Senior Technical Product Manager, Data & AI Platform

The day-to-day: Unify Data & AI Infrastructure: Own the roadmap for building a unified context layer and consolidating data platforms, readying the platform for agentic AI — including high-throughput data ingestion, semantic modeling, and knowledge catalogs so both developer-built and business-built agents ground decisions in trusted corporate data. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $224,500.00- $336,500.00/ annually: At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience.

About us:

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

What you'll do:

We are thrilled to announce an exciting opportunity for a Senior Technical Product Manager, Data & AI Platform to join our dynamic team in Carlsbad, CA, San Jose, CA or Denver, CO! This is a hybrid, site-based role that offers the perfect blend of office collaboration and remote flexibility. Employees will work from one of these listed offices at least 3 days (60%) per week within a standard five-day workweek, with the remaining days worked remotely.

 

This highly technical, platform-minded Senior Technical Product Manager will own the unified data and AI cloud platform at the center of our agentic transformation. This platform is bigger than any single agent — it is the data and infrastructure backbone for our next wave of platform expansion, turning trusted, well-governed enterprise data into the raw material every future AI-driven capability will run on. In this role, you will own the roadmap for core platform infrastructure and drive how it’s exposed through interfaces that work for both technical and non-technical users.

 

Your stakeholders span the full platform: internal engineers building advanced programmatic agents, non-technical business users creating and managing agents through low-code/no-code interfaces, and the teams who depend on a consolidated, well-governed data platform underneath it all. Your job is to understand what each group needs — from foundational data infrastructure to the interfaces built on top of it — and translate that into requirements, partnering with engineering on execution, so the platform is safe, trustworthy, and usable across the board.

 

The day-to-day:

• Unify Data & AI Infrastructure: Own the roadmap for building a unified context layer and consolidating data platforms, readying the platform for agentic AI — including high-throughput data ingestion, semantic modeling, and knowledge catalogs so both developer-built and business-built agents ground decisions in trusted corporate data.
• Expand the Governed Data Lake: Own the roadmap for ingesting new data sources into the governed Cloud data lake, consolidating data from across business domains — such as finance — into a consistent, easy-to-use format for downstream AI and analytics use cases.
• Navigate High-Compliance Environments: Design the platform with the flexibility to adapt to varying compliance postures. Ensure architecture patterns support strict governance frameworks, data sovereignty, and auditability requirements inherent to government and regulated commercial business.
• Partner on the Semantic Layer: Work directly with internal customers — engineering and business teams — to define and evolve the semantic layer and underlying data model, ensuring it reflects how they reason about and query enterprise data, not just how the data is stored.
• Deliver Low-Friction Developer Portals: Own the product lifecycle for internal self-service portals, CLI tools, SDKs, and templates that empower software engineers to securely stand up and deploy AI agents with minimal friction.
• Enforce Democratic Governance & Guardrails: Establish automated system guardrails and data-privacy boundaries so non-technical users cannot accidentally breach compliance or leak sensitive data.
• Drive Telemetry & Cost Transparency: Define requirements for dashboard analytics showing token spend, agent utilization, accuracy, and ROI across departments.

 

What you'll need:

• Experience: 7+ years of Product Management experience, with a proven track record owning data & AI platforms, infrastructure, or other engineering-enablement platforms where internal users are your customers.
• Education: Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Platform Mindset: A track record of owning Cloud platform capabilities that serve both technical engineering users and non-technical business users equally well – measuring success via development velocity, platform adoption, and system reliability. 
• Technical Depth with User Empathy: Deep knowledge of modern data architecture (emphasis on GCP) and agentic concepts, paired with a strong understanding of how to translate that complexity into capabilities that provide the highest ROI.
• Agentic Framework Familiarity: Understanding of orchestration layers and how to translate their parameters into configurable, user-friendly controls.
• High-Compliance Acumen: Proven experience building or managing cloud platforms within highly regulated environments (e.g., FedRAMP, SOC2, HIPAA, or DoD Impact Levels). You understand the implications of strict boundary controls and data isolation.
• Outcome Ownership: Demonstrated success leading through formal OKRs — setting measurable objectives, driving alignment across engineering and business stakeholders, and tracking outcomes to inform iteration.
• Stakeholder Communication: Ability to communicate strategy, trade-offs, and value propositions clearly to both technical and non-technical audiences, from engineering teams to business leadership.

What will help you on the job:

• Background in Computer Science, Data Engineering, or a related field with an emphasis on AI.
• GCP Ecosystem Expertise: Deep, hands-on familiarity with the Google Cloud Platform ecosystem, specifically Gemini Enterprise Agent Platform, IAM architecture, BigQuery, and GCP security controls

 

#LI-VSAT

 

Salary range: $180,500.00 - $285,000.00 / annually. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $224,500.00- $336,500.00/ annually  : At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat’s comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits. EEO statement:

Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click

careers@viasat.com

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