Short Description   DescriptionYou 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

Familiarity with big data technologies such as Apache Spark, Hadoop, or similar frameworks, GenAI use cases (e.g., LLMs, RAG, Model Context Protocol, Agents, AI Gateway), Model Development Lifecycle (e.g., MLOps).

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.

Strong business acumen and ability to translate technical capabilities into business value.

Certification in product management or related fields.