Technical Support Engineer

Sigma; San Francisco (CA); On-site; USD 90,000 - 115,000; Full time

Benefits offered by this job

Equity

Health benefits

Flexible time off policy

Paid bonding time for new parents

401(k) options

Commuter benefits

Lunch program

Dog-friendly office

Job summary

Sigma is seeking a Technical Support Engineer to join our award-winning team in San Francisco. You will engage with customers, assisting in resolving complex technical issues while collaborating with multiple teams to enhance service performance.

A Bachelor's degree in a related field is required along with relevant technical experience, particularly in SQL. The position offers a competitive base salary between $90k—$115k annually, along with an annual bonus and benefits.

Qualifications

• 2+ years in a technical customer-facing role.
• Strong understanding of SQL and performance troubleshooting.
• Ability to provide clear visualizations and documentation.

Responsibilities

• Assist customers with complex technical issues.
• Collaborate on best practices for performance optimization.
• Participate in automation and process improvement projects.

Skills

Customer-facing technical experience

SQL proficiency

Data modeling

Communication skills

Collaboration skills

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Redshift

BigQuery

GCP

AWS

Job description

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.

Minimum Education Requirement

This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone.

What You Will Be Doing

• You will work with Sigma's customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues.
• Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
• Collaborate 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.
• Participate in quarterly projects and perform periodic on‑call duties to improve automation and processes.

Qualifications We Are Looking For

• 2+ years of experience in a customer‑facing technical role (Technical Support, Solutions Engineering, or Software Engineering) at a cloud or SaaS provider.
• SQL proficiency—strong grasp of JOINs, Partitions, Window Functions, Aggregations, CTEs, and sub‑queries.
• SQL query performance troubleshooting and query plan analysis.
• Proficient in data modeling concepts.
• Ability to chart data into logical visualizations.
• A proven track record of building trust with customers and bringing issues to resolution quickly.
• Excellent verbal and written communication skills.
• A strong desire to build scalable processes for issue resolution—documenting common patterns and building tooling for diagnosing issues.
• Strong collaboration skills and the ability to work with multiple departments to coordinate issue triaging, diagnosis, and resolution.

Highly Desirable Skills & Experience

• Supporting a cloud service in production.
• Experience working with Snowflake, Redshift, or BigQuery.
• Knowledge of GCP or AWS.
• Startup experience.

Additional Job Details

The base salary range for this position is $90k—$115k 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 an annual bonus, 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.

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 401(k)
• 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. We have an in‑office work environment in all our offices in SF, NYC, London and Sydney.

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).

AI Practices

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.