Enterprise Customer Success Manager

Remote from: USA
Salary, yearly, USD: 132,000 - 165,000
Department: Customer Success
Employment type: Full Time,
Job posted: 26 May 2026
Apply before: 26 Jun 2026
Experience level: Senior
Views / Applies: 22 / 4

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

Computer Software
2014

AI Summary

This Enterprise Customer Success Manager role at Sigma Computing focuses on driving Net Dollar Retention (NDR) for high-value accounts in the analytics and BI space. The position involves strategic account management, upselling, cross-selling, and reducing churn through proactive engagement. Candidates need 7+ years of SaaS customer success experience, strong analytical skills, and familiarity with SQL, data visualization, and cloud platforms like Snowflake. The role offers a base salary range of $132k-$165k plus variable pay, stock options, and benefits.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight This role requires a high level of expertise in analytics, strategic account management, and NDR growth, with 7+ years of experience and enterprise sales navigation, making it challenging.

Salary Analysis

AI Insight The offered salary range of $132k-$165k is competitive, aligning well with the market median for enterprise CSM roles in analytics/SaaS. The lower end is above market minimum, and the upper end is near market max, reflecting the specialized nature of the role.

Key Skills

Customer Success Net Dollar Retention Account Management Analytics SQL Data Visualization SaaS Enterprise Sales Snowflake Business Intelligence

Cover Letter Sample

I am writing to express my strong interest in the Enterprise Customer Success Manager position at Sigma Computing. With over 7 years of experience in customer success and account management within the SaaS and analytics industry, I have a proven track record of driving Net Dollar Retention and fostering long-term client relationships.

My expertise includes leveraging SQL, data visualization tools, and cloud platforms like Snowflake to help customers maximize the value of their analytics investments. I have successfully developed and executed strategic success plans that align product capabilities with business goals, resulting in increased adoption and reduced churn.

I am particularly drawn to Sigma's innovative approach to AI-powered analytics and its commitment to empowering business users. I am confident that my skills in cross-functional collaboration and data-driven problem-solving would make me a valuable asset to your team.

I look forward to the opportunity to discuss how I can contribute to Sigma's growth and customer success.

Possible Interview Questions

Can you describe a time when you successfully increased Net Dollar Retention for a key account? What strategies did you use?

At my previous company, I identified a high-value account with declining usage. I conducted a deep dive into their analytics needs, proposed a custom success plan including advanced training and feature adoption, and introduced a cross-sell opportunity for a complementary module. This resulted in a 20% increase in NDR over six months.

How do you approach building relationships with decision-makers in complex enterprise accounts?

I start by understanding the organizational structure and identifying key stakeholders. I schedule regular business reviews to align on goals, provide value-driven insights, and act as a trusted advisor. I also leverage internal champions to navigate politics and ensure buy-in from multiple levels.

Describe your experience with SQL and data visualization tools. How have you used them to help customers gain insights?

I am proficient in SQL for querying data and have used tools like Tableau and Power BI to create dashboards. For example, I helped a retail client analyze sales trends by building a custom dashboard that identified underperforming regions, leading to targeted marketing campaigns that increased revenue.

How do you handle a situation where a customer is at risk of churning? Walk me through your process.

First, I analyze usage data and conduct a health check to identify pain points. Then, I schedule a call with the customer to listen to their concerns and propose a remediation plan, which may include additional training, feature adoption, or executive sponsorship. I set clear milestones and follow up regularly to ensure satisfaction.

What experience do you have with cloud-based analytics platforms like Snowflake or Databricks?

I have worked extensively with Snowflake in my previous role, where I helped customers optimize their data warehouse usage and integrate it with BI tools. I also have experience with Databricks for big data analytics. I understand the nuances of cloud data architecture and can guide customers on best practices.

About Sigma Computing

Sigma Computing is at the forefront of cloud-based analytics and business intelligence, transforming the way businesses leverage their data to make informed decisions. Our platform bridges the gap between complex data queries and business insights, providing an intuitive interface for users of all technical backgrounds.

We’re looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives.

Key Responsibilities:

Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts.
Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing’s platform. Help them understand their data and gain actionable insights.
NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support.
Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention.
Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing’s capabilities with the customer’s business goals and objectives.
Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base.

Required Skills / Experience:

Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field.
7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry.
Experience navigating complex enterprise sales environments with multiple priorities and stakeholders
Strong analytical skills with a proven ability to solve complex problems using data.
Excellent communication and interpersonal skills, with a knack for building trust and driving engagement.
Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention.
Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery)
ETL experience
Experience implementing production business intelligence solutions
Startup experience

Additional Job details

The base salary range for this position is $132k – $165k 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 a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.

If you do not feel that you satisfy all the listed requirements, we encourage you to still apply.

About us:

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

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 Computing 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, or veteran 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, and London.

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 USA, the UK, and Canada).

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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