Sigma Computing Logo

Sigma Computing

Technical Support Engineer

Reposted 3 Months Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
90K-115K Annually
Junior
In-Office
San Francisco, CA, USA
90K-115K Annually
Junior
Provide customer-facing technical support for the Sigma SaaS platform: diagnose and resolve complex SQL and data issues, collaborate with product and engineering, develop diagnostic tools and best practices, participate in on-call rotation and cross-functional improvement projects.
The summary above was generated by AI


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.

Salary Range: $90 - $115k 

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. 

HQ

Sigma Computing San Francisco, California, USA Office

116 New Montgomery St, San Francisco, CA, United States, 94105

Similar Jobs

5 Days Ago
Remote or Hybrid
US
70K-80K Annually
Mid level
70K-80K Annually
Mid level
Artificial Intelligence • Enterprise Web • Machine Learning • Natural Language Processing • Software • Conversational AI • Automation
Own complex technical support issues from reproduction through resolution, troubleshooting APIs, webhooks, workflows, integrations, and AI agent behavior. Escalate well-documented issues to Engineering, identify recurring patterns, and partner on product improvements. Create runbooks and troubleshooting guides, coach Tier 1/2 and BPO teams, support critical incidents and premier accounts, participate in on-call rotation, and handle sensitive customer data appropriately.
Top Skills: Ai AgentsBrowser Developer ToolsCurlDatadogJavaScriptJSONKibanaKustomerLlmsPostmanPythonRest ApisSalesforceSentryShopifySQLTypescriptWebhooksWorkatoWorkflow Automation PlatformsZapierZendesk
Yesterday
In-Office
San Francisco, CA, USA
Entry level
Entry level
Software • Generative AI
Investigate and reproduce production software issues using logs, traces, API responses, and reproducible examples. Coordinate with engineering to validate workarounds, implement supported fixes, and restore customer workflows. Support incident response, communicate technical findings, document investigations, write runbooks and root-cause summaries, improve diagnostic tools, and identify recurring defects. The role requires troubleshooting authentication, permissions, networking, and data-flow issues, along with basic coding and clear technical documentation.
Top Skills: Cloud ApplicationsHttp ApisJavaScriptPythonSQL
Yesterday
In-Office
100K-147K Annually
Senior level
100K-147K Annually
Senior level
Hardware • Software • Semiconductor
Provides advanced technical support for Cymer DUV laser systems, diagnosing escalated field issues and developing solutions to improve reliability. Supports new product introductions through procedure development, diagnostics, tooling, training, and on-site assistance. Collaborates with engineering and field teams on technical bulletins, service alerts, troubleshooting procedures, continuous improvement, and field-tool releases. Analyzes system performance data and works in customer clean-room and laboratory environments, including rotational weekend on-call coverage and approximately 20% travel.
Top Skills: Duv Beam Delivery SystemsDuv Excimer LasersDuv Metrology SystemsFast Scripting EngineGrafanaLabviewPhotolithography Imaging SystemsSpotfireSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account