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Lead design and evolution of scalable data models and ETL/ELT pipelines, own Looker/LookML BI layer, ensure data quality/governance, collaborate with data science, and drive company-wide analytics strategy.

Work in a cross-functional team to design, build, and own backend features and services (primarily Python/Django), implement A/B tests, ensure monitoring and reliability, troubleshoot production issues, and guide technical decisions to improve quality and scalability.

Lead technical direction across platform squads, ship and operate critical platform services, improve CI/CD and delivery workflows, drive reliability (SLOs, observability, runbooks), remediate production issues, mentor engineers, and participate in on-call and incident response to raise platform quality and developer experience.

The role involves owning operational processes for the Data & Applied AI team, ensuring alignment, tracking project delivery, and improving team efficiencies while working closely with the VP.

Seeking a Senior Machine Learning Platform/Ops Engineer to productionize ML systems with reliability, collaborating with teams to enhance ML lifecycle from training to deployment.