Product Manager, Applied AI, CV

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

📋 Description

• Assess external vendors to determine their capability to provide high-quality player highlights across emerging sports and establish pipelines for productizing those highlights.

• Create data pipelines that distribute and manage complex AI and computer vision data to business areas that engage with customers.

• Manage daily interactions with computer vision vendors, coordinate testing and releases, resolve issues, and monitor commitments, delivery, schema updates, and performance metrics.

• Specify requirements and quality benchmarks for incoming video, metadata, and third-party intelligence sources.

• Design and oversee the delivery of Streaming Intelligence data via APIs, events, and other methods.

• Prioritize and sequence tasks across various sports including football, basketball, volleyball, soccer, baseball, and collaborate with vendors.

• Make product decisions within Pipelines and provide insights on broader strategic choices.

• Collaborate with product teams, engineering, project management, Vision, downstream product teams, and external vendors.

• Define ownership, processes, and Product/Engineering workflows within a developing AI initiative.

⛳️ Requirements

• Minimum of 3 years of experience in product management, preferably with technical, data, API, or platform products, and adept at translating stakeholder needs into clear product requirements.

• Technical proficiency to interpret API documentation, comprehend data flows and integration challenges, and effectively communicate issues to engineers and external partners.

• Experience in owning an API, data product, or other technical products serving internal or external clients.

• Proven track record in managing multiple external partners or vendors, ensuring they adhere to well-defined requirements and commitments.

• Excellent written and verbal communication skills, capable of simplifying complex technical concepts for diverse audiences with varying levels of technical expertise.

• A proactive mindset towards product and data quality, employing monitoring and validation methods to detect issues before they affect downstream teams or customers.

• A genuine interest in team sports and a willingness to acquire sport-specific expertise.

• Experience in the sports, media, or streaming industry (preferred).

• Familiarity with computer vision, machine learning, or AI-driven products (preferred).

• Background in reviewing vendor contracts, SLAs, or technical integration agreements (preferred).

🏝️ Benefits

• A variety of medical insurance plans to select from.

• Coverage for dental, vision, life, and disability insurance.

• Employee Emergency Fund.

• Company equity (stock options).

• Open Paid Time Off (PTO) policy.

• 401K plan with company matching contributions.

• Hybrid and flexible work environment.