Amazon Photos helps consumers preserve and relive their memories. The service comes with unlimited photo storage for Prime members and is one of the largest used Prime benefits in 8 countries around the world. Amazon Photos apps are available on iOS (4.8 rating) Android (4.7 rating) Web Desktop Fire Tablet & Fire TV. The service is also integrated into Alexa devices such as Echo Show and Fire TV and powers the ambient and AI-driven experiences on these 2025 the business released new natural language search integrated with voice-based experiences on Alexa and is building a variety of AI-powered experiences that are in the process of being released to customers.
We are hiring a Principal Product Manager Technical to lead product strategy for Amazon Photos AI and media intelligence capabilities. This is a high-impact high-autonomy role: you will be the sole Product Manager embedded within our Bangalore engineering organization driving vision and roadmap for our most strategic technology investments. You will operate with significant independence while partnering closely with US-based product leadership to ensure alignment with Amazon Photos global strategy. As the only PM in Bangalore you will also steward product culturementoring engineers on product thinking and fostering customer obsession. This role offers significant growth potential.
You will own product strategy for three critical areas: advancing face clustering to help customers organize photos of the people who matter most; launching pet detection and clustering to extend these features to the pets in customers families; and pioneering semantic understanding for video to unlock new ways to search and rediscover memories. Beyond these you will pursue high-priority opportunities as the AI/ML landscape evolves.
Were looking for an entrepreneurial leader who thrives in ambiguity brings clarity to complex technical initiatives and earns trust as a genuine partner to engineering and science teams. The right candidate has a passion for photos and video understands the emotional weight of personal memories and is motivated by helping customers preserve and rediscover the moments that matter most.
Key job responsibilities
Define and drive product vision strategy and roadmap for AI-powered media intelligence including face clustering pet detection and clustering and video semantic understanding
Serve as product leader for the Bangalore engineering organization providing strategic direction prioritization and day-to-day decision-making
Operate with high ownership while collaborating closely with US-based product leadership across time zones
Partner with engineering and applied science teams to translate ML and computer vision capabilities into delightful customer experiences
Define success metrics analyze data and iterate to improve accuracy performance and customer satisfaction
Collaborate with Amazon Photos Alexa Echo Show and Fire TV teams to ensure AI capabilities integrate seamlessly across Amazons ecosystem
Identify and pursue opportunities that advance Amazon Photos mission
Represent the Bangalore organizations capabilities and roadmap to senior leadership
A day in the life
Your day starts with a US product leadership sync before collaborating with Bangalore engineering & applied science partners. You might analyze face clustering accuracy debate whether we can distinguish a customers golden retriever from their neighbors or write requirements for video semantic search. You end the day knowing your features will help a parent find every photo of their childs first year or someone rediscover a video of a pet they miss. No two days look the same. The AI is pioneering the problems are complex and the impact is real. Every day youre helping millions keep cherished memories alive.
- 8 years of technical product management program management or engineering experience
- Experience shaping business strategy for technical products or services for large enterprises or partners
- Experience managing and deploying ML products
- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units
- Bachelors degree in Business Computer Science Engineering or related field
- Demonstrated ability to operate independently with a high degree of ownership
- Masters degree or PhD in Computer Science Machine Learning or related field
- Experience with computer vision technologies (image recognition clustering video understanding)
- Experience working across time zones in globally distributed organizations
- Experience in consumer photo video media or content platforms
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