Jobs at Sigma Computing

Manage daily New York office operations to create a people-first workplace: coordinate cross-functional partners, plan events and Day-1 onboarding, manage vendors, budgets, inventory, building liaison duties, and health & safety processes. Proactively solve operational issues, implement process improvements, and drive projects to completion to enhance employee experience.

Manage a high-volume portfolio of mid-market SaaS customers using scalable engagement models. Drive adoption and time-to-value via self-serve onboarding, training, and automation. Monitor customer health metrics to identify churn risk and expansion opportunities, run cohort and segmentation analysis, deliver targeted communications, and collaborate with Sales, Support, and Product to enable fast issue resolution and scalable playbooks.

Lead design and execution of sales productivity and ramp programs for enterprise and commercial teams. Build and maintain ramp reporting dashboards, analyze sales KPIs, collaborate cross-functionally with GTM stakeholders, manage enablement content and projects, and present insights to sales leadership to accelerate seller productivity.

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.

Lead technical onboarding and deployment for new customers: configure environments and data connections, coach users, implement BI best practices, optimize performance, secure SSO/row-level access, enable embedded analytics and migrations, manage milestones and handoffs, and produce documentation and feedback for product and support teams.

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.

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.

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 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.

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.

Lead enterprise implementations from kickoff to production by connecting Sigma to customer data platforms, modeling data, configuring security, and building production-grade workbooks, data apps, input tables, and automated workflows. Embed with customer teams, run technical sessions, monitor performance, document/escalate issues, create reusable assets, mentor peers, and travel up to 25% to customer sites.

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.

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.

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.

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.

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.

Sell Sigma's data and analytics platform to new customers in NYC. Own the full sales cycle from outreach to contract, generate pipeline, maintain Salesforce records, collaborate with partners and team members, and meet quota by bringing on new customers and building advocates.

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.

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.

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.