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Open nowPosted 11 hours ago

Customer Success Architect

Sigma Computing69 open roles

Where
New York City, NY
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Your applicationOpen nowCustomer Success ArchitectSigma Computing · New York City, NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Sigma Computing's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Sigma Computing postings stay open a median of 25 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 11 hours ago

Sigma Computing median: 25 days open

The posting

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 details The base salary 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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