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.