20+ years leading global technology initiatives at the intersection of AdTech, AI, and platform ecosystems. I turn complex partnerships and technical programs into measurable business outcomes.
I've spent 20+ years sourcing, negotiating, and scaling complex product partnerships end-to-end across consumer internet, search, and mobile. My career began in the early days of digital advertising, and as one of Google's Top 100 Advertisers, I helped pioneer the tooling and strategies that shaped the modern adtech landscape.
As VP at Nativex (a Mobvista company), I reported directly to the CFO, spearheading global initiatives in privacy compliance, data security, market expansion, and complex product partnerships. I led the company's engagement with US federal regulators on data privacy and national security compliance following the cross-border acquisition, negotiating a compliance framework that included data localization, third-party audits, and ongoing reporting obligations. I oversaw the rollout of enterprise MarTech, DevSecOps, and CRM systems across 20 offices and 1,000+ employees, while managing end-to-end commercial agreements in close partnership with Engineering, Legal, and Finance.
I bring a rare combination: deep technical fluency, from SDK/API integrations and algorithmic bidding systems to hands-on work with AI and automation tools, paired with senior commercial leadership, including being part of the leadership team that successfully exited the company to Mobvista and subsequently navigated the Mobvista IPO on the Hong Kong Stock Exchange.
Today, I'm applying this partnership pattern recognition to the rapidly evolving AI/LLM ecosystem, building practical familiarity with provider capabilities, pricing models, and integration tradeoffs. I'm based in Minnesota and open to remote, hybrid, and travel-friendly opportunities.
From pioneering search engine marketing to leading global platform strategy through an IPO.
End-to-end deal architecture from term sheet through implementation. Complex multi-party negotiations with platform partners, data providers, and measurement vendors across global markets.
Enterprise-scale technology rollouts (MarTech, DevSecOps, CRM) across distributed organizations. Agile delivery with cross-functional alignment between Engineering, Product, and Business stakeholders.
Federal regulatory compliance, cross-border data governance, and privacy architecture in regulated environments. GDPR/ATT response, IPO-grade risk mitigation, and data localization frameworks.
Deep expertise across the programmatic advertising ecosystem: attribution, measurement, mediation, and monetization. SDK/API integration strategy for publishers and merchants at scale.
AI/LLM provider evaluation, multi-model portfolio architecture, and integration strategy. Hands-on builder with practical fluency in pricing models, cost optimization, and the provider tradeoffs that underpin AI product partnerships.
Leading distributed teams across 20+ offices internationally. Cross-cultural commercial execution, international market expansion, and M&A integration experience.
Topics at the intersection of technology partnerships, AI, and the evolving platform ecosystem.
Vendor evaluation, deal structuring, cost optimization, managing competing and complementary relationships. The AI provider landscape mirrors what I navigated in mobile adtech, but moves faster. The best AI integrations are designed for change with built-in optionality: multi-model routing, provider-agnostic abstractions, and contract structures that anticipate capability shifts.
I spend time evaluating models, integrating APIs, and shipping automation workflows in real products. That hands-on operator perspective, combined with 20+ years of technology partnership pattern recognition, helps me separate hype from practical fit across capability, cost, and implementation risk.
Companies that build data governance into their AI architecture from the start will win the partnerships that matter. After leading federal regulatory engagement, cross-border data compliance, and platform privacy responses, I see privacy as the foundation that makes ambitious AI integrations possible — not the constraint that limits them.
After years leading the company's response to GDPR, Apple ATT/SKAdNetwork, and evolving platform policies, I see privacy as a product advantage, not a compliance burden. As AI introduces new data considerations, the companies that build trust into their architecture from the start will win.
I'm actively exploring my next opportunity. Whether you're a hiring manager, recruiter, or someone who shares these interests, I'd love to connect.