Customer Success Architect

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Customer Success
Employment type: Full Time,
Job posted: 12 Jun 2026
Apply before: 12 Jul 2026
Experience level: Senior
Views / Applies: 9 / 3

About company

About Sigma Computing

Sigma Computing is a cloud analytics platform that empowers business users to explore data at the speed of thought.

Computer Software
2014

Actively Hiring

AI Summary

The Customer Success Architect role at Sigma involves providing technical expertise to ensure customers meet their objectives using Sigma's analytics platform. Responsibilities include advising on best practices for BI, security, and embedded analytics, capturing product feedback, and designing custom solutions. The ideal candidate has 10+ years of BI experience, strong customer relationship skills, and proficiency in SQL, JavaScript, and cloud data warehouses. This role offers the opportunity to work with cutting-edge AI and analytics technology in a fast-growing SaaS company.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires a rare combination of deep technical expertise in BI and data warehousing, advanced customer advisory skills, and the ability to design custom solutions, making it highly challenging.

Salary Analysis

AI Insight Salary data was not provided, so a market estimate is used. For a senior Customer Success Architect with 10+ years of experience, the typical US market range is $120,000 to $200,000, with a median around $160,000. This role's compensation is likely competitive, aligned with industry standards for top-tier SaaS companies.

Key Skills

Business Intelligence Customer Success Data Warehousing SQL JavaScript Cloud Architecture ETL Embedded Analytics SaaS Technical Advisory

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my interest in the Customer Success Architect position at Sigma. With over 10 years of experience in business intelligence and customer-facing technical roles, I have a proven track record of helping organizations maximize the value of their analytics investments. My expertise spans cloud data warehouses, SQL, and custom solution development, which aligns perfectly with Sigma's focus on live data exploration and agentic analytics.

In my previous role as a Senior Customer Success Manager at a leading BI platform, I successfully guided enterprise customers through complex implementations, resulting in a 30% increase in renewal rates and multiple customer references. I thrive on understanding customer needs and translating them into technical solutions that drive business outcomes. I am particularly excited about Sigma's innovative approach to blending AI, SQL, and spreadsheets in a governed environment.

I am confident that my technical skills, customer relationship management, and passion for data-driven problem-solving make me an ideal fit for this role. I look forward to the opportunity to contribute to Sigma's continued growth and customer success.

Sincerely, [Your Name]

Possible Interview Questions

Describe a time when you helped a customer achieve a significant business outcome using BI tools. What was the situation and your approach?

At my previous company, a customer in retail wanted to reduce inventory costs. I analyzed their usage patterns and recommended implementing a live dashboard with real-time inventory levels and demand forecasts. I worked closely with their team to integrate Sigma-like solutions, resulting in a 20% reduction in excess stock within three months.

How would you advise a customer on optimizing performance for large datasets in a cloud data warehouse?

I would start by understanding their data model and query patterns. Then recommend best practices like partitioning, clustering, and materialized views. For Sigma specifically, I'd suggest leveraging live query mode vs. caching based on use case, and ensure proper use of aggregations and filters to minimize data scanned.

Explain your experience with implementing row-level security in a BI tool. Can you give an example?

In a previous role, I implemented row-level security for a healthcare customer to ensure clinicians only saw their own patients' data. I used Sigma's security features to define access policies based on user attributes, such as department or role. This involved configuring SSO groups and mapping them to Sigma teams with restricted row permissions.

How do you handle a situation where a customer is unhappy with product performance or features?

I would first listen empathetically to fully understand their frustration. Then, I'd investigate the issue, provide a clear explanation or workaround, and escalate to product teams if needed. I follow up regularly to ensure the customer feels valued and their feedback is acted upon, which often turns a negative experience into a loyal relationship.

Describe your experience with embedded analytics. How have you integrated a BI tool into another application?

I've embedded Sigma dashboards into a SaaS platform for a logistics client. Using Sigma's API and embedding SDK, I created a seamless experience where users could view analytics within their own app without learning a new tool. I also managed authentication via OAuth to maintain security and customized the look and feel to match the client's brand.

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

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.

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