AI Product Manager

• Develop a deep understanding of consumers, merchants and operators, using qualitative and quantitative insights to identify meaningful AI opportunities.
• Define and communicate a clear AI product vision, strategy, and roadmap aligned to business goals and customer needs.
• Identify, prioritize, and scope AI use cases across personalization, search and discovery, customer support, merchant enablement, driver experience, fraud and trust, forecasting, pricing, routing, and last-mile operations.
• Translate complex AI capabilities into intuitive, valuable user experiences and measurable business outcomes.
• Partner with data science, machine learning, software engineering, and analytics teams to evaluate technical feasibility, data readiness, model performance, scalability, and operational requirements.
• Lead product discovery through stakeholder feedback, market research, customer research, usability testing, experimentation, and user acceptance testing.
• Establish success metrics and measurement frameworks for AI products, including adoption, engagement, customer satisfaction, operational efficiency, revenue impact, quality, latency, reliability, and model performance.
• Define requirements for AI-powered features, including product requirements documents, user journeys, workflows, wireframes, prototypes, evaluation plans, and launch criteria.
• Work closely with engineering and technical teams to ensure AI products and releases are designed, developed, tested, deployed, and operated successfully.
• Establish appropriate approaches for model evaluation, human-in-the-loop workflows, monitoring, feedback collection, and continuous improvement.
• Partner with legal, compliance, privacy, security, and risk stakeholders to support responsible, transparent, and compliant use of AI.
• Make creative recommendations to expand the 7NOW product portfolio and shape the long-term role of AI across the business.
• Create alignment across senior management and cross-functional teams, clearly communicating priorities, trade-offs, risks, and decisions.
• Lead through influence, build trust across disciplines, and create excitement around the customer and business problems we are solving.
• This role requires a strong understanding of customer and business needs, technical fluency across modern AI platforms, and the ability to move from early discovery and experimentation through production launch and continuous improvement.
• Participate in Agile ceremonies, including sprint planning, stand-ups, backlog refinement, and retrospectives.

Years of Experience

• 5+ years of experience in product management, with experience delivering digital products and user experiences at scale.
• 2+ years of experience leading AI, machine learning, generative AI, data products, or intelligent automation initiatives.
• Experience taking AI or data-driven products from discovery and experimentation through production launch and ongoing optimization.

Required Qualifications (Non-Negotiable)

• Technical fluency with modern technology platforms, microservices, APIs, databases.
• Experience working closely with software engineers, data scientists, machine learning engineers, designers, analysts, and operational stakeholders.
• Strong analytical skills and a track record of making data-informed product decisions.
• Demonstrated ability to define product strategy, manage roadmaps, prioritize investments, and deliver measurable outcomes.
• Strong written and verbal communication skills, sound judgment, and high emotional intelligence.
• A hands-on, outcome-oriented approach with the ability to operate effectively in a fast-paced, highly collaborative environment.

Nice-to-Have Qualifications (Desired but Not Required)

• Experience with generative AI, large language models, recommendation systems, personalization, optimization, forecasting, computer vision, or conversational experiences.
• Experience designing AI evaluation frameworks, experimentation strategies, or human-in-the-loop systems.
• Experience with responsible AI practices, including privacy, safety, fairness, explainability, and governance.
• Experience leading cross-functional product teams or mentoring product managers.

Education & Certification Requirements

• Bachelor’s degree in product management, computer science, engineering, data science, business, or a related field.
• Master’s degree in a technical, business, or related field.