Jobs at Sigma Computing

Enterprise sales role targeting Mid-Market digital-native accounts in New York. Own the full sales cycle—prospect, qualify, demo, proof of concept, negotiate, and close—while maintaining accurate pipeline and forecasts in Salesforce. Collaborate with partners and internal teams, travel ~25% across New York and the East Coast, and drive new revenue and customer advocacy in the business intelligence and data analytics space.

Lead design and scaling of an enterprise GRC program. Build governance frameworks, run ERM processes, manage third-party risk, and own audit/certification programs (SOC 2, ISO 27001, HIPAA). Support compliance monitoring, security awareness, business continuity, and customer security inquiries to enable sales and protect organizational risk posture.

Manage the full contract lifecycle for commercial agreements, maintain the contract database and templates, support legal operations and General Counsel initiatives, implement process improvements and KPI tracking, and collaborate with finance, operations, and external counsel.

Lead revenue operations for a high-growth B2B SaaS sales organization: own operating rhythms, annual planning, strategic diagnostics, pipeline hygiene, territory and coverage models. Embed with VP-level sales leadership to shape strategy, deploy AI-native and LLM-powered automation to remove repetitive work, and provide concise, actionable recommendations to senior leadership.

Build and maintain compiler infrastructure that converts spreadsheet interactions into optimized SQL for cloud warehouses. Design IRs, apply query optimizations, work in Rust and TypeScript, debug complex issues, and collaborate on architecture and product features.

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.

Build elegant, responsive front-end user experiences using modern frameworks. Own significant product features from design to launch, collaborate with product, UX, and backend teams, create interactive visualizations for structured and unstructured data, and optimize performance and interactivity for large-scale data applications.

Design, prototype, and productionize AI/ML systems (recommendations, NL interfaces, agentic workflows). Build and scale ML infrastructure, partner with product/design/engineering, and solve UX problems at the intersection of AI and BI.

Provide customer-facing technical support for Sigma's 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 projects to improve support operations and automation.

Design, build, and maintain backend distributed services and APIs for an interactive data-warehouse-backed platform. Use Rust/Go/Node/GraphQL and Kubernetes, triage and debug production issues, optimize systems and SQL, and collaborate in design and code reviews to support a fast-growing cloud application and user base.

Build and maintain backend distributed services and APIs for an interactive data platform. Debug, triage, and resolve system issues, design and implement features, and collaborate on design and code reviews to support a growing cloud application and user base.

Sell Sigma's data and analytics platform to new customers in NYC. Manage full sales cycle, maintain Salesforce pipeline and forecasts, collaborate with partners, generate revenue, and build customer advocates.

Join Sigma's New Grad temp-to-hire program to build production software across frontend SPAs and backend systems. Work with mentors to design, implement, test, and deploy features, optimize performance, and collaborate with product, design, and other teams to deliver data visualization and analytics capabilities.

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.

Conduct outbound prospecting and cold calls, qualify and educate target accounts, partner with Account Executives to create sales-ready opportunities, use Salesforce/Outreach/ZoomInfo/LinkedIn for workflows, and consistently meet a quota of 10 qualified demos per month.

Design, prototype, and productionize AI systems (recommendations, natural language interfaces, agents). Partner with product and engineering to identify AI opportunities, build scalable ML infrastructure, and manage the full ML lifecycle from data curation through training, deployment, and monitoring.

Design and implement elegant, responsive frontend features and visualizations using React, GraphQL, TypeScript, and Node.js. Own significant product areas from design through launch, optimize performance and interactivity for large-scale data, and collaborate with product, UX, and backend teams to simplify the experience for non-technical users.

Build and deliver cloud-first, interactive data exploration features. Develop backend and infrastructure components using Rust/Go/GraphQL/Kubernetes, improve multi-tenant performance and interactivity, design new features and algorithms, and collaborate with cross-functional teams to scale a cloud analytics product.

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.

Own full-cycle technical recruiting for engineering roles: source passive candidates, build pipelines, partner with engineering leaders, manage Greenhouse data, and drive hiring strategies to meet growth goals.