JobID: 210617333 Category: Product Management JobSchedule: Full time Posted Date: 2025-05-15T19:39:22+00:00 JobShift: Base Pay/Salary: Jersey City,NJ $122,550.00-$201,000.00; New York,NY $122,550.00-$201,000.00 You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Chief Data & Analytics office Data Infrastructure Team, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. The Product Manager for AI/ML Enablement at Databricks is responsible for guiding the strategic direction and execution of AI and machine learning initiatives on the Databricks platform. This role involves collaborating with cross-functional teams, including engineering, data science, marketing teams, to develop and deliver innovative solutions that empower customers to harness the full potential of AI/ML technologies on Databricks. The Product Manager will play a key role in defining product roadmaps, prioritizing features, and ensuring successful product launches that meet customer needs and drive business growth. Job responsibilities * Develops a product strategy and product vision that delivers value to customers * Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap * Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition * Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability * Conducts market research and gather customer feedback to identify opportunities for product enhancements and new offerings. * Defines product requirements, create detailed specifications, and prioritize features based on customer impact and business value. * Partners closely with marketing and client engagement teams to develop go-to-market strategies and support product launches. * Serves as a subject matter expert on AI/ML technologies and trends, providing guidance and insights to internal teams and customers. Required qualifications, capabilities, and skills * 5+ years of experience or equivalent expertise in product management or a relevant domain area * Advanced knowledge of the product development life cycle, design, and data analytics * Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management * Strong understanding of AI/ML technologies, data science, and cloud computing platforms. * Experience with Databricks or similar data engineering and analytics platforms. * Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. * Strong analytical and problem-solving skills, with a data-driven approach to decision-making. * Ability to manage multiple projects and priorities in a fast-paced environment. Preferred qualifications, capabilities, and skills * Demonstrated prior experience working in a highly matrixed, complex organization * Experience with agile development methodologies and tools. * Familiarity with big data technologies such as Apache Spark, Hadoop, or similar frameworks. * Familiarity with GenAI use cases (e.g., LLMs, RAG, Model Context Protocol, Agents, AI Gateway) * Familiarity with Model Development Lifecycle (e.g., MLOps) * Strong business acumen and ability to translate technical capabilities into business value. * Certification in product management or related fields.