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Maven AGI is an enterprise AI platform on a mission to unleash business artificial general intelligence (AGI), starting with customer service. Founded in July 2023 by executives from HubSpot, Google and Stripe, Maven builds conversational AI agents capable of delivering accurate, autonomous support that delights customers at scale.

Our platform unifies fragmented systems, integrates knowledge and personalization sources, and enables intelligent actions - all without costly system changes. We’re laying the foundation for a future where our technology handles complex tasks, allowing people to focus on what they do best: creative problem-solving, relationship building, and delivering exceptional customer experiences.

We’ve started by reimagining the enterprise customer experience with a support use case. We believe that today’s support experience is broken: slow and painful for customers, and expensive and human capital intensive for companies.

We are building Maven to deliver better, cheaper support, for both end users and agents. With recent advancements in Generative AI, it is now possible to deliver delightful customer experiences at a fraction of today’s cost.

Maven has assembled a world-class team from Google, Meta, Amazon, and Stripe, and is supported by executives & Advisors from OpenAI, Google, HubSpot, and Stripe.

Maven's agents are only as good as the systems they can reach. Every enterprise customer runs on a different stack of CRMs, ticketing systems, knowledge bases, commerce platforms, identity providers, and internal tools. Our agents have to read from all of them, take action inside them, and do it reliably.

The Integrations layer is what makes that possible. It's how our agents fetch a customer's order history from Shopify, update a ticket in Zendesk, look up an account in Salesforce, pull a knowledge article from Confluence, and trigger a refund inside a homegrown billing system.

We're hiring a Group PM to own this layer end-to-end. You'll define what Maven integrates with, how deep those integrations go, and how we scale the platform so that adding the next integrations doesn't require building each one by hand. You'll own the roadmap, the P&L, and the direct relationships with the enterprise customers whose stacks we live inside.

• Roadmap and prioritization for Maven's integration portfolio. Which systems we support, at what depth, and in what order.

• The underlying integration platform. Tooling, frameworks, and patterns that let Maven ship new integrations faster over time and let customers extend the platform themselves.

• Depth versus breadth tradeoffs. A read-only Salesforce connector is not the same product as a full read/write integration with custom object support, and you'll own how we make those calls.

• Enterprise customer engagement. You'll be in the room when customers describe their stack, and you'll translate that into integration requirements engineering can build against.

• Actions and tool use. Maven's agents don't just retrieve information, they take actions inside customer systems. You'll own how those actions are defined, tested, and made safe at enterprise scale.

• Partner ecosystem strategy. Which platforms warrant a formal partnership, which stay in our own build queue, and how we approach marketplace listings on Salesforce AppExchange, Zendesk Marketplace, and similar channels.

• Cross-functional partnership with GTM to convert integration depth into enterprise wins, and with customer success to turn integration issues into product improvements rather than support tickets.

• 8+ years of product management experience, with meaningful time on integrations, APIs, developer platforms, or iPaaS products.

• You’ve built and shipped integration products before. You understand the difference between a connector, an integration platform, and an actions framework, and you can explain the difference,

• Direct experience with the systems Maven agents touch: CRMs (Salesforce, HubSpot), ticketing (Zendesk, ServiceNow, Freshdesk), knowledge bases (Confluence, Notion, Guru), commerce (Shopify, Stripe), and identity (Okta, Auth0). You don't need all of them, but you've worked inside several.

• Fluent in the technical building blocks: REST and GraphQL APIs, webhooks, OAuth, rate limits, event streams, and the failure modes that come with each.

• You’ve operated in both startup and scaled environments and know when to build in-house versus when to buy or partner.

• You extract requirements from messy customer conversations and turn them into PRDs. Non-negotiable.

• You're a problem solver, not a project manager. You’ve been the person deciding what to build and why.

• Real enthusiasm for AI, LLMs, and autonomous agents, and a clear point of view on how integrations change when the caller is an agent instead of a human developer.

• Strong communication across audiences. Technical enough to hold your own with engineering, but clear enough to translate for enterprise stakeholders and GTM.

Hybrid in Boston, San Francisco, or New York.

Base salary of $190,000 to $230,000, plus bonus, comprehensive benefits, and equity in a well-funded, high-growth AI company.

• You own a P&L, not a backlog. Your product line has customers, revenue, and a roadmap you define.

• Integrations at Maven is not a services function or a \"nice to have.\" It's the difference between an agent that can talk about a customer's problem and an agent that can actually solve it.

• Maven has the strongest product on the market for complex enterprise AI use cases. Our conversion rate from first conversation to close speaks for itself.

• A growing roster of enterprise brands is betting on Maven for their AI agent strategy.

• This isn't a proof of concept! We're deploying AI agents into production for enterprise customers today.

Join us in changing the face of enterprise customer support!