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Annie DavidAD
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Annie David

@anniedavid

Product manager building AI-driven SaaS products that drive growth.

India
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What I'm looking for

I seek product roles where I can lead AI-driven product strategy and execution, partner cross-functionally, and drive measurable growth and retention.

I am a product manager focused on delivering AI-enabled B2B and B2C SaaS solutions that improve revenue, retention, and operational efficiency. I have owned product strategy, roadmaps, and end-to-end delivery for streaming and HRTech platforms, shipping 15+ customer-facing features and driving measurable outcomes such as a 27% revenue increase and a 21% retention improvement.

I partner closely with engineering, design, and sales to translate customer needs into scalable products, build internal platforms (CRM, PM tooling) and AI capabilities (content moderation, chatbots, LLM-driven assistants). I prioritize discovery, experimentation, and data-driven decision-making, and have led initiatives that increased acquisition by 35% and retention by 48% in prior roles.

Experience

Work history, roles, and key accomplishments

MU
Current

Product Manager

Muvi

Feb 2025 - Present (1 year 4 months)

Owned product strategy and delivery for a B2B streaming SaaS platform, delivering 15+ customer-facing and internal features and building AI capabilities that reduced operational overhead. Drove product improvements that contributed to a 27% revenue increase and 21% improvement in customer retention.

VA

Associate Product Manager

Vasitum

Jan 2024 - Jan 2025 (1 year)

Owned product discovery and execution for a core HRTech platform, leading 7 end-to-end initiatives from ideation to production and defining roadmaps, PRDs, and GTM plans. Drove continuous customer discovery and experimentation that increased customer acquisition by 35% and improved retention by 48%.

Education

Degrees, certifications, and relevant coursework

Bennett University logoBU

Bennett University

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology in Computer Science and Engineering with a focus on Artificial Intelligence, completed in 2024.

Tech stack

Software and tools used professionally

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