Senior Software Engineer, Sprig
AI Team
$180-260k
+ Equity
3 days a week in office
Research platform for UX teams
Open for applications
Research platform for UX teams
201-500 employees
Open for applications
$180-260k
+ Equity
3 days a week in office
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
- 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
What the job involves
- 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
- 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
Our take
Designed to make product research and qualitative data analysis both faster and more thorough, Sprig is an AI-powered UX research platform. Its tools are trusted by teams of 1 to 10,000, included a whole host of innovative companies such as Square, Dropbox and Adobe.
Initially founded as "UserLeap", the company was conceived after a product manager found it difficult to obtain customer insights at a quick enough pace to influence 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.
Sprig has backing from top investors like az16 and Accel, which has allowed it to accelerate its roadmap and invest in more integrations and partnerships. This puts the company in a great position moving forwards as it seeks to further grow its revenue and reach.
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 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 & Founder)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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