Product Manager

• Own the acquisition-to-purchase funnel from the first landing screen on mobile app or mobile web to a paid, booked seat.
• Own onboarding and activation, paywall strategy, pricing and packaging across iOS, Android and Web, and the experimentation programme.
• Own conversion to purchase and lifetime value per subscriber across the path from first screen to completed payment.
• Map the end-to-end path across mobile app and mobile web, identify lost intent and prioritise fixes by revenue impact.
• Own continuity between web and app, including handover, payment, billing and refund differences.
• Account for paid, organic and referral acquisition channels in funnel design.
• Own onboarding flow, define and instrument activation, and reduce time and friction to the first booked seat.
• Own paywall placement, timing, design and gated content; own pricing and packaging across markets and currencies, including trials, offers, upsells and win-back.
• Balance first-purchase conversion against renewal quality and attendance.
• Run continuous experimentation with pre-registered hypotheses, adequate power and predefined decision criteria.
• Evaluate experiments against attendance, renewal and LTV as well as primary metrics.
• Partner with Marketing, Data and Engineering on channel mix, creative strategy, instrumentation, attribution, experiment design and onboarding requirements.
• Report to the VP of Product.
• Deliver growth in new-subscriber revenue, trusted improving conversion and activation metrics, channel-differentiated onboarding, measured pricing elasticity, maintained or improved LTV, and high experiment throughput.

Growth Product Manager

• Own Vault end to end, including content ingestion, storage, customer-system connections, organization, AI enrichment and user workflows
• Identify ways for customers to derive more value from sports archives through licensing, resale, sponsorship activations and throwback moments
• Extend AI capabilities beyond face and logo recognition
• Improve metadata, search, rights and usage management for millions of assets
• Set and own the Vault product roadmap based on customer needs
• Conduct customer discovery with media directors
• Spend time on-site at events
• Participate in Sales and Customer Success discussions when customer issues arise
• Report to the Product Lead
• Collaborate with product, engineering, Sales and Customer Success teams

Senior Product Manager

• Own the product and technical delivery of compliance and safety initiatives across EverAI platforms
• Translate safety policies, legal requirements, incident findings, and user feedback into product requirements, acceptance criteria, and engineering work
• Drive initiatives from problem definition through implementation, testing, launch, and continuous improvement
• Improve in-house moderation systems, including the EverGuard proprietary LLM technology
• Partner with Engineering and AI/ML teams on detection capabilities, moderation rules, thresholds, and interventions for user inputs and AI-generated outputs
• Lead the lifecycle of third-party safety partnerships from needs identification and provider evaluation through implementation, testing, rollout, and performance management
• Establish safety dashboards and recurring QA to identify emerging issues and ensure safety measures work as intended
• Own red teaming and adversarial testing for moderation systems and product safeguards
• Track testing findings through remediation, retesting, and closure
• Establish and run Trust & Safety reviews for new features and material changes to existing features, models, and integrations
• Identify foreseeable misuse, affected users, and appropriate safeguards during product design
• Coordinate product and engineering responses to significant safety incidents with incident management, policy, and user support colleagues
• Work directly with the CTO and Legal & Safety Lead
• Shape the development of the safety product function

Trust & Safety Product Manager

• Own the charter for Evals & Quality, including the problem, success metrics, and scope
• Define and improve core quality metrics such as first-pass-right, coverage, and regression detection
• Own rubrics and calibration for automated judges and human raters
• Design and run the human quality-control mechanism
• Own curation, coverage, and versioning of the golden dataset
• Build reusable eval loops for other teams
• Own adevals.ai as a product, including its design quality
• Provide evidence for client RFP responses and creative enablement packages
• Partner with Agent Architects on client-specific quality bars using configuration and rubrics
• Run the full product lifecycle from discovery through post-launch audit
• Review every launch 14 days after launch against its stated hypothesis

• Drive rapid product experimentation across A/B tests, growth experiments and new features
• Build, prototype and ship functional product changes end-to-end
• Use AI coding tools to prototype, code, analyse data and contribute through pull requests
• Work closely with designers and developers while remaining technically autonomous
• Connect product metrics to product decisions and define appropriate success measures
• Analyse experiment and feature results and use insights to drive further iterations
• Own ambiguous product work from initial concept through delivery and measurable impact
• Identify opportunities to improve product performance, growth and user experience
• Work directly with the Co-founder & CTO and cross-functional teams
• Unblock product and technical challenges independently
• Continuously explore and apply new AI tools and techniques
• Move quickly through experimentation, iteration and product delivery