Staff Platform PM: Geospatial Data & APIs

Zeitview, Inc.; Boston (MA); On-site; USD 150,000 - 210,000; Full time

Job summary

You will help build platforms supporting ML/AI workflows, ensure data quality and lineage, and drive cross-team alignment while enabling product innovation. The role combines strategic leadership with hands-on architecture and delivery, reporting into the platform or data leadership track.

Qualifications

• Experience owning technical platform, data, infrastructure, developer, or AI-enabled products.
• Able to participate in architecture and technical design discussions with senior engineers.
• Made consequential build-vs-buy, abstraction, architecture, reliability, or scalability trade-offs.
• Understand enterprise expectations around security, permissions, privacy, governance, compliance, and reliability.
• Fluent with data modeling, schemas, APIs, event systems, distributed systems, data pipelines, warehouses, or analytics infrastructure.
• Delivered ambiguous, cross-functional programs where alignment and influence mattered more than organizational authority.
• 8+ years of professional experience, including 5+ years in product management.
• Translate complex technical capabilities into clear product requirements and platform interfaces that engineers can build from.
• Built and shipped enterprise B2B SaaS products or platforms used by multiple teams or product surfaces.
• Fluent in quantitative reasoning and can define metrics that demonstrate whether a platform investment is actually creating value.
• Experience working with operational systems where digital workflows connect to physical-world activity.
• Experience with data lineage, observability, governance, or master-data concepts.
• Experience building platforms that support machine learning, generative AI, or agent-based systems.
• Experience defining domain models or shared data architectures across multiple products.
• Experience with high-volume or complex data processing systems.
• Experience with geospatial data, imagery, remote sensing, computer vision, or asset inspection platforms.

Responsibilities

• Build the platform powering Zeitview products.
• Own core data model and shared platform services for capture, processing, analysis, and delivery.
• Define representation of domain objects and large-scale geospatial, imagery, inspection, and operational datasets across platforms.
• This is a technical, high-leverage product role focused on reliable, scalable systems.
• Collaborate with product engineering, data engineering, data science, security, and product teams to turn fragmented systems into durable platform primitives.
• 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 constraining innovation.
• Maintain 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.
• Define canonical entities, relationships, contracts, events, permissions, and semantics 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 products/verticals.
• Evaluate how AI/agent-based systems should interact with Zeitview’s data and platform capabilities, including required primitives.
• Define success metrics for platform investments and measure adoption, reliability, reuse, and business impact.

Skills

Platform ownership

Architecture discussions

Security & governance

Data modeling & APIs

Distributed systems

Data pipelines

Geospatial data

AI platforms

Quantitative reasoning

B2B SaaS

Education

Experience in product management

Job description

You will help build platforms supporting ML/AI workflows, ensure data quality and lineage, and drive cross-team alignment while enabling product innovation. The role combines strategic leadership with hands-on architecture and delivery, reporting into the platform or data leadership track.