---
title: 'AI Research Engineer at Hex Technologies'
canonical: 'https://feeny.ai/job/ai-research-engineer-hex-technologies-san-francisco-jj5962r1pjsb'
type: 'job'
last_seen: '2026-09-08'
---

# AI Research Engineer at Hex Technologies

- **Company:** Hex Technologies
- **Location:** San Francisco, CA
- **Posted:** 2026-02-11
- **Last confirmed live:** 2026-09-08
- **Apply:** https://hex.tech/careers/5801103004/?gh_jid=5801103004

## Job description

## About the role

Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the [Notebook Agent](https://hex.tech/blog/introducing-notebook-agent/). In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.

As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.

If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.

We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:

- Building features and experiences from 0 to 1
- Partnering on determining the architecture and stack for our AI-enabled capabilities
- Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
- Working at the cutting edge of production AI applications

This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.

We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.

We'd love to hear from you if you have:

- Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
- A lot of enthusiasm for applications of AI to real business problems.
- Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
- Ideal candidates are strong on Infra aspects of MLOps as well.
- You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
- Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
- Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
- Experience maintaining a high quality bar for design, correctness, and testing.

## Our stack

Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.

This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.

In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.

The salary range for this role is: $214,000 - $285,000

The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.

By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

Hex Technologies uses AI-assisted tools as part of our application review process, including for resume screening and fraud detection. These tools help our team evaluate applications and verify applicant information. All AI-generated recommendations are reviewed by a member of our recruiting team before any hiring decision is made. No application is automatically rejected based solely on an AI tool's output.

## About Hex Technologies

## Company Overview
- **One-liner**: Hex builds an AI-powered analytics platform that enables data teams and business users to collaboratively analyze data with trust and accuracy.
- **Entity Type**: Private (total funding $171.5M across 7 rounds; series not disclosed)
- **Headquarters**: San Francisco, CA, USA (with offices in New York and remote team members)
- **Founded**: 2018 (approximately 6 years ago as of 2024)
- **Founders**: Not publicly available from sources

## Core Business
- **Primary industry**: AI Analytics / Data & Analytics Platform
- **Target customers**: B2B – data teams (data scientists, analysts, engineers) and business users in enterprises, AI labs, regulated banks, and SMBs
- **Mission statement**: “Make everyone a data person” – providing tools that allow people and teams to make sense of their world. [hex.tech/about](https://hex.tech/about/)

## Products & Services
- **Hex AI Analytics Platform**: A single connected workspace where data practitioners run code-based analysis (Python/SQL notebooks), business users ask questions in plain language (Threads), and AI agents generate trusted answers grounded in shared context. Includes integrations with data warehouses (Snowflake, BigQuery, etc.), dbt, and APIs. [hex.tech](https://hex.tech/)
- **Hex API**: Allows custom integrations and programmatic access to the platform.
- **Hex for Slack & MCP**: Enables users to ask questions and receive AI-generated answers directly within Slack or via the Model Context Protocol.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding $171.5M; over 2,000 customers globally, including leading AI labs and regulated banks. [hex.tech/about](https://hex.tech/about/)
- **Notable Investors/Partners**: Not publicly listed in search results
- **Growth Signals**: 
  - 2,000+ customers (up from unknown baseline)
  - Active hiring with 13 open positions across Engineering, Product, Design, Sales, Customer, People (as of mid-2025)
  - Employee count estimated at ~182 (based on LinkedIn department breakdown: 50 technical, 49 sales, 23 product, 22 other, 11 HR, 8 design, 6 finance, 5 marketing, 4 consulting, 4 operations) [linkedin.com](https://www.linkedin.com/company/hex-technologies)
  - Offices in San Francisco and New York, plus remote team members across US, Canada, and a few other countries

## Competitive Advantages
- **Shared context engine**: Combines database descriptions, semantic models, business rules, and analytical logic into one curated layer, ensuring every AI answer is accurate and consistent across workflows.
- **Unified platform**: Replaces separate notebooks, BI tools, and ad-hoc Slack requests with a single AI-native workspace for both code-based analysis and conversational self-serve.
- **Trust and governance**: AI does not train on customer data; session data is governed by Terms of Service. Supports oAuth, row-level security, and observability into agent answers.
- **Deep integrations**: Built-in connections to major data warehouses, dbt metadata, and a flexible API.

## Strategic Focus
- **AI-first analytics**: Continuing to invest in agentic AI capabilities that allow anyone to ask questions in natural language while maintaining data team control and governance.
- **Context improvement**: Building systems that automatically improve context over time as more questions are asked, making AI answers increasingly accurate.
- **Expanding self-serve**: Enabling business users to get trusted answers without SQL or Python, while allowing data practitioners to deep-dive when needed.

## Why Work Here
- **Culture**: “Quality, craft, and speed” – few meetings, bias toward action, feedback and support. [hex.tech/careers](https://hex.tech/careers/)
- **Remote/hybrid**: Offices in San Francisco and New York; remote team members throughout US, Canada, and a few other countries. Many roles are SF/NYC/Remote (US).
- **Engineering focus**: Strong engineering culture with 12 open engineering roles (as of mid-2025), including AI, backend, security, and compute engineering leads.
- **Perks**: Beautiful offices, focus on building beloved tools, and a team of builders designing and developing products end-to-end.
- **Hiring transparency**: Recruiters only contact from @hex.tech emails or official LinkedIn accounts; no fees or banking info asked before first day.

## Sources
1. [hex.tech/about](https://hex.tech/about/) – Company overview and mission
2. [hex.tech/careers](https://hex.tech/careers/) – Careers page with culture, locations, and open roles
3. [hex.tech](https://hex.tech/) – Product description, AI analytics platform, features
4. [hex.tech/capability/ai](https://hex.tech/capability/ai/) – AI capabilities and governance details
5. [linkedin.com](https://www.linkedin.com/company/hex-technologies) – Employee count, department breakdown, funding total

## Other roles at Hex Technologies

- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-hex-technologies-san-francisco-9mfsqc7hf4mq) — San Francisco, CA
- [Data Person](https://feeny.ai/job/data-person-hex-technologies-san-francisco-9323nz9vt9nc) — San Francisco, CA
- [Recruiting Operations Manager](https://feeny.ai/job/recruiting-operations-manager-hex-technologies-new-york-jcaa6xca5an4) — New York, NY
- [Partner Solutions Engineer](https://feeny.ai/job/partner-solutions-engineer-hex-technologies-sf-nyc-or-y1e35egyx009) — Sf Nyc OR, United States
- [Technical Sourcer](https://feeny.ai/job/technical-sourcer-hex-technologies-new-york-k1gjvwz9513k) — New York, NY
- [SDR Manager](https://feeny.ai/job/sdr-manager-hex-technologies-san-francisco-yeepy3caest3) — San Francisco, CA
- [Sales Engineer, Enterprise](https://feeny.ai/job/sales-engineer-enterprise-hex-technologies-san-francisco-hjekkp9xsd72) — San Francisco, CA
- [Senior Product Manager, Growth](https://feeny.ai/job/senior-product-manager-growth-hex-technologies-new-york-yhfrh0cgt3jn) — New York, NY
- [Staff Software Engineer, Backend (Platform)](https://feeny.ai/job/staff-software-engineer-backend-platform-hex-technologies-new-york-eezvg64pw2b8) — New York, NY
- [Engineering Lead](https://feeny.ai/job/engineering-lead-hex-technologies-san-francisco-5pyhcd9atzxt) — San Francisco, CA