• Owned growth initiatives for Shopify’s B2B commerce platform, driving roadmap priorities that improved merchant activation, engagement, and retention across 12k+ wholesale merchants.

• Led A/B testing on reorder and checkout workflows, defining success metrics that resulted in 12–15% improvement in merchant retention and higher repeat purchase rates.

• Designed and optimized growth loops (guided onboarding, contextual nudges, payment terms upsells), contributing to consistent single-digit MoM engagement growth and increased merchant LTV.

• Analyzed 50k+ merchant interactions per experiment using internal dashboards and Excel, identifying funnel drop-offs in company account setup and reducing abandonment by ~18%.

• Identified high-intent merchant signals (bulk orders, custom price lists) and improved conversion touchpoints, contributing to higher feature adoption across API-driven B2B capabilities.

• Partnered with engineering and UX to ship scalable, API-first features (Bulk Order API, Company Accounts), used by thousands of B2B buyers and improving platform performance by ~25%.

• Collaborated with merchant success and sales teams to support feature launches tied to retention campaigns, improving activation efficiency of new B2B merchants by low double digits.

• Owned cross-functional execution from discovery through launch, coordinating with engineering, design, product marketing, and data science teams across 3 continents.

• Partnered with legal and compliance teams to embed GDPR and data privacy guardrails into B2B workflows, enabling compliant deployment across enterprise merchant segments.

• Presented product performance and experiment outcomes to senior leadership, influencing roadmap prioritization and growth investment decisions tied to merchant GMV and retention.

• Owned feature-level product requirements for internal inventory APIs and seller-facing dashboards, driving adoption and reliability across 10k+ internal users and 8k active sellers.

• Led backlog prioritization and trade-off decisions, reducing post-release defects by ~18% and improving sprint predictability by 15–20% across 5 scrum teams.

• Partnered with engineering to redesign backend services and API endpoints, reducing P99 latency by ~25% and supporting 5M+ daily API calls without performance degradation.

• Analyzed operational metrics (dashboards, logs, KPIs) to track feature adoption and system health, identifying 10+ optimization opportunities that informed quarterly roadmap.

• Improved seller dashboard engagement by ~15% through funnel analysis on inventory health alerts, reducing out-of-stock events and contributing to higher seller retention.

• Led discovery sessions with internal users and sellers, translating behavioral insights into self-service reporting features that increased monthly active users by ~20%.

• Supported experimentation initiatives by assisting with A/B test planning on order-fulfillment workflows, contributing to measurable reduction in seller support tickets (~22%).

• Authored detailed PRDs, user stories, and acceptance criteria while supporting sprint planning, enabling delivery of 8+ major API enhancements annually with predictable execution.

• Partnered with customer support and operations teams to incorporate real-world feedback, reducing recurring issues and improving overall user experience for inventory management.

• Contributed to quarterly roadmap planning and stakeholder reviews using Amazon’s 6-page narratives, ensuring alignment between technical investments and business goals for seller growth.