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Product Lead, Agentic AI Platform - Industrial IoT

Product Lead, Agentic AI Platform - Industrial IoT

hyphen partners
10-12 Years
Not Disclosed
  • Posted 4 hours ago
  • Be among the first 10 applicants

Job Description

A global industrial IoT company building AI-native platforms is looking for a senior product leader to define and drive the vision for its AI Agent Workbench, a core platform enabling internal engineering teams and enterprise customers to build, deploy and scale AI agents and autonomous workflows.

This is a highly technical product leadership role at the intersection of AI, developer platforms and physical infrastructure. You'll own the product strategy and roadmap, translating complex capabilities such as LLM orchestration, RAG, MCP and multi-agent systems into a platform that developers can use to build reliable, scalable AI applications.

A key focus will be shaping the end-to-end developer experience, from agent builder interfaces and workflow orchestration to APIs, SDKs, evaluation environments and tool integrations. You'll also define capabilities for multi-agent coordination, agent tracing, performance monitoring and cost optimisation, alongside governance features covering permissions, data privacy, security and human-in-the-loop approvals.

We're looking for a senior product leader with 10+ years of experience in product management or software development and a strong technical foundation in software engineering, backend architecture, distributed systems or platform engineering. Practical experience building AI-powered applications, agents or workflow automation is important, alongside familiarity with LLMs, RAG, agent orchestration frameworks, vector databases and modern software delivery practices.

More Info

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Industry:
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Key Skills

multi-agent systems

tool integrations

vector databases

platform engineering

AI developer platforms

workflow automation

agent tracing

LLM orchestration

evaluation environments

multi-agent coordination

human-in-the-loop approvals

AI-powered applications

backend architecture

RAG

modern software delivery practices

SDKs

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