Sr. Technical Product Manager

EagleView is a leader in aerial imagery and geospatial intelligence, seeking a Sr. Technical Product Manager to define and scale their Geospatial Content Platform. This role involves identifying requirements for ML-derived datasets and ensuring the platform's scalability, security, and monetization capabilities.

Responsibilities:

• Define roadmap and requirements for the Content Platform supporting ML-derived content
• Establish requirements for data taxonomy, schema governance, versioning, and lineage
• Translate AI research outputs into production-grade, enterprise-ready platform capabilities
• Own creation of PRDs and structured requirements for ML derived features and attributes, confidence scoring, and quality frameworks
• Partner with ML, Data Engineering, and Architecture teams to ensure NFRs such as performance and availability are well defined
• Define content distribution requirements driving the evolution of our APIs, geospatial data pipelines, event-driven workflows, MCP integrations, and agent-based consumption models
• Ensure platform scalability, performance, security, and multi-tenant readiness
• Support platform capabilities that enable monetization models including Data-as-a-Service and API enablement
• Engage go-to-market product managers and internal stakeholders to identify integration and AI workflow requirements
• Translate vertical use cases into reusable platform capabilities and POVs (proof-of-value)
• Define success metrics across adoption, quality, latency, and uptime
• Establish telemetry, observability, and SLAs for platform performance
• Lead backlog prioritization across platform initiatives
• Align research, engineering, and go-to-market stakeholders on scalable delivery
• Communicate roadmap, releases, and impact to leadership

Requirements:

• 8+ years in Technical or Platform Product Management, preferably in data or AI platforms
• Strong understanding of ML lifecycle and productionization
• Strong understanding of Data engineering and distributed systems
• Strong understanding of API-first platform design
• Strong understanding of Data modeling and schema governance
• Experience defining requirements for enterprise-scale data platforms and AI-integrated systems
• Familiarity with cloud platforms (AWS or equivalent)
• Demonstrated ability to translate complex technical systems into structured, actionable requirements
• Strong analytical thinking, business acumen, and executive-level communication skills
• Background in geospatial data, imagery, or 3D modeling
• Experience with SQL/NoSQL systems, vector databases, feature stores, RAG architectures, and agent frameworks
• Experience with MCP or AI protocol integrations
• Experience building data monetization platforms (DaaS, APIs, subscription models)
• Familiarity with ontology design and cross-domain data normalization
• Experience supporting enterprise customers at scale