HwaYoon Choi

* Product Manager (Contract) | 2025.01 - Present

* Product Management Intern | 2023.12 - 2024.12

Go-to-Market & Product Launch

• Supported go-to-market strategy for a new AI-enabled product version launch, driving cross-functional alignment across Sales, Marketing, and R&D to define launch readiness criteria, market-entry timing, and segment-level messaging.
• Supported the identification of strong latent demand for AI-powered premium products in India through on-the-ground seminars with local sales teams, directly challenging the prevailing assumption that emerging markets only require low-cost solutions; partnered with local distributors to develop tailored go-to-market packages and contributed to securing MOUs with key anchor accounts, contributing to measurable revenue growth.
• Contributed to a KRW 10B (~$7.5M) Korea market revenue program by identifying and onboarding new channel partners, leading product briefings and Q&A sessions, and co-designing phased milestones with the local sales organization to drive progress toward the annual target.
• Supported the product team at APJ regional seminars and industry exhibitions by managing product logistics and preparing technical documentation; captured field insights to assist in identifying market intelligence for product strategy and marketing planning.

Portfolio Strategy & Market Insights

• Owned product portfolio lifecycle strategy, especially specialized in Phase-out stage, across all mid-to-low range lines, a previously unstructured area; partnered with Product Marketing to synchronize discontinuation timelines with new product launches, eliminating coverage gaps and ensuring continuous market presence across segments.
• Evaluated successor product readiness against the specific needs of each market segment during portfolio transitions, delivering structured input on feature gaps and launch timing to development and marketing teams.
• Built a scenario-based supply and demand analysis (best/worst case) for a strategic product platform by integrating SCM reports, global pipeline data, and bottom-up field forecasts; presented to cross-functional leadership (SCM, Finance, Sales, Marketing) and drove a phased market exit strategy that safeguarded key B2B distributor relationships and downstream revenue.
• Developed regional long-term planning (LTP) models incorporating market-specific characteristics, which became the foundational reference for annual budget negotiations across Finance, Sales, and Product teams.

Cross-functional Communication & Operations

• Standardized product configuration and pricing processes across all product lines, becoming the dedicated point of contact for ordering infrastructure and Product Marketing teams; improved consistency and eliminated update gaps that had previously caused miscommunication across regions.
• Served as the central knowledge hub for global Sales and Marketing teams across multiple regions, translating complex product specifications into clear messaging and enabling effective customer-facing communication.
• Developed a business case presentation for a strategic vendor partnership involving innovative technology, producing content detailed enough to be repurposed directly as a marketing asset.
• Contributed to a data infrastructure initiative that migrated product specifications and documentation from fragmented PDF/email workflows into a centralized database, accelerating access and reducing manual workload for Marketing and Sales teams.
• Built a Power BI dashboard enabling version-level analysis of the installed product base, a capability previously unavailable to the product team, improving data-driven planning.

• Drove 10%+ growth in corporate subscriptions for trade platform Tribig within one month by conducting user surveys to identify content inaccessibility as the root cause of stagnation, then proposing and executing a storytelling-based content campaign (webtoon card news and scenario videos) built on existing success cases, at zero additional budget.
• Generated user insights at a trade big data platform, going beyond standard outputs to cross-reference company profiles with trade data and surface high-relevance matches; improved recommendation quality and user outcomes through data-driven personalization.
• Enhanced platform data quality by optimizing company keyword profiles and registration accuracy, increasing the precision of buyer-seller matching at scale.