---
title: 'Staff Software Engineer, Backend (Platform) at Hex Technologies'
canonical: 'https://feeny.ai/job/staff-software-engineer-backend-platform-hex-technologies-new-york-eezvg64pw2b8'
type: 'job'
last_seen: '2026-09-08'
---

# Staff Software Engineer, Backend (Platform) at Hex Technologies

- **Company:** Hex Technologies
- **Location:** New York, NY
- **Work type:** remote
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-09-08
- **Apply:** https://hex.tech/careers/6111315004/?gh_jid=6111315004

## Job description

We are looking for a Staff or Principal-level software engineer to join our Compute team.

Hex's Compute team owns one of the hardest performance problems in the product: our users do everything from analyzing 100-line CSV files to querying petabyte-scale Snowflake tables, and in all cases they expect it to feel fast. We power a technical product that our customers trust to accurately retrieve data from their own systems to then efficiently execute polyglot backed analytics workflows.

This is a backend-heavy role with a focus on computation, performance, data systems design, and systems architecture. You'll drive architectural decisions that compound over years, write the technical designs that shape how the team builds, and directly influence the long-term trajectory of Hex's compute platform — all while staying deeply hands-on in the codebase.

What you will do:

- Evolve Hex's execution architecture — the graph-based system that compiles, plans, and runs user notebooks — including proposing and building entirely new compute components that support faster, smarter execution
- Drive parallel execution strategies and caching approaches that reduce latency and minimize unnecessary round trips to external data warehouses
- Instrument complex systems to surface and diagnose performance problems to give the team and our customers a much clearer picture of where time is being spent
- Collaborate across engineering and product to support new platform capabilities, such as building an internal query language that compiles to the appropriate dialect for any connected warehouse
- Author and review technical proposals, and mentor engineers to implement ambitious designs effectively
- Propose and roadmap long-term designs with clear milestones across quarters

About You:

- 10+ years of backend engineering experience, with a strong focus on computation, performance, database/storage optimization, and systems architecture
- Experience with parallel execution strategies, caching strategies, and the trade-offs involved in remote data warehouse computation. Strong systems thinker with solid intuitions around storage, database performance, algorithms, and data structures
- A track record of solving difficult, large-scale systems design problems involving significant data and operational complexity — writing code and reviewing code of your teammates
- The ability to move from abstract, vague problems to well-articulated, well-reasoned technical solutions — and to roadmap ambitious designs with clear milestones across quarters
- A strong communicator; comfortable leading technical work and collaborating across a remote-first team
- Python and/or TypeScript required; experience with both is a plus

Nice to have:

- Working knowledge of Kubernetes, Docker and cloud infrastructure
- Some frontend experience — this is a backend-focused role, but a willingness to occasionally wire a feature all the way through is a plus

This role is fully remote anywhere within the US Eastern timezone, with the option to work from our NYC office.

## 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.

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: $221,250 - $348,500

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

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- [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
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- [Product Manager (NYC)](https://feeny.ai/job/product-manager-nyc-hex-technologies-new-york-8rxwtxfhq13b) — New York, NY