Senior Software Engineer, AI Team

ABOUT SPRIG Sprig is the customer survey platform, rebuilt around AI agents. For two decades, teams have relied on Qualtrics, Medallia, and SurveyMonkey to understand their customers. These platforms were built for a slower era, with manual setup, fragmented workflows, and insights that arrive too late to shape decisions. The gap between how fast products move and how fast research can keep up has never been wider. We're building something different. With Sprig, AI agents design studies, adapt surveys in real time, and turn responses into clear, actionable insight. Teams move from question to evidence in hours instead of weeks, without sacrificing rigor. Product teams no longer guess. They know. Our mission is to make deep customer understanding effortless and always on, so the best teams in the world can build products their customers love. Companies like Microsoft, DoorDash, Notion, Figma, Coinbase, and TripAdvisor use Sprig to stay close to their users. Backed by $85M from Andreessen Horowitz, Accel, and First Round Capital, we're growing quickly across the world's leading product organizations. The category is being rebuilt, with AI at the core. If you're excited by hard problems and the chance to define how modern teams understand their customers, we'd love to meet you. ABOUT THE ROLE Sprig’s AI engineering group builds the core technology that enables UX researchers and product leaders to understand customer behavior and feedback at massive scale. Our platform ingests and processes hundreds of millions of events daily and powers large volumes of AI-driven analysis to turn raw signals into clear, actionable insights for product teams. In this role, you’ll be responsible for the backend systems that support this work—high-throughput data pipelines, AI inference orchestration, and the integrations that connect applied AI directly into Sprig’s product experience. You’ll help evolve the technical foundation that allows our customers to trust, scale, and operationalize AI-powered understanding. While the team collaborates across the full stack, this position is primarily focused on backend and distributed systems, with close proximity to applied AI infrastructure. You’ll work alongside engineers who value thoughtful design, practical solutions, and shipping work that makes a measurable difference for customers—while maintaining strong standards around reliability, privacy, and correctness. This is a hybrid position requiring three days per week in our downtown San Francisco office, conveniently located near Montgomery BART. YOUR IMPACT - Build and operate core backend systems: Design, implement, and deploy distributed services and workflows that underpin Sprig’s AI-powered insights, owning projects from early design through production rollout. - Support product-facing experiences: While backend-focused, contribute across the stack as needed to enable the product features that surface AI analysis to researchers and PMs. - Advance data and inference workflows: Develop and maintain scalable pipelines for large-scale data processing and AI inference, ensuring performance, reliability, and operational clarity. - Influence technical decisions: Participate in system design and planning discussions, helping balance iteration speed with long-term system health and scalability. - Partner cross-functionally: Collaborate closely with product managers, designers, and other engineering teams to shape requirements and deliver well-scoped, high-impact capabilities. - Strengthen engineering quality: Promote best practices around performance, maintainability, and resilience across the AI platform, while mentoring and learning alongside the team. YOUR STRENGTHS - Strong backend engineering experience: 5+ years building and maintaining scalable backend systems, with a proven history of shipping robust, production-grade software. - Proficiency with TypeScript: Most development is done in TypeScript. Experience with Node.js, Temporal, AWS, or Postg