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HockeyStack

Backend Engineer (AI)

HockeyStack, San Francisco, California, United States, 94199

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Backend Engineer (Reporting team)

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Backend Engineer (Reporting team)

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HockeyStack HockeyStack Is An Applied AI Company On a Mission To Automate Sales, Marketing, And Customer Success For B2B Companies. We Build The Most Complete And Accurate Picture Of The B2B Buyer By Integrating With Every Tool Your Team Uses, Partnering With Third-party Data Providers, And Deploying Custom AI Research Agents. We Use This Data To Power Applications That Automate High-value, High-complexity Workflows Across The Go-to-market And Revenue Teams. Our Core Products Include

Marketing Intelligence instantly answers questions like What led to that sudden drop in pipeline? Account Intelligence surfaces next-best actions to help reps move target accounts toward conversion

Since launching in January 2023, weve come through Y Combinator, raised a $20M Series A led by Bessemer. Were growing 3 year-over-year, have hit multimillion ARR, and process over 60 TB of GTM data monthly. Based at our San Francisco HQ, we operate fully in-person, move fast and hire people who are ready to win.

Your Mission

As a

Backend Engineer on the Reporting team , your mission is to turn massive volumes of GTM data into fast, reliable, and accurate reporting infrastructure that our customers depend on every single day. Youll be the engine behind our most critical dashboards, insights, and customer-facing queries owning the logic, performance, and scalability of the systems that translate raw data into strategic action. This is where your obsession with performance, precision, and product impact turns into rocket fuel for our growth.

What Youll Do

Own and continuously improve the backend systems that power all reporting features across the platform Design, write, and maintain high-performance SQL queries including some that span 500+ lines to deliver critical GTM insights Develop and maintain backend services in Node.js and Express that transform raw data into actionable output Improve query performance across massive datasets stored in ClickHouse and other systems Work cross-functionally with Product and Frontend teams to deliver accurate, real-time dashboards and insights Implement robust caching strategies, edge-case handling, and reliability measures at scale Ship fast and often deploying to production frequently while maintaining high-quality standards

What Were Looking For

Ownership-first mindset you take initiative, move fast, and figure things out Thrive in early-stage, high-urgency environments where speed and impact matter Fully committed to working in-person 5 days/week at our SF HQ Curious, self-aware, and feedback-driven you bring energy, not ego See this role as a defining chapter not a stepping stone or side quest Strong backend engineering experience with Node.js and modern JavaScript/TypeScript Proficiency in writing and optimizing complex SQL queries Experience working with analytical databases like ClickHouse Familiarity with data infrastructure, reporting systems, or analytics-heavy SaaS products Exposure to B2B GTM data, real-time dashboards, or BI tools

Why Join Now?

Were at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. Youll be joining a company with real traction, rapid growth, and meaningful backingwhere every person still shapes the outcome. This isnt just a job. Its a chance to build something category-defining with people who care deeply about doing it right.

As part of our San Francisco, California-based team, the salary range for this role is

$160,000 $200,000 USD base pay annually , depending on experience and qualifications.

HockeyStack is proud to be an

Equal Opportunity Employer . We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Seniority level

Seniority level

Entry level Employment type

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Full-time Job function

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Engineering and Information Technology Industries

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