AI Product Manager

Company: Zoomph

Location: Remote (Remote)

Salary: $150,000 - $170,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-05-16

About this role

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.

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