Staff Technical Product Manager (Platform)

About Us

Zeitview is the leading intelligent aerial imaging company for high-value infrastructure, providing businesses with actionable, real-time insights to recover revenue, reduce risk and improve build quality. We serve customers in the solar, wind, insurance, construction, real estate, and critical infrastructure industries. Trusted by the largest enterprises in the world, Zeitview is active in over 70 countries. Our mission is to accelerate the global transition to renewable energy and sustainable infrastructure through advanced inspection solutions. Take a look at our latest achievements here!

Role Overview

Build the platform that powers every Zeitview product. Own the core data model and shared platform services that enable data capture, processing, analysis, and delivery across Zeitview’s products and verticals. Define how domain objects and large-scale geospatial, imagery, inspection, and operational datasets are represented, connected, processed, governed, and exposed to applications, customers, and AI systems. This is a technical, high-leverage product role for someone who cares about building reliable, scalable, extensible systems. You’ll work closely with product engineering, data engineering, data science, security, and product teams to turn fragmented systems and data into durable platform primitives that teams can build on with confidence.

Responsibilities

• Own the roadmap for shared platform services and data capabilities.
• Work across product teams to understand platform needs, unblock high-value use cases, and drive consistency without unnecessarily constraining product innovation.
• Maintain a clear understanding of the domain model, datasets, services, APIs, and platform dependencies.
• Prioritize and make trade-offs legible to engineering, product, and leadership.
• Partner with engineering to build reliable, scalable APIs, services, pipelines, and interfaces that turn complex underlying systems into simple platform capabilities.
• Define canonical entities, relationships, contracts, events, permissions, and semantics used across the data lifecycle.
• Improve how application teams discover, understand, and consume shared capabilities.
• Define standards for data quality, lineage, governance, discoverability, documentation, reliability, and developer experience.
• Identify where shared capabilities should be standardized at the platform layer versus owned within individual products or verticals.
• Evaluate how AI and agent-based systems should interact with Zeitview’s data and platform capabilities, including the primitives required to make those systems reliable and scalable.
• Define success metrics for platform investments