Jobs at Sigma Computing

Lead customer marketing: build a repeatable proof engine to turn customer outcomes into case studies, videos, reviews, and references; run advocacy, CAB, speaker programs, event customer voice, and distribute proof across GTM using AI-first tooling.

Lead technical onboarding and deployment for new customers: configure environments and data connections, coach users, implement BI best practices, optimize performance, secure SSO/row-level access, enable embedded analytics and migrations, manage milestones and handoffs, and produce documentation and feedback for product and support teams.

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.

Manage and grow strategic enterprise accounts in the Upper Midwest by driving product adoption, maximizing Net Dollar Retention, delivering analytics-led guidance, advocating customer needs to product teams, creating success plans, and running training and enablement to increase engagement and reduce churn.

Lead AI product marketing for Sigma: own positioning, go-to-market strategy, and launches for AI capabilities (LLMs, agentic workflows, coding agents). Partner with product, engineering, and sales to create messaging, enablement, thought leadership, and competitive intelligence that drives pipeline and wins enterprise AI deals.

Lead editorial strategy and run the Sigma blog end-to-end: edit technical blog content, enforce brand and editorial standards, manage AEO/SEO operations, coach contractors and internal SMEs, support executive ghostwriting, and collaborate with PMs and engineers to ensure accuracy. Drive content strategy, mentor contributors, and scale systems for consistent, high-quality content and organic growth.

Lead and grow a team of Support Engineers for a cloud data warehouse analytics product (Sigma). Hire, mentor, and train staff; own support metrics (CSAT, IR, SLA, TTR); improve processes; collaborate cross-functionally; analyze support data to drive product and operational improvements.

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.

Lead technical presales by discovering customer needs, building and presenting customized BI demos and prototypes, responding to RFPs/RFIs, supporting integrations and data migrations, and managing multiple customer engagements to drive adoption and sales.

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).

Serve as a post-sales technical expert for Sigma, advising customers on BI best practices, performance, security, embedded analytics, APIs and ETL. Design and implement tailored analytics solutions, capture product feedback, troubleshoot complex issues, collaborate with Product and Engineering, and support account growth and renewals while creating customer references.

Drive new customer acquisition and revenue by owning the full sales cycle from discovery to contract. Use Salesforce to manage pipeline and forecasts, engage partners, demo product, generate pipeline, and advocate for Sigma in the BI/data analytics market.

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.

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.

Build and maintain observability platforms (metrics, logging, tracing, dashboards, alerting). Use Go, OpenTelemetry, and Kubernetes. Participate in on-call rotation, optimize cloud triage, define measurability best practices, and collaborate on design and code reviews while coding most of the time.

Drive new customer acquisition and revenue across EMEA by managing the full sales cycle (discovery, demo, POC, proposal, contract), maintaining accurate Salesforce records, leveraging BI/data analytics domain knowledge, collaborating with partners and team members, and meeting pipeline and quota targets.

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.

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.

Provide customer-facing technical support for the Sigma SaaS platform: diagnose and resolve complex SQL and data issues, collaborate with product and engineering, develop diagnostic tools and best practices, participate in on-call rotation and cross-functional improvement projects.

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.