Jobs at Sigma Computing

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 demos, presentations, RFP/RFI responses, and integration or data migration guidance. Partner with sales, product, engineering, and support teams while managing multiple customer engagements and meeting sales objectives. The role requires business intelligence, database, cloud data warehouse, ETL, and production BI implementation experience, with 25% travel.

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, guide customers toward business goals, negotiate contracts, facilitate business reviews, communicate customer insights, and improve internal processes. The role requires strong customer management, negotiation, objection handling, adaptability, and process-management skills.

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.

Owns an EMEA enterprise territory and full SaaS sales cycle, from prospecting through proposal, proof of value, negotiation, and contract closure. The role develops new revenue, maintains accurate Salesforce pipeline and forecasts, engages VP and C-level buyers, builds partner-generated pipeline, and develops customer advocates. It is London-based, requires four office days weekly, and involves approximately 25% travel across the UK and wider EMEA.

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.

Manage strategic enterprise customer relationships, drive net dollar retention through upselling, cross-selling, and churn reduction, and develop customer success plans. Guide customers in using Sigma Computing’s analytics platform, advocate for product improvements, and deliver training, webinars, and workshops. The role requires enterprise SaaS or analytics experience, strong data and business intelligence expertise, Spanish fluency, and on-site work in New York City.

Manage strategic enterprise accounts, improve net dollar retention, reduce churn, identify expansion opportunities, and guide customers in adopting Sigma’s analytics platform. Develop success plans, provide analytics and business intelligence expertise, deliver training and workshops, advocate for customer needs, and collaborate with product teams. The role requires SaaS or analytics experience, complex stakeholder management, SQL, ETL, production BI implementation, and startup experience.

Manage strategic enterprise customer accounts, improve net dollar retention, reduce churn, identify expansion opportunities, and guide customers in adopting Sigma’s analytics platform. Develop success plans, deliver training and educational programs, advocate for customer needs with product teams, and use analytics expertise to drive business outcomes. The role requires 7+ years in customer success, account management, or consultative SaaS, analytics, or business intelligence roles, with experience in enterprise environments and production BI implementations.

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.

Design, build, and operate production data pipelines and architectures across Snowflake and Databricks. Scale demo data across cloud warehouses, partner with infrastructure for high availability, implement data governance, and collaborate cross-functionally to support analytics and GTM 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.

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.

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.

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.