Teams at Sunset

Owns large-scale data projects for frontier AI labs from scoping through delivery. The role translates research needs into data specifications, quality requirements, metrics, and timelines; manages client relationships; coordinates partner companies and internal teams; removes blockers; and ensures high-quality execution. Success requires strong project ownership, analytical ability, communication skills, and comfort working with technical and research stakeholders in ambiguous, high-pressure environments.

Replay invites talented candidates who do not see a conventional role that fits to describe what they have built, what they would like to own, and how they could improve the company. The opportunity is open-ended and may involve creating a function or role aligned with Replay’s data-focused business and rapid growth.

Design and operate backend systems for high-volume, multi-stage data pipelines that de-identify sensitive enterprise data. Own versioned contracts, lineage, state transitions, retries, replay, reconciliation, verification, migrations, and safe recovery. Diagnose production behavior across services and storage, improve correctness and throughput, and build auditable release controls. Collaborate with ML, data, platform, security, product, and customer-facing teams while using AI tools with deterministic safeguards and human review.