Staff Technical Product Manager – Platform

Zeitview

. Own the roadmap for shared platform services and data capabilities .

Posted 9/17/2026full-timeMountain View • California • United StatesLead💰 $215,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for technical platforms, focusing on data capabilities, API development, and enterprise B2B SaaS solutions. Proficient in defining data quality standards, governance, and metrics to measure platform success and adoption.

Highest-signal resume keywords

Product ManagementData ModelingAPI DevelopmentEnterprise B2B SaaSData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PipelinesDistributed SystemsEvent SystemsData WarehousesQuantitative ReasoningTechnical DesignArchitecture Trade-offsData LineageMachine Learning PlatformsGeospatial Data

Soft Skills

Cross-Functional CollaborationInfluenceCommunicationProblem-SolvingPrioritization

Industry Keywords

Enterprise SecurityCompliancePrivacyGovernanceObservability

Tech Stack

Tools & technologies

Distributed SystemsRemote Sensing

About the role

Key responsibilities & impact

Own the roadmap for shared platform services and data capabilities
Understand platform needs across product teams and unblock high-value use cases
Drive consistency without unnecessarily constraining product innovation
Maintain understanding of domain models, datasets, services, APIs, and platform dependencies
Prioritize and communicate trade-offs to engineering, product, and leadership
Partner with engineering to build scalable APIs, services, pipelines, and interfaces
Define canonical entities, relationships, contracts, events, permissions, and semantics across the data lifecycle
Improve discovery, understanding, and consumption of shared capabilities
Define standards for data quality, lineage, governance, discoverability, documentation, reliability, and developer experience
Determine which capabilities belong at the platform layer versus individual products or verticals
Evaluate AI and agent-based interactions with data and platform capabilities
Define success metrics and measure adoption, reliability, reuse, and business impact

Requirements

What you’ll need

8+ years of professional experience, including 5+ years in product management
Meaningful experience owning technical platform, data, infrastructure, developer, or AI-enabling products
Experience building and shipping enterprise B2B SaaS products or platforms used by multiple teams or product surfaces
Fluency with data modeling, schemas, APIs, event systems, distributed systems, data pipelines, warehouses, or analytics infrastructure
Ability to participate in architecture and technical design discussions with senior engineers and data practitioners
Experience making build-vs-buy, abstraction, architecture, reliability, or scalability trade-offs
Ability to translate complex technical capabilities into product requirements and platform interfaces
Experience delivering ambiguous, cross-functional programs through alignment and influence
Quantitative reasoning and ability to define platform value metrics
Understanding of enterprise security, permissions, privacy, governance, compliance, and reliability
Preferred: experience with geospatial data, imagery, remote sensing, computer vision, or asset inspection platforms
Preferred: experience with high-volume or complex data processing systems
Preferred: experience defining domain models or shared data architectures across multiple products
Preferred: experience building platforms supporting machine learning, generative AI, or agent-based systems
Preferred: experience with data lineage, observability, governance, or master-data concepts
Preferred: experience with operational systems connecting digital workflows to physical-world activity

Benefits

Comp & perks

Multiple medical insurance plans, including options with an HSA
100% coverage of the medical insurance premium for yourself and dependents
100% paid dental and vision insurance
Unlimited PTO
Hybrid work environment
Autonomy and upward mobility
Diverse, equitable, and inclusive culture