Senior Technical Product Manager (Data & AI Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid, site-based role in Carlsbad or San Jose, California, or Englewood, Colorado; office attendance required at least 3 days per week. US citizenship or permanent resident status required.
Salary: $180,500–$285,000 annually. For specific work locations in San Jose, the San Francisco Bay Area, and the New York City metropolitan area: $224,500–$336,500 annually.
Company
delivers satellite communications and connectivity solutions for consumers, businesses, governments, and military organizations worldwide.
What you will do
- Own the roadmap for a unified data and AI cloud platform, including context layers, high-throughput ingestion, semantic modeling, and knowledge catalogs.
- Expand the governed cloud data lake by consolidating data sources from business domains for AI and analytics use cases.
- Design platform capabilities for strict governance, data sovereignty, auditability, and regulated environments.
- Define and evolve the semantic layer and enterprise data model with engineering and business stakeholders.
- Deliver internal self-service portals, CLI tools, SDKs, and templates for secure AI-agent development and deployment.
- Establish privacy guardrails and telemetry for token spend, agent utilization, accuracy, and ROI.
Requirements
- 7+ years of Product Management experience owning data, AI, cloud infrastructure, or engineering-enablement platforms.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- Experience with cloud platform capabilities serving both technical and non-technical users.
- Deep knowledge of modern data architecture, especially GCP, and familiarity with agentic concepts and orchestration layers.
- Experience with highly regulated environments such as FedRAMP, SOC 2, HIPAA, or DoD Impact Levels.
- Experience leading through formal OKRs and communicating strategy and trade-offs to technical and business stakeholders.
Nice to have
- Background in Computer Science, Data Engineering, or a related AI-focused field.
- Hands-on expertise with Gemini Enterprise Agent Platform, IAM architecture, BigQuery, and GCP security controls.
Culture & Benefits
- Inclusive environment focused on positive global impact.
- Hybrid work combining office collaboration with remote flexibility.
- Medical, financial, and other benefits focused on holistic health and wellness.
- Additional cash or stock incentives may be available depending on the position.
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