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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.

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 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 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.

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.