Sr. Technical Product Manager
EagleView Technologies · Remote (United States) · Product
About this role
EagleView Technologies is hiring a senior-level Product Manager as a remote position. The posting calls out experience with API Development, Observability, ETL, Machine Learning and roughly 8+ years of relevant work. Compensation is listed at $110,000–$157,600 per year.
- Role
- Product Manager
- Function
- product
- Level
- senior
- Track
- Individual contributor
- Location
- Remote (United States)
- Work mode
- Remote
- Experience
- 8+ years
- Department
- Product
- Posted
- Mar 3, 2026
More roles at EagleView Technologies
Job description
from EagleView Technologies careersEagleview is a leading provider of aerial imagery, property insights and software that transforms the way people work. EagleView holds more than 300 patents and owns a large geospatial data and imagery library encompassing 94 percent of the US population. EagleView provides the most accurate data, enabling customers in the government, construction, solar and insurance industries to make timely, informed and better decisions.
Overview
EagleView, the leader in aerial imagery and geospatial intelligence, is seeking a Sr. Technical Product Manager in Data & AI to define and scale the company’s Geospatial Content Platform. This role is accountable for identifying, defining, and documenting platform requirements for ML-derived datasets, data taxonomy, and enterprise-scale distribution models. The Sr. TPM will shape how AI-generated data and insights are structured, versioned, governed, and distributed via APIs, MCP, Agents, and ecosystem integrations.
This role will operate at the intersection of data engineering, machine learning, platform architecture, and go-to-market enablement to ensure scalable, secure, and monetizable AI-native capabilities.
Responsibilities
Platform Strategy
- 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.
Data & AI Productionization
- Own creation of PRDs and structured requirements for ML derived features and attributes, confidence scoring, and quality frameworks.