Senior Software Engineer, AI Team

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 Ro**

le

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 tea

ms.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 understandi

ng.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 correctne

ss.This is a hybrid position requiring three days per week in our downtown San Francisco office, conveniently located near Montgomery BA

**RT.

Your Im**

• **pact

Build and operate core backend syst
ems: Design, implement, and deploy distributed services and workflows that underpin Sprig's AI-powered insights, owning projects from early design through production rol
- lout.Support product-facing experien
ces: 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 work
flows: Develop and maintain scalable pipelines for large-scale data processing and AI inference, ensuring performance, reliability, and operational cla
- rity.Influence technical decis
ions: Participate in system design and planning discussions, helping balance iteration speed with long-term system health and scalabi
- lity.Partner cross-function
ally: Collaborate closely with product managers, designers, and other engineering teams to shape requirements and deliver well-scoped, high-impact capabili
- ties.Strengthen engineering qua**
lity: Promote best practices around performance, maintainability, and resilience across the AI platform, while mentoring and learning alongside the

**team.

Your Str**

• **engths

Strong backend engineering expe
rience: 5+ years building and maintaining scalable backend systems, with a proven history of shipping robust, production-grade so
- ftware.Proficiency with Typ
eScript: Most development is done in TypeScript. Experience with , Temporal, AWS, or PostgreSQL is a plus. Python experience is welcome if you're comfortable working primarily in Type
- Script.Product-oriented m
indset: You think beyond correctness and care about how systems enable intuitive, high-quality customer exper
- iences.Applied AI integration expe
rience: Hands-on experience integrating third-party inference services (such as OpenAI or Anthropic) into real product workflows; model training is not re
- quired.Distributed systems ex
pertise: Comfortable designing event-driven, data-intensive architectures that operate reliably at
- scale.Prompt and context design kn
owledge: Familiarity with prompt construction and context management is a stron
- g plus.Pragmatic execution**
style: You balance technical depth with speed, adapt quickly, and enjoy iterating in a fast-moving AI envir

**onment.

Benefits &am**

• p; PerksCompetitiv
• e SalaryCompetitive Employe
• e Equity401K
• ProgramMedical, Dental, and Vision
• BenefitsFSA/HSA
• Benefit$175/month Commuter
• BenefitAdditional Wellbeing
• BenefitsFlexible Paid
• Time OffPaid Parent
• al LeaveProfessional Development
• StipendHybrid Offic
• e PolicyLunch and dinn
• er dailyCompany Sponsored Socia

l 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.

Our Commitment to Diversity and**

InclusionWe prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds

**to apply.

Employee Pay**

DisclosureThe salary range for this full-time position is $180,000 - $260,000 + Equity + Benefits. Our cash compensation 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 additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in postings reflect the base salary only, and do not include equity o

• r benefits.

***Please beware of scammers who are posing as Sprig and Sprig team members. Our recr
uiters us
e 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.***