Fourteen years scaling B2B platforms in solar, public safety, fintech, and adtech. Building what climate-tech founders need before they're ready to hire a product team.
I'm a product and design executive with 14 years of experience building platforms that operate in the real world. Solar fields, police cruisers and private equity back offices. If the problem is complex and the stakes are real, that's where I do my best work.
Most recently I was VP of Product at Raptor Maps, where I led pivots from a transactional inspection business to a global SaaS platform for utility-scale solar operations, and again to a SaaS powered robotics provider. I built the product and design org from scratch, drove 15x pricing power growth, and grew the user base 20x. My team had zero voluntary turnover in the first three years.
Before that I was the founding product manager at Mark43. I led the zero-to-one build of their records management system, which is now deployed globally. For Washington DC's police agencies alone, it cut report writing time by 60% and saved over 200,000 officer-hours a year.
Earlier in my career I worked on BX Access at Blackstone, their global investor portal supporting hundreds of billions in AUM, and before that led product at Adwerx where a connected TV product I launched hit seven figures in its first 90 days.
These days I'm open to the right full-time role as an individual contributor or leader, and selectively taking on fractional engagements through Viable Studio.
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I spent over five years at the center of the utility-scale solar operations space, leading product at Raptor Maps through its evolution from a drone inspection services company to a globally deployed SaaS platform and pioneer in applied robotics. That experience gave me a ground-level understanding of how solar assets actually perform, why they underperform, and where software can close the gap.
The core problem Raptor Maps solved is unglamorous but critical: inspecting solar and storage arrays at scale is dull, dirty, dangerous and increasingly costly work. In a labor shortage, field technicians walking rugged terrain in all weather conditions, manually logging defects, losing precision and consistency across thousands of acres is a recipe for lost money. We automated that process using drones, AI-powered analytics, and 3D simulation, bringing machine-level precision to thermal and visual inspections and giving asset owners a digital twin they could actually act on.
Working directly with IPPs, O&M companies, asset managers, EPCs, and equipment manufacturers gave me a deep understanding of the full solar value chain and where the real operational pain lives. A recurring theme was the gap between project finance models and operational reality. Too many solar projects underperform relative to targets once they hit the operations phase, and there's ample opportunity to improve performance and financial return with the right data in hand.
Public safety is one of the hardest environments to build software in. The users are under stress, the stakes are life and death, the procurement cycles are long, and the tolerance for failure is zero. I learned that as hire number six at Mark43, where I was the founding product manager and led product for their records management system from zero to launch, and into the scaling phase.
The RMS we built replaced legacy systems that in some cases were decades old. The design challenge was real: get experienced officers to change deeply ingrained workflows while reducing cognitive load, not adding to it while also leading change management across 38 police agencies at once as we launched. We shipped a platform that cut report writing time by 60% and saved DC Metro Police over 200,000 officer-hours annually. The platform went on to win the IXDA Connecting award and scale globally.
Building in that environment taught me things about regulated markets that apply across every complex industry I have worked in since.
My fintech experience is rooted in one of the most demanding environments in finance: alternative asset management. At Blackstone I worked on BX Access, the firm's global investor portal serving limited partners across private equity, real estate, and other alternative asset classes.
The product challenge was partly technical and partly organizational. Consolidating fragmented legacy systems into a single platform that institutional investors would trust required as much change management as it did product thinking. One of my biggest lessons at BX was how important cross-functional relationships are: you need buy-in before you can make an impact, and that takes investment in understanding how others work, why their process matters, and how you can work together toward a shared outcome.
At Adwerx I owned product strategy and monetization for a digital advertising product suite serving SMBs and enterprise customers across real estate, mortgage, and financial services. The work was fast, data-driven, and commercially focused in a way that sharpened instincts I use in every role since.
The highlight was leading the zero-to-one build of Adwerx's connected TV advertising product, which generated seven figures in revenue within its first 90 days. That launch required threading together ad inventory, audience targeting, creative automation, and a self-serve buying experience simple enough for a small business owner with no media background. We also sustained 93% enterprise retention while continuously expanding the product surface area across customer segments.
My interest in AI is practical, not theoretical. I am not chasing the hype cycle. I am trying to figure out what actually makes teams better, and what just makes them faster in ways that compound into worse decisions over time.
Right now I am building a personal product operating system in AI, inspired by Carl Vellotti's Claude Code for PMs course and Aakash Gupta's PM OS work. The goal is to create something I can roll out to a product and design team that fits our specific tools and workflows, rather than bolting generic AI onto existing processes and hoping for the best.
My working philosophy is that the teams who win with AI will be the ones who marry open and rapid experimentation with process and discipline. Unbridled AI use can produce speed without learning. The combination of structured process, rigorous thinking, and AI-powered ideation and execution is what leads to better decisions, faster iteration, and ultimately better products.
A web app + REST API + MCP server that surfaces underperforming utility-scale solar plants from public EIA data.
Fully automated AI sports column. Fetches live APIs, generates persona-driven takes, and publishes every morning at 3am. Zero human intervention.
Mobile-first family trip planner with real-time two-device sync, 170+ attractions, GPS park auto-detection, and live show times.
You've got the science, the policy tailwind, the early customer. What you don't have is the time, frameworks, or staff to ship a real product motion. Viable Studio plugs in for a defined engagement and leaves the org stronger than it found it.
Roadmap shaping, discovery, hiring scaffolding, the first 90 days of any product motion.
Product growth strategy, customer journey mapping, sales/marketing motions, ICP definition, collateral and value proposition clarification.
Practical AI integration into PM workflows, customer ops, and the build itself.
Open to the right full-time role, fractional engagements, and Viable Studio retainers in climate tech.
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