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Mid-level program manager, metro location, broad cross-functional requirements, and common title drive high competition.
Core program management skills transfer well but AI/annotation and geospatial context demand domain familiarity.
Explicit 5+ years plus startup, automation, and vendor management requirements moderately narrow the shortlist.
Lead and scale AI Data Ops by introducing automation-first, process-driven operating models for satellite and remote sensing imagery annotation and processing.
Own program governance, vendor performance frameworks, and cost-efficiency roadmaps to improve operational efficiency and vendor management.
Develop and maintain org-wide SOPs, dashboards, and KPIs for throughput, quality, SLA, and cost to provide leadership with actionable insights and structured operations.
5+ years experience in program/project management, business operations, or management consulting, ideally including automation, vendor management, and cost optimization.
Hands-on experience working in a startup environment is mandatory.
Proven ability to build metrics and automation programs from scratch and manage external vendor SLAs.
Strong data skills to build dashboards and business cases independently.
Experienced in managing cross-functional initiatives at scale with a focus on automating manual workflows and reducing operational complexity.
Comfortable operating at the intersection of strategy, operations, vendor management, and data science delivery within technology or AI-focused environments.
Skilled in building structured program governance, vendor scorecards, and cost control frameworks, ideally with some exposure to geospatial or imagery-based operational contexts (not mandatory).