delivering product capabilities; model training experience not required.
- Knowledge of prompt design and context handling; a strong plus.
Responsibilities
- Design, build, and ship backend features and distributed systems that power Sprig’s AI-driven insights, taking projects from concept to production with sound engineering practices.
- design, operate, and evolve distributed workflows for large-scale data processing and AI inference.
- contribute where needed in the full stack, supporting product surfaces that bring AI analyses and insights to life.
- Participate in design discussions and planning, helping the team make thoughtful trade-offs between speed, quality, and long-term scalability.
- Champion reliability, performance, and maintainability across the AI stack while growing with the team and helping strengthen engineering practices across Sprig.
- Own and evolve the backend systems that make this possible—distributed data pipelines, inference workflows, and the integrations that bring AI-powered understanding into Sprig’s product.
- Every day, we process over half a billion events and run millions of AI inference queries, transforming raw feedback and usage data into actionable product insights.
Other
- This is a hybrid role with three days working in our downtown San Francisco office, which is just a short walking distance from the Montgomery BART station.
- Care deeply about usability and product outcomes, not just system correctness. You think about how your work enables better customer experiences.
- work closely with product managers, designers, and other teams to define and deliver product capabilities.
- Pragmatic and adaptable – Balance technical rigor with fast iteration and continuous learning in a rapidly evolving AI landscape.
- We encourage people from underrepresented backgrounds to apply.
