Jobs at Sigma Computing

Own end-to-end sales commission calculation, validation, and payout processing. Administer compensation platform and integrations (CRM, HRIS, ERP), manage quota/crediting rules, produce documentation and reports, and partner with Finance, Sales Ops, HR, and Data to improve accuracy and automate processes.

Develop positioning and messaging for Sigma’s AI features, create sales enablement materials, support product launches, research competitors, write thought leadership content, synthesize customer insights, and ensure consistent AI messaging across campaigns, websites, and events. The role partners closely with product, sales, design, demand generation, and content teams in a fast-moving B2B software environment.

Own revenue accounting processes, including revenue close, recognition, deferred and unbilled revenue, contract review, billing, sales tax compliance, reconciliations, controls, and audits. Partner cross-functionally on complex arrangements, systems enhancements, and process improvements in a SaaS environment. Serve as a revenue recognition subject-matter expert, provide financial insights, and mentor Revenue team members.

Manage technical presales activities for enterprise customers, including discovery workshops, solution prototypes, customized demonstrations, presentations, RFP/RFI responses, and integration or data migration discussions. Partner with sales, product, engineering, and support teams to communicate business value, support concurrent customer engagements, and achieve sales objectives. The role requires business intelligence, database, cloud data warehouse, ETL, and production BI implementation experience, with 25% travel.

Manage post-sales renewals and expansion opportunities for corporate customers. Build stakeholder relationships, partner with Customer Success to reduce attrition and increase adoption, develop customer growth strategies, facilitate business reviews, negotiate contracts, communicate customer insights, advocate for customer needs, and improve internal processes and playbooks.

Leads and coaches a Commercial Solution Engineering team while remaining hands-on in discovery calls, demos, roadmap presentations, customer engagements, and executive meetings. Partners with Sales, Customer Success, Product, Marketing, and channel teams to grow revenue. Oversees forecasting, deal strategy, hiring, capacity planning, performance management, technical responses, and team objectives while ensuring high-quality consultative selling and customer-focused solutions.

Manage high-value SaaS customer accounts, build relationships with decision-makers, and improve net dollar retention through adoption, upselling, cross-selling, and churn reduction. Use analytics and business intelligence expertise to guide customers, develop success plans, advocate for product improvements, and deliver training, webinars, and workshops. Partner with customers to align the platform with business goals and drive measurable value.

Design and maintain production data pipelines and architecture across Snowflake and Databricks, scale Terraform deployments, implement data governance, build demo data processes, and collaborate cross-functionally to support analytics and product use cases.

Build and maintain scalable security platforms, automation, and tooling to protect data across SaaS, cloud, endpoints, collaboration tools, AI systems, and data warehouses. Develop data discovery, classification, governance, DLP, DSPM/SSPM, insider-risk, and access controls; leverage AI and automation to improve detection, prevention, and incident workflows while partnering with cross-functional teams.

Sell Sigma's analytics platform to new customers in the Bay Area. Manage the full sales cycle, generate pipeline, maintain Salesforce records, collaborate with partners, and meet quota. Engage consultatively with data and analytics stakeholders to close deals and build customer advocates.

Build and maintain compiler infrastructure that translates spreadsheet interactions into optimized SQL for cloud data warehouses. Design intermediate representations and apply query optimization strategies, contribute to backend (Rust) and frontend (TypeScript) foundations, debug complex issues, and collaborate with engineers and product stakeholders to drive architecture and feature development.

Design and implement backend distributed services and modern APIs to support a cloud application. Build and deploy robust, secure web applications, triage and resolve production issues, optimize SQL and database internals, and collaborate through design and code reviews using tools like Rust, Go, GraphQL, Node, and Kubernetes.

Design, prototype, and productionize AI systems and infrastructure—recommendations, natural language interfaces, agentic workflows—partnering with product and engineering to scale ML across the full lifecycle (data curation, training, deployment, monitoring).

Sell Sigma's analytics platform to mid-market digital-native accounts in the Bay Area. Manage full sales cycle from prospecting to close, perform deep account planning, maintain Salesforce pipeline and forecasts, run value-based discovery, collaborate with partners, and travel (~25%) for onsite meetings to drive new revenue and customer advocacy.

Sell Sigma's data and analytics platform by owning the full sales cycle, generating pipeline, managing forecasts in Salesforce, engaging partners, closing new customers, and developing customer advocates in the BI market.

Build and optimize high-performance interactive analytics features on modern data warehouses. Design and implement full-stack features, develop performance-improving algorithms, triage and debug system issues, and collaborate across infrastructure, product, design, and customer teams to support rapid user growth.

Act as technical presales advisor for Sigma's analytics platform: run discovery sessions, build and present customized demos and prototypes, support RFP/RFI responses, advise on integrations and data migration, manage multiple customer engagements, and meet quarterly and annual objectives in partnership with sales and product teams.

Design, build, and operate observability platforms (metrics, logging, tracing, dashboards, alerting, APM) using Go, OpenTelemetry, and Kubernetes. Participate in on-call rotation, improve uptime, create runtime/cloud triage tools, define measurement best practices, and collaborate through design and code reviews while spending most time coding.

Lead go-to-market strategy and messaging for Sigma Apps, translating product capabilities into buyer-focused narratives. Drive feature launches, sales enablement, competitive analysis, thought leadership, and customer case studies while partnering with Product, Engineering, Design, Marketing, and Sales to shape roadmap and field communications.

Lead and coach engineering teams to deliver roadmap-driven products. Collaborate with cross-functional and executive teams on product strategy, recruit and develop high-performing engineers, own execution and delivery, participate in architecture and implementation discussions, and translate user needs into optimized queries and technical solutions.