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Sigma Computing

AVP, Commercial and Scale Customer Success

Posted One Month Ago
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In-Office
San Francisco, CA, USA
210K-240K Annually
Expert/Leader
In-Office
San Francisco, CA, USA
210K-240K Annually
Expert/Leader
Lead the commercial and scaled Customer Success organization, developing enterprise retention and growth strategy, managing CSM teams, driving customer value and product adoption, and improving customer health across the lifecycle. The role owns NDR and MBO performance, builds customer advocacy, establishes cross-functional feedback loops, and leads change and operational scaling across the post-sales organization.
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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. 

HQ

Sigma Computing San Francisco, California, USA Office

116 New Montgomery St, San Francisco, CA, United States, 94105

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