---
title: 'Forward Deployed Engineer at Sigma Computing'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-sigma-computing-new-york-z7g9m6vc676p'
type: 'job'
last_seen: '2026-09-06'
---

# Forward Deployed Engineer at Sigma Computing

- **Company:** Sigma Computing
- **Location:** New York, NY
- **Posted:** 2026-06-17
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/sigmacomputing/jobs/7776721003

## Job description

Forward Deployed Engineer

Sigma's vision is to create an insight-driven world where people, organizations, and, ultimately, humanity are transformed for the better by data. We're building a cloud-native platform that lets anyone tap into their largest cloud databases and explore data to reach business insights in seconds, all without writing SQL. On that same live, governed data, our customers build the data apps and automated workflows that move real work forward.

We're growing our forward-deployed team and looking for a Forward Deployed Engineer who will help our largest enterprise customers turn Sigma into business results. You'll join a hands-on team with a shared mission: make data genuinely easy to use, and prove it out inside the accounts that matter most.

The Sigma Forward Deployed Engineer believes in the power of analytics to transform organizations and uncover new data insights. You'll act as the trusted technical advisor to our customers, embedding with their teams to learn how they run the business and building the workbooks, data apps, input tables, and automated workflows that solve their hardest problems. Working in tandem with Sales, Customer Success, Product, and Engineering, you'll own the deliverables you're responsible for with each group, accountable for the technical work that takes a customer from kickoff to a live, production deployment.

## What you'll do

- Lead implementations from kickoff to production. Take a focused portfolio of strategic enterprise customers from first connection to a live deployment. Connect Sigma to their data platform, model their data, configure security and governance to match their policies, and build Sigma documents that best fit their use case.
- Embed with customer teams. Uncover the business problem behind each request, then design and build the right solution in Sigma: workbooks, data apps, input tables, and automated workflows on live warehouse data.
- Build solutions teams depend on. Ship production-grade work that real users rely on every day, and incorporate the latest-and-greatest of the Sigma platform to drive new feature adoption.
- Run live technical sessions. Lead discovery sessions, working sessions, and troubleshooting calls with both business users and data engineers. Adjust your technical depth to the room and keep your composure when the stakes are high.
- Watch performance in production. Catch query performance, data accuracy, and governance issues early, and resolve them before they reach the customer's users.
- Escalate issues and needs, and document them. Surface technical blockers, integration gaps, and customer requests to the right internal team, and document them clearly so they can be tracked, prioritized, and resolved with full context.
- Turn what works into reusable assets. Write implementation guides, build solution templates, and codify deployment patterns the whole field team can reuse. Mentor newer engineers as the practice grows.
- Grow the relationship. Build lasting trust with your customers and spot new places Sigma can help, whether that's a new team, a new use case, or a new data source.
- Travel to customers. Up to 25% travel to customer sites, depending on location, to build alongside their teams in person.

## What we're looking for

- 5+ years in a customer-facing technical role: forward deployed engineering, solutions or sales engineering, analytics engineering, professional services, or similar.
- Strong SQL and hands-on data modeling. You can shape messy source data into something a business team can actually use.
- Direct experience with cloud data platforms: Snowflake, Databricks, BigQuery, or Redshift.
- A track record building production analytics or data apps, with ownership from design through deployment.
- Clear communication at every level of an organization, from analysts to senior executives, in both technical and business terms.
- Comfort with ambiguity and the independence to drive an engagement without a script.
- The organization to manage several customer engagements at once in a fast-moving environment.
- Bachelor's degree in computer science, a related field, or equivalent technical and business experience.

## Nice to have

- Experience with Sigma or comparable analytics platforms such as Tableau, Looker, or Power BI.
- ETL and transformation experience with tools like Fivetran, dbt, or Matillion.
- Python or a similar language for building integrations, APIs, and supporting tooling.
- Experience embedding analytics into customer-facing applications.
- Hands-on work with enterprise data governance and security requirements.

## Why Sigma

Most analytics tools copy data out of the warehouse and work on a cached version. Sigma runs directly on the data platform, so data is always live, security policies are always enforced, and nothing breaks when the source changes. As a Forward Deployed Engineer, you'll be the person who proves that out inside our most important accounts, and you'll help define how Sigma shows up in the field as the team grows.

Additional Job details

The base salary for this position is $100k - $130k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package. About us:

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.

Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Come join us!

Benefits For Our Full-Time Employees:

- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s [Candidate Privacy Notice](https://www.sigmacomputing.com/legal/candidate-privacy-notice) for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

## About Sigma Computing

## Company Overview
- **One-liner**: Sigma Computing provides an AI-powered analytics and application platform that enables business and technical teams to build governed AI apps and dashboards directly on their cloud data warehouse.
- **Entity Type**: Private (Series E, $3B valuation as of May 2026)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available
- **Founders**: Mike Palmer (CEO), Rob Woollen (CTO/Co‑founder) [sigmacputing.com/company](https://www.sigmacomputing.com/company)

## Core Business
- **Primary industry**: Analytics and Business Intelligence, AI Applications
- **Target customers**: B2B, Enterprise, data and analytics teams, business users
- **Mission or purpose statement**: “Help us build the future of AI, data apps, and analytics.” [sigmacomputing.com/company/careers](https://www.sigmacomputing.com/company/careers)

## Products & Services
- **Sigma Platform**: Warehouse‑native analytics workspace with spreadsheet, SQL, Python, and visual builders for live query, writeback, and collaboration.
- **Sigma Agents**: No‑code AI agents that operate within governed warehouse data to automate workflows.
- **Sigma Assistant**: AI copilot for natural‑language data questions and app building.
- **Sigma Data Modeling Skills for AI Agents**: Lets data engineers build and manage Sigma models from AI coding tools like Claude Code, Cursor, and Snowflake Cortex Code.
- **Sigma MCP Server**: Provides governed answers from data directly in AI chat assistants such as ChatGPT and Claude.

## Market Standing
- **Valuation**: $3 billion (Series E, May 2026) [sigmacomputing.com/resources/announcements/series-e](https://www.sigmacomputing.com/resources/announcements/series-e)
- **Key Metric**: $200M Annual Recurring Revenue (as of April 2026); Total funding $581.3M across 7 rounds [LinkedIn](https://www.linkedin.com/company/sigmacomputing)
- **Notable Investors/Partners**: Princeville Capital (lead), Databricks Ventures, ServiceNow Ventures, Workday Ventures, Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, XN; J.P. Morgan and Allen & Company as placement agents. Key partners: Snowflake (BI Partner of the Year), Databricks, Fivetran. [series‑e page, careers page]
- **Growth Signals**: $200M ARR (doubled YoY), 2,000+ customers including Fortune 10, 1.1M+ new active users added in last fiscal year, 100%+ YoY growth, headcount 730 (+43.9% YoY), APJ expansion with Sydney HQ, Sigma Agents fastest adopted feature, 2025 Gartner Magic Quadrant for Analytics and BI, 2024 SaaS Award for Highest Customer Satisfaction. [LinkedIn, series‑e page](https://www.sigmacomputing.com/resources/announcements/series-e)

## Competitive Advantages
- **Warehouse‑native architecture**: Queries data directly in the cloud warehouse – security, governance, audit, and lineage are inherited at the source.
- **Multi‑modal interface**: Spreadsheet, SQL, Python, and AI in one workspace, enabling every user type.
- **Governed AI**: Build AI apps/agents without moving data; full IT control over permissions and telemetry.
- **Strong ecosystem**: Deep integrations with Snowflake, Databricks, Fivetran; recognized as top partner by major data platforms.

## Strategic Focus
- **AI‑first product expansion**: Accelerating agentic analytics, copilot, and MCP server capabilities.
- **International growth**: New APJ headquarters in Sydney, continued EMEA presence (London office).
- **Enterprise scale**: Targeting larger deployments with governed AI and operational workflows.
- **Developer enablement**: Supporting vibe coding and AI coding agents (Cursor, Claude Code) for data model creation.

## Why Work Here
- **Culture**: Data‑driven, velocity‑ and learning‑focused; bi‑annual hackathons; flexible schedule and unlimited time off. [sigmacomputing.com/company/careers](https://www.sigmacomputing.com/company/careers)
- **Work environment**: Hybrid/remote flexibility (“work in the way that suits you”); offices in San Francisco, New York City, London, and Sydney.
- **Perks**: Daily lunch via DoorDash, unlimited snacks/coffee, Unagi scooter benefit; comprehensive health/dental/vision, parental leave; wellness benefits (Carrot Pro, Wellhub+, Rightway, OneMedical); 401(k) with match (US); pension with 3% match and commuter benefit (UK); competitive pay; professional development support (conferences, L&D, clear career progression). [careers page](https://www.sigmacomputing.com/company/careers)
- **Engineering culture**: Strong AI/ML, backend, frontend, fullstack roles; new grad program; focus on innovation, observability, and reliability. Many open engineering positions as the company scales rapidly.

## Sources
1. [Sigma Computing Careers Page](https://www.sigmacomputing.com/company/careers)
2. [Sigma Computing Homepage](https://www.sigmacomputing.com/)
3. [Sigma Computing Company / Mission Page](https://www.sigmacomputing.com/company)
4. [Sigma Computing LinkedIn Profile](https://www.linkedin.com/company/sigmacomputing)
5. [Sigma Series E Announcement](https://www.sigmacomputing.com/resources/announcements/series-e)

## Other roles at Sigma Computing

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- [Enterprise Solution Engineer - West](https://feeny.ai/job/enterprise-solution-engineer-west-sigma-computing-san-francisco-2gxptv6y9syt) — San Francisco, CA
- [Renewals Manager](https://feeny.ai/job/renewals-manager-sigma-computing-new-york-z7189q9wm5fb) — New York, NY
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- [Regional Sales Manager - EMEA](https://feeny.ai/job/regional-sales-manager-emea-sigma-computing-london-en2rn9jfvg2e) — London, United Kingdom
- [Enterprise Customer Success Manager — East (Bilingual: English/Spanish)](https://feeny.ai/job/enterprise-customer-success-manager-east-bilingual-english-spanish-sigma-bkxd9ax9wegz) — New York, NY
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