Senior Software Engineer
Sprig
Senior Software Engineer
Sprig
SaaS platform for product insights
Sprig is the enterprise survey platform, rebuilt around AI agents.
For two decades, companies have relied on Qualtrics, Medallia, and SurveyMonkey to understand their customers and markets. Those 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 businesses 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 insight. Research, insights, and customer experience teams move from question to evidence in hours instead of weeks, without sacrificing rigor.
Our mission is to make deep customer understanding effortless and always on, so the world's leading companies can act on evidence instead of assumptions.
Leading companies like Microsoft, TikTok, DoorDash, and Coinbase trust Sprig to conduct research at scale. Backed by $85M in funding from Andreessen Horowitz, Accel, and First Round Capital, we're rapidly expanding our enterprise presence.
We’re redefining the category, with AI at the core. If you're excited to solve hard problems and have the chance to shape how the world's largest companies understand their customers, we'd love to meet you.
Agents pay off when engineers hand them whole changes, which makes the build-and-test loop the safety gate for the entire org. When CI is slow or flaky, teams lose time waiting and re-running to separate noise from real failures.
This role owns that loop: how quickly a change, from a human or an agent, becomes a signal people trust. That means incremental CI on a large TypeScript, React, and Go monorepo, fast and meaningful test automation, and short-lived environments spun up per branch instead of queued.
We're looking for a builder, not someone to inherit a ticket queue. You'll help set the direction for how development works in an agent-heavy world, then deliver it, as part of the Platform team that supports over a billion visitors a month and nearly a billion events a day!
Modernize the JS/TS build: Lead the move to maintain Bazel tooling and replace accumulated workarounds with a cleaner, faster setup.
Make CI faster, cheaper, and observable: Track build and test performance, improve caching and parallelism, and give the team the data to make build decisions with confidence.
Make testing a first-class developer experience: Own how engineers and agents write, run, and trust tests, with local runs that match CI, automatic flake handling, and quality checks that act as real gates.
Build ephemeral, agent-ready environments: Replace shared, long-lived environments with fast, isolated, reproducible ones that people and agents can spin up on demand and use safely in parallel.
Build systems depth, including frontend: 6+ years owning a build system, with a deep understanding of build correctness and performance (hermeticity, sandboxing, caching, and invalidation). Hands-on experience owning production frontend build pipelines (webpack, Vite, esbuild, or Turbopack) and shared UI packages.
CI/CD as a platform: Experience owning incremental builds, test sharding, runner fleets, presubmit/postsubmit design, and merge queues, with an understanding that services and UI need different feedback loops.
TypeScript/Node fluency: Strong expertise in Node.js module resolution and packaging (CJS/ESM, exports).
Experience with Bazel or a comparable monorepo build tool (Buck2, Pants, Nx, Turborepo) is a strong plus.
Experience building agentic workflows within the software development lifecycle (SDLC).
Ownership of test infrastructure such as flake detection and quarantine, ideally including test suites like Jest, Playwright, or Cypress in hermetic builds
Comfort working in a polyglot repo alongside Go
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 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 the position across all locations (San Francisco, CA; New York, NY). 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 a SaaS platform that helps tech companies improve their products by providing fast, actionable user insights. The service collects both numerical data (like user actions and metrics) and descriptive feedback (comments and impressions) from users and samples of designs or prototypes. It works by integrating with a company’s existing tools to capture user events and attributes, then analyzes the data and uses AI to automatically summarize behavior patterns and highlight key product learnings. Teams can use the insights to understand how users experience a product and where to make improvements, without leaving their current workflows. Sprig differentiates itself through seamless integrations with common tools, a combination of quantitative and qualitative data, and AI-generated summaries that speed up decision-making. The goal is to help organizations accelerate product excellence and improve customer experience by turning raw user data into clear, actionable guidance.
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