# Harini Rao Annamaneni > Product @ eBay | Shopping Experiences Location: San Francisco Bay Area, United States Profile: https://flows.cv/hariniraoannamaneni I build products at the intersection of payments, commerce, and AI — and I have a track record of turning complex technical bets into measurable revenue. At eBay, I spent 3 years as a Technical Product Manager owning the full transaction journey: checkout optimization, forms of payment, live shopping, auction buying experiences, and AI-powered recommendation systems. My work has generated over $250M in incremental revenue, driven a 10–15% lift in seller satisfaction, and introduced payment methods — Klarna, Venmo, Apple Pay — that reshaped how tens of millions of buyers transact. What sets me apart: I'm equally comfortable in a data warehouse and a design review. I've shipped risk-segmented buying flows built on behavioral ML models, launched BNPL integrations that increased average order value by 60%, and run 10+ A/B experiments inside the purchase funnel — all while aligning engineering, data science, design, and marketing around a shared roadmap. My technical foundation (Python, SQL, APIs, event tracking, data pipelines) means I don't just define requirements — I understand the systems underneath them. That depth lets me move faster, ask better questions, and build more trust with engineering.I'm drawn to roles where AI is not a feature but a foundation — whether that's personalization engines, intelligent checkout flows, search and discovery, or conversational commerce. If you're building the next generation of consumer financial products, payments infrastructure, or AI-native commerce experiences, I'd love to connect. Open to: PM roles in fintech, payments, e-commerce, and AI-native products. Based in the Bay Area. ## Work Experience ### Technical Product Manager @ eBay Jan 2023 – Jan 2026 1. Risk Modelling - Led a cross-functional team (Engineering, Data Science, Design) to launch a risk-segmented auction buying experience by leveraging behavioral modeling of historical purchase data; introduced targeted shipping and checkout flows, driving $50M incremental sales volume. 2. Intelligent Recommendation Platform: Drove the execution for a recommendation platform to present a single, highly-relevant recommended item including dynamic pricing and targeted user experience on checkout success page (XOS) that brought an incremental sales volume of $100M. 3. Live Stream Shopping - Drove roadmap and execution for core commerce enhancements on eBay Live, strengthening purchase transparency and transactional efficiency through policy visibility, promotional integration, multi-SKU merchandising, and streamlined checkout experiences. 4. Checkout optimization: Led multiple eng teams to test (10+ A/B test), enhancements to the purchase funnel, launch of new ‘buy again’ CTA on order details - unlocked an incremental sales volume of ~15MM and 3% increase in bought items. 5. Buyer experience - Owned the end-to-end delivery of a launching a new buyer experience involving collecting payment and other details prior to buyers bidding in auctions and offers flows that resulted in an incremental $100 million GMB and also increased the CSAT of new C2C sellers by 10-15%. 6. CRM & Onsite Messaging — Partnered with CRM to define requirements and personalize buyer-facing email and push notification experiences across offers, auctions, and payments flows. 7. Net terms for business buyers : Architected a comprehensive B2B payment strategy by evaluating and selecting top-tier Net Terms providers such as Affirm and TreviPay. ### Technical Product Manager @ eBay Jan 2022 – Jan 2022 Worked as an intern on the cart and checkout experiences team to ideate and implement a prioritisation framework based on ML signals and rule-based logic to show badges and signals in cart and checkout. ### Technology Assessment, Student Consultant @ Atlas High Purity Solutions Jan 2021 – Jan 2021 | Hanover, New Hampshire, United States •Collaborated with a team of 3 members to assess the range of IoT technologies that can be incorporated into commercial high purity water systems to improve service delivery. •Evaluated how IoT data can be leveraged to improve preventative maintenance and troubleshooting. •Delivered a formal recommendation to the client’s executive leadership team covering technical, financial and strategic insights relevant to incorporating IoT technology into its systems in the next 1-2 years. ### Business Technology Analyst @ Deloitte India (Offices of the US) Jan 2021 – Jan 2021 | Hyderabad, Telangana, India •Automated the end-to-end data pipeline using Python and SQL which reduced the data migration time from traditional to modern Salesforce system from 1 month to 2 weeks. •Saved the client $30M by migrating data, while working with international stakeholders. ### Project Manager @ Omdena Jan 2020 – Jan 2021 •Led a team of 50 collaborators to deliver an AI based solution to the client for preventing crashes and contributed to the UN Sustainable Development Goal to halve road deaths and injuries by 2030. •Formulated and implemented practices and metrics to measure team participation; boosted productivity by 20%. ### Product Management Intern @ NURSD Health Jan 2020 – Jan 2020 •Collaborated with design team to create wireframes, PRDs and user stories; improved user engagement by 30%. •Managed the data science team by coordinating sprints and resolving conflicts to develop the scheduling algorithm. •Guided front-end team on APIs to integrate with user dashboards andcreated the Minimum Viable Product (MVP). ### Associate Product Manager Intern @ Crafter,Inc Jan 2020 – Jan 2020 •Led a design sprint(Google Ventures model)with cross-functional teams to test a new online auditioning feature. •Conducted market research andSWOT analysis; devised marketing strategies that boosted user growth by 10%. •Optimised user workflow by 20% by reporting bugs to the QA team and performing usability testing. ### Software Engineer Intern @ EnLume Inc Jan 2018 – Jan 2018 Built a classification model for analyzing feedback on company’s products and services that increased customer satisfaction and decreased feedback response time by 20% ## Education ### Master of Engineering Management Dartmouth College ### Bachelor of Engineering in Computer Science Chaitanya Bharathi Institute Of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/hr0410 - Portfolio: https://harini-portfolio-sigma.vercel.app/ - GitHub: https://github.com/hbeanss009 - Portfolio: https://harini-portfolio-sigma.vercel.app --- Source: https://flows.cv/hariniraoannamaneni JSON Resume: https://flows.cv/hariniraoannamaneni/resume.json Last updated: 2026-04-18