Jobs in the United States

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Added 2 mins ago
Senior Solutions Engineer, Observe
Snowflake
Remote, United States
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent…
Added 6 mins ago
Senior Snowflake Data Engineer
Strategic Staffing Solutions
San Antonio, TX
Seeking a Senior Snowflake Data Engineer for an approximately six-week engagement to deliver a targeted data-sharing pilot between P&C First Line of Defense (FLOD) and P&C Risk Second Line…
Added 10 mins ago
Azure Data Architect
Cognizant
Duluth, GA
…and artificial intelligence platforms using Azure Databricks SNOWflake in a hybrid work model. The architect will define scalable solutions guide complex implementations and ensure…
Added 10 mins ago
Senior Data Analyst
Fiserv
Alpharetta, GA
Strong working knowledge of data platforms such as Databricks, Snowflake & Azure or NoSQL Databases
Added 11 mins ago
Information Technology Director
Graphic Packaging International, LLC
Atlanta, GA
Added 22 mins ago
Analytics Engineer
Wellthy
United States
Use a modern data stack of Fivetran, Snowflake, dbt, Hightouch, Snowplow, DeepNote, Metaplane, and Omni
Added 22 mins ago
IG
Data Engineer
Insight Global
Remote, United States
- $81,120 to $120,000 USD / year
- Relevant SQL, Python, AWS, Azure, Snowflake, Epic, Talend, or data management certifications.
Added 24 mins ago
Senior Snowflake Data Engineer
Strategic Staffing Solutions
San Antonio, TX
Seeking a Senior Snowflake Data Engineer for an approximately six-week engagement to deliver a targeted data-sharing pilot between P&C First Line of Defense (FLOD) and P&C Risk Second Line…
Added 25 mins ago
Analyst, Data Engineering
Bank OZK
Little Rock, AR
Experience with a cloud-based data platform, such as Snowflake, preferred.
Added 25 mins ago
K
Snowflake Platform Engineer
Kforce
Minneapolis, MN
- $51 to $69 USD / hour
Kforce has a client that is seeking a Snowflake Platform Engineer in Minneapolis, MN.
Added 38 mins ago
Analytics Data Integration Developer Senior
UPMC - Pittsburgh Medical Center
Remote, United States
UPMC Health Plan is hiring a full-time Senior Analytics Data Integration Developer to join the Medicare/SNP Stars Team. This is a remote position working Monday through Friday. Candidates…
Added 44 mins ago
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Data Governance Engineer
TEKsystems
Glendale, CA
- $80 to $84 USD / hour
security tool stack: Snowflake Horizon and native Snowflake security features, Immuta for access
Added 46 mins ago
Applied Artificial Intelligence Scientist III
L.A. Care Health Plan
Los Angeles, CA
Work directly with cloud-based data and AI platforms (e.g., Snowflake, Azure ML, Databricks) to operationalize model delivery and integration with enterprise data assets.
Added 48 mins ago
Senior Machine Learning Engineer
DK Crown Holdings Inc.
Boston, MA
…guide engineers at different experience levels. Experience with Snowflake, machine learning serving infrastructure, cloud cost optimization, or AI-powered developer tooling is a…
Added 49 mins ago
Data Engineering Leader, Workforce Benefits
Pacific Life Insurance Company
United States
Experience with the latest data management and orchestration technologies including Snowflake and dbt.
Added 49 mins ago
X
Enterprise AI and Data Architect
Xplor
Remote, United States
- $173,000 to $193,000 USD / year
Set enterprise data standards on Snowflake: semantic layer, governed metrics, data contracts, quality rules, lineage, retention and deletion
Added 49 mins ago
Health Plan Developer II - Enterprise Data Reporting
Medica
Minnetonka, MN · Omaha, NE · St Louis, MO · Madison, WI
Experience with cloud-based technologies such as Snowflake strongly preferred.
Added 50 mins ago
IG
Gen AI Developer
Insight Global
Oakland, CA
- From $90 USD / hour
Strong experience with Snowflake and cloud-based data environments.
Added 1 hour ago
Data Scientist Lead-Vice President
JPMC page
New York, NY · NY
…capabilities enabled through the leading data platforms (e.g., Snowflake, Databricks, AWS,…
Added 1 hour ago
Lead Software Engineer - Data Engineering & Platform
CAI Cox Automotive Corp Svcs., LLC
Dallas, TX
…build and evolve cloud-native data platforms using Python, Snowflake, NoSQL databases, ETL/ELT frameworks, and AWS services (ECS, Lambdas, SQS, DynamoDB, Step Functions, RDS). You'll drive…
Added 1 hour ago
SC
Enterprise Solution Engineer - East
Sigma Computing
Boston, MA · NY
- $160,000 to $180,000 USD / year
Cloud data warehouse experience - Snowflake, Redshift, BigQuery
Added 1 hour ago
SC
Digital Customer Success Manager
Sigma Computing
San Francisco, CA · NY
- $100,000 to $118,000 USD / year
…analytics, AI apps, and agents directly on governed warehouse data (Snowflake, Databricks, BigQuery, and more), using chat, a spreadsheet interface, SQL, or Python. In this role, you'll own…
Added 1 hour ago
Senior Staff AI / ML Solutions Engineer
Thermo Fisher Scientific
Morrisville, NC
Experience with cloud services and data platforms such as AWS, Azure, Snowflake, or Databricks.
Added 1 hour ago
Executive Director – Head of Finance Transformation, Data & AI
JPMC page
Brooklyn, NY
Data & Analytics: Python, SQL, data modeling/architecture, data governance & quality frameworks, cloud data platforms (e.g., Snowflake/Databricks/Azure), BI/visualization (Power BI/Tableau).
Added 1 hour ago
Enterprise Architect
Skyflow
Remote, United States
- Advise customers operating in complex data environments, including modern data platforms such as Databricks and Snowflake, multi-cloud deployments, legacy modernization, and large-scale…

Sigma Computing

Digital Customer Success Manager

San Francisco, CA, United States
NY, United States

$100,000 to $118,000 USD / year

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Job details

Pay: $100,000 to $118,000 USD / year
Experience: 4+ years of customer success experience in SaaS, with a track record managing high-volume customer portfolios
Posting language: English
Posted: Nov 5, 2026

Original job description

Digital Customer Success Manager

This is an in-office role based out of our New York and San Francisco office.

About the Role

Sigma Computing is hiring a Digital Customer Success Manager to help scale success across our growing commercial book of business. Sigma is the AI runtime for business - a platform where teams build and run analytics, AI apps, and agents directly on governed warehouse data (Snowflake, Databricks, BigQuery, and more), using chat, a spreadsheet interface, SQL, or Python. In this role, you'll own a high-volume portfolio of mid-market customers who are leveraging Sigma to move from static dashboards to live, AI-powered workflows.

Success in this role is about smart prioritization. With a large book of accounts, you'll use data-driven signals and automation to focus your attention where it drives the most impact: accelerating adoption, surfacing expansion opportunities, and mitigating churn before it happens.

Key Responsibilities

Manage a high-volume portfolio of mid-market accounts through scalable engagement models (automation, self-service resources, and direct outreach), delivering a consistent, high-quality customer experience at scale
Drive rapid time-to-value through efficient coordination of self-serve onboarding, training, and enablement programs
Monitor customer health dashboards and use leading and lagging indicators (product adoption, feature utilization, active user growth, support ticket patterns, and time-to-value) to identify churn risk and expansion readiness
Apply cohort analysis and customer segmentation to identify trends and optimize engagement strategies across your portfolio
Develop and deliver targeted customer communications that enable self-service success and reduce reliance on direct touchpoints
Conduct focused customer meetings tied to specific outcomes: risk mitigation, expansion, or renewal
Use deep product knowledge to drive adoption of Sigma's features, including AI capabilities, and identify relevant use cases and upsell opportunities for each customer's context
Collaborate with Sales, Support, and Product to ensure clean handoffs and fast issue resolution
Contribute to the development and ongoing maintenance of scalable playbooks, templates, and resources that the broader CS team can leverage

Required Qualifications

4+ years of customer success experience in SaaS, with a track record managing high-volume customer portfolios
Demonstrated ability to analyze customer usage data and translate insights into action
Proficiency with customer success platforms (e.g., Gainsight, Vitally, Totango) and the analytics workflows that support them
Experience building or refining repeatable playbooks and scalable CS processes
Familiarity with data analytics and business intelligence concepts; you don't need to be a data engineer, but you should be comfortable talking to customers about their data workflows
Strong project management skills with the ability to run multiple workstreams simultaneously without dropping context
Excellent written and verbal communication, particularly in asynchronous and digital-first settings
Bachelor's degree in Business, Computer Science, or a related field

Preferred Qualifications

Experience with analytics or BI platforms (Tableau, Looker, Power BI, or similar); bonus if you've used or sold a product that sits on top of a cloud data warehouse
Familiarity with AI agents, AI apps, or AI-powered workflows in a business context; ideally you've helped customers adopt or get value from these tools
Basic SQL knowledge and comfort with data concepts
Experience building customer health scores and success metrics frameworks

Compensation & Benefits

The base salary range for this position is $100,000 – $118,000 annually. Actual compensation may vary based on a candidate's qualifications, skills, and experience. Base pay is one component of Sigma's total compensation package, which also includes variable pay (tied to goal achievement), stock options, and a comprehensive benefits package.

We encourage you to apply even if you don't meet every listed requirement.

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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