Glilot
Hybrid
Full-time

Payoneer is building the AI platform that will enable teams across the company to create, deploy, and operate AI agents safely, consistently, and at scale. 

We are looking for a Principal Product Manager to lead our AI Control Plane, the platform layer that allows developers, and over time broader teams across Payoneer, to build agents without having to solve the underlying infrastructure challenges themselves. 

The vision is simple: teams should be able to focus on what an agent needs to accomplish, the business outcome it should drive, and how it should behave, while the platform takes care of the infrastructure, controls, governance, and reusable capabilities required to make it work reliably. 

This is not a role for someone who has only shipped individual AI features or customer-facing products. We are looking for a product leader who has built internal platforms that other teams build on, understands Agentic AI deeply, and is excited by the challenge of creating foundational capabilities that can unlock AI across an entire organization. 

You will operate at the intersection of Product, Engineering, Architecture, Security, and AI, helping shape how Payoneer builds and scales agentic products for the future. 

What you'll do: 

• Own the AI Control Plane. Define the product vision, strategy, and roadmap for the platform that enables teams across Payoneer to build and operate AI agents. 

• Build for builders. Create a platform experience that allows developers and other teams to focus on business logic and agent behavior while the platform handles the underlying complexity. 

• Create reusable platform capabilities. Define common services, patterns, and infrastructure that can support multiple agents, teams, and use cases rather than one-off implementations. 

• Shape the agent infrastructure. Partner deeply with Engineering and Architecture on the capabilities required to build, manage, and scale agentic systems. 

• Establish control and governance. Define how users, permissions, policies, monitoring, risk, and governance should work across the agent ecosystem. 

• Make agents observable and manageable. Build the capabilities needed to understand how agents behave, where they fail, how they are being used, and how teams can operate them safely. 

• Drive platform adoption. Make the platform simple enough and valuable enough that teams choose to build on it rather than creating their own infrastructure. 

• Set the product standards. Define what good looks like for agent infrastructure, platform quality, scalability, developer experience, and operational readiness. 

• Lead through ambiguity. This is a rapidly evolving space. You will make decisions with incomplete information, evaluate new technologies quickly, and turn emerging capabilities into a coherent platform strategy. 

• Move fast. We are accelerating significantly in this area and are looking for someone who can bring relevant experience from day one and quickly become a driving force behind the platform. 

Who you are: 

Experience 

• An experienced product leader. You have 9+ years of Product Management experience, with a track record of owning complex, technical products. 

• A proven platform builder. You have built or led an internal platform that other teams, products, or developers rely on and build on top of. 

• Principal-level in scope and impact. You have led complex, cross-organizational product areas with a high degree of independence, ambiguity, technical complexity, and influence. 

• Deeply fluent in Agentic AI. You understand how agentic systems work beyond the surface level and can engage meaningfully on agent architecture, orchestration, tools, context, control, reliability, and lifecycle. 

• Platform-minded. You naturally think in reusable capabilities, common infrastructure, self-service, and scalability rather than solving one use case at a time. 

• Technically strong. You can partner closely with senior engineers and architects, understand technical trade-offs, and translate infrastructure complexity into clear product decisions. 

• Comfortable building products for internal users. You do not need your product to be directly customer-facing to see its impact. You are motivated by enabling many teams and products through the capabilities you create. 

• Experienced in 0→1 and transformation. You know how to define a platform before all the answers are known, establish product principles, and evolve capabilities as adoption grows. 

• Strong at influence without authority. You can align Engineering, Architecture, Security, Product, and other stakeholders around a shared platform strategy. 

Advantage: 

• Experience building an AI Platform, Agent Platform, LLM Platform, Developer Platform, or other core technical platform. 

• Experience with AI Agents or Agentic Systems. 

• Experience with areas such as agent orchestration, tool use, MCP, evaluation, guardrails, observability, monitoring, human-in-the-loop, permissions, governance, or policy management. 

• Experience building self-service capabilities for developers or internal product teams. 

• Experience with SDKs, APIs, developer tooling, platform adoption, or developer experience. 

• Experience making build-vs-buy decisions around AI infrastructure or third-party technologies. 

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