Aditya Saxena

About Aditya Saxena

As a Product Manager with over 5 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 CompetenciesAI 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

1. Ai Product Manager

   Glydways

   Apr 2024 — Present

   Owned the full Product Life Cycle Management (PLCM) for a core AI SaaS solution, overseeing a team of 15+ and driving optimization post-launch that boosted user engagement by 20% and improved product stickiness by 15% within 9 months.2. Defined the comprehensive Product Strategy and multi-quarter Product Roadmap by synthesizing Competitive Analysis and deep User Research; collaborated with Data Science and Engineering teams to prioritize features that successfully increased conversion rates by 7% across E-commerce and Marketplace platforms.3. Leveraged Market Research and ongoing Competitive Analysis to identify and incorporate key AdTech and OTT trends into the Product Roadmap, leading to the Product Launch of a new Generative AI targeting feature that captured $1.2M in new annual recurring revenue.4. Expertly facilitated Agile/Scrum ceremonies (sprint planning, backlog grooming, retrospectives) for 3 cross-functional teams (Data Science, Engineering) to accelerate development, resulting in a 25% reduction in time-to-market for high-priority FinTech/Banking and Investment Banking compliance features.

Education

• Sharda University

  Bachelor's degree