Strategic Partnerships

Metaprise•New York, NY

4d•$70,000 - $90,000•Onsite

About The Position

Let’s skip the buzzwords. AI agents are about to become the dominant way enterprises execute work — not just assist it. But there’s a fundamental problem no one has solved: When hundreds of agents operate across systems for days — who authorized them, what boundaries they operate under, and how do you trust the outcome? That’s the gap we’re building for. Metaprise is building the operating system for enterprise AI workforces. Not a tool. Not a wrapper. Not a workflow builder. An Agent Operating System — where multiple agents can be deployed, coordinated, governed, and trusted at scale. A unified execution runtime (AURA) Built-in governance: identity, authority, audit A mission-based execution model — pay only when work is completed Deployable across cloud, hybrid, or fully air-gapped environments Most companies today are stitching together fragmented layers: LangChain → chaining logic Temporal → execution reliability Internal tooling → governance (if any) We’re not another layer in that stack. We’re the operating system that makes the stack irrelevant. A complete, end-to-end solution for deploying, orchestrating, governing, and trusting AI agents at enterprise scale — not a piece of the puzzle, but the whole picture. The product is built. The architecture is proven. The GTM motion is ready. Now we need someone who can put this in the hands of the right customers — and define how enterprises actually run on agents. This is a founding-team role. You will work directly with the CEO. There is no playbook to inherit, no territory map to follow, no manager between you and the decisions that matter. If that sounds like a risk, this isn’t the right seat. If it sounds like the opportunity you’ve been waiting for, keep reading. We want to be honest about what joining Metaprise at this stage really means — because it’s not for everyone, and the people it’s for deserve to know exactly what they’re walking into. Most roles in enterprise tech are comfortable. Predictable. Fine. This one isn’t. We can’t promise you a smooth ride. What we can promise is that this will be the kind of work you’re still proud of in twenty years — the kind most people spend their entire career hoping to find and never do. If you’ve ever felt like you were built for something bigger than what’s in front of you, this is your invitation to prove it. A team that has done this before. This is not our first company. Our founding team has built and scaled ventures across fintech, social platforms, and enterprise automation — multiple times taking products from zero to significant scale. We know what the early days feel like, we know where they break, and we know what kind of people make it through. This time, we’re building for AI because we believe it’s the defining infrastructure shift of our generation. You’d be joining a team that treats urgency as a way of life, not a phase. A career-defining experience. There are very few moments in a career where you get to define how a new category goes to market. This is one. You won’t be executing a playbook someone else wrote. You’ll be the person who builds the relationships, shapes the positioning, and opens the doors that turn a GTM-ready product into a market leader. Five years from now, this will be the story you tell. Direct access to the highest-stakes conversations in enterprise AI. You’ll be in rooms with C-suite leaders at major financial institutions and healthcare organizations, talking about how they govern autonomous systems. You’ll be working alongside — and competing against — the biggest names in Silicon Valley. The exposure alone would take years to accumulate in a conventional role. A real seat at the table. You report directly to the CEO. You participate in strategic decisions — pricing, positioning, market entry, partnership structure. As we grow, the person in this seat has a clear path to VP or CRO-level leadership. We don’t bring people in to fill a box. We bring them in to grow with the company. Performance-based compensation. Competitive base with meaningful upside tied directly to what you deliver. When you create value, you capture value. The structure is designed so that the right person can significantly out-earn what a conventional enterprise role would pay. This role is built for a specific kind of person. You thrive in ambiguity. You’ve operated in environments where nothing was defined and you made it work anyway. You don’t need a CRM to tell you what to do next — you already know who to call and why. If you need a defined territory, a structured onboarding program, or a manager who sets your priorities, we’re not the right fit right now — and that’s genuinely fine. Different stages need different strengths. AI agent deployment is accelerating faster than enterprise governance can keep up. The companies that build the control layer now will own the infrastructure contract for the next decade of enterprise AI. We’re not waiting for the market to mature. We’re building the thing the market will need when it does. If that’s a problem you want to own — and you have the network to move on it — let’s talk.

Requirements

Bachelor’s degree or above.
Hands-on experience in B2B sales or go-to-market roles.
You’ve been in the room, run a sales process, and know what it takes to move an enterprise deal forward.
You have a real network — not a LinkedIn following, but actual relationships where people pick up when you call. In enterprise tech, cloud, consulting, AI, financial services, or adjacent ecosystems.
You can translate what an agent execution runtime does into language a CFO, a Chief Risk Officer, or a Head of AI would actually respond to.
You don’t need to write code, but you need to understand the product deeply enough to earn technical respect.
You have strong instincts for where deals happen before an RFP is ever issued.
You read rooms, not spreadsheets.
You create surface area.
You don’t wait for inbound leads, a territory assignment, or someone to tell you what to do next.
If there’s no playbook, you write one.
You’re energized by the ambiguity of an early-stage company, not drained by it.

Responsibilities

Activate your network across the full ecosystem.
Build relationships with AI model providers, cloud infrastructure vendors, and systems integrators — the partners whose platforms our customers run on.
Map the landscape, identify where autonomous decision-making is creating governance gaps, and position Metaprise as the operating system that closes them.
Build relationships with Heads of AI, Engineering, Risk, and the C-suite.
Drive conversations from first contact through use case identification to strategic partnership.
Qualify where governance, auditability, and control are actively breaking — and you position Metaprise as the answer.
Keep the CEO armed with deal context, stakeholder maps, and real market intelligence.
Feed product insight back into the team.
Shape what we build next based on what the market tells you directly.