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Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

Lead and grow a team of Technical Program Managers who run customer data projects end-to-end: staffing cadence, project setup, throughput and margin tracking, AR/billing hygiene, Airtable as system of record, onboarding TPMs, operational playbooks, and escalation for delivery risk. Serve as a player-coach partnering with Deployment Leads, FDE Manager, and GMs to ensure projects are staffed and delivered reliably.

Own end-to-end delivery of complex customer AI deployment programs: scope, technical design, staffing, execution, and unit economics. Coordinate TPMs, engineers, and cross-functional teams; manage margin, risk, timelines, and quality. Establish operating cadence, dashboards, and playbooks to scale deployments and serve as the customer's primary delivery contact.

Lead and grow a team of Forward Deployed Engineers (FDEs) to scope technical data programs, design pipelines and measurement, write instructions, and ensure data quality. Own hiring, onboarding, staffing, craft standards, tooling for reuse, and cross-functional alignment to keep FDEs focused on high-level technical work and career development.

Own day-to-day execution of customer data projects: set up projects, onboard and orchestrate data trainers via Pod Leads, run calibration and staged ramps, track fulfillment and project margin, operate billing/AR, keep Airtable current, coordinate FDEs/FDRs, identify and mitigate delivery risks, and ensure on-time, quality delivery.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.