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Ruhani Arora

@ruhaniarora

Product manager skilled in discovery, execution, and cross-functional delivery.

India
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What I'm looking for

I seek a product role at an early-stage startup where I can lead discovery, prioritize roadmap impactfully, collaborate cross-functionally, and deliver measurable activation and adoption improvements.

I am a product management professional who turns ambiguous problems into structured plans and shipped outcomes for early-stage SaaS and consumer startups.

I have led market and competitive analysis, mapped user journeys, and reduced onboarding friction and team ramp time through clear documentation and prioritized roadmaps.

My hands-on execution includes authoring user stories and requirements in Notion/Jira, producing wireframes in Figma, and accelerating engineering cycles while prioritizing high-impact features.

I collaborate across engineering, marketing, sales, and operations to improve activation, adoption, and product clarity, and I focus on measurable impact in fast-paced startup settings.

Experience

Work history, roles, and key accomplishments

MF

Founder's Office Intern

Maison De Fouzdar

Jul 2025 - Aug 2025 (1 month)

Implemented an end-to-end content pipeline increasing output 40%, managed multi-platform catalog operations, and coordinated packaging and fulfillment for priority clients with 100% accuracy.

XE

Founder's Office Intern

Xotic Essentials

Jun 2025 - Jun 2025 (0 months)

Diagnosed branding and growth gaps and built an AI-driven visual system that standardized 75+ assets, reducing content production time by 60% and driving influencer and partnership pipelines.

Education

Degrees, certifications, and relevant coursework

VS

Vivekananda Institute of Professional Studies

Bachelor of Computer Applications, Computer Applications (AI/ML)

Activities and societies: Planned and executed logistics for TEDx (500+ attendees); conducted stakeholder interviews to inform messaging for a national hackathon.

Pursuing a Bachelor of Computer Applications with a specialization in AI/ML, focusing on applied machine learning and software development for intelligent systems.

Tech stack

Software and tools used professionally

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