Key Responsibilities
- 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.
Expectation
- 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.