The frontier operator
I turn AI from a technological possibility into an operating business.
The mandate
Most AI initiatives stall between a powerful demonstration and an operating result. Ownership fragments across technology, product, commercial teams and the business—and activity gets mistaken for progress.
Michael works across that entire divide. Part technologist, product leader, commercial executive, founder and portfolio operator, he aligns the capability, customer, organization and economics around one measurable outcome.
“Convert ambiguity into commercial reality.”
The expensive problem
The value lives between intelligence and the business outcome: context, systems, integrations, permissions, workflow, trust, adoption and economics. Michael turns that last mile into an operating system—from idea and architecture to customer, deployment, renewal and return.
A career at the frontier
Michael’s career is a progression through the exact capabilities an AI mandate demands: startup speed, growth, enterprise sales, product, acquisitions, portfolio operations and semantic architecture.
Before the machinery existed
Joined ZipRecruiter before its Series A and before 20 employees. Learned what exceptional companies look like before success becomes obvious: no playbook, incomplete systems and no room to wait for permission.
Growth · Sales · Commercialization
Worked where emerging technology met real customer workflows—from enterprise media delivery and predictive retention to semantic AI before generative AI became a category. Multiple journeys ended in acquisition.
CMO → Executive operator
Helped turn generative AI into a product used by more than one million people in roughly 45 days. Built GTM from zero and operated inside a market whose rules were being written in real time.
CEO · Category creation
Operated at the frontier of multi-agent orchestration before “AI agents” became corporate vocabulary—connecting product, narrative, customers and commercial execution through an eight-figure exit.
SVP AI · Portfolio CEO
Now works across enterprise customers, roughly 20 software brands, acquisitions and AI-first transformation—rebuilding products, services and operating economics around what AI makes possible.
Founder
Building deterministic ontology infrastructure for the last mile of enterprise AI: the context, semantics, provenance, permissions and execution layer intelligence needs to operate a real business.
In the arena
Operating principles
A small set of principles built through repeated exposure to what creates durable business value—and what only creates the appearance of progress.
If a customer needs 45 minutes of slides to understand the product, the product—or the story—is not ready.
AI transformation should materially change revenue, margin, speed, quality or capability. Otherwise, it is experimentation.
A successful POC is not the finish line. Turn it into a repeatable machine that can survive beyond the people who invented it.
Ambiguity is not a reason to wait. Form the view, get the right people in the room and test what must be true.
Ways to engage
Michael is most useful when the opportunity is material, the ownership crosses functions, and standing still is more dangerous than moving.
For CEOs, boards and portfolio leaders who need AI to become a material part of the business—not another innovation program. Michael connects architecture, product, operating model, commercialization and economics in one accountable mandate.
Transformation · AI-first economics · Portfolio operations↗For technology that works technically but remains difficult to explain, buy or deploy. Michael turns the capability into a category, product, offer and repeatable path to enterprise revenue.
Positioning · Product · GTM · Enterprise buying↗Selective advisory Michael also works privately with a small number of founders and executives navigating high-stakes transitions.
Speaking
Beyond the mandate
American by origin and global by operating reality, Michael now lives in Sweden with his wife and young son. Away from the work: watches, travel, diving, and an increasing interest in building things that can outlast the person who built them.
Founder speed. Enterprise access. A long-horizon view.
The next conversation
If AI matters to the business, the opportunity is real, and the path to operating value is unresolved—we should talk.
Discuss a mandate ↗