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.

Conduct original AI/ML research in search, recommendations, NLP, and agentic workflows; prototype and productionize AI systems; address AI, analytics, and data-app UX challenges; and help build scalable infrastructure for model experimentation, training, and evaluation. The role requires a current AI/ML PhD student with strong machine learning expertise and knowledge of the full ML lifecycle.

Software Engineering Interns will design, prototype, implement, test, and deploy production features for Sigma’s cloud analytics platform. They will collaborate with engineers, product managers, designers, sales, and users; build scalable frontend and backend systems; optimize performance; document work; and use customer metrics to improve development decisions. The internship is full-time, 12 weeks, and in person in San Francisco or New York.

Build, prototype, test, and deploy production software features for Sigma’s cloud analytics platform. Interns collaborate with engineers, product managers, designers, and users; develop scalable frontend or backend systems; optimize performance; create automated unit tests; document work; and use customer metrics to improve product decisions. The role includes owning a development project from ideation through implementation while working full-time in person for 12 weeks.

Conduct original AI/ML research across search, recommendations, NLP, and agentic workflows. Prototype and productionize AI systems, address AI and analytics UX challenges, and contribute to scalable infrastructure for model experimentation, training, and evaluation. The role requires a current AI/ML PhD student with strong machine learning knowledge and an understanding of the end-to-end ML lifecycle, including data curation, training, deployment, and monitoring.

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.

Provides post-sales technical expertise for Sigma customers by designing and implementing business intelligence solutions, advising on analytics best practices, performance, security, embedded analytics, APIs, and data integrations. Partners with customers, Product, Engineering, and GTM teams; troubleshoots deployed solutions, documents implementations, captures product feedback, identifies expansion opportunities, supports renewals, and develops customer references. Requires extensive customer-facing BI experience and up to 50% travel.

Leads enterprise customer success strategy, operations, and CSM teams to drive customer value, adoption, retention, expansion, and growth. Develops scalable post-sales processes, monitors customer health and business metrics, mentors high-performing teams, manages escalations, and builds feedback loops with Sales, Product, Engineering, and Support. Owns NDR and quarterly objectives while driving organizational change, customer advocacy, and referenceability.

Provides post-sales technical expertise for Sigma customers, advising on analytics implementation, performance, security, embedded analytics, APIs, data warehouses, and ETL. Designs and develops tailored business intelligence solutions, troubleshoots deployed systems, documents implementations, captures product feedback, identifies account-growth opportunities, and collaborates with Product and Engineering teams. The role requires extensive customer-facing business intelligence experience and up to 50% travel.

Own and grow a portfolio of system integrator partners across EMEA. Develop go-to-market activities, increase partner-sourced revenue, coordinate co-selling with sales teams, recommend partners for customer services engagements, build executive relationships, resolve partner issues, and represent Sigma at industry events. The role requires strategic channel management, strong sales instincts, data ecosystem knowledge, and frequent regional travel.

Leads a team of Support Engineers serving enterprise data-platform customers. Responsibilities include hiring, coaching, escalation management, support strategy, cross-functional collaboration, process improvement, and performance against CSAT, SLA, response, and resolution metrics. The manager will analyze support data, improve customer experience and operational efficiency, and maintain technical expertise in databases, business intelligence, SQL, data modeling, and cloud data warehouses.

Manage strategic SaaS customer accounts across EMEA, helping clients maximize Sigma Computing's analytics platform value. Responsibilities include improving net dollar retention through upselling, cross-selling, churn reduction, success planning, customer advocacy, product adoption, and educational programs. The role requires analytics and business intelligence expertise, strong communication, account growth experience, and familiarity with SQL, ETL, cloud analytics platforms, and production BI solutions.

Prospect and qualify target accounts, conduct cold calls and outbound sequences, educate prospects, overcome objections, and create sales-ready opportunities. Partner with Account Executives, build trusted prospect relationships, use Salesforce, Outreach, ZoomInfo, LinkedIn, and Google Workspace, and meet a quota of six qualified demos monthly. This is an in-office role with a 25% travel expectation.

Own revenue operations for a rapidly scaling B2B SaaS sales organization. Responsibilities include operating rhythms, QBRs, annual planning, strategic diagnostics, pipeline analysis, AI-enabled workflow automation, and advising senior sales leadership. The role requires building scalable systems, identifying risks early, improving operational efficiency, and partnering directly with VP-level stakeholders.

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.