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Staff Technical Product Manager (Platform)

Zeitview

Skills

Required

  • data lineage / observability / governance / master-data
  • data modeling / schemas / APIs / event systems / distributed systems / data pipelines / warehouses / analytics infrastructure
  • product management
  • define metrics
  • building platforms
  • machine learning / generative AI / agent-based systems
  • data processing systems

Preferred

  • domain models / shared data architectures
  • geospatial data / imagery / remote sensing / computer vision / asset inspection platforms
  • abstraction / reliability / scalability
  • technical design
  • privacy

Join Zeitview as a Staff Technical Product Manager (Platform) and play a crucial role in building the platform that powers every Zeitview product. You will own the core data model and shared platform services, define how domain objects and large-scale datasets are represented and processed, and work closely with various teams to turn fragmented systems into durable platform primitives. This is a technical, high-leverage product role for someone who is passionate about building reliable, scalable, and extensible systems.

Posséder le modèle de données central et les services de plateforme partagés qui permettent la capture, le traitement, l'analyse et la livraison des données.

About Zeitview

Travailler en étroite collaboration avec l'ingénierie produit, l'ingénierie des données, la science des données, la sécurité et les équipes produit pour transformer les systèmes et les données fragmentés en primitives de plateforme durables.

Responsibilities

  • Définir comment les objets de domaine et les ensembles de données géospatiales, d'imagerie, d'inspection et opérationnelles à grande échelle sont représentés, connectés, traités, gouvernés et exposés.
  • Meaningful experience owning technical platform, data, infrastructure, developer, or AI-enabling products
  • Hold your own in architecture and technical design discussions with senior engineers and data practitioners
  • You have made consequential build-vs-buy, abstraction, architecture, reliability, or scalability trade-offs
  • Understand enterprise expectations around security, permissions, privacy, governance, compliance, and reliability

Requirements

  • Fluency with technical concepts including data modeling, schemas, APIs, event systems, distributed systems, data pipelines, warehouses, or analytics infrastructure
  • You have 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
  • You have 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 with high-volume or complex data processing systems

Preferred

  • Experience defining domain models or shared data architectures across multiple products
  • Experience with geospatial data, imagery, remote sensing, computer vision, or asset inspection platforms

Pay

USD 215,000 - 225,000