Looking for a job

Sai Varshini Papineni

@saivarshinipapineni

Associate PM in higher-ed tech (Canvas, Banner, Workday). Shipped 90% of releases on time, lifted adoption 15%. Eager to build AI-powered edtech.

India

Message

What I'm looking for

I'm looking to lead AI product discovery, adoption, and responsible governance, translating stakeholder needs into measurable outcomes through pilots, product strategy, and data-driven evaluation.

Associate Product Manager with experience in higher-education technology, working across student, faculty, and administrative platforms (Canvas, Banner, Workday, Slate).

Skilled at turning user research from 24+ interviews and 200+ survey responses into prioritized backlogs and roadmap decisions, and at partnering with developers, designers, and IT to ship on schedule (90% on-time delivery).

Uses AI tools such as ChatGPT, Claude, and Microsoft Copilot to speed up research synthesis and reporting, and tracks adoption and support data to drive measurable improvements (15% higher feature adoption, 20% fewer support tickets).

Experience

Work history, roles, and key accomplishments

Associate Product Manager

Florida International University

Mar 2023 - Apr 2025 (2 years 1 month)

Conducted 24 interviews, 3 surveys and 8 usability tests; analyzed 200+ responses using AI-assisted workflows. Managed a 120+ item backlog across 14 sprints with developers, designers and QA. Coordinated Canvas, Banner, Workday and Slate vendors, tracked adoption and support trends in Tableau/Excel, researched competitors, and presented insights to stakeholders.

Support Mentor

Make A Difference (MAD)

Mar 2019 - Jul 2022 (3 years 4 months)

Analyzed program and impact data across 60+ shelter homes, tracking outcomes for 500+ children. Built M&E dashboards in Google Sheets and Power BI, and tracked engagement and dropout rates for 200+ volunteers.

Data Analysis Google Sheets Power BI Monitoring and Evaluation Dashboarding Program Evaluation Stakeholder Reporting

Product Intern

Universal Tribes

Jul 2020 - Sep 2020 (2 months)

Product Intern at Universal Tribes: built 6 real-time Mode dashboards, cutting weekly reporting by about 4 hours. Cleaned 50,000+ records for an ML pricing system (15% better accuracy) and flagged 30+ price anomalies before they reached customers. Logged 40+ bugs in Jira across 3 releases, and ran 12 user interviews that helped prioritize 5 roadmap items.

Product Management Catalog Management Competitive Analysis User Research Google Analytics Google Sheets Data Tracking Conversion Tracking