Senior Technical Product Manager

Viasat, Inc. • Carlsbad, CA

4h • Onsite

About The Position

We are thrilled to announce an exciting opportunity for an onsite Senior Technical Product Manager to join our dynamic team in Carlsbad, CA!
As a Senior Technical Product Manager in Viasat’s Data & AI organization, you will collaborate alongside Engineering to develop and implement the vision and strategy. This vision supports a unified intelligent data infrastructure. It helps teams across the company build intelligent, data-driven products at scale. You will help develop the foundational capabilities, shared services, and tooling that increase development velocity, improve data availability, and accelerate innovation. By driving platform and AI adoption, deeply understanding customer needs, and ensuring strong alignment with engineering, you will enable a reliable, secure, and intuitive platform experience for all builders. Your work will support the Data & AI environment at Viasat by reducing friction and promoting consistency. It will also unlock new opportunities for teams to deliver AI-powered product experiences.

Requirements

• Proven experience (7+ years) in product management with a strong focus on data platforms, AI/ML infrastructure, analytics platforms, or developer‑focused products.
• Strong technical depth in modern Data & AI ecosystems—e.g., data pipelines, data warehouses/lakes, AI platforms, feature stores, observability, distributed systems, or cloud‑native services.
• Demonstrated success leading through OKRs, setting measurable objectives, driving alignment across teams, and continuously tracking outcomes to inform iteration.
• Ability to partner deeply with engineering, contributing to architectural discussions and translating complex technical concepts into clear product decisions.
• Hands‑on experience driving platform adoption, developer enablement, or building products used by internal engineering teams.
• Strong analytical abilities, with experience using metrics, usage data, and customer insights to guide prioritization and measure platform impact.
• Excellent communication skills, capable of articulating strategy, trade‑offs, and value propositions to technical and non-technical audiences.
• Familiarity with AI/ML technologies, including LLMs, model development workflows, MLOps practices, automation, and emerging technologies like Agentic AI.
• A customer‑obsessed mentality, demonstrating an understanding of developer needs, eliminating friction, and delivering intuitive platform experiences.
• A bias for action, comfort with ambiguity, and the ability to drive clarity, structure, and momentum in complex technical environments.
• Bachelor’s degree in computer science, engineering, or equivalent experience
• Able to travel up to 20%

Nice To Haves

• Experience building or supporting cloud‑based data platforms, especially on Google Cloud Platform (GCP).
• Knowledge of AI/ML frameworks and tools, and an understanding of how engineering teams develop, deploy, and operationalize models at scale.
• Solid understanding of the end‑to‑end data lifecycle, including large‑scale data collection, real-time and batch processing, and efficient storage patterns.
• Hands‑on knowledge of GCP data technologies such as BigQuery, Google Cloud Storage (GCS), Cloud Composer, Dataplex, and streaming tools like Kafka.
• Experience applying data governance and compliance standards, including data quality, metadata management, and stewardship processes.
• Solid understanding of data privacy, governance, and security principles, along with the ability to stay current on evolving global regulatory requirements.
• Familiarity with agile methodologies such as Scrum, and proficiency with tools like JIRA for planning and Workboard for tracking OKRs and driving alignment.

Responsibilities

• Define and evolve the strategy for our Data & AI platform, ensuring it accelerates product development and aligns with company priorities.
• Own the roadmap, prioritizing foundational data services, AI/ML capabilities, and developer tooling that deliver clear value to engineering teams.
• Deeply understand internal customers, capturing feedback and analyzing usage patterns to identify friction points and shape platform improvements.
• Partner closely with Engineering to define requirements, guide architectural decisions, and drive execution of secure, scalable, high‑quality platform capabilities.
• Advance AI enablement, promoting adoption of AI/ML services, automation, and emerging Agentic AI capabilities across product teams.
• Communicate strategy and progress to collaborators, ensuring alignment across leadership, engineering, security, and data teams.
• Lead feature rollouts and change management, driving awareness, documentation, and onboarding to increase platform adoption.
• Continuously evaluate new technologies and find opportunities to enhance developer experience, improve data accessibility, and reduce operational overhead.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level