Senior Backend Engineer, AI

Reposted 21 Days Ago
Be an Early Applicant
San Francisco, CA
Hybrid
180K-260K Annually
Senior level
Software
The Role
This role involves building backend systems for an AI product, collaborating with teams, and mentoring engineers in a fast-paced startup environment.
Summary Generated by Built In
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

As part of Sprig’s AI team you will build the features that allow product researchers and PMs to understand their users at scale. This includes AI analysis of always-on session replays, an incredibly rich source of user behavior data. We are the first in the industry to organize and distill the most important information from this data source that is otherwise impossible to make sense of at scale. This role will be responsible for designing, building, and maintaining the critical backend systems powering features such as this.

This role is based in San Francisco with three days working in office.

Your Impact
  • Work as part of our high-output engineering team and jump in early to develop a world-class product.

  • Own the development and deployment of the end-to-end backend systems powering Sprig’s critical AI features at scale.

  • Orchestrate backend data stores, services, and pipelines with high breadth and depth.

  • Implement state-of-the-art AI algorithms using modern LLMs and AI tech stacks.

  • Contribute to product roadmap discussions as we grow and evolve the product.

  • Be a cross-functional leader across the engineering organization. You will collaborate with product managers, designers, and other various functions.

Your Strengths
  • Minimum 8+ years of software engineer experience with focus on platform, backend, data infrastructure, or distributed computing at large scale.

  • Strong experience with the technologies we use or equivalents: Kubernetes, Postgres, ClickHouse, Redis, Kafka, gRPC, REST, and AWS services.

  • Deep experience with one or more of the languages we use in the backend: Python, Typescript, and Golang.

  • Urgency to deliver consistent and high-quality code and features in a startup environment with sometimes ambiguous requirements. This is a hands-on role.

  • Ability to execute on both day-to-day technical work and multi-quarter planning.

  • Experience with and desire to continue technical mentorship for other engineers.

  • Hunger for continuously learning and applying yourself to brand new problems.

  • Sharp written and verbal communication skills to collaborate with others and document technical work.

Benefits & Perks
  • 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 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 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 $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 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.***

Top Skills

AWS
Clickhouse
Go
Grpc
Kafka
Kubernetes
Postgres
Python
Redis
Rest
Typescript
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The Company
HQ: San Fransisco, CA
50 Employees
Year Founded: 2019

What We Do

Sprig is the leading product experience insights platform for teams building innovative, user-driven digital products. Our mission is to empower teams to make experiences that matter.

Making awesome products requires working with awesome people. At Sprig, our values are at the core of everything we do, say, and create as a team.

Our Values

End with Simplicity: The road from idea to implementation involves twists, turns, and complexities, but the final product we share with customers is always simple.

Never Settle: Growing a successful business can be challenging but we continuously work towards the best. We’ll pass on an okay opportunity now in favor of a great opportunity later.

Quickly Iterate: We never settle, but we do act with urgency. We use data-driven decision-making to take educated risks, and quickly apply learnings to the next iteration.

Lead with Empathy: We care about users — and we care about each other. We know a deep understanding of people as humans is critical to a successful business.

Why Work With Us

Sprig is a user insights platform to build better products. Top tech companies like Notion, Square, and Dropbox rely on Sprig to elevate their product experience through targeted in-product surveys, session replay, and AI analysis. Sprig is backed by top-tier investors, including Andreessen Horowitz, Accel, and First Round Capital.

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