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 produce high-quality player highlights for new sports and establish pipelines for productizing those highlights.

• Create data pipelines that distribute and govern intricate AI and computer vision data to customer-facing business units.

• Manage daily interactions with computer vision vendors, oversee testing and releases, troubleshoot issues, and monitor commitments, delivery timelines, schema modifications, and performance metrics.

• Set requirements and quality benchmarks for incoming video, metadata, and third-party insights.

• Design and take charge of delivering Streaming Intelligence data via APIs, events, and other interfaces.

• Prioritize and organize work across football, basketball, volleyball, soccer, baseball, and associated vendors.

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

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

• Establish ownership, processes, and Product/Engineering methodologies within a developing AI initiative.

⛳️ Requirements

• A minimum of 3 years of product management experience, preferably working with technical, data, API, or platform products and translating stakeholder requirements into precise product specifications.

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

• Proven experience managing an API, data product, or other technical product catering to internal or external clients.

• Experience in overseeing multiple external partners or vendors and ensuring accountability to clearly established requirements and commitments.

• Excellent written and verbal communication skills, with the ability to convey complex technical concepts to audiences with varying degrees of technical understanding.

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

• An inquisitive nature about team sports and a willingness to acquire sport-specific knowledge.

• Experience in sports, media, or streaming is a plus.

• Familiarity with computer vision, machine learning, or AI-driven products is advantageous.

• Experience in reviewing vendor contracts, SLAs, or technical integration agreements is a plus.

🏝️ Benefits

• A variety of medical insurance plans to choose from.

• Dental, vision, life, and disability insurance options.

• Employee Emergency Fund.

• Company equity (stock options).

• Open PTO policy.

• 401K plan with company matching.

• Hybrid/flexible work environment.