Founding CMO

About the role

This Founding CMO position at AIsa involves creating and scaling the company's growth engines. A core responsibility is to develop a product-led growth strategy, focusing on optimizing the developer adoption funnel from initial API key usage to sustained engagement. The role demands a leader who understands how to drive developer growth through product experience rather than traditional advertising.

The role also encompasses building and managing strategic partnerships within the AI agent ecosystem. This includes identifying and securing integrations with agent platforms, collaborating with cloud providers, and expanding AIsa's reach through various ecosystem plays. The CMO will also be responsible for establishing the enterprise go-to-market strategy from scratch, targeting AI startups and technology companies, and scaling enterprise revenue.

Finally, the CMO will define AIsa's market narrative and positioning, producing high-quality content that establishes the company as a leader in AI agent infrastructure. This involves thought leadership, technical content, and community engagement, moving beyond generic marketing to articulate AIsa's unique value proposition in a rapidly evolving market.

The compensation for this role ranges from $120,000 to $250,000 annually, in addition to significant equity as a founding team member.

Skills that matter here

• API-first, developer tools, or cloud infrastructure company: Experience in this sector is crucial for understanding developer adoption patterns and usage-based business models, which are central to AIsa's offering.
• PLG motion: The role requires building a product-led growth strategy from the ground up, including defining metrics and driving measurable adoption for AIsa's self-serve developer and agent adoption.
• enterprise business: This position involves establishing and scaling the enterprise sales motion, from identifying target accounts to closing contracts and growing enterprise revenue.
• AI/LLM products: A deep understanding of AI agent architectures, tool-use patterns, and the emerging agent ecosystem is necessary to effectively position AIsa's infrastructure.
• technical acumen: The ideal candidate can understand API documentation, system architectures, and engage in technical discussions with engineering teams and buyers.
• blockchain infrastructure or Web3 developer platform company: Experience in this area is valued for its relevance to building developer-facing infrastructure in nascent and rapidly evolving technological ecosystems.

Who this role suits

• Someone with a proven history of launching and scaling product-led growth initiatives in early-stage, API-first companies.
• A leader who has successfully built and grown an enterprise sales function from its inception within an infrastructure company.
• An individual who possesses strong technical understanding, capable of engaging with complex API products and system architectures.
• A strategist who can articulate a compelling market narrative and establish thought leadership in a new, rapidly evolving technology space.

From the employer

What You'll Own

• Product-Led Growth Engine

Build and scale AIsa’s self-serve developer and agent adoption motion. Define the activation funnel — from first API key to sustained usage — and systematically optimize every step. You’ve done this before at an API-first or infrastructure company and know that developer growth is earned through product experience, not ad spend.

• Ecosystem & Platform Partnerships

AIsa sits at the intersection of AI agent frameworks, LLM providers, and API ecosystems. You’ll identify, negotiate, and execute partnerships that drive integration and distribution — whether that’s getting AIsa embedded as a default resource layer in agent platforms, co-GTM with cloud providers, or ecosystem plays that expand our surface area.

• Enterprise GTM (0→1)

Our highest-value customers are AI startups and technology companies building agent-based products. You’ll build the enterprise motion from scratch — from identifying target accounts and running the sales cycle to defining pricing, packaging, and closing contracts. We need someone who has launched an enterprise offering at an infrastructure company and scaled it to meaningful ARR.

• Narrative & Market Positioning

Own AIsa’s external voice. Produce high-signal content that establishes AIsa as the definitive infrastructure layer for the agent economy. This means thought leadership, technical content, speaking engagements, and community presence — not generic marketing collateral.

What We're Looking For

• Must-Haves
• 7+ years of experience in growth, GTM, or commercial leadership roles at technology companies, with at least one stint at an API-first, developer tools, or cloud infrastructure company (e.g., companies in the vein of Twilio, Stripe, Vercel, Supabase, OpenAI, or similar).
• Proven track record of building a PLG motion from scratch at an early-stage company — including setting up the growth function, defining metrics, and driving measurable adoption.
• Direct experience building and scaling enterprise business from zero — identifying ICP, running sales cycles, closing contracts, and growing enterprise as a percentage of revenue.
• Deep understanding of API products, developer adoption patterns, and usage-based business models.
• Hands-on experience with AI/LLM products and a working understanding of agent architectures, tool-use patterns, and the emerging agent ecosystem.
• Strong technical acumen — you can read API docs, understand system architectures, and hold your own in conversations with engineering teams and technical buyers.
• Experience at a blockchain infrastructure or Web3 developer platform company (e.g., node providers, RPC infrastructure, wallet SDKs, or similar) — we value the pattern-matching from building developer-facing infra products in a nascent, rapidly evolving ecosystem.

• Strong Plus
• Experience with infrastructure products that serve both individual developers and enterprise customers (dual PLG + enterprise motion).
• Track record of building and managing ecosystem partnerships that drove meaningful product integration and distribution.
• Prior founding or early-hire experience (employee #1–20) at a venture-backed startup with demonstrated ability to operate across multiple functions simultaneously.
• Experience contributing to product development alongside GTM execution — e.g., shaping product roadmap, defining features based on customer feedback, working directly with engineering.
• Familiarity with AI agent frameworks and communities (OpenClaw, LangChain, CrewAI, AutoGPT, Semantic Kernel).
• Existing network within the AI infrastructure and developer tools ecosystem.

Compensation

• Competitive base salary + significant equity as a founding team member.