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Aditya Saxena

Product Manager

Bengaluru, Karnataka, India4 yrs 5 mos experience
AI Enabled

Key Highlights

  • Expert in AI-driven product management.
  • Proven track record of enhancing user engagement.
  • Strong leadership in cross-functional team collaboration.
Stackforce AI infers this person is a Product Manager specializing in AI-driven solutions within the SaaS and Fintech industries.

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Skills

Core Skills

Ai Product Strategy & RoadmappingAgile & Scrum LeadershipRequirements & Backlog ManagementStakeholder Collaboration

Other Skills

Analytical SkillsBRDBankingBig DataBootstrapBusiness RequirementsCascading Style Sheets (CSS)Client RequirementsCommunicationCritical ThinkingData AnalysisData ManipulationData MiningData ModelingData Structures

About

As a Product Manager with over 4 years of experience specializing in AI-driven solutions, I translate complex business challenges into impactful digital products. My background in business analysis and agile delivery, combined with a strong understanding of machine learning principles, enables me to lead cross-functional teams, define product strategies, and drive the execution of AI products from ideation to launch. I've successfully managed complex product lifecycles, from scoping data needs and defining model requirements to prioritizing features and validating model performance. My approach combines user empathy, ML-specific data-driven decision-making, and iterative development to deliver products that solve real problems and create lasting value. Core Competencies AI Product Strategy & Roadmapping – Aligning business goals with user needs and technical feasibility to define and evolve product direction for AI and ML-based solutions. Requirements & Backlog Management – Translating insights into epics, user stories, and acceptance criteria tailored for AI models, focusing on model performance, data pipelines, and user-facing features. Agile & Scrum Leadership – Facilitating sprint planning, retrospectives, and backlog grooming to ensure timely delivery of both ML models and their integrated product features. Stakeholder Collaboration – Leading workshops, interviews, and feedback loops to align cross-functional teams, including data scientists, ML engineers, and business stakeholders. Data & Model Optimization – Using data drift analysis, model explainability (XAI), and performance metrics to streamline workflows and improve user experience. Data-Driven Insights – Leveraging SQL, Python (for data analysis), and Power BI to inform product decisions, measure model accuracy, and monitor success post-deployment. Documentation & Communication – Creating clear product specs, model cards, release notes, and user guides for seamless adoption and understanding of AI product capabilities. Model Validation & UAT – Coordinating model validation, UAT, and QA to ensure product quality and stakeholder satisfaction, with a focus on ethical AI considerations and bias detection.

Experience

4 yrs 5 mos
Total Experience
2 yrs 3 mos
Average Tenure
2 yrs 2 mos
Current Experience

Ebay

Product Manager

Apr 2024Present · 2 yrs 2 mos · Greater Bengaluru Area · Remote

  • 1. Led end-to-end product lifecycle management for AI-driven solutions, from ideation to launch and post-release optimization, driving a 20% increase in user engagement.
  • 2. Collaborated cross-functionally with engineering, design, data science, and marketing teams to define product strategy and prioritize features based on business goals and customer insights.
  • 3. Conducted market research and competitive analysis to identify emerging trends, influencing roadmap adjustments and new feature development.
  • 4. Facilitated Agile ceremonies, including sprint planning, backlog grooming, and retrospectives, ensuring timely delivery of high-quality features.
Business RequirementsRoot Cause AnalysisData ManipulationData VisualizationMicrosoft Power BIGap Analysis+13

Cognizant

Product Manager

Dec 2021Mar 2024 · 2 yrs 3 mos · Noida, Uttar Pradesh, India · On-site

  • 1. Spearheaded multiple product launches, managing cross-functional teams and aligning priorities across stakeholders to meet business objectives on schedule.
  • 2. Integrated customer feedback and quantitative data to refine product roadmaps and improve feature adoption by 25%.
  • 3. Developed dashboards and KPIs for real-time monitoring of product health and business impact.
  • 4. Mentored junior product managers and promoted best practices in Agile and lean product development.
LeadershipStatistical Data AnalysisIT Business AnalysisBankingSQLProject Management+12

Education

Sharda University

Bachelor's degree — Computer Science

May 2017May 2021

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