Entrepreneur in Residence - AI Implementers

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HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance - not replace - independent professionals. HoneyBook's AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter. Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and maintain a growth mindset. We know experience comes in many forms - some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually curious environment and have relevant experience, we encourage you to apply. A new category of professional service provider is emerging: people who build, configure, and deploy AI for small businesses. They call themselves AI Implementers, AI Consultants, and automation specialists. The practice is still being invented. There is no shared training path. No standard pricing. No clear playbook for how to make it a sustainable business. We've done the homework. Exploratory interviews with implementers and their clients, a large respondent demand survey, a respondent supply-side survey. The pattern is consistent: the market is real, growing fast , and almost nothing about it is solved. Their #1 pain is getting clients. Their clients' #1 pain is finding someone they can trust. This is the kind of market HoneyBook was built to win. We've spent over a decade learning how independent service providers run their businesses, how they price, how they sell, how they build trust. AI Implementers are independent service providers. The substrate is the same. The opportunity is to be the platform that turns this fragmented, inventing-itself category into a real profession with real economics, and to capture the value of doing so. We're not building this as a distribution play for HoneyBook. The bet is that this stands on its own as a business. Cross-sell to our existing portfolio is a bonus, not the thesis. The mission: Take this from concept to a category-defining business. Zero to outcomes. You will: Live in the market until you understand it better than anyone at HoneyBook Define the strategy, the wedge, the offering, the pricing, and the brand Build the early product and the early GTM in parallel Land the first paying customers yourself Build the team you need to scale once we have signal Think of it as founding a startup with HoneyBook as your first investor, your distribution advantage, and your operational backbone, rather than as a corporate initiative. What you'll own end to end: Market. Talk to 50+ AI Implementers in your first 90 days. Map the segments (technical builders vs business strategists, project-based vs retainer, generalist vs vertical specialists). Map the communities, the influencers. Decide which segment we go after first and why. Strategy. Build the business case, the product thesis and the GTM foundations. What's the offering? What's the wedge? What's the pricing model? What does the unit economics look like at scale? What are the four to five things we have to be opinionated about, and what are we deliberately not doing? GTM. Design the acquisition motion from scratch. Community, content, partnerships, paid, sales-led, product-led, some combination. Test cheap, kill what doesn't work, double down on what does. Treat GTM as foundational, not as something we figure out after product is built. Product. Partner with engineering and design to ship the first version. You won't build it alone, but you'll set the bar for what it is, what it isn't, and what good looks like. Customers. Land the first 10 paying customers personally. Get on the calls. Read every email. Watch every demo. Be the most informed person on what's working and what isn't. Who we're looking for: You've probably done one of the following: Founded a company that got to product-market fit, with a meaningful exit or a clear track record of building something from nothing Been an early product or GM leader at a high-growth B2SMB or prosumer startup, owned a business unit end to end, and shipped real outcomes Run a consulting/services practice in the AI or automation space and felt the gap firsthand What matters more than the resume: You think in markets, not just products. You ask "who's the customer, what do they pay for, why us" before "what should we build" You're fluent in modern AI tooling. Not as a researcher, as a builder. You have opinions about Claude vs other models, about agent architectures, about where the puck is going You can write the strategy and

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