Founding Technical GTM Lead at Cua | Y Combinator

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About Cua
Cua is building the infrastructure and agent products that let AI safely and reliably use computers and applications.
At the center of our ecosystem is Cua Driver, the fastest-growing computer-use framework. Developers use Cua Driver to build agents that operate browsers, native applications, and complete desktop workflows across macOS, Windows, and Linux.
We also provide the infrastructure needed to develop, evaluate, train, and operate these agents at scale: fleets of real computer environments, agent evaluation tooling, and verified trajectory data.
Cua is backed by Y Combinator. We're a small technical team building foundational infrastructure for the next generation of AI agents.

The Role
We're looking for our first dedicated go-to-market hire.
You'll work directly with the founders to figure out who needs Cua most, how we reach them, what we should sell, and how we turn early adoption into a repeatable business. This is not a role where you inherit a sales playbook. You'll create it.
You'll talk to developers, AI teams, researchers, and companies deploying computer-use agents. You'll run technical discovery, design pilots, help customers integrate Cua, close business, and bring what you learn back into the product.
You'll also help us identify, launch, and grow agent products built on Cua Driver. The opportunity spans open-source adoption, developer products, enterprise infrastructure, and data or evaluation engagements with leading AI teams.
At first, you'll do all of this yourself. Once we find repeatable motions, you'll help us build the team around them.

What You'll Do

Identify the highest-value customer profiles and use cases for Cua.
Build relationships with AI labs, model providers, agent startups, and companies deploying computer-use agents.
Own the full commercial cycle: sourcing, discovery, demos, technical evaluation, pilots, negotiation, closing, onboarding, and expansion.
Work with customers to design deployments involving Cua Driver, computer fleets, evaluation environments, or trajectory data.
Shape and bring new agent products built on Cua Driver to market.
Connect our open-source ecosystem, agent products, and infrastructure into a coherent customer journey.
Turn early customer projects into repeatable offerings, messaging, pricing, case studies, and sales processes.
Create technical demos and content that show developers what they can build with Cua.
Represent Cua in the agent-development community and develop relationships with potential partners.
Bring clear, structured customer feedback into product and engineering decisions.
Establish our first useful GTM systems for pipeline, forecasting, customer health, and pricing feedback.
Help determine which GTM roles we should hire next.

What Success Looks Like
During your first three months, you will:

Develop a deep understanding of Cua's products, users, and market.
Speak with developers, researchers, and potential customers every week.
Sharpen our ICP, positioning, and core use cases.
Build a focused pipeline and personally run customer evaluations.
Create the initial materials needed to explain, demonstrate, and sell Cua.
Identify promising agent products that can be built on Cua Driver.

Within six to twelve months, you will have helped create:

A clear, evidence-backed ICP and buying motion.
A reliable path from technical evaluation to paid deployment.
Referenceable customers with measurable outcomes.
A repeatable approach to launching agent products built on Cua Driver.
Useful sales, onboarding, and customer-success systems.
A grounded plan for building Cua's broader GTM organization.

You May Be a Good Fit If

You've sold, deployed, or brought to market a deeply technical product.
You understand developer tools, infrastructure, AI/ML systems, data platforms, or enterprise software.
You can hold a detailed conversation with engineers and researchers while staying focused on the business outcome.
You've personally sourced opportunities, run discovery, designed pilots, negotiated, and closed.
You're comfortable getting technical enough to build a demo, inspect an API, or debug a customer integration.
You learn quickly from customers and turn ambiguous feedback into clear action.
You communicate exceptionally well in writing, presentations, demos, and technical conversations.
You can create lightweight systems without introducing unnecessary process.
You're comfortable working with an early product whose positioning and packaging will evolve.
You want ownership of a company-building problem, rather than a predefined sales territory.

Especially Valuable

Experience selling to AI labs, applied AI teams, or developer-platform companies.
Familiarity with AI agents, computer use, reinforcement learning, evaluations, synthetic data, or browser and desktop automation.
Experience converting open-source or developer adoption into commercial relationships.
Experience launching a new technical product or creating a category.
A track record of turning bespoke early deals into repeatable products or offerings.
An existing network among AI researchers, infrastructure teams, or agent developers.
Founder, early employee, solutions engineer, developer relations, or technical product experience.

Why Cua
Computer-use agents are moving from demos toward real production workloads.
These agents need reliable interfaces for controlling computers, scalable environments in which to operate, and trustworthy evidence of what happened during every run. They also create an entirely new surface for useful agent products. Cua is building that full stack.
Cua Driver gives developers a fast-growing framework for building computer-use agents. Our infrastructure gives those agents real Linux, Windows, and macOS environments for development, evaluation, training, and production workloads. We're also building agent products on top of this foundation.
You'll join early enough to help decide which products we bring to market, who they serve, and how they grow. You'll work directly with the founders, engineers, and technical customers defining the computer-use category.

How to Apply
Send us:

A short introduction and why you're interested in Cua.
An example of a technical product you helped sell, launch, or grow.
Something you built, wrote, sold, or figured out from scratch.
Your thoughts on who should be buying or building with Cua today.

We care more about evidence of ownership, technical curiosity, and resourcefulness than a conventional sales resume.
About CuaCua is building the infrastructure that lets general AI agents safely and scalably use Computers and Apps like humans do.
With 9k+ GitHub stars in just 4 months and a seed round closed, we’re providing:

An open-source framework for building and evaluating general-purpose AI agents.
A cloud container platform for sandboxed, scalable agent execution environments.
A blueprint for what production-grade general agent systems should look like - backed by research.

CuaFounded:2025Batch:P25Team Size:3Status:ActiveLocation:San Francisco FoundersFrancesco Bonacci CTOFrancesco Bonacci CTOFooterY CombinatorMake something people want.ProgramsYC ProgramStartup SchoolWork at a StartupCo-Founder MatchingResourcesStartup DirectoryStartup LibraryInvestorsDemo DaySAFEHacker NewsLaunch YCYC DealsCompanyYC BlogContactPressPeopleCareersPrivacy PolicyNotice at CollectionSecurityTerms of UseTwitterTwitterFacebookFacebookInstagramInstagramLinkedInLinkedInYoutubeYouTube© 2026 Y Combinator

Cua is focused on building the foundational infrastructure and agent products that enable artificial intelligence agents to safely and reliably utilize computers and applications. Central to their ecosystem is Cua Driver, which serves as the fastest-growing framework for developing computer-use agents, allowing developers to build systems that operate across macOS, Windows, and Linux. Beyond the framework, Cua provides the necessary infrastructure for scaling agent operations, including fleets of real computer environments, specialized agent evaluation tooling, and trajectory data. The company is supported by Y Combinator and is driven by a small technical team focused on creating this foundational infrastructure for the next generation of AI agents.

The organization is seeking a Founding Technical GTM Lead to spearhead the go-to-market strategy, a role that requires the individual to define how Cua reaches its target market, what to sell, and how to convert early adoption into a repeatable business model. This role is not about inheriting existing sales procedures; instead, the incumbent will be responsible for creating the entire sales playbook. Responsibilities encompass engaging directly with developers, AI teams, researchers, and companies deploying computer-use agents. This involves leading technical discovery, designing pilot programs, facilitating customer integrations, negotiating deals, and integrating customer insights back into the product development cycle. Furthermore, the lead will be instrumental in identifying, launching, and scaling agent products built upon Cua Driver, spanning open-source adoption, developer products, enterprise infrastructure, and data-driven engagements.

Key responsibilities involve identifying high-value customer profiles and use cases for Cua, building relationships with entities such as AI labs and agent startups, and owning the complete commercial lifecycle from sourcing and demonstration to closing, onboarding, and expansion. The role demands a blend of technical depth, business acumen, and communication skills, requiring the ability to translate complex infrastructure concepts into actionable customer value propositions while managing technical evaluations and pricing. The individual will also focus on connecting the open-source ecosystem, agent products, and infrastructure into a cohesive customer journey, creating technical demonstrations, and channeling structured customer feedback to inform product and engineering decisions. A core objective is establishing the initial go-to-market systems for pipeline management, forecasting, and pricing feedback, while also guiding future hiring decisions for the broader GTM organization.

Success in this position is measured by achieving a deep market understanding within the first three months, actively engaging with the technical community weekly, sharpening the ideal customer profile and positioning, and personally running customer evaluations to build a reliable pipeline. Over a longer timeframe, the goal is to establish an evidence-backed ideal customer profile and buying motion, develop a reliable path from technical evaluation to paid deployment, generate referenceable customers with measurable outcomes, and create repeatable processes for launching agent-based products.

The ideal candidate possesses a background in selling deeply technical products, infrastructure, AI/ML systems, or developer tools. They must be able to maintain a focused perspective on business outcomes while engaging in detailed technical conversations with engineers and researchers. Essential qualities include the ability to independently source opportunities, design pilots, negotiate contracts, and debug technical integrations. Comfort with ambiguity, the capacity to transform ambiguous customer feedback into concrete actions, and exceptional written and presentation skills are also crucial.

Experience selling to AI labs, familiarity with agent architectures, reinforcement learning, or computer automation, and a track record of converting technical adoption into commercial offerings are particularly valuable assets. The company’s vision is centered on providing the full stack for computer-use agents, addressing the need for reliable interfaces, scalable operating environments, and trustworthy evaluation data. By joining early, the lead will directly influence the strategic direction of which products are brought to market and how the entire computer-use category evolves.