Required Entrepreneur in Residence – AI Implementers
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 we were 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 us. 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
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 us as your first investor, your distribution advantage, and your operational backbone, rather than as a corporate initiative.
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 we were 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 us. 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
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 us as your first investor, your distribution advantage, and your operational backbone, rather than as a corporate initiative.
דרישות:
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 ship the landing page in the same week
You're operationally rigorous. You instrument what you build. You make decisions with data when it exists and with judgment when it doesn't
You love rolling up your sleves and do the work (vs write the brief). The first 50 customer calls. The first landing pages. The first prototypes. The first pricing experiment…
You think simply. You ask "what's the chance this matters? 20%? 10%?" before adding complexity
This is a builder role, not a manager role, for at least the first 6 months. We don't expect you to come in with a team behind you. We expect you to come in with conviction and a willingness to do the work yourself until the work demands more hands.
What makes this different:
A few things that should matter to the right person:
You're not starting from zero. we have 100K+ existing members across the kinds of businesses AI Implementers serve. That's a launch surface most founders would kill for.
We've done the early research already. You won't be starting blank. You'll be standing on a stack of validated insights about the market, the buyers, the pricing, and the existing supply side.
Real autonomy. The default is that this lives under its own brand, with its own roadmap, its own GTM, and its own P&L המשרה מיועדת לנשים ולגברים כאחד.
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 ship the landing page in the same week
You're operationally rigorous. You instrument what you build. You make decisions with data when it exists and with judgment when it doesn't
You love rolling up your sleves and do the work (vs write the brief). The first 50 customer calls. The first landing pages. The first prototypes. The first pricing experiment…
You think simply. You ask "what's the chance this matters? 20%? 10%?" before adding complexity
This is a builder role, not a manager role, for at least the first 6 months. We don't expect you to come in with a team behind you. We expect you to come in with conviction and a willingness to do the work yourself until the work demands more hands.
What makes this different:
A few things that should matter to the right person:
You're not starting from zero. we have 100K+ existing members across the kinds of businesses AI Implementers serve. That's a launch surface most founders would kill for.
We've done the early research already. You won't be starting blank. You'll be standing on a stack of validated insights about the market, the buyers, the pricing, and the existing supply side.
Real autonomy. The default is that this lives under its own brand, with its own roadmap, its own GTM, and its own P&L המשרה מיועדת לנשים ולגברים כאחד.
