Aditya Saxena
@adityasaxena
Product manager driving AI-driven features, growth, and cross-functional delivery.
What I'm looking for
I am a product manager with hands-on experience leading cross-functional teams to deliver AI-driven SaaS and fintech products that improve engagement, conversion, and revenue. I prioritize data-driven roadmaps and user-centered design to solve high-impact customer problems.
At Alvarez & Marsal and Cognizant I led teams to launch recommendation engines, payment platforms, and cloud solutions, generating multimillion-dollar outcomes, reducing costs, and improving retention and satisfaction metrics. I champion agile practices and close collaboration with engineering and data science.
I enjoy mentoring teams, driving strategic prioritization, and shipping outcomes ahead of schedule; I seek roles where I can scale product impact through personalization, analytics, and cross-functional leadership.
Experience
Work history, roles, and key accomplishments
Product Manager
Alvarez & Marsal
Apr 2024 - Present (1 year 6 months)
Led a cross-functional team of 10 to launch a SaaS feature that boosted user engagement 25% in 6 months and directed an AI-driven recommendation engine that increased conversion rates 18%, generating $2.5M incremental revenue.
Established cross-functional teams to resolve product bottlenecks reducing backlog 40%, secured $2M in project funding through executive presentations, and led cloud platform development achieving 30% infrastructure cost reduction.
Product Manager
CapitalVia Ltd
Jan 2021 - Dec 2021 (11 months)
Led cross-functional teams to implement an AI-driven personal finance recommendation engine increasing active user engagement 22% and launched a digital payments platform that processed over 500 crore in transactions in its first year, growing customer acquisition 30%.
Education
Degrees, certifications, and relevant coursework
Sharda University
Bachelor of Technology, Computer Science
2017 - 2021
Grade: 7.27
Completed a Bachelor of Technology in Computer Science with coursework in operating systems, data structures, algorithms, AI, machine learning, networking, and databases.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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