We are seeking a dedicated Product Manager to own Zoomph’s AI/computer vision product line which powers logo detection, brand exposure tracking, placement quality assessment, audience enrichment, and benchmarking across social media, broadcast footage, and streaming content for the sports, esports, and entertainment industries.

As Product Manager, you will own the product roadmap, delivery, and quality of our AI/CV-enabled product suite — partnering with engineering, AI/ML, product, sales, marketing, account management, and customer success to drive revenue growth, customer retention, and competitive differentiation. This role combines product management, technical program management, and an operator’s instinct for process and accountability.

The ideal candidate has experience managing AI/ML-driven products, is comfortable working across engineering and customer-facing teams, and brings the discipline to hold a complex, high-velocity product to clear standards of quality and delivery.

Responsibilities:

Product Strategy and Roadmap

Own the product roadmap end-to-end: define priorities, sequence work, communicate the plan, and hold the organization to delivery timelines.
Engage directly with customers and prospects to validate roadmap priorities, test product-market fit, and identify unmet needs.
Translate Zoomph’s business objectives and retention-led growth strategy into specific product initiatives with clear linkage to customer outcomes and revenue impact.
Evaluate and prioritize initiatives across the product lifecycle, from concept through launch and post-launch performance monitoring.
Partner with engineering and ML teams to evaluate model architectures, assess tradeoffs between accuracy, speed, and coverage, and define product requirements for AI improvements.
Lead product innovation by staying ahead of market trends, competitive dynamics, and advances in AI/computer vision relevant to sports, esports, and entertainment analytics.

Product Operations, Quality & Governance

Detection accuracy, data completeness. Define and track KPIs for adoption, data quality, processing volume, feature usage, and own post-release data quality, retention impact, and revenue attribution.
Use data and analytics to measure the impact of product initiatives and make data-driven prioritization decisions.
Analyze customer feedback, platform usage data, and product performance metrics to continuously improve Zoomph’s AI/Computer Vision offerings.
Monitor and ensure product quality of AI-powered features, working with vendor and engineering teams to track accuracy, completeness, and reliability against defined benchmarks.
Create processes to establish quality thresholds and feedback loops for AI feature improvements in partnership with engineering.
Define quality review processes and escalation workflows for AI-powered feature performance.
Proactively identify and address seasonal data quality risks tied to league cycles and demand spikes.
Establish standards for responsible AI use, including transparency with customers about AI-powered features and data handling practices.
Partner with legal and engineering to ensure data collection and processing comply with global privacy regulations and evolving AI-specific legislation.

Product Marketing

Translate ML/AI capabilities into customer-facing value and competitive positioning, working with sales and marketing to articulate Zoomph’s AI-driven differentiation.
Support sales with product knowledge, prospect-facing demonstrations, competitive battle cards, and positioning.
Develop collateral and messaging to support the Account Management team for AI/ML updates. Support account management and customer success with data quality reporting, capability documentation, and renewal-relevant product updates.
Develop internal collateral for training and education.
Meet with key clients to evangelize AI innovation amongst Zoomph’s current client roster.
Conduct competitive research on relevant competitors and monitor advances in general-purpose AI/computer vision that may impact Zoomph’s positioning.
Develop marketing case studies and industry solutions use-case collateral.
Present at industry events.
Develop developer-led inbound marketing processes with API sandboxes and free trials.

Partnerships & Integrations

Shape how Zoomph’s AI integrates wi

AI Product Manager at Zoomph