Reported to the CEO and ran both Partnerships and Demand Gen.

• Enterprise pipeline: made enterprise meetings the core metric and took them from 6 to 10 a week; analyzed 4,639 sales calls to define the enterprise ICP.
• Funnel and execution: built the funnel and lead attribution, found where leads dropped before a meeting, launched the enterprise inquiry path on the website, and ran the ad agency, SEO vendor and weekly tracking board.
• Partnerships: interviewed 8 core partners, reviewed partner and commission history, sorted partners into 5 types by model, designed the new partner program and started 2 pilots.

Reported to the CEO, working on North America strategy, investor communication and internal operations.

• Strategy: worked with the CEO on North America strategy and org design; set up a biweekly strategy memo that turned customer, open-source, partner and competitor signals into management decisions.
• Management communication: drafted board and investor updates and set up the leadership meeting and weekly report rhythm.
• Internal AI: built market research and reporting workflows with Claude Code and Codex, and got business teams using them.
• Market intelligence: produced market and strategy analysis every 1 to 2 weeks, turning North America GTM progress, developer adoption and enterprise AI signals into recommendations on ICP, positioning, product narrative and partner strategy.
• Investor follow-ups: mapped strategic relationship opportunities and turned selected partnership conversations into CEO-level investor follow-ups.

First US-based GTM hire. Built North America sales from zero before the company had a sales team, owning prospecting, channels, closing and post-sale.

US SaaS ARR grew to about $3M over the same period.

• Enterprise deals: closed $400K personally across education, fintech and AI customers, some through AWS Marketplace.
• Buyer and pipeline: moved the target buyer from individual developers to IT leaders of mid-to-large enterprise AI platforms and rewrote the narrative around governance, compliance and maintenance; ran email and LinkedIn outreach and worked AWS Summit and NVIDIA GTC on site.
• Channels: completed product integrations and co-marketing with AWS, Bright Data and Tavily, and worked with OEM and co-sell partners.
• Technical sales: covered both pre-sales and sales, including solutions, demos and POCs, handled security questions such as SOC 2 and SSO, and led pricing negotiation.
• Ecosystem: mapped 50+ US AI, developer-tools, cloud and startup ecosystem contacts and developed selected relationships.

Helped Chinese brands test and enter the US market, owning market research, positioning and localization.

• Market validation: designed TikTok product tests and live-stream programs, using two months of content and live campaigns to assess product-market fit and conversion.
• Growth experiments: built paid and content test loops across TikTok, Instagram and Facebook, and used Google Analytics to improve pricing and payment conversion.
• Localization: assessed how products fit US users and consumer contexts, and set up localization strategy, content testing and growth channels.