Principal Product Manager - Tech, Agentic Shopping Experience
ASSPL - Karnataka, Bengaluru, Karnataka, IND
ASSPL - Karnataka, Bengaluru, Karnataka, IND
We are hiring a Principal Technical Product Manager to define and deliver an AI-powered experience that transforms how customers discover, evaluate, and purchase. You will leverage AI to generate and surface rich, multi-modal content, build personalized and immersive experiences, and seamlessly integrated multi-lingual text and voice interactions.
As the senior product leader for this charter, you will own product strategy, roadmap, and requirements; align stakeholders across the globe; and drive rapid experimentation to continuously raise the bar on delight, relevance, and conversion. You will develop deep expertise in LLM-based automation and agentic system architectures to make informed technical decisions and set a durable product vision.
This is a high-ambiguity, high-impact role at the frontier of applied AI in retail — ideal for a builder who thrives in a fast-moving, dynamic landscape.
The IES Agentic Shopping team is defining the future of shopping for emerging markets by building AI-powered shopping experiences. We bring contextual intelligence, hyper-personalization, and multi-modal, vernacular experiences to the customer's everyday shopping journey — making it delightful and effortless.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We operate with startup like velocity, prioritizing talent acquisition, hands on leadership, and flexible organization. We care about your career growth and strive to assign projects that help our team members develop your expertise so you feel empowered to take on more complex tasks in the future.
Define and own the product strategy, vision, and multi-year roadmap for AI-powered agentic shopping experiences in emerging markets.
Translate strategy into clear requirements, driving execution across global engineering and science teams.
Develop deep knowledge of LLM-based automation and agentic system architectures to inform product and technical decisions.
Drive a culture of rapid experimentation (A/B testing, prototyping) to continuously improve delight, relevance, and conversion.
Align and influence stakeholders across engineering, science, design, and business leadership; balancing competing priorities across multiple workstreams.
Represent the voice of emerging-market customers, grounding the roadmap in real customer behavior and needs.
Key job responsibilities
It is in our nature to learn and be curious. We foster a culture of inclusion that empower us to be proud of our differences.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career advancing resources here to help you develop into a better rounded professional.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon.com Services LLCSeattle, Washington
$180K–$243K / yr
Posted 26 days ago
checked 2 days agoCenterfieldLos Angeles, California
$140K–$155K / yr
Posted Sep 17, 2026
Amazon.com Services LLCNew York, New York +2
$180K–$280K / yr
Posted Jun 12, 2026
checked 2 days agoAmazon.com Services LLCSeattle, Washington
$180K–$243K / yr
Posted Oct 9, 2026
checked 2 days agoAmazon.com Services LLCSeattle, Washington
$180K–$243K / yr
Posted Sep 17, 2026
checked 2 days agoLTK USAUnited States
Pay not posted
Posted 15 days ago
Source: amazon.jobs. We last checked this job 2 days ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now.