Product Manager - AI/ML

5-7+ years of proven experience in product management, with direct exposure to translating business strategy to AI/ML products. Solid grasp of artificial intelligence, machine learning, and related technologies. Strong familiarity with data science principles and practices. Hands-on experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Savvi AI, Sagemaker) is ideal. 4+ years working with cross-functional teams as a product owner in an agile development process. Exhibits a "fail fast" mentality using different types of experiments and research frameworks. Experience with Jira, SQL, and product analytics tools (Heap, Mixpanel, Amplitude). Proven track record of successfully launching and managing payments products. Experience building APIs, products, and complex systems at scale. Entrepreneurial and scrappy mindset, ability to thrive in ambiguous environments. Excellent communication skills to articulate complex AI and data concepts to non-technical stakeholders. Strong ability to present to C-level leadership and managing stakeholders. Deep analytics thinking and proven ability to interpret information to inform decision-making. Bachelor's Degree in a related field and/or relevant professional experience.

Set product vision and direction for AI/ML experiences. Identify opportunities for product unification and collaboration. Design and launch new products leveraging ML or AI. Own the Product Development Life Cycle from discovery to go-to-market. Serve as the product and customer expert. Partner with cross-functional teams (engineering, design, GTM) to define and develop product value proposition. Conduct market research and user analysis to identify product opportunities. Design and execute experiments to test hypotheses. Lead and influence others in a complex cross-functional environment. Drive the development process from ideation to launch, including requirements gathering and launch strategy. Define and prioritize product/feature backlog, develop epics, and write user stories. Create customer-facing and internal documents, presentations, articles, and training. Facilitate launch, adoption, and success of product go-to-market plans.