The situation: TechTarget (NASDAQ: TTGT) had a retention problem with only 39% returning second month users, negatively impacting ARR growth. With rich data assets, the opportunity was clear. Leverage Gen AI, create a novel solution, empower users.
The work: Led product strategy, design, launch, and optimizations for IntentMail AI, an AI-powered hyperpersonalized sales solution built on TechTarget's proprietary intent data.
Defined the monetization model, go-to-market structure, and created the product governance framework necessary to operate responsibly as a first AI product for a NASDAQ-listed company serving Fortune 500 clients.
The outcome: 95% retention increase (39%->76%) and $14M in first-year recurring revenue. The resulting success brought increased acquisition attention and the established AI governance framework proved a valuable asset in the strategic combination of TechTarget and Informa Tech.
AI governance framework · Data productization · Go-to-market structure · Monetization model design
The situation: ConnectWise was scaling fast with great product-market fit and multiple years of >20% annual revenue growth. PE scrutiny was intensifying, and the product organization needed to operate at a standard that would hold up under acquisition diligence.
The work: Built the product operating model — strategy cadence, governance structure, roadmap accountability, and cross-functional alignment frameworks — that gave leadership and buyers confidence in how the product org operated, not just what it shipped.
The outcome: Thoma Bravo signed the check for a $1.5B PE acquisition. The product organization was an asset in the process, not a risk to manage. Post-acquisition, incorporated multiple acquisitions and product lines into an operationally aligned platform.
Product operating model · Governance structure · Roadmap accountability · Acquisition diligence readiness
The situation: Exactera — a Series B FinTech SaaS company in AI tax and compliance automation — was making a strategic shift: from a services-led business to a software product company. That transition required a real platform and a flagship AI product that didn't exist yet. The burn-rate clock was running.
The work: Architected and led the 0→1 execution of the Intelligent Tax Platform and ExactReport product. Operationalized GenAI quality and cost controls (prompt/version management and LLM evaluation workflows), built lean experimentation infrastructure, and scaled the platform to support hundreds of countries with full regulatory and UI/UX parity for international markets.
The outcome: Every delivery milestone was met on schedule. The platform execution directly supported continued investment from Insight Partners, validating the services-to-software transition with a fundable, compliant AI product foundation.
0→1 platform architecture · GenAI quality & cost controls · Global localization · Insight Partners capital milestone
The situation: As Director of Support at ConnectWise, the team lacked a structured path from entry-level roles to advanced positions. Attrition was eating institutional knowledge, ramp time was long, and the organization was constantly rebuilding.
The work: Built a deliberate talent development system — structured career ladders, coaching cadences, and advancement criteria that made progression visible and achievable. Created the conditions where entry-level colleagues could see a real path to advanced roles, and where the organization had a vested interest in accelerating them rather than replacing them.
The outcome: 25 colleagues promoted — 40% of the team — in a single year. Agent ramp time dropped 66% (9 months to 3 months) through Knowledge-Centered Support implementation. Colleague tenure increased, attrition decreased, and the talent pipeline built during this period supported the organization through the subsequent $1.5B PE acquisition.
Career ladder design · Coaching cadence · Advancement criteria · Entry-to-advanced talent pipeline
B2B SaaS at a scale transition
Product is shipping but not scaling. Velocity is sometimes there, repeatability isn't.
Companies navigating M&A (preparing, mid-process, or recovering)
The board wants accountability the current product org can't deliver.
PE-backed businesses that need product discipline fast
A senior product hire is 6–12 months away and you can't wait that long
AI-native or AI-adjacent products in early commercial stages
AI investment exists, but monetization strategy, governance, and go-to-market don't.
High growth, misalignment, inconsistent results
You're adding headcount faster than you're adding clarity or structure
Every case study has a full paper trail.