Enterprise sales leader | AI-native GTM operator | Pittsburgh, PA

I help enterprises turn technical platforms and AI capabilities into real adoption, strategic value, and revenue.

I have spent the last 15 years selling analytics, data, and software platforms, most recently helping build Posit's enterprise Life Sciences and Healthcare business into one of the company's most important segments. Outside of work, I use modern AI tools to build projects that keep me close to how technology is changing.

I like using new technology to turn curiosity into something real.

Work

Built around technical products, executive alignment, and measurable outcomes.

How I work

Start with the user. Translate to leadership. Build the motion around both.

My best work tends to happen where technical products, high-stakes business outcomes, and complex organizations meet. That means building strong user champions, earning credibility with technical teams, and helping executives connect platform decisions to broader strategy.

Posit

From first dedicated seller to market-building segment leader.

I joined Posit in November 2018 as the first seller focused on enterprise Life Sciences and Healthcare. There was no real playbook, so the job was not just closing deals. It was building the message, the motion, and the credibility required to make data science platforms strategically important inside top pharmaceutical organizations.

Leadership

Growth through multiple roles without losing the operating instinct.

As the business grew, I moved from individual contributor to pod lead, then to manager, and later to director of a newly formed new-business team. The throughline was building structure where it did not exist and helping teams turn technical capability into commercial momentum.

AI

AI as a working tool, not just a talking point.

I started using modern AI tools on personal projects before they became central to my day job. That experimentation later translated into internal workflows for account research, meeting prep, business cases, reporting, call coaching, and demo creation based on live customer context.

2018
Joined Posit as the first dedicated seller for enterprise Life Sciences and Healthcare.

Finished the partial year with $4.05M in bookings and helped define the segment's first repeatable go-to-market motion.

2021
Led the Enterprise LSH pod to 159% attainment and $3.25M in ACV growth.

Expanded beyond top pharma into broader healthcare and federal accounts while refining the playbook.

2023
Delivered 256.5% attainment as an enterprise AE.

Closed $1.72M against a $671.8K H2 quota while continuing to support broader team execution.

2025
Led a newly formed new-business team that closed $4.5M across 150+ new logos.

Built operating rhythm, messaging support, and AI-assisted workflows for a team Posit had not previously had in market.

Projects

Learning by building, especially when the idea gets technical.

Arkfile

An offline knowledge project that became my AI development laboratory.

Arkfile started as an idea around curated, internet-free access to useful information. What made it important to me was that it gave me a practical reason to get hands-on with AI-assisted software development before those tools were meaningfully part of my day job.

I rebuilt the project repeatedly as I learned more. In a lot of ways, that was the point. Arkfile became a way to stay close to how fast these tools were changing and to appreciate what software builders actually do when they turn an idea into a product.

  • Built as a hands-on way to explore AI coding tools and iterative product development.
  • Centered on a simple concept: useful, curated knowledge that still works when the internet does not.
  • More than a side project, it became a way to learn how new technical capabilities actually feel in practice.
Visit thearkfile.com
$ project: arkfile
$ approach: learn by shipping

offline knowledge
AI-assisted prototyping
rebuild / test / refine
repeat until useful

What it taught me

Real products emerge through iteration, not abstract opinions about AI.

Musky Auto-Jigger

A practical family problem that turned into a working prototype.

I love musky fishing, and I also have four young kids. Those two things do not always fit together naturally. So I started asking a simple question: could I build something that would keep a lure moving while I kept my attention where it belonged on the boat?

Using AI as a collaborator, I learned my way through motor systems, basic electronics, component selection, motion control, and prototype iteration. The result is a working device. The bigger point is what the project represents: modern AI tools can help a curious person bridge the gap between “I wonder if this is possible” and “I built it.”

  • Started from a real use case, not a toy problem.
  • Used AI to accelerate learning across motion, electronics, and prototyping.
  • Ended with a working device rather than just an idea board.

system sketch

motor + linkage + rod motion + power management + on-the-water usability

why it matters

A curious operator can now move from question to prototype much faster, if they are willing to learn in public and iterate.

Resume

A cleaner summary of the last fifteen years.

Contact

Interested in enterprise sales, AI, data platforms, or any project that closes the gap between curiosity and execution.