Principal Product Manager, Artificial Intelligence, Computer Vision

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of a new product line centered around AI and computer vision capabilities.

• Establish the vision, make difficult trade-offs, and drive results across engineering, data, design, and external partners.

• Define and manage product line KPIs, including accuracy benchmarks, processing latency, content coverage, and downstream product adoption.

• Collaborate with Data Engineering to create a sport-agnostic game data model.

• Assess new computer vision capabilities, such as object detection and automated highlight segmentation.

• Develop the operational framework for the product line as it expands.

• Oversee the overall health of the product, identifying risks early, managing dependencies, and fostering transparency.

⛳️ Requirements

• 8+ years of experience in product management, technical product management, or a leadership role guiding complex cross-team initiatives from start to finish.

• A proven history of leading significant company initiatives where you were accountable for the outcomes while collaborating with multiple engineering teams, external partners, and business stakeholders.

• Proficient understanding of AI/ML concepts. You know the capabilities and limitations of modern ML systems, can reason about model quality trade-offs, and can engage in technical discussions with ML engineers and vendors. Previous experience leading an AI product is not required, but you must be prepared to lead one now.

• Strong data fluency, including the ability to read and write SQL, interpret quality metrics, and reason about schema design and pipeline trade-offs.

• Experience managing external partner relationships at a strategic level, shaping integration contracts, ensuring accountability, and effectively escalating issues.

• Exceptional communication skills, including concise product writing, a strong executive presence, and the capability to foster alignment between technical and non-technical audiences.

• High tolerance for ambiguity, with a demonstrated ability to create structure and momentum in early-stage problem areas.

• Preferred qualifications include:

• Experience with live video streaming infrastructure or media processing pipelines (encoding, segmentation, metadata extraction).

• Familiarity with computer vision capabilities applicable to sports (object tracking, OCR, scene segmentation, highlight detection).

• Background in sports media, sports data, or related fields (prep sports, broadcast, sports tech).

• Exposure to modern data stacks (Snowflake, dbt, Hightouch) and event-driven data architectures.

• Experience working with external sports data platforms (MaxPreps, NCAA data feeds, or similar) as data sources or integration targets.

🏝️ Benefits

• Multiple medical insurance plans available for selection.

• Dental, vision, life, and disability insurance.

• Employee Emergency Fund.

• Company equity (stock options).

• Open PTO policy.

• 401K plan with company match.

• Hybrid/flexible work environment.