AI Product Manager

About DataWeave DataWeave provides Digital Shelf Analytics and Dynamic Pricing solutions to leading digital commerce businesses, enabling them to grow revenues and compete profitably.

Powered by AI , our platform aggregates and analyzes billions of publicly available data points from the web to deliver actionable intelligence. We help enterprises develop data-driven strategies and make smarter, faster decisions.

About the Role

We are looking for a Technical Product Manager to join our Products team at DataWeave.

You’ll play a key role in building and scaling our data-driven products that deliver timely, actionable insights to customers across industries. Our guiding principles are scale, impact, engagement, and visibility — and we’re looking for someone who thrives on these values.

You’ll drive multiple product modules end-to-end — from vision to execution — collaborating closely with cross-functional teams to deliver business impact through great product design and data intelligence.

Responsibilities

Own and drive multiple product modules such as Digital Shelf Analytics, Pricing Intelligence, Content Optimization, SKU Management , and internal tools.

Define and execute clear product vision, strategy, and roadmap in collaboration with leadership.

Conduct market and customer research to define requirements for new and existing products.

Partner with Engineering, Data Science, and UX / UI teams to ensure technical feasibility and user-centric design.

Manage the full product lifecycle — prioritization, release cycles, quality, and customer engagement.

Collaborate with Sales and Customer Success to align product goals with business objectives and go-to-market strategy.

Define success metrics, analyze product performance, and drive continuous improvement.

Stay on top of emerging AI / ML trends , technologies, and tools to inform roadmap decisions.

Advocate for responsible AI practices, data quality, and observability across product pipelines.

You Have

3–5 years of Product Management experience, preferably in a SaaS or data / AI-driven product environment .

Strong technical understanding of software, APIs, data systems, and AI / ML product concepts.

Experience collaborating with engineers and data scientists on technical trade-offs and performance optimization.

Excellent problem-solving, communication, and stakeholder management skills.

A customer-first mindset with the ability to translate complex data into business impact.

Passion for building scalable data products that solve real-world problems.