Software Engineer, Fullstack (AI)
SprigUnited States1 day ago
Full-timeRemote FriendlyEngineering, Information Technology
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About Sprig
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.
About The Role
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.
Your Impact
Our Commitment to Diversity and Inclusion
We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.
Employee Pay Disclosure
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.***
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.
About The Role
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.
Your Impact
- 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
Our Commitment to Diversity and Inclusion
We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.
Employee Pay Disclosure
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.***
Key Skills
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