Product Manager Technical - Business Data Technologies, Business Data Technologies
Amazon · Bengaluru, Karnataka, India
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- On site
- Full-time
- $150,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Drive AI-powered data intelligence platform strategy.
- Own product vision for data discovery and interaction.
- Collaborate with engineering, ML, and design teams.
- Improve data access speed and decision-making efficiency.
- Define success metrics for user adoption and insights.
About the role
Product Manager Technical Business Data
Amazon employees need faster access to relevant data for decision-making. Currently, finding the right datasets among thousands of options requires technical expertise, and converting business questions into actionable insights takes significant time. Many employees rely on data analysts for routine queries, creating bottlenecks that slow business decisions.
The Data Intelligence Agent is Amazon's AI-powered data intelligence platform that enables employees to ask business questions in natural language and receive accurate insights without SQL knowledge. Search is the intelligent discovery engine that powers the Data Intelligence Agent's dataset recommendations, understanding organizational context, user roles, and team patterns to surface relevant data sources. Together, Search and the Data Intelligence Agent transform how Amazon employees interact with data, moving from technical barriers to conversational intelligence that enables faster, data-driven decisions.
Key job responsibilities
We are seeking a Product Manager Technical to drive product strategy and execution for Search and Data Intelligence Agent platforms. You will own the product vision for how Amazon employees discover and interact with data, working across engineering, machine learning, and design teams to deliver AI-powered capabilities that scale across diverse business contexts.
In this role, you will help transform how Amazon employees access and use data for decision-making. Your work will directly contribute to faster business decisions, improved operational efficiency, and Amazon's continued innovation through better data utilization.
- Product Strategy: Own 18-month roadmap for Search and Data Intelligence Agent platforms, balancing user needs, technical feasibility, and business impact
- Search Intelligence: Drive requirements for dataset recommendations based on organizational context, user roles, and team usage patterns
- Conversational AI: Define user experience for natural language data queries, including multi-turn conversations and query refinement
- Performance Optimization: Collaborate with engineering teams to achieve sub-second response times through caching, optimization, and intelligent routing
- Cross-functional Leadership: Work with engineering, ML, design, and business teams to translate requirements into product specifications
- User Research: Conduct studies to understand data discovery workflows and feature priorities across different roles and teams
- Metrics & Analytics: Define success metrics including user adoption, query success rates, and time-to-insight improvements
- Stakeholder Management: Engage with business teams to understand use cases, gather feedback, and drive platform adoption
Basic Qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred Qualifications
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
Our inclusive culture
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.
Key skills/competency
- Product Management
- Technical Product Management
- AI/ML Platforms
- Data Intelligence
- Search Technology
- Natural Language Processing
- Roadmap Strategy
- Cross-functional Leadership
- Stakeholder Management
- User Research
Skills & topics
- Product Manager
- Technical Product Manager
- Data Intelligence
- AI
- Machine Learning
- Search Technology
- Natural Language Processing
- Roadmap Strategy
- Cross-functional Leadership
- Stakeholder Management
- Amazon
- Business Data
How to get hired
- Tailor your resume: Highlight experience in product strategy, feature delivery, and technical product management, aligning with Amazon's needs.
- Showcase technical depth: Emphasize contributions to engineering discussions and experience with technical products or online services.
- Quantify achievements: Use data and metrics to demonstrate impact on user adoption, query success, and time-to-insight.
- Understand Amazon's culture: Research Amazon's leadership principles and inclusive hiring practices to align your application and interview responses.
- Prepare for behavioral questions: Anticipate questions about your experience with trade-offs, stakeholder management, and customer advocacy.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary goal of the Data Intelligence Agent at Amazon?
- The primary goal of Amazon's Data Intelligence Agent is to enable employees to ask business questions in natural language and receive accurate insights without requiring SQL knowledge, thus speeding up decision-making.
- What is the role of the 'Search' engine in the Data Intelligence Agent platform?
- The 'Search' engine is the intelligent discovery component of the Data Intelligence Agent. It provides dataset recommendations by understanding organizational context, user roles, and team usage patterns to surface relevant data sources.
- What is expected of a Product Manager Technical in this role at Amazon?
- A Product Manager Technical is expected to drive product strategy and execution for the Search and Data Intelligence Agent platforms, owning the product vision and working across various teams to deliver AI-powered capabilities.
- What are the key responsibilities for the Product Manager Technical at Amazon?
- Key responsibilities include owning the product strategy and roadmap, driving requirements for search intelligence and conversational AI, optimizing performance, leading cross-functional teams, conducting user research, defining metrics, and managing stakeholders.
- What are the basic qualifications for this Product Manager Technical role at Amazon?
- Basic qualifications include a Bachelor's degree, experience in owning roadmap strategy and definition, feature delivery, technical product management, contributing to engineering discussions, and advocating for diverse customers and stakeholders.
- What preferred qualifications would make a candidate stand out for this role at Amazon?
- Preferred qualifications include experience with analytical tools like Tableau, Qlikview, or QuickSight, and experience in building and driving adoption of new tools.
- How does Amazon support employees with disabilities during the hiring process for this role?
- Amazon provides workplace accommodations and adjustments during the application, hiring, interview, and onboarding processes for individuals with disabilities. More information can be found on their careers site regarding accommodations.
- What is the expected impact of this Product Manager Technical role on Amazon's business?
- This role directly contributes to faster business decisions, improved operational efficiency, and Amazon's continued innovation through better and more accessible data utilization.
- What kind of user research is involved in this Product Manager Technical position?
- The role involves conducting studies to understand data discovery workflows and feature priorities across different user roles and teams to inform product development.
- How is 'time-to-insight' measured and improved in this role?
- Time-to-insight is a key success metric defined and improved through product development, focusing on making data more accessible and understandable for Amazon employees through AI-powered tools.