---
title: 'Enterprise Solution Engineer - West at Sigma Computing'
canonical: 'https://feeny.ai/job/enterprise-solution-engineer-west-sigma-computing-san-francisco-2gxptv6y9syt'
type: 'job'
last_seen: '2026-09-06'
---

# Enterprise Solution Engineer - West at Sigma Computing

- **Company:** Sigma Computing
- **Location:** San Francisco, CA
- **Work type:** remote
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/sigmacomputing/jobs/7980358003

## Job description

Sigma’s vision is to create an insight-driven world where people, organizations, and, ultimately, humanity are transformed for the better by data. At Sigma, we are building a cloud-native business intelligence platform that allows users to tap into their biggest databases hosted in the cloud and easily conduct ad hoc analysis to gain business insights in seconds. All without any SQL programming. We are growing the Solution Engineering team and are looking for a Solution Engineer who will help redefine the business intelligence landscape for our customers. You will join a talented team of Solution Engineers with a shared mission to truly make data access easy to drive business results.

The Sigma Solution Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solution Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Engineering, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes.  You will align closely with our field Regional Sales Managers (Enterprise)  focused on sales in new and existing accounts.

## What You Will Be Doing

- Understand and uncover business challenges and issues faced by the customer and be able to run a targeted discovery sessions or workshop
- Engage with business users to define, create, and showcase solution prototypes
- Build and present customized demos for customers, trade shows, and webinars
- Confidently present and articulate the business value of the Sigma platform to all levels within an organization
- Deliver product, technical, and security related responses on RFPs/RFIs
- Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets
- Work as a team player by contributing, learning, and sharing new knowledge
- Be conversant in integration and data migration approaches to facilitate enterprise-type sales cycles
- Manage multiple customer engagements concurrently
- Attain quarterly and annual objectives assigned by management
- Become a Sigma champion and product expert, prospects and customers will look to you for advice and expertise

## Qualifications We Need

- Minimum 5 years of business intelligence experience
- Customer relationship skills
- Strong understanding of database concepts
- Cloud data warehouse experience - Snowflake, Redshift, BigQuery
- ETL experience - Fivetran, Matillion or traditional ETL
- Excellent organizational skills and ability to multitask in a fast-paced startup environment
- Experience implementing production business intelligence solutions or proof of concepts
- Bachelor’s degree in computer science or related field or equivalent technical & business experience
- 25% Travel

## Qualifications We Want (also, skills you’ll learn!)

- Experience at a SaaS company or with cloud architectures
- Experience with data analytics business use cases
- Startup experience

## About Sigma

Sigma is a modern analytics & business intelligence (BI) application built for the cloud. Trusted by data-first companies, Sigma provides live access to cloud data warehouses using an intuitive spreadsheet interface—empowering business experts to ask more of their data without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits. Sigma is self-service analytics as it was meant to be: a single source of truth that eliminates data extracts, simplifies analysis, and drives BI adoption at every level of business. Sigma is closing the gap between data teams and business experts. To learn more about Sigma, visit www.sigmacomputing.com or join the conversation on Twitter @SigmaComputing. 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

- [Enterprise Solution Engineer - Central](https://feeny.ai/job/enterprise-solution-engineer-central-sigma-computing-united-states-wggz5fy1jasv) — United States
- [Renewals Manager](https://feeny.ai/job/renewals-manager-sigma-computing-new-york-z7189q9wm5fb) — New York, NY
- [Manager, Commercial Solution Engineering](https://feeny.ai/job/manager-commercial-solution-engineering-sigma-computing-san-francisco-j4y3ny0jtycq) — San Francisco, CA
- [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
- [Enterprise Customer Success Manager - Central](https://feeny.ai/job/enterprise-customer-success-manager-central-sigma-computing-remote-9t6hqn343kpn)
- [Commercial Customer Success Manager - SF](https://feeny.ai/job/commercial-customer-success-manager-sf-sigma-computing-san-francisco-4jbqsz58wvcr) — San Francisco, CA
- [Enterprise Customer Success Manager - NY](https://feeny.ai/job/enterprise-customer-success-manager-ny-sigma-computing-new-york-h67v9eg9bh92) — New York, NY
- [Senior Revenue Accounting Manager](https://feeny.ai/job/senior-revenue-accounting-manager-sigma-computing-san-francisco-7rkzbp5zmdfz) — San Francisco, CA
- [Field CTO](https://feeny.ai/job/field-cto-sigma-computing-remote-ed3s0ft3d99t)