2,110,899open jobs
133,619companies
242,631added this week
Browse all
Salary
$210k – $240k per year
Location
In office (New York, San Francisco)
Seniority
Architect
Visa
H-1B filings in 12 months: 39 · green card filings: 8

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Oct 3, 2026. Sigma Computing scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Sigma Computing is a cloud-native business intelligence and analytics software company headquartered in San Francisco, California, and founded in 2014. The company provides a platform that allows users to explore, analyze, and visualize live data from cloud warehouses using a familiar spreadsheet-like interface, SQL, or Python. It serves over 2,000 enterprises globally across industries such as finance, healthcare, and retail, integrating directly with major data warehouses like Snowflake, Databricks, and BigQuery.

About the Role

You'll drive customer outcomes and value through Sigma's analytics, apps, and agents platform, scaling the customer success team and practices to support our rapid growth. This is a retention and expansion-focused mandate for someone who's equal parts builder and scaler, strengthening what's working today and creating the capabilities we don't have yet.

As AVP, Customer Success Commercial & Scale, you'll own Commercial CSM, Scale (CSM + Digital), and Digital-only segments. You'll lead the team and build coverage strategies, segment-specific playbooks, and AI-driven, scaled capabilities (e.g., digital journeys, self-serve, one-to-many programs, webinars, etc.) that enable Sigma to serve a fast-growing customer base without linear headcount growth. The job is as much about instrumentation as it is about people: you'll run this org the way Sigma expects its own customers to run their business, with clear metrics, structured experiments, and decisions grounded in data rather than instinct.

You'll report to the SVP, Customer Success, and work closely with Sales, Renewals, Product, Marketing, Support, Enablement, Operations, and Finance to ensure Commercial, Scale, and Digital customers get full value from Sigma’s platform.

Responsibilities

  • Lead the Commercial, Scale & Digital strategy. Translate company goals into an operating plan, processes, and success metrics across all three segments.
  • Own the outcomes that matter (GRR/NRR, adoption, time-to-value, and expansion) with a rigorous, KPI-driven operating cadence and reporting.
  • Design segment-specific engagement models with repeatable and predictable onboarding, adoption, and expansion motions tailored to each segment's customers and economics.
  • Identify and drive programs and initiatives to deliver to company priorities and improve the team’s ability to predictably drive customer and revenue outcomes.
  • Build and deploy scaled, AI-driven capabilities (i.e., agents, automations, self-serve journeys, webinars, one-to-many workshops, etc.) that extend high-quality coverage across segments while offloading lower-value work to optimize CSM-led engagements.
  • Evolve both customer-facing engagement strategy and internal team capability in alignment with rapid product and AI-driven change.
  • Own risk management and escalations across Commercial, Scale, and Digital, identify at-risk accounts early, drive mitigation, and partner with Renewals on forecasting and renewal readiness.
  • Partner with Sales to drive expansion: alignment on account strategy, upsell/cross-sell motions, and Customer Success Qualified Leads (CSQLs).
  • Partner cross-functionally with Product, Marketing, Support, Enablement, Operations, and Finance to drive cross-functional programs and initiatives.
  • Hire, coach, and develop a team of CS Regional Vice Presidents (RVPs) and CSMs. Set the talent bar, develop leaders, and build a culture of accountability, continuous learning, and customer obsession.

Requirements

  • Proven leadership at scale with a track record of building and leading Customer Success teams of 20+ people as a manager of managers, with direct accountability for retention (GRR) and expansion outcomes, and developing teams and leaders.
  • Experience scaling Commercial CS motions, including building or scaling efficient CS motions for mid-market/commercial/SMB segments in a high-growth SaaS company, balancing scaled programs (digital/AI, one-to-many, pooled) with the human-led, relationship-driven motion these segments require.
  • Experience building digital-only or hybrid engagement models from the ground up with close collaboration with Marketing and Product on in-product nudges, lifecycle campaigns, and self-serve engagement.
  • Rigorous, data-first operating discipline. Treats CS as a measurable system: defines KPIs, builds reporting and dashboards, runs structured experiments, and makes decisions from data as a default, not an exception.
  • Domain expertise in technical, data-centric products. Analytics, business intelligence, or application platforms preferred.
  • Hands-on AI builder with experience building AI agents, automations, and/or apps.
  • Experience owning account risk and forecasting inputs in close partnership with Sales and Renewals functions.
  • Excellent cross-functional communication and influence, including Sales, Product, Marketing, Support, RevOps, and Finance.
  • Willing to work from Sigma's San Francisco or New York office 4 days per week.

Additional Job details

The base salary range for this position is $210k - $240k 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 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. 

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,110,899 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Customer Success
Similar stack
Same company
New York
$150k – $160k per year · Remote (United States) · Full-Time · 8+ years exp · Bachelor's Degree · United States
Marketing
Salesforce
Apply
Remote (United States) · Full-Time · 5+ years exp · Bachelor's Degree
Apply
$60k – $70k per year · In office · Full-Time · 1+ year exp · Bachelor's Degree · Philadelphia
Apply
Remote (United States)
Apply
Remote (United States)
Apply
Data Scientist 12 days ago
$150k – $180k per year · Remote (likely United States) · Full-Time
Python
SQL
Databases
PostgreSQL
Redis
Snowflake
Amazon Redshift
AI/ML
Spark
Dagster
Prefect
Machine Learning
DevOps
Datadog
AWS
Analytics
ETL/ELT
Apply
Application Engineer 12 days ago
Remote (likely United States) · Full-Time · 5+ years exp
Python
C++
Julia
MATLAB
Julia
SciML
JuliaHub
AI/ML
AI Agents
Machine Learning
Apply
$260k – $400k per year · Remote (likely United States) · Full-Time
AI/ML
AI Agents
Agentic Workflows
DevOps
CI/CD
QA
Selenium
Cypress
Playwright
Pytest
Apply
Remote (United States) · Full-Time
JavaScript
AI/ML
AI Agents
LLM
Text-to-Speech
DevOps
Rest API
WebRTC
SOAP
Apply
≈ $78k – $159k per year (Estimated) · Remote (likely Canada) · Full-Time · 6+ years exp
Python
SQL
AI/ML
Hadoop
AI Agents
Machine Learning
Analytics
Tableau
Apply
$110k – $135k per year · Equity · In office · 4+ years exp · Bachelor's Degree · New York
Python
SQL
Databases
Snowflake
Databricks
Google BigQuery
Amazon Redshift
AI/ML
Spark
Analytics
ETL/ELT
Management
ServiceNow
Apply
$130k – $230k per year · Equity · Remote (United States) · 10+ years exp · Bachelor's Degree · New York
Python
JavaScript
TypeScript
SQL
Databases
Snowflake
Databricks
Google BigQuery
Amazon Redshift
AI/ML
Spark
Frontend
GraphQL
React.js
DevOps
GitHub
Analytics
ETL/ELT
Management
ServiceNow
Apply
$210k – $240k per year · Equity · In office · San Francisco · New York
Python
SQL
Databases
Databricks
AI/ML
Spark
AI Agents
Management
ServiceNow
Apply
$132k – $165k per year · Equity · In office · 7+ years exp · Bachelor's Degree · New York
Python
SQL
Databases
Snowflake
Databricks
Google BigQuery
Amazon Redshift
AI/ML
Spark
Analytics
ETL/ELT
Management
ServiceNow
Apply
$100k – $125k per year · Equity · In office · 4+ years exp · Bachelor's Degree · San Francisco
Python
SQL
Databases
Snowflake
Databricks
Google BigQuery
Amazon Redshift
AI/ML
Spark
Analytics
ETL/ELT
Management
ServiceNow
Apply
Equity · In office · 4+ years exp · Bachelor's Degree · San Francisco · New York
Python
SQL
Databases
Snowflake
Databricks
Google BigQuery
AI/ML
Spark
AI Agents
Analytics
Tableau
Power BI
Looker
Management
ServiceNow
Apply
$203k – $280k per year · In office · Full-Time · 5+ years exp · Bachelor's Degree · Fort Lauderdale · Louisville · Dallas · Chicago · New York
Apply
In office · Full-Time · 4+ years exp · High School Diploma · Stamford · Chicago · Orlando · San Francisco · Dallas
Marketing
Salesforce
Apply
$105k – $135k per year · In office · Full-Time · 7+ years exp · Bachelor's Degree · Los Angeles · New York
Apply
LPN Supervisor 4 hours ago
In office · Full-Time · 1+ year exp · New York
Apply
See all jobs
This is one of many
2,110,899 more open roles from verified company boards, updated every day.