Top Tech Jobs & Startup Jobs

Provide employment law counsel across the company including onboarding, performance management, terminations, workplace investigations, policy drafting, compliance with U.S. (and where applicable international) employment laws, manage outside counsel and litigation, partner with People Ops and GRC on training and policy implementation, and support employment matters for M&A and due diligence.

Sell Sigma's analytics platform to new customers in the Bay Area. Manage the full sales cycle, generate pipeline, maintain Salesforce records, collaborate with partners, and meet quota. Engage consultatively with data and analytics stakeholders to close deals and build customer advocates.

Sell Sigma's data and analytics platform by owning the full sales cycle, generating pipeline, managing forecasts in Salesforce, engaging partners, closing new customers, and developing customer advocates in the BI market.

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.

Build and productionize AI systems and infrastructure that power customer-facing features and internal tooling. Partner with product, design, and engineering to identify high-impact ML opportunities, prototype solutions (recommendations, NL interfaces, agents), and manage the full ML lifecycle from data curation to deployment and monitoring.

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.

Design, prototype, and productionize AI systems and infrastructure—recommendations, natural language interfaces, agentic workflows—partnering with product and engineering to scale ML across the full lifecycle (data curation, training, deployment, monitoring).

Drive new customer acquisition and revenue by owning the full sales process, maintaining Salesforce pipeline and forecasts, engaging partners, conducting demos/proofs of concept, and building customer advocates in the data analytics/BI market.

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 and build high-performance interactive analytics features across the stack. Implement new algorithms, triage and resolve production issues, collaborate with cross-functional teams, and ship secure web applications using modern languages and tools to scale for large enterprise customers.