Sprig is building the AI-native successor to legacy survey tools, like Qualtrics, Medallia, and SurveyMonkey. We believe the future of experience research won’t be powered by slow, siloed platforms. It will be fast, intelligent, and deeply integrated into how modern teams build great products.
Our mission is to make deep customer understanding effortless and always on. With Sprig, product teams no longer guess. They know. We are creating a future where AI uncovers insights, accelerates workflows, and enables teams to deliver exceptional customer experiences in real-time.
Companies like Notion, Figma, Coinbase, and TripAdvisor already use Sprig to stay closer to their customers than ever before. We’re scaling quickly toward $100M ARR, launching new AI-powered capabilities, and expanding our impact across the world’s most innovative companies.
If you're energized by bold ideas, rapid growth, and the opportunity to redefine an entire category, we'd love to meet you.
Sprig’s AI team builds the systems that help user-experience researchers and product managers understand their users at scale. 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. As a senior software engineer, you’ll 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.
Our work spans from distributed data processing and inference pipelines to the product surface that UX researchers and PMs interact with. The team operates across the stack but this role emphasizes large-scale backend systems and integration with applied AI. You’ll join a group that values pragmatic engineering, clear design, and measurable impact, advancing both our technical foundation and our ability to deliver trustworthy, privacy-safe analyses and insights.
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.
Build and ship user-facing features – Develop UI components and backend APIs that help product and research teams understand user experiences at scale.
Own small features end-to-end – Take responsibility for well-defined product surfaces or API endpoints, from design and implementation to monitoring and iteration.
Collaborate and learn from experienced engineers – Work closely with senior teammates to review designs, debug complex issues, and grow your technical judgment.
Extend your impact into AI and data systems – Gain exposure to distributed data workflows, prompt engineering, and the AI inference systems that power Sprig’s analyses and insights.
Contribute to quality and shared understanding – Write reliable, testable code, improve observability, and document designs so others can build confidently on your work.
You have 2+ years of professional experience building and shipping production software.
You are comfortable developing across our stack: React, Node.js/Express, AWS, and PostgreSQL.
You have a solid understanding of data structures, RESTful APIs, SQL, and testable system design.
You are capable of designing, implementing, and maintaining well-scoped features or services end-to-end.
You communicate clearly, contribute to reviews and design discussions, and learn through feedback.
You are motivated to extend skills into distributed AI workflows, inference systems, and prompt and context engineering.
It is a plus if you are familiar with event-driven architectures and distributed data processing.
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 truly matter and are valued. We were recently awarded by Fortune as top 50 best places to work in the US, and top 50 Places to Work in the Bay Area by Built In. Come join our mission of building products users love and have a real impact on Sprig’s future.
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 $ 150,000 - $230,000 + Equity + Benefits. Our salary 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 work location and additional factors, including job-related skills, experience, and relevant education or training. Your Recruiter can share more about the specific salary range for your preferred location during the hiring process. 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.***
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Help build the agentic core of an AI-driven hardware design platform by developing reasoning workflows, LLM integrations, and evaluation pipelines across Flux’s TypeScript web stack.
Build and maintain secure, high-performance APIs and platform services that enable partners, AI agents, and external developers to integrate with Quizlet’s LearnOS ecosystem.
Lead and mentor a flight software engineering team at Northrop Grumman to design, develop, and deliver C++ real-time embedded systems for critical space missions while improving processes and ensuring technical quality.
Senior Software Engineer (Full-Stack, backend-leaning) to build scalable backend automations and microservices at Jerry.ai, a profitable consumer super app reimagining car and home ownership.
Assured is hiring a Staff Creative Frontend Developer to craft high-performance, motion-driven web experiences that blend design artistry with engineering precision.
Senior Software Engineer (Site Reliability) to architect resilient, scalable services and mentor engineering teams in support of WGU’s mission to expand access to higher education.
Engineering Manager needed to lead and mentor a distributed team delivering secure, scalable web and mobile client applications using Python/Django and React/React Native in a remote US role with periodic on-sites.
Senior technical leader responsible for defining AI/ML vision, architecting enterprise ML systems, and leading cross-functional initiatives to drive innovation at Analog Devices.
Experienced AWS-focused developer (TypeScript/Node.js) needed to support and enhance client cloud solutions on TTEC Digital's Managed Services team in a fully remote, U.S.-based role.
Build production-grade robotics software that enables automated laboratory experiments, combining motion planning, computer vision, and hardware integration in a fast-moving, mission-driven team.
TurningPoint seeks an experienced Applications Support Engineer to support, troubleshoot, and enhance a Java-based enterprise application across federal and AWS environments with a strong focus on security and DevOps.
Join Navi as a founding full-stack engineer to build production-grade backend and data systems that power an AI co-pilot used by pilots, flight schools, airlines, and the U.S. Air Force.
Quizlet is hiring a Senior Software Engineer to design and deliver scalable, secure APIs, SDKs, and plugin systems that integrate Quizlet with partners, AI agents, and learning platforms.
All-in-one product experience platform that empowers product teams to optimize their customer journey from start to finish.
1 jobs