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Salary
≈ $70k – $139k per year (Estimated)
Location
In office (San Francisco)
Seniority
Junior · 2+ years exp
Visa
H-1B filings in 12 months: 39 · green card filings: 8

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jun 10, 2026. Sigma Computing scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Sigma Computing is a cloud-native business intelligence and analytics software company headquartered in San Francisco, California, and founded in 2014. The company provides a platform that allows users to explore, analyze, and visualize live data from cloud warehouses using a familiar spreadsheet-like interface, SQL, or Python. It serves over 2,000 enterprises globally across industries such as finance, healthcare, and retail, integrating directly with major data warehouses like Snowflake, Databricks, and BigQuery.

About the Role

Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations.

What You Will Be Doing

  • You will be working on diagnosing and resolving complex technical issues in real time via live chat, working directly with customers to troubleshoot. 
  • Periodically working as support on-call, handling high-severity incidents with urgency and end-to-end ownership.
  • Working closely with the development team to develop best practices and tools for diagnosing issues and optimizing the service for performance.
  • Participating in quarterly projects to improve automation, tooling, and processes focused on operational efficiency. 
  • Collaborating with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product.
  • Beyond supporting customers, you also participate in product demos, bug bashes, knowledge shares, and building automation and internal tools for operational efficiency. 

Qualifications We Are Looking For

Core Technical Skills

  • 2+ years of experience in a customer-facing technical role (e.g., Technical Support, Solutions Engineer, or Software Engineer) at a cloud and/or SaaS provider.
  • Advanced SQL proficiency and expertise at writing high-performance queries, including window functions, UDFs, and complex joins to manipulate large-scale datasets.
  • Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) and hands-on experience of data modeling concepts.
  • Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms.
  • Strong understanding  and experience of developer workflows (version control, CI/CD, API integrations, and webhooks) and experience testing and building on top of APIs.
  • Strong collaboration skills and the ability to work with multiple departments to coordinate issue triaging, diagnosis, and resolution
  • Excellent written and verbal communication skills with the ability to explain technical concepts clearly.

Highly Desirable Skills & Experiences

  • Working knowledge of OAuth 2.0, JWT, and SAML at an implementation level along with network troubleshooting.
  • Front-end development experience (React, JS, Next.js, or similar) enabling you to build customer-facing interfaces.
  • Experience with containers, CI/CD pipelines (GitHub Actions, Jenkins, or similar).
  • Exposure to workflow automation platforms (Zapier, Retool, or internal tooling) and a history of automating manual processes.
  • Startup experience. 
  • Basic knowledge of LLM’s, AI Agents, Integrations and workflow 

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 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. 

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