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About
is building the
agent infrastructure for enterprise revenue.
We spent five years building
the only data architecture that preserves causality across the full revenue stack
- every interaction, every signal, in sequence.On top of that foundation, we built
Nex-lm, a purpose-built AI engine that compiles natural language into deterministic agent workflows.
The result is a platform that can extract the revenue blueprint from a company's data, encode it into repeatable automations, and
execute it across sales, marketing, and customer success - consistently, at scale.
We are not building a dashboard tool with an AI feature.
We are building the operating layer that replaces the human bottleneck in enterprise revenue organizations.
This is a category being defined right now, and we intend to own it.
We have
raised $50M+
from Bessemer Venture Partners, General Catalyst, Y Combinator, and others.
We operate
fully in-person in San Francisco . We move fast and we hire people who want to win.
Since launching late 2023, we have grown to
8-figures in ARR , process
over 60 TB of revenue data monthly , and we are working with some of the largest B2B companies in the world like
Microsoft, Harvey, New Relic, Collibra , etc.
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. 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 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 We're 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?
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 inclusive environment for all employees.
Languages
- English
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