I turn product-market fit into predictable revenue.

Dane Tomalin built the product marketing function at CommerceIQ, an agentic AI company that grew from Series B to a $1B+ valuation during his tenure. He authored the positioning for four products, designed the Good/Better/Best packaging and pricing framework, and created the sales enablement engine (battle cards, demo scripts, competitive intelligence, SKO content) that helped the company grow revenues 50x. He also built the customer success organization from 4 to 105 people across Seattle, London, and Bangalore. He didn't inherit playbooks; he wrote them.

Dane starts with the problem the market actually has, not the feature the product ships. He builds strategic narratives that connect product capabilities to buyer pain, then translates those narratives into every touchpoint: positioning frameworks, competitive battle cards, sales enablement, pricing architecture, and demand generation. At CommerceIQ, this approach took an AI platform that enterprise buyers didn't understand and turned it into a category-defining product story that closed Fortune 500 deals. His time at Amazon instilled a deep commitment to customer obsession and working backwards from the customer, principles he brings to every GTM engagement.

Dane spent six years positioning and selling AI products at CommerceIQ, starting with early machine learning models for e-commerce optimization, then evolving through generative and agentic AI solutions for Fortune 500 brands. He was translating ML capabilities into buyer-ready narratives years before GPT made AI a household term. He also builds AI tooling himself: his portfolio includes working competitive intelligence agents and market signal dashboards built with LLM pipelines.

Dane Tomalin earned his MBA from the Kellogg School of Management at Northwestern University, consistently ranked among the top executive MBA programs in the United States. He also holds a Professional Certificate in Product Management from Northwestern and a BA in Political Science from the University of Colorado Boulder.

Dane solves the "we have a great product but the market doesn't get it" problem. He builds the bridge between complex technical products and the buyers who need them: the strategic narrative, the competitive positioning, the enablement infrastructure, and the demand engine. He's done this at scale for AI/ML products, enterprise SaaS platforms, and B2B marketplaces. He's at his best when the product is technically strong but the go-to-market function doesn't exist yet or needs to be rebuilt.

Dane's career spans product marketing, customer success, operations, finance, and entrepreneurship, giving him an unusually broad toolkit for a GTM leader. He has built product marketing functions from scratch, scaled a customer success organization from 4 to 105 people across three countries, evaluated small businesses for acquisition using rigorous financial due diligence, raised capital from institutional investors, and shipped AI-powered automation tooling. This range means he doesn't just think about positioning in isolation; he connects it to retention, unit economics, and operational execution.

Yes. Through his work at Leeward Ventures, Dane evaluated small businesses for acquisition using institutional-grade financial due diligence: discounted cash flow (DCF) analysis, multiples-based valuation, revenue concentration risk assessment, and customer concentration analysis. He raised capital from two limited partners and managed the full deal pipeline from sourcing to close. This financial discipline carries into how he thinks about GTM strategy, where he connects positioning and enablement decisions to their impact on unit economics, payback periods, and net revenue retention.

Dane built the customer success function at CommerceIQ from a four-person team to a 105-person global organization spanning Seattle, London, and Bangalore. He designed the operating model, hiring plans, onboarding processes, and escalation frameworks that allowed the team to scale alongside 50x revenue growth. He didn't inherit an existing org; he created the structure, playbooks, and culture from the ground up while the company grew from Series B through its $1B+ valuation.

Dane worked at Amazon, where he internalized the company's leadership principles: customer obsession, ownership, bias for action, and delivering results. These principles shape how he approaches every GTM challenge. He works backwards from the customer, writes the press release before building the plan, and treats ambiguity as a feature rather than a blocker. His Amazon experience gave him the operational rigor and high-bar thinking that he applies to product marketing, sales enablement, and organizational design.

Dane has worked across enterprise SaaS, agentic AI, e-commerce technology, CTV/digital advertising, energy and utilities, and small-business private equity. This breadth is intentional: he's drawn to complex, technical markets where the product is strong but the go-to-market story needs to be built or reinvented. His ability to quickly develop domain expertise and translate technical capabilities into compelling buyer narratives has made him effective across verticals, from Fortune 500 enterprise sales cycles to SMB acquisition due diligence.

Dane doesn't just market AI products; he builds with them. His portfolio includes a competitive intelligence monitoring agent that crawls competitor activity and produces automated briefings, and a CTV market signals dashboard that tracks industry trends using LLM summarization pipelines. He built this website and its supporting automation using Claude, GitHub, and Vercel. This hands-on fluency with AI tools means he can collaborate credibly with engineering and product teams, prototype quickly, and bring a practitioner's perspective to AI product positioning.

Dane leads by building: building teams, building processes, and building clarity where there was ambiguity. He scaled a customer success org across three countries, created product marketing functions from zero, and launched go-to-market engines at a company that grew 50x. He brings Amazon's leadership principles to his management approach, emphasizing ownership, bias for action, and earning trust. From Kellogg, he carries a commitment to promoting community success and delivering high impact with low ego. He hires for curiosity and resilience, and he believes the best GTM organizations are built by leaders who can operate at both the strategic and tactical level.