---
title: 'AI Engineer at HockeyStack'
canonical: 'https://feeny.ai/job/ai-engineer-hockeystack-san-francisco-jv8s1n0tpdcx'
type: 'job'
last_seen: '2026-09-05'
---

# AI Engineer at HockeyStack

- **Company:** HockeyStack
- **Location:** San Francisco, CA
- **Compensation:** $180k–$220k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-19
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/hockeystack/449b62dd-434d-4f42-b005-cf2bc74dba4d/application

**Skills:** Node.js, JavaScript, TypeScript, LLM-powered applications, Agentic AI systems, Multi-agent systems, Agent state management, Context management, Braintrust, Cerebras, Langchain, Multi-model architectures, LLM routing

> Build and maintain backend systems and agentic AI agents for enterprise revenue workflows. Design state-of-the-art context management pipelines using Node.js and modern JavaScript frameworks to automate complex sales and marketing processes.

## Job description

HockeyStack 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 an AI Engineer your mission is to harness the power of agentic AI in building the single portal where GTM team members go to grow their business. You’ll push the boundaries of what LLMs can do — designing systems that don’t just respond to prompts but autonomously orchestrate complex sales and marketing workflows, learn from outcomes, and get sharper over time.

## 🔧 WHAT YOU’LL DO

- Own and continuously improve the backend systems that power all agentic AI features across the platform
- Design, write, and maintain agents responsible for different tasks across a GTM team’s workflows, leveraging the latest agent frameworks
- Develop and maintain backend services in Node.js that power these agents
- Build state-of-the-art context management pipelines and manage thousands of stateful agents.
- 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

What you bring:

- Hands-on experience building and deploying LLM-powered applications or agentic AI systems in production
- Strong backend engineering experience with Node.js and modern JavaScript/TypeScript
- Experience designing and orchestrating multi-agent systems, including managing agent state, memory, and context across complex workflows
- Familiarity with modern AI frameworks and providers (Braintrust, Cerebras, Langchain or similar)
- Understanding of multi-model architectures — knowing when and how to route tasks across different LLMs for cost, speed, and quality tradeoffs
- A track record of shipping in fast-moving, production environments

## ✨ 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 $180,000- $220,000 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.

## About HockeyStack

## Company Overview
- **One-liner**: HockeyStack provides an AI-powered B2B revenue data intelligence platform that unifies go-to-market data and deploys AI agents to automate sales and marketing strategies.
- **Entity Type**: Private (Series B, $50M raised in April 2026)
- **Headquarters**: San Francisco, California, United States (legal address in Middletown, Delaware)
- **Founded**: 2021
- **Founders**: Buğra Gündüz (Co-Founder & CEO), Emir Atli (Co-Founder & CRO)

## Core Business
- Primary industry/industries: B2B revenue intelligence, marketing analytics, sales automation
- Target customers: B2B companies (Mid-market to Enterprise), GTM operations, marketing, and sales teams
- Mission or purpose statement: “We are dedicated to delighting our customers and building the world's largest enterprise software company.” (from careers page)

## Products & Services
- **[Atlas (Data Foundation)]**: Ingests, unifies, and actions GTM data across marketing and sales. Performs identity resolution, data categorization, and causal analysis to connect every touchpoint to revenue.
- **[Multi-Touch Attribution]**: Captures the complete buyer journey from first anonymous touch to closed-won, including cookieless tracking for the dark funnel. Supports custom attribution models and lift/incrementality reports.
- **[Revenue Agents]**: Custom and out-of-the-box AI agents that autonomously execute sales, marketing, and post-sales workflows – from deal recommendations to pipeline forecasting to expansion detection. Powered by a machine-learning model called Blueprints.
- **[Forward-Looking Insights]**: AI agents surface forward-looking recommendations and next-best actions for every segment.
- **[Custom Reports & Dashboards]**: Build reports without SQL, customize attribution models, scoring weights, campaign groupings, and exclusions.

All products are delivered as a SaaS platform.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding raised – over $73M (Seed rounds, Series A of $20M in Jan 2025 led by Bessemer Venture Partners, and a $50M Series B in April 2026 led by Bessemer Venture Partners)
- **Notable Investors/Partners**: Bessemer Venture Partners, Y Combinator, General Catalyst, Uncorrelated Ventures, QNBEYOND Ventures, Jude Gomila and others. Notable customers include Sumo Logic.
- **Growth Signals**: 2x revenue every 6 months (self-reported); 42.3% headcount growth YoY (79 employees as of mid-2026); 60TB total data tracked; 212 requests processed/second; active in 7 countries; 16 open job postings.

## Competitive Advantages
- **Unified data layer (Atlas)** that ingests raw structured and unstructured data from CRM, MAP, ad platforms, website activity, and data warehouses – providing a single source of truth for GTM operations.
- **AI agents (Revenue Agents)** that learn from historical sales data and autonomously execute workflows, differentiating from traditional attribution-only tools.
- **Cookieless tracking** captures the “dark funnel” that CRM and last-touch models miss.
- **High customer stakes**: Companies rely on HockeyStack for critical revenue decisions, driving deep product-market fit.

## Strategic Focus
- Expanding AI-driven revenue agent platform for enterprise customers (as indicated by the $50M Series B raise in April 2026).
- Building out sales, marketing, and post-sales automation capabilities.
- Scaling go-to-market teams (hiring for Account Executives, Field Marketing, Forward Deployed Consultants, Engineering leads).
- International expansion (roles in LATAM, East Coast, and multiple countries).

## Why Work Here
- **Culture**: Emphasizes ownership, urgency, resourcefulness, and honesty. “Everybody here matters” – every employee has a voice and influences product and brand.
- **Remote/Hybrid**: Some roles explicitly remote (e.g., Forward Deployed Consultant – LATAM Remote, East Coast Remote). San Francisco office likely hybrid.
- **Perks**: Competitive compensation + equity, 401k plan, daily catered meals, medical/dental/vision insurance, relocation support.
- **Engineering culture**: High stakes, high impact – “We work hard together. So we can dream bigger.” Team of 79 with rapid growth; backend engineering roles open.
- **Growth trajectory**: One of the fastest-growing companies in revenue tech; employees contribute to 0-to-1 growth.

## Sources
1. [hockeystack.com](https://www.hockeystack.com/)
2. [hockeystack.com/careers](https://www.hockeystack.com/careers)
3. [linkedin.com/company/hockeystack](https://www.linkedin.com/company/hockeystack)
4. [cbinsights.com/company/hockeystack](https://www.cbinsights.com/company/hockeystack)
5. [jobs.ashbyhq.com/hockeystack](https://jobs.ashbyhq.com/hockeystack)

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