Senior Software Engineer, AI Team

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.

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.

• 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.

• 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 PostgreSQL is a plus. Python experience is welcome if you’re comfortable working primarily in TypeScript.
  

• Product-oriented mindset: You think beyond correctness and care about how systems enable intuitive, high-quality customer experiences.
  

• Applied AI integration experience: Hands-on experience integrating third-party inference services (such as OpenAI or Anthropic) into real product workflows; model training is not required.
  

• Distributed systems expertise: Comfortable designing event-driven, data-intensive architectures that operate reliably at scale.
  

• Prompt and context design knowledge: Familiarity with prompt construction and context management is a strong plus.
  

• Pragmatic execution style: You balance technical depth with speed, adapt quickly, and enjoy iterating in a fast-moving AI environment.

• Competitive Salary

• Competitive Employee Equity

• 401K Program

• Medical, Dental, and Vision Benefits

• FSA/HSA Benefit

• $175/month Commuter Benefit

• Additional Wellbeing Benefits

• Flexible Paid Time Off

• Paid Parental Leave

• Professional Development Stipend

• Hybrid Office Policy

• Lunch and dinner daily

• Company Sponsored Social Events

At Sprig, we pride ourselves on being a people-first company where your contributions matter and your impact is visible. We’ve been recognized as a Great Place to Work® for three consecutive years and have also been named one of Fortune’s Best Workplaces in the Bay Area® and one of Built In’s Best Places to Work®. If you're excited about helping build products that millions of users love while shaping the future of AI-powered user research, we'd love to meet you.

We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.

The salary range for this full-time position is $180,000 - $260,000 + Equity + Benefits. Our cash compensation ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for San Francisco, CA. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in postings reflect the base salary only, and do not include equity or benefits.

***Please beware of scammers who are posing as Sprig and Sprig team members. Our recruiters use @sprig.com email addresses exclusively. We do not conduct interviews via text or instant message, and we do not ask candidates to purchase equipment through us or solicit money from you. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.***