Zoomph
AI Product Manager
United States
Sponsorship not specifiedDetected 38 days ago
Machine LearningComputer VisionProduct ManagementProduct StrategyProject ManagementAccount ManagementBusiness DevelopmentProcurementCustomer SuccessResearchCommunicationCollaboration
About the role
- This role combines product management, technical program management, and an operator's instinct for process and accountability.
- 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.
Responsibilities
- Own the product roadmap end-to-end: define priorities, sequence work, communicate the plan, and hold the organization to delivery timelines.
- 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.
- Create processes to establish quality thresholds and feedback loops for AI feature improvements in partnership with engineering.
- Define and track KPIs for adoption, data quality, processing volume, feature usage, and own post-release data quality, retention impact, and revenue attribution.
- Partner with legal and engineering to ensure data collection and processing comply with global privacy regulations and evolving AI-specific legislation.
- 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 marketing case studies and industry solutions use-case collateral.
- Develop developer-led inbound marketing processes with API sandboxes and free trials.
Requirements
- Customer-centric mindset with the ability to translate client feedback and usage data into product priorities.
Nice to have
- Experience managing or coordinating human-in-the-loop data quality processes, content moderation, or managed services operations.
- Industry knowledge of sports, esports, entertainment, brand, or sponsorship analytics.
- Experience with outsourced QA or content moderation vendors.
- Product Management certifications (CSPO, CPM, Pragmatic Institute, or General Assembly).
- Familiarity with AI ethics frameworks, bias testing, and data privacy compliance.
- Zoomph is committed to providing a workplace free from discrimination or harassment.
Compensation
- Decisions related to hiring, compensation, training, evaluating performance, or termination are made fairly, and we provide equal employment opportunities to all qualified candidates and employees and prohibit all forms of employment discri
Benefits
- 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.
- Analyze customer feedback, platform usage data, and product performance metrics to continuously improve Zoomph's AI/Computer Vision offerings.
Company info
- Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Missouri, New York, North Carolina, South Carolina, Tennessee, Texas, and Virginia.
- Establish standards for responsible AI use, including transparency with customers about AI-powered features and data handling practices.
Equal opportunity
- "We examine our unconscious biases and take responsibility for always striving to create an inclusive environment that makes every employee and applicant feel welcome.
- We expect every member of the Zoomph community to do their part to cultivate and maintain an environment where everyone has the opportunity to feel included and is afforded the respect and dignity they deserve.
- Decisions related to hiring, compensation, training, evaluating performance, or termination are made fairly, and we provide equal employment opportunities to all qualified candidates and employees and prohibit all forms of employment discrimination, including harassment, because of race, color, sex, gender, age, religion or religious creed, national origin, ancestry, citizenship, marital status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law."
Visa & Work Authorization
- Industry knowledge of sports, esports, entertainment, brand, or sponsorship analytics.
This listing is sourced directly from Zoomph's careers page and normalized into a canonical job model.