×
Register Here to Apply for Jobs or Post Jobs. X

Commercial Customer Success Manager

Job in New York City, Richmond County, New York, USA
Listing for: Sigma Computing
Full Time position
Listed on 2026-01-25
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
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.

This is an in-office role based out of the New York office.

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.

* 4+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry.

* 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, Big Query)

* ETL experience

* Experience implementing production business intelligence solutions

* Startup experience

Additional Job details

The base salary range for this position is $100k - $125k 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.

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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary