Sigma Computing Jobs Hiring Now
Sigma Computing is hiring for 48 open roles on Migrate Mate as of July 16, 2026, concentrated in software engineering and account management, with listed salaries up to about $270,000. Migrate Mate updates Sigma Computing's live openings daily. Sigma Computing is a business intelligence and data analytics software company that builds cloud-native tools for data exploration and visualization.
Find Sigma Computing JobsOverview
Sigma Computing hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 48
- Top team
- Software Engineering
- Seniority
- Manager level or above
- Work type
- 2% remote or hybrid
- Top location
- San Francisco
- Salary range
- $80,000–$270,000
Listed salaries for Sigma Computing roles on Migrate Mate range from about $80,000 to $270,000 per year across 48 open roles, as of July 16, 2026.
Open Roles at Sigma Computing
Showing 25 of 48+ Sigma Computing jobs
Digital Customer Success Manager
This is an in-office role based out of our San Francisco or New York office.
About the Role
Sigma Computing is hiring a Digital Customer Success Manager to help scale success across our growing commercial book of business. Sigma is the AI runtime for business — a platform where teams build and run analytics, AI apps, and agents directly on governed warehouse data (Snowflake, Databricks, BigQuery, and more), using chat, a spreadsheet interface, SQL, or Python. In this role, you'll own a high-volume portfolio of mid-market customers who are leveraging Sigma to move from static dashboards to live, AI-powered workflows.
Success in this role is about smart prioritization. With a large book of accounts, you'll use data-driven signals and automation to focus your attention where it drives the most impact: accelerating adoption, surfacing expansion opportunities, and mitigating churn before it happens.
Key Responsibilities
- Manage a high-volume portfolio of mid-market accounts through scalable engagement models (automation, self-service resources, and direct outreach), delivering a consistent, high-quality customer experience at scale
- Drive rapid time-to-value through efficient coordination of self-serve onboarding, training, and enablement programs
- Monitor customer health dashboards and use leading and lagging indicators (product adoption, feature utilization, active user growth, support ticket patterns, and time-to-value) to identify churn risk and expansion readiness
- Apply cohort analysis and customer segmentation to identify trends and optimize engagement strategies across your portfolio
- Develop and deliver targeted customer communications that enable self-service success and reduce reliance on direct touchpoints
- Conduct focused customer meetings tied to specific outcomes: risk mitigation, expansion, or renewal
- Use deep product knowledge to drive adoption of Sigma's features, including AI capabilities, and identify relevant use cases and upsell opportunities for each customer's context
- Collaborate with Sales, Support, and Product to ensure clean handoffs and fast issue resolution
- Contribute to the development and ongoing maintenance of scalable playbooks, templates, and resources that the broader CS team can leverage
Required Qualifications
- 4+ years of customer success experience in SaaS, with a track record managing high-volume customer portfolios
- Demonstrated ability to analyze customer usage data and translate insights into action
- Proficiency with customer success platforms (e.g., Gainsight, Vitally, Totango) and the analytics workflows that support them
- Experience building or refining repeatable playbooks and scalable CS processes
- Familiarity with data analytics and business intelligence concepts; you don't need to be a data engineer, but you should be comfortable talking to customers about their data workflows
- Strong project management skills with the ability to run multiple workstreams simultaneously without dropping context
- Excellent written and verbal communication, particularly in asynchronous and digital-first settings
- Bachelor's degree in Business, Computer Science, or a related field
Preferred Qualifications
- Experience with analytics or BI platforms (Tableau, Looker, Power BI, or similar); bonus if you've used or sold a product that sits on top of a cloud data warehouse
- Familiarity with AI agents, AI apps, or AI-powered workflows in a business context; ideally you've helped customers adopt or get value from these tools
- Basic SQL knowledge and comfort with data concepts
- Experience building customer health scores and success metrics frameworks
Compensation & Benefits
The base salary range for this position is $100,000 – $118,000 annually. Actual compensation may vary based on a candidate's qualifications, skills, and experience. Base pay is one component of Sigma's total compensation package, which also includes variable pay (tied to goal achievement), stock options, and a comprehensive benefits package.
We encourage you to apply even if you don't meet every listed requirement.
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.
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.
Digital Customer Success Manager
This is an in-office role based out of our San Francisco or New York office.
About the Role
Sigma Computing is hiring a Digital Customer Success Manager to help scale success across our growing commercial book of business. Sigma is the AI runtime for business — a platform where teams build and run analytics, AI apps, and agents directly on governed warehouse data (Snowflake, Databricks, BigQuery, and more), using chat, a spreadsheet interface, SQL, or Python. In this role, you'll own a high-volume portfolio of mid-market customers who are leveraging Sigma to move from static dashboards to live, AI-powered workflows.
Success in this role is about smart prioritization. With a large book of accounts, you'll use data-driven signals and automation to focus your attention where it drives the most impact: accelerating adoption, surfacing expansion opportunities, and mitigating churn before it happens.
Key Responsibilities
- Manage a high-volume portfolio of mid-market accounts through scalable engagement models (automation, self-service resources, and direct outreach), delivering a consistent, high-quality customer experience at scale
- Drive rapid time-to-value through efficient coordination of self-serve onboarding, training, and enablement programs
- Monitor customer health dashboards and use leading and lagging indicators (product adoption, feature utilization, active user growth, support ticket patterns, and time-to-value) to identify churn risk and expansion readiness
- Apply cohort analysis and customer segmentation to identify trends and optimize engagement strategies across your portfolio
- Develop and deliver targeted customer communications that enable self-service success and reduce reliance on direct touchpoints
- Conduct focused customer meetings tied to specific outcomes: risk mitigation, expansion, or renewal
- Use deep product knowledge to drive adoption of Sigma's features, including AI capabilities, and identify relevant use cases and upsell opportunities for each customer's context
- Collaborate with Sales, Support, and Product to ensure clean handoffs and fast issue resolution
- Contribute to the development and ongoing maintenance of scalable playbooks, templates, and resources that the broader CS team can leverage
Required Qualifications
- 4+ years of customer success experience in SaaS, with a track record managing high-volume customer portfolios
- Demonstrated ability to analyze customer usage data and translate insights into action
- Proficiency with customer success platforms (e.g., Gainsight, Vitally, Totango) and the analytics workflows that support them
- Experience building or refining repeatable playbooks and scalable CS processes
- Familiarity with data analytics and business intelligence concepts; you don't need to be a data engineer, but you should be comfortable talking to customers about their data workflows
- Strong project management skills with the ability to run multiple workstreams simultaneously without dropping context
- Excellent written and verbal communication, particularly in asynchronous and digital-first settings
- Bachelor's degree in Business, Computer Science, or a related field
Preferred Qualifications
- Experience with analytics or BI platforms (Tableau, Looker, Power BI, or similar); bonus if you've used or sold a product that sits on top of a cloud data warehouse
- Familiarity with AI agents, AI apps, or AI-powered workflows in a business context; ideally you've helped customers adopt or get value from these tools
- Basic SQL knowledge and comfort with data concepts
- Experience building customer health scores and success metrics frameworks
Compensation & Benefits
The base salary range for this position is $100,000 – $118,000 annually. Actual compensation may vary based on a candidate's qualifications, skills, and experience. Base pay is one component of Sigma's total compensation package, which also includes variable pay (tied to goal achievement), stock options, and a comprehensive benefits package.
We encourage you to apply even if you don't meet every listed requirement.
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.
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.
Job Roles at Sigma Computing
Working at Sigma Computing
Sigma Computing's 48 open roles are manager level or above, and about 2% are remote or hybrid. The most active teams are software engineering, account management, and backend engineering. Sigma Computing builds cloud-native business intelligence and data analytics software, with product and engineering teams focused on AI, machine learning, backend infrastructure, security, and data reliability. Most Sigma Computing roles are based in San Francisco and New York.
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Browse jobs by roleSigma Computing Jobs: Frequently Asked Questions
How many jobs is Sigma Computing hiring for right now?
Sigma Computing is hiring for 48 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in software engineering and account management. Roles span engineering, product, design, and go-to-market functions, with openings across multiple seniority levels.
What kinds of roles does Sigma Computing hire for?
The most active teams are software engineering, account management, and backend engineering. Sigma Computing regularly hires for software engineering, AI and machine learning, product design, product marketing, security engineering, and strategic partnerships. Most postings are manager level or above, with a mix of individual contributor and leadership positions across technical and business functions.
Are Sigma Computing jobs remote or in-person?
Mostly on-site. About 2% of Sigma Computing's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in San Francisco. Each Sigma Computing listing shows its work location so you can filter before applying.
How do I apply to a job at Sigma Computing?
Find a Sigma Computing role on Migrate Mate, then follow the listing through to Sigma Computing's own careers page to submit your application directly. Sigma Computing manages its own hiring process, including screening, interviews, and offers, independent of Migrate Mate.
What do Sigma Computing jobs pay?
Listed salaries for Sigma Computing roles on Migrate Mate range from about $80,000 to $270,000 per year as of July 16, 2026, with most postings at manager level or above. Exact pay is set by Sigma Computing and shown on each listing.
Does Sigma Computing hire entry-level?
Most of Sigma Computing's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual Sigma Computing listings for stated experience requirements.
Where is Sigma Computing hiring?
Most Sigma Computing roles are based in San Francisco and New York, and about 2% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.