Platform & Data PM — Scalable APIs & Geospatial

Zeitview (formerly DroneBase); Mountain View (CA); On-site; USD 215,000 - 225,000; Full time

Benefits offered by this job

Medical insurance (HSA)

Dental & Vision

Unlimited PTO

Hybrid environment

Career growth

Diversity & Inclusion

Job summary

You’ll translate complex architectures into actionable product requirements, drive adoption of core platform assets, and collaborate with engineering, data science, and product teams to enable reliable, extensible systems.

Qualifications

• 8+ years of professional experience including 5+ years in product management.
• Experience owning technical platform, data, infrastructure, developer, or AI-enabling products.
• You have built and shipped enterprise B2B SaaS products or platforms used by multiple teams or product surfaces.
• Fluency with technical concepts including data modeling, schemas, APIs, event systems, distributed systems, data pipelines, warehouses, or analytics infrastructure.
• Translate complex technical capabilities into clear product requirements and platform interfaces that engineers can build from.

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 and measure adoption, reliability, reuse, and business impact.

Skills

Platform ownership

Data modeling

APIs & services

Cross-functional leadership

Analytics

Tools

SQL

APIs

Cloud platforms

Job description

You’ll translate complex architectures into actionable product requirements, drive adoption of core platform assets, and collaborate with engineering, data science, and product teams to enable reliable, extensible systems.