I help founders and product leaders turn early demand and complex customer requirements into focused products that can be sold, deployed, and repeated.
My work covers product strategy, ICP and go-to-market design, enterprise readiness, and building AI enabled forward-deployed teams.
Early products rarely lack ideas. The harder problem is choosing among too many plausible customers.
I help answer
01Which customer segment and problem should we pursue first?
02What is real signal vs. noise?
03When do we invest further, and when do we pivot?
04What do enterprise buyers require, and are we ready?
05How do we support complex deployments without becoming a custom-services business?
How I help
Four areas of work
01
Zero-to-one product strategy
Turn an early concept into a focused, testable product direction
I help teams sharpen the customer problem, choose a wedge, test the riskiest assumptions, and set milestones toward meaningful traction.
Typical work
Product thesis and wedge definition
Customer discovery and feedback interpretation
Roadmap and sequencing decisions
Proceed, revise, or stop recommendations
02
ICP-led GTM design
Find where your product has the strongest right to win
I help companies narrow broad market definitions into a clear ICP and design a concrete GTM motion you can test.
Typical work
Segment prioritization and ICP development
Buyer, user, and influencer mapping
Customer, prospect, and lost-deal interviews
Positioning, packaging, and pricing hypotheses
GTM experiments and learning plans
03
Enterprise product readiness
Realign your company to sell to enterprise customers
Enterprise deals slow down when customers ask about security, legal, governance, implementation, support, and guarantees. I help teams separate real adoption barriers from one-customer requests that take over the roadmap.
Typical work
Enterprise roadmap prioritization
Security, compliance, and procurement readiness
Enterprise GTM motion design
04
Forward-deployed product model design
Stay close to customers without becoming a custom-services business
AI, automation, and integration-heavy products often need product and engineering teams to work directly with customers. I help define the model, decision rules, and handoffs that turn field learning into reusable product capabilities.
Typical work
Role scoping across product, engineering, sales, and implementation
Sourcing and interviewing support for initial hires
Product-versus-customization decision rules
Field-to-core-product intake and handoffs
Selected work
Two products, concept → paying customers
Tailor
Building a repeatable U.S. ERP business
Tailor entered the U.S. with a low-code platform for engineers to build bespoke ERPs — and no traction. I led the pivot to a pre-built, configurable ERP product and built the product, implementation model, and GTM motion around it.
Enter your email to read the full case study: the pivot decision, the ICP analysis, the implementation playbook, and the business outcome.
Initial product suite~4 months
First customer in production by~6 months
Sales cycle cut from~3 months to 1 month
Implementation cut from~6 months to 3 months
Omlet
From an open-ended initiative to a paid developer product
Zeplin wanted a new developer product but had only a broad mandate. I led Omlet from research through GA and its first paying customers: finding the wedge, validating demand, and building the product-led growth motion.
Enter your email to read the full case study: the validation approach, activation experiments, pricing decisions, named customers, and the business outcome.
MVP launched in~30 days
Paying customers in first 6 months20+
ActivationRoughly doubled
Read the full case studies
Enter your email to read the full case studies. One unlock reveals both.
Both case studies unlocked
Tailor · Gated detail
U.S. ERP business from zero customers to $500K+ run rate
Unlocked
The situation
Tailor's customers were in Japan, and its U.S. thesis — a low-code platform for engineers to build bespoke ERPs — wasn't working. The people who felt the operational pain were rarely engineers, and prospects needed to see a credible working product before committing. The U.S. business needed a clearer customer, a more concrete product, and a delivery model that didn't turn every deployment into a custom project.
What I did
Analyzed the sales pipeline to define a focused ICP: ecommerce businesses running Shopify and QuickBooks across B2B and DTC operations.
Pressure-tested the direction with customer discovery, external advisors, CPAs, and implementation partners.
Put product, design, and engineering directly in front of customers and their operational workflows.
Replaced the platform pitch with a demo-ready suite of pre-built ERP modules spanning inventory, purchasing, sales, finance, accounting integration, and data migration.
Built implementation as a product: upfront data audits, migration tooling, health checks, and iterative deployments.
Applied AI to data migration and an accounts-receivable workflow that extracted payment data, matched it to ERP records, applied customer-specific logic, and routed exceptions to human review.
Hired and managed product and engineering contributors across the effort.
Outcomes
Zero customers to $500K+ run rate in approximately 16 months.
Initial product suite in ~4 months; first customer in production by ~6 months.
Sales cycle reduced from ~3 months to 1 month through a configurable product and a demo environment grounded in real workflows.
Implementation reduced from ~6 months to 3 months through pre-built modules, upfront migration analysis, and repeatable tooling.
Established reusable patterns for accounting integrations, migration, transaction reliability, observability, and human-reviewed AI automation.
Omlet at Zeplin · Gated detail
From an open-ended developer initiative to a $300K+ ARR product
Unlocked
The situation
The mandate was broad: build something new for developers, outside the constraints of Zeplin's design-collaboration product. The work was finding the wedge, validating that the opportunity could stand on its own, and learning what drove activation, retention, and willingness to pay.
What I did
Ran 30+ developer conversations and tested three concepts before committing to a direction in under 30 days.
Validated demand with wireframes, a landing page, conversion targets, beta commitments, and willingness-to-pay research before scaling development.
Launched an MVP in ~30 days, deliberately limiting platform and framework support to test the core value proposition quickly.
Owned the product end to end: roadmap, onboarding, docs, pricing, packaging, marketing content, sales enablement, and early customer conversations.
Improved activation by removing configuration requirements and shipping pre-built dashboards instead of an empty analytics view.
Added a demo workspace after observing that users who explored it signed up at ~4x the rate.
Iterated on pricing and packaging with early paid customers before investing in self-service infrastructure.
Outcomes
20+ paying customers in the first 6 months, including teams at Instacart, GoFundMe, Paychex, the Chan Zuckerberg Initiative, and Color.
$300K+ ARR within approximately six months of GA.
Activation increased from ~20% to 30% through simplified setup and pre-built dashboards, then to ~40% with the demo workspace.
Developer share of signups increased from ~40% to ~50% through developer-focused positioning and role-specific onboarding.
Recovered post-beta retention by restoring useful default dashboards, then personalizing them around user goals.
Patrick Suzuki
Zero-to-one enterprise product advisor
I advise founders and product leaders building enterprise AI, ERP-adjacent, and complex B2B software products.
I have led two products from early concept to paying customers. At Tailor, I led a U.S. ERP pivot from zero customers to a repeatable business while reducing sales and implementation cycles. At Zeplin, I led Omlet from discovery through GA to more than 20 paying customers.
My work focuses on the decisions that determine whether an early product becomes repeatable: choosing the right customer and workflow, sharpening the product thesis, interpreting design-partner feedback, preparing for enterprise requirements, and deciding which customer-specific needs should become core product capabilities.
I work through focused strategy sprints, ongoing advisory relationships, and time-bounded fractional product leadership.