Backend Engineer (AI)

HockeyStack
San Francisco$160k – $200kPosted 24 February 2026

Job Description

HockeyStack is building the AI system that runs B2B sales and marketing.We integrate with every tool across the go-to-market stack, combine it with first and third-party data, and build the most complete event-level data foundation in the industry. On top of it, we:Mine every won and lost deal to reverse-engineer the patterns that drive revenue, then deploy agents that guide reps through the optimal process deal by deal, in real time.Surface what's really driving pipeline and what isn't, replacing weeks of manual analysis with answers on demand.Learn from every outcome and every rep interaction, getting sharper over time — not just when someone rewrites a prompt.We're not wrapping LLMs around prompts and guessing. We've built a structured reasoning layer that makes agent execution deterministic and self-improving — something no other player in the market has done.Y Combinator alum. $26M Series A led by Bessemer Venture Partners. 3× YoY growth. 8-figure ARR. 60+ TB of GTM data processed. We move fast and hire people who are ready to win. This role is open to being located in our San Francisco HQ or fully remote.🚀 Your MissionAs 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. You’ll 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 You’ll DoOwn and continuously improve the backend systems that power all reporting features across the platformDesign, write, and maintain high-performance SQL queries — including some that span 500+ lines — to deliver critical GTM insightsDevelop and maintain backend services in Node.js and Express that transform raw data into actionable outputImprove query performance across massive datasets stored in ClickHouse and other systemsWork cross-functionally with Product and Frontend teams to deliver accurate, real-time dashboards and insightsImplement robust caching strategies, edge-case handling, and reliability measures at scaleShip fast and often — deploying to production frequently while maintaining high-quality standards🧬 What We’re Looking ForOwnership-first mindset — you take initiative, move fast, and figure things outThrive in early-stage, high-urgency environments where speed and impact matterFully committed to working in-person 5 days/week at our SF HQCurious, self-aware, and feedback-driven — you bring energy, not egoSee this role as a defining chapter — not a stepping stone or side questStrong backend engineering experience with Node.js and modern JavaScript/TypeScriptProficiency in writing and optimizing complex SQL queriesExperience working with analytical databases like ClickHouseFamiliarity with data infrastructure, reporting systems, or analytics-heavy SaaS productsExposure to B2B GTM data, real-time dashboards, or BI tools✨ Why Join Now?We’re at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You’ll be joining a company with real traction, rapid growth, and meaningful backing—where every person still shapes the outcome. This isn’t just a job. It’s 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 inclu ... (truncated, view full listing at source)