Job Summary

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.

Senior Manager, Product Management

Team: Customer Technology

Location: Bengaluru (Hybrid)

What You'll Do

- Think big and work backwards from the customer: Imagine what a great shopping experience could look like, identify gaps in how we understand customers, and define what we need to build.
- Shape strategy, not just a roadmap: Challenge assumptions, solve ambiguous problems, and build a clear point of view on where to invest and why.
- Work at the cutting edge of AI/ML and data: Partner with ML, Data Science, Data Engineering, and Platform teams to build scalable products, balancing model quality, performance, reliability, and cost.
- Connect technology to customer impact: Work with Search, Recommendations, and other teams to turn customer intelligence into better shopping experiences, and validate the impact with experiments.
- See the bigger picture: Connect opportunities across teams, customer journeys, and businesses. Bring fresh thinking from industry trends and advances in AI.
- Navigate complexity and drive progress: Work across distributed teams with different priorities, build alignment, make trade-offs, and move things forward without waiting for perfect clarity.
- Own outcomes, not just delivery: Take products from discovery to launch and adoption,



measure real impact, and adapt based on what you learn.

What Were Looking For

- 9+ years of product management experience, with a track record of owning complex products and delivering measurable customer or business impact.
- Strong product thinking, with the ability to break down ambiguous problems, identify opportunities, and build a transparent strategy.
- Experience working with Engineering, Data Science, or ML teams on data-driven, platform, or algorithmic products.
- Strong analytical skills and experience using customer insights, data, and experimentation to guide decisions.
- Ability to understand technical concepts and trade-offs, while staying focused on customer problems and business outcomes.
- Strong communication and collaboration skills, especially when working across multiple teams and stakeholders.

Nice to Have

- Experience in e-commerce, personalization, search, recommendations, or customer data products.
- Familiarity with customer embeddings, intent modeling, recommender systems, or cold-start personalization.
- Experience building ML-powered products or reusable data and intelligence platforms.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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