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Serve as technical presales advisor for Sigma: run discovery sessions, build and present customized demos and prototypes, respond to RFPs/RFIs, advise on integration/data migration, manage multiple engagements, and support sales to meet quarterly objectives.

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.