Senior Product Manager
Adobe · Bangalore, India · Posted 2026-07-01
Tech stack: Azure, Python
About the role
We are looking for a Senior Product Manager to drive the next generation of enterprise-grade capabilities within the AUP org. This role focuses on building intelligent, scalable platform capabilities across data, AI, and decision systems - enabling faster insights, improved operational efficiency, and measurable business outcomes. You will play a key role in crafting a modern data platform ecosystem, while advancing capabilities and agentic systems. You will own the end-to-end product lifecycle, from vision and strategy to implementation and adoption, while working closely with engineering, development, and business collaborators. The ideal candidate brings strong product intuition, systems thinking, and a track record of delivering impactful platform products at scale. What You’ll Do? Define product vision & strategy for enterprise data and AI platform capabilities. Own end-to-end product delivery, from discovery to launch, with clear prioritization, strong execution, and accountability for adoption and impact. Develop a deep understanding of the underlying technology stack. This includes distributed data systems, cloud platforms like Azure, modern data platforms such as Databricks, LLMs, and agentic architectures. Use this knowledge to inform product decisions and trade-offs. Prototype and validate ideas rapidly using modern approaches (e.g., dbt, Airflow, vibe coding, LLM-powered workflows) to accelerate learning and iteration. Drive enterprise adoption & collaborator alignment, partnering across cross-functional teams and influencing senior leadership through clear communication and strong product narratives. What You’ll Bring? Proven experience building and scaling data and AI-powered products Deep expertise in platform product management, with solid understanding of data platforms, LLMs, agentic systems, and ML/MLOps workflows Hands-on, builder approach, with comfort in rapid prototyping and a working understanding of ML models, Python, system architecture, and agentic frameworks. Strong analytical and problem-solving skills, with the ability to bring to bear data to drive prioritization, measure impact, and optimize outcomes. Experience crafting product vision and managing feature intake for complex platforms, balancing long-term strategy with near-term execution. Outstanding collaborator management and influence, with the ability to align team members. Proven ability to operate in fast-paced, ambiguous environments, bringing structure, clarity, and momentum to evolving problem spaces.
Qualifications
- Proven experience building and scaling data and AI-powered products
- Deep expertise in platform product management, with solid understanding of data platforms, LLMs, agentic systems, and ML/MLOps workflows
- Hands-on, builder approach, with comfort in rapid prototyping and a working understanding of ML models, Python, system architecture, and agentic frameworks.
- Strong analytical and problem-solving skills, with the ability to bring to bear data to drive prioritization, measure impact, and optimize outcomes.
- Experience crafting product vision and managing feature intake for complex platforms, balancing long-term strategy with near-term execution.
- Outstanding collaborator management and influence, with the ability to align team members.
- Proven ability to operate in fast-paced, ambiguous environments, bringing structure, clarity, and momentum to evolving problem spaces.
Responsibilities
- Define product vision & strategy for enterprise data and AI platform capabilities.
- Own end-to-end product delivery, from discovery to launch, with clear prioritization, strong execution, and accountability for adoption and impact.
- Develop a deep understanding of the underlying technology stack.
- This includes distributed data systems, cloud platforms like Azure, modern data platforms such as Databricks, LLMs, and agentic architectures.
- Use this knowledge to inform product decisions and trade-offs.
- Prototype and validate ideas rapidly using modern approaches (e.g., dbt, Airflow, vibe coding, LLM-powered workflows) to accelerate learning and iteration.
- Drive enterprise adoption & collaborator alignment, partnering across cross-functional teams and influencing senior leadership through clear communication and strong product narratives.