Senior Software Engineer, Sprig
Artificial Intelligence
$180-260k
+ Equity
Office located in Near Montgomery BART station, CA
User research and real-time analytics platform
Be an early applicant
User research and real-time analytics platform
201-500 employees
Be an early applicant
$180-260k
+ Equity
Office located in Near Montgomery BART station, CA
201-500 employees
Company mission
To help product managers, user researchers, and growth marketers uncover customer insights in real time so they can make informed product decisions, faster.
Role
Who you are
- Experienced engineer – 5+ years of experience designing and maintaining scalable backend systems with a strong track record of delivering production-quality code
- Product-minded – Care deeply about usability and product outcomes, not just system correctness. You think about how your work enables better customer experiences
- Comfortable with TypeScript – 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
- Systems-oriented – Skilled at designing distributed, event-driven, and data-intensive systems that are reliable and performant
- Applied AI integration – Experienced in integrating external inference providers (e.g., OpenAI, Anthropic) for delivering product capabilities; model training experience not required
- Prompt and context engineering – Knowledge of prompt design and context handling; a strong plus
- Pragmatic and adaptable – Balance technical rigor with fast iteration and continuous learning in a rapidly evolving AI landscape
What the job involves
- 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
- Deliver impactful systems end-to-end – 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
- Shape Sprig’s data and inference infrastructure – design, operate, and evolve distributed workflows for large-scale data processing and AI inference
- Extend across the stack – while the focus is backend, contribute where needed in the full stack, supporting product surfaces that bring AI analyses and insights to life
- Collaborate across teams and disciplines – work closely with product managers, designers, and other teams to define and deliver product capabilities
- Contribute to technical direction – Participate in design discussions and planning, helping the team make thoughtful trade-offs between speed, quality, and long-term scalability
- Raise the bar on engineering excellence – Champion reliability, performance, and maintainability across the AI stack while growing with the team and helping strengthen engineering practices across Spring
Our take
Designed to make product research and analyzing qualitative data faster and more thorough, Sprig (formerly UserLeap) is an AI-powered technology platform. Its tools are trusted by teams of 1 to 10,000, included a whole host of innovative companies, including Square, Dropbox and Adobe.
The company was conceived after a product manager noticed how difficult it was to obtain rich customer insights at a quick enough pace to help influence product development. What makes Sprig unique is that its research is continuous and in-the-moment, meaning product managers can see their customer insights at all times. Users can deploy a range of their ‘micro surveys' to better understand their clients and access powerful AI analysis for video interviews.
Sprig has backing from top investors like az16 and Accel, and is using its 2022 funding to expand the service line, accelerate the roadmap and invest in more integrations and partnerships. This puts the company on track to continue its upwards trajectory, especially as it saw a revenue growth of 300% in 2022 alone.
Steph
Company Specialist at Welcome to the Jungle
Insights
115% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jun 2021
$38m
SERIES B
Dec 2020
$16m
SERIES A
Total funding: $58m
Company benefits
- Competitive Salary
- Competitive Employee Equity
- 401K Program
- Medical, Dental, and Vision Benefits
- Additional Wellbeing Benefits
- Generous Paid Time Off
- Paid Parental Leave
- Hardware & Software
- Work from Home Equipment Stipend
- Professional Development Stipend
- Flexible Work Options
- Access to Sprig Offices
- Company Events
Company HQ
Financial District, San Francisco, CA
Leadership
Ryan Glasgow
(CEO)Ryan has deep experience scaling companies from early stage to successful exit having been a team member at Weebly (acquired by Square) and Vurb (acquired by Snapchat).
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