Software, Data Analytics, Business Intelligence, Cloud Computing

Customer Success Architect

RemoteRemoteFull Time$130,000–$230,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

Sigma
customer success
performance
tuning
security
SSO
team organization
row-level security
embedded
API access

Nice to have

SaaS company
cloud architectures
startup experience

Role summary

Sigma is seeking a Customer Success Architect (CSA) to provide post-sales technical expertise, ensuring customers meet their objectives. This role involves advising customers on technical best practices, including Sigma's platform, performance tuning, security (SSO, row-level security), embedded analytics, and API access. You will also work with data products like CDW, ETL, and catalog tools, capture product feedback for the product team, identify new use cases to grow accounts, and cultivate customer references. The role requires designing and developing software solutions for Business Intelligence and analytics products, understanding customer requirements, implementing tailored analytics solutions, and troubleshooting technical issues. A minimum of 10 years of business intelligence experience in a customer-facing technical role is required, along with database concepts, data warehouse experience (cloud preferred), ETL experience, and familiarity with technologies like JavaScript, SQL, React, and GitHub. A Bachelor's degree in computer science or equivalent experience is also necessary. Experience at a SaaS company or with cloud architectures is preferred.

Customer Success Architect (CSA) team provides technical expertise for the post-sales customer experience. Customer Success Architects are responsible for making sure that our customers are meeting their objectives. They are a vital component of our company’s success, working with customers, partners, and product teams to deliver success for our valued customers. CSA supports multiple post-sales roles including GTM, Support, & Product.

What You Will Be Doing

Sigma champion and product expert, customers will look to you for advice and expertise

Advisor to our customers on technical best practices including

Sigma best practices and patterns

Performance and tuning

Security including SSO, team organization, and row-level security

Embedded and API access

Related data products like CDW, ETL, and catalog tools

Capture product feedback from customers and engage with the product team to improve our product roadmap

Identify new use cases to grow accounts and find areas where Sigma can provide the most value to ensure renewals

Cultivate customer references for the marketing team

Design and develop software solutions for Business Intelligence and analytics products while providing technical expertise for post-sales customer success.

Working directly with customers to understand business and technical requirements and implementing tailored analytics solutions in customer environments; advising customers on best practices for implementation, performance, security, embedded analytics, and API access; collaborating with Product Managers and Engineering teams to deliver and improve customer solutions;

Documenting software and technical implementations; monitoring deployed solutions and troubleshooting complex technical issues; and learning product capabilities, release processes, and maintenance procedures to ensure successful customer outcomes.

Qualifications We Need

Minimum 10 years of business intelligence experience working in a customer-facing technical role (customer success or consulting)

Customer relationship skills

Experience with database concepts

Data warehouse experience - cloud data warehouse preferred (Snowflake, Redshift, BigQuery)

Designing, developing, and writing software and custom solutions using technologies such as JavaScript/TypeScript, SQL, React, GraphQL, and GitHub

ETL experience

Experience implementing production business intelligence solutions

Familiarity with JavaScript and Web Development is a plus

Bachelor’s degree in computer science or related field or equivalent technical experience

Ability to work remotely full-time with up to 50% travel (eventually)

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

Additional Job detailsThe OTE range for this position is $130k - $230k 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 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.

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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