Jobs at Sigma Computing

Oversee employee benefits, leave administration, payroll coordination, HRIS management, compliance audits, 401(k) administration, employee relations support, and process improvement. The role requires collaboration with finance, legal, IT, HR business partners, benefits providers, and external vendors while ensuring accurate records and compliance with employment laws.

Manage strategic enterprise customer accounts for Sigma Computing, helping customers maximize analytics platform value and improve net dollar retention. Responsibilities include developing success plans, driving adoption, identifying upsell and cross-sell opportunities, reducing churn, advocating for customer needs, and delivering training and educational programs. The role requires strong analytics, SaaS or business intelligence experience, enterprise stakeholder management, SQL, ETL, and production BI implementation knowledge.

Support technical leaders across engineering, infrastructure, AI, product, design, and security. Advise on organizational design, leadership effectiveness, talent risks, employee relations, performance, compensation, engagement, and talent development. Coach managers, conduct investigations with Legal, lead people programs, analyze workforce data, and use AI tools to improve HR processes.

Manage technical presales activities for enterprise customers, including discovery workshops, solution prototypes, customized demonstrations, presentations, RFP/RFI responses, and integration guidance. Partner with sales, product, engineering, and support teams to communicate business value and support complex sales cycles. The role requires business intelligence expertise, database and cloud data warehouse knowledge, ETL experience, multitasking, customer relationship skills, and 25% travel.

Manage a high-volume portfolio of mid-market SaaS customers using scalable engagement, automation, onboarding, and customer education. Monitor product adoption and health signals to mitigate churn, identify expansion opportunities, and drive renewals. Analyze cohorts and customer usage data, create targeted communications, lead outcome-focused meetings, and develop reusable playbooks. Collaborate with Sales, Support, and Product to resolve issues and improve customer outcomes.

Manage a high-volume portfolio of mid-market SaaS customers using scalable engagement, onboarding, training, automation, and digital communications. Monitor health and usage data to identify churn risks, expansion opportunities, and adoption trends. Lead targeted customer meetings, promote AI and analytics use cases, coordinate with Sales, Support, and Product, and develop reusable customer success playbooks and resources.

Owns Sigma’s end-to-end sales compensation administration, including commission calculations, payout validation, quota and crediting mechanics, reporting, automation, controls, and audit readiness. The role partners with Finance, Revenue Operations, People, Payroll, Legal, and Data to resolve disputes, prevent payment errors, support accounting close, and improve seller visibility. Requires strong sales compensation, data validation, systems, and cross-functional influence skills, with experience in SaaS and consumption-based models preferred.

Manage strategic enterprise accounts across APAC, helping customers maximize value from Sigma’s analytics platform. Drive net dollar retention through adoption, upselling, cross-selling, churn reduction, and success planning. Build relationships with stakeholders, provide analytics guidance, advocate for customer needs, and deliver training, webinars, and workshops. The role requires SaaS or analytics experience, strong communication and analytical skills, account growth expertise, and familiarity with SQL, data visualization, cloud analytics platforms, ETL, and production BI solutions.

Build and maintain scalable security platforms, automation, APIs, detections, and internal tooling for a cloud-native SaaS environment. Secure AI applications, LLM services, identities, SaaS platforms, cloud infrastructure, and APIs. Develop controls against prompt injection, data leakage, model misuse, and excessive permissions while supporting vulnerability management, incident response, threat modeling, and security operations.

Manage high-value enterprise customer accounts across EMEA, helping customers maximize the value of Sigma’s analytics platform. Develop success plans, drive product adoption, deliver training, advocate for customer needs, and improve net dollar retention through upselling, cross-selling, and churn reduction. The role requires strong analytics and business intelligence expertise, enterprise stakeholder management, consultative communication, and experience with SaaS, SQL, cloud data platforms, ETL, and production BI implementations.

Manage strategic customer accounts for Sigma Computing, helping users maximize analytics platform value and improving net dollar retention. Responsibilities include developing success plans, identifying upsell and cross-sell opportunities, reducing churn, advocating for customer needs, delivering training, and guiding customers on analytics and business intelligence solutions. The role requires strong communication, analytical problem-solving, SaaS customer success experience, and familiarity with SQL, ETL, data visualization, and cloud analytics platforms.

Manage technical presales activities for enterprise customers, including discovery workshops, solution prototypes, customized demonstrations, webinars, and RFP/RFI responses. Partner with sales, product, engineering, and support teams to communicate the business value of Sigma’s cloud business intelligence platform. Advise customers on integrations, data migration, databases, cloud data warehouses, and ETL while managing multiple engagements and meeting sales objectives.

Manage technical presales activities for Sigma’s cloud business intelligence platform. Responsibilities include customer discovery, solution workshops, prototype development, customized demonstrations, presentations, RFP and RFI responses, and explaining product value. The role partners with sales, product, engineering, and support teams; advises prospects and customers on analytics, integrations, data migration, and cloud data warehouse solutions; and manages multiple enterprise engagements while meeting sales objectives.

Own EMEA revenue operations for international expansion, including market sequencing, territory design, capacity planning, operating rhythms, annual planning, pipeline management, forecasting, renewals, and upsell performance. Partner with senior sales leadership to diagnose regional risks, improve GTM efficiency, deploy AI-powered workflows, and coordinate multi-currency, partner, marketplace, legal, finance, and hiring requirements across European markets.

Technical Writing Interns will test product features and create clear, accurate documentation, tutorials, examples, release notes, diagrams, screenshots, and dynamic content. They will collaborate with engineers, designers, product managers, and writers; participate in planning and bug bashes; analyze customer feedback and metrics; publish content through a docs-as-code workflow; and complete an end-to-end documentation project during a 12-week, in-person internship.

Technical Writing Interns will test and document product features, create tutorials, examples, release notes, and visual content, and improve documentation for users and AI agents. They will collaborate with engineers, designers, product managers, and writers; participate in planning and feature testing; publish content through a docs-as-code workflow; analyze customer feedback and metrics; and own a documentation project from ideation through implementation.

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.