My Investment Focus
I’ve had the opportunity to invest in some amazing startups. My investment strategy is vertical agnostic, but mostly SaaS.
I combine a technical foundation as a former engineer with hands-on experience as a founder, operator, and investor. My focus is on helping startups move from early product to real, repeatable revenue, and always with an eye toward building sustainable, long-term value.
Currently, I’m especially interested in backing founders who are building:
- Dev tools that reshape how engineers work
- Platforms for reliable, production-grade AI deployments
- Smart copilots that automate complex workflows for the world’s largest companies
My approach is shaped by my work at OpenAI, Scale AI, and across the enterprise stack. I partner best with pragmatic, ambitious teams who combine technical rigor with real go-to-market strategy, and who want to build solutions that deliver measurable enterprise impact.
What I Typically Look for In A Startup
- I invest in enterprise SaaS and category-defining AI moonshots
- I focus on Seed, Seed-extension, and Series A rounds
- For SaaS, I look at early signs of traction: ARR scale, growth velocity, and strong net dollar retention
- I’m especially interested in teams solving real pain points with AI-native workflows and have potential for defensible moats
- I gravitate toward founder-market fit, technical depth, and clear GTM focus
What I Offer Startups
End-to-End Founder Perspective
As a former founder, I’ve built products and teams from scratch, directly owning everything from ideation and customer discovery to launches, sales, hiring, and fundraising. I know what it means to live every aspect of the founder journey, and I bring a hands-on, solutions-oriented mindset to every challenge.
Founder Empathy & Peer Mentorship
Having sat in the founder’s seat myself, I approach every relationship as a peer, not just an advisor. I’m here to listen, share hard-won lessons, and offer practical guidance when things get tough—not just when they’re going well.
Full-Stack AI Operator Experience
With experience at Apple, Amazon, Scale AI, and OpenAI, I understand the technical, product, and organizational hurdles of building and scaling complex AI systems. I bring a practical operator’s view to bridging R&D, engineering, and product for real-world impact.
Enterprise Go-To-Market Playbooks
I’ve led go-to-market and sales at startups and large AI companies—turning pilots into multi-million dollar deployments, accelerating adoption, and building scalable processes for sustained growth. I help founders translate technical innovation into repeatable, enterprise-grade sales motion.
Investment Thesis
Agentic Dev-Tooling Stack
I believe the future of enterprise software development will be fundamentally reshaped by agentic, LLM-powered developer tools such as always-on copilots that accelerate code authoring, test generation, CI/CD, and remediation at scale. I see how next-generation developer tooling can unlock both individual and organizational productivity, reduce time-to-market, and dramatically lower the cognitive load on engineering teams. I back founders building AI-driven products that embed directly into developer workflows, integrate with existing DevOps stacks, and provide clear, quantifiable value to both ICs and CTOs.
The companies that win in this space will create indispensable platforms for secure, explainable, and adaptive code generation and review.
Interested in partnering?
Let’s connect and explore how I can help your startup succeed.
Contact Me