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Sr. Technical Product Manager

Roles & Responsibilities

  • 8+ years in technical or platform product management, preferably in data or AI platforms.
  • Strong understanding of ML lifecycle and productionization, data engineering and distributed systems, API-first platform design, and data modeling/schema governance.
  • Experience defining requirements for enterprise-scale data platforms and AI-integrated systems on cloud platforms (AWS or equivalent), with the ability to translate complex systems into actionable requirements.
  • Preferred experience in geospatial data, imagery, or 3D modeling, and familiarity with MCP or AI protocol integrations and data monetization (DaaS, APIs).

Requirements:

  • Define the roadmap and requirements for the Content Platform that supports ML-derived content, including data taxonomy, schema governance, versioning, and lineage; translate AI research into production-grade, enterprise-ready capabilities.
  • Own the data AI productionization: create PRDs and structured requirements for ML-derived features, attributes, confidence scoring, and quality frameworks; partner with ML, data engineering, and architecture teams to meet performance and availability non-functional requirements.
  • Define content distribution and monetization requirements across APIs, geospatial pipelines, event-driven workflows, MCP integrations, and agent-based consumption; ensure scalability, security, and multi-tenant readiness.
  • Lead cross-functional delivery and market alignment: prioritize backlogs, align research, engineering, and GTM stakeholders, and communicate roadmap and impact to leadership, translating vertical use cases into reusable platform capabilities.

Job description

About Us:

Eagleview 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.
  • Partner with ML, Data Engineering, and Architecture teams to ensure NFRs such as performance and availability are well defined.

Enterprise Distribution & Ecosystem

  • 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.

Customer & Market Alignment

  • 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).

Metrics & Governance

  • Define success metrics across adoption, quality, latency, and uptime.
  • Establish telemetry, observability, and SLAs for platform performance.

Cross-Functional Leadership

  • Lead backlog prioritization across platform initiatives.
  • Align research, engineering, and go-to-market stakeholders on scalable delivery.
  • Communicate roadmap, releases, and impact to leadership.
Qualifications:
  • 8+ years in Technical or Platform Product Management, preferably in data or AI platforms.
  • Strong understanding of:
    • ML lifecycle and productionization
    • Data engineering and distributed systems
    • API-first platform design
    • 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.

Preferred

  • 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.
EEO Statement:

This job description is not an exclusive or exhaustive list of all job functions that a workforce member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company.

 

The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate’s work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, additional benefits offered, and the location where the work will be performed. All Fulltime (30+ hours) employees are eligible for PTO, Sick, and Parental Leave; Medical, Dental, and Vision Insurance; 401(k) Plan; Health Savings Account; Life Insurance; Employee Assistance Program; Pet Insurance. This is a full-time, remote role, with a salary range of $110,000 - $157,600, bonus eligible.

 

As an Equal Opportunity and E-Verify Employer, Eagleview Technologies does not discriminate on the basis of any legally protected status or characteristic. Protected veterans and individuals with disabilities are encouraged to apply. We are committed to giving all applicants equal opportunity to participate in the application process and are open to discussing reasonable accommodations for candidates with disabilities.

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