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Sigma Computing

Builds analytics apps on cloud warehouse data

AVP – Commercial and Scale Customer Success

Customer SuccessConfirmed live in the last 24 hours
Full-time$210k - $240k /yr

About the Job

Requirements

  • Proven leadership at scale, building and leading Customer Success teams of 20 or more as a manager of managers, with direct accountability for gross revenue retention and expansion outcomes, and developing teams and leaders.
  • Experience scaling Commercial Customer Success motions, including building or scaling efficient motions for mid-market, commercial, or small and medium-sized business segments in a high-growth software-as-a-service company, balancing digital and artificial-intelligence, one-to-many, and pooled programs with human-led relationship-driven engagement.
  • Experience building digital-only or hybrid engagement models from the ground up in close collaboration with Marketing and Product on in-product nudges, lifecycle campaigns, and self-serve engagement.
  • A data-first operating discipline that defines key performance indicators, builds reporting and dashboards, runs structured experiments, and uses data to make decisions.
  • Domain expertise in technical, data-centric products; analytics, business intelligence, or application platforms is preferred.
  • Hands-on artificial intelligence building experience, including building AI agents, automations, and/or apps.
  • Experience owning account risk and forecasting inputs in close partnership with Sales and Renewals.
  • Ability to work from Sigma’s San Francisco or New York office four days per week.

Responsibilities

  • Lead the Commercial, Scale, and Digital strategy by translating company goals into an operating plan, processes, and success metrics across all three segments.
  • Own gross and net revenue retention, adoption, time-to-value, and expansion outcomes through a key-performance-indicator-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 that deliver on company priorities and improve the team’s ability to predictably drive customer and revenue outcomes.
  • Build and deploy scaled, artificial-intelligence-driven capabilities, including agents, automations, self-serve journeys, webinars, and one-to-many workshops, to extend high-quality coverage across segments while offloading lower-value work and optimizing customer success manager-led engagement.
  • Evolve customer-facing engagement strategy and internal team capability in alignment with rapid product and artificial-intelligence-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 on expansion through account strategy alignment, upsell and cross-sell motions, and Customer Success Qualified Leads.
  • Partner cross-functionally with Product, Marketing, Support, Enablement, Operations, and Finance to drive programs and initiatives.
  • Hire, coach, and develop a team of Customer Success Regional Vice Presidents and Customer Success Managers; set the talent bar, develop leaders, and build a culture of accountability, continuous learning, and customer focus.

Desired Qualifications

  • Experience with analytics, business intelligence, or application platforms.

About the Company

Sigma Computing

Builds analytics apps on cloud warehouse data

Sigma Computing builds cloud analytics software for business and data teams that need to explore company data and turn findings into operational workflows. Its workbooks combine a spreadsheet interface with charts and dashboards, so teams work with live warehouse data without downloading separate copies. Users build applications for forecasting, approvals and other business processes, while administrators control access through the permissions of the connected data platform. The company sells subscriptions with licenses matched to whether users view reports, contribute data, analyze information or build applications. Founded in 2014, Sigma Computing is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series D
Total funding
$581.3M
Headquarters
San Francisco, CA
Founded
2014

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