Product Lead, AI Workbench & Agent Orchestration

UNIVERS PTE. LTD.

Singapore

On-site

SGD 180,000 - 300,000

Full time

4 days ago
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Job summary

Univers seeks a product leader to define the vision, strategy, and roadmap for the AI Agent Workbench, a core platform enabling internal and external teams to build, deploy, manage, and scale AI Agents and workflows.

You’ll bridge AI capabilities with physical infrastructure workflows, guiding architecture, developer experience, and governance to set industry standards for enterprise AI engineering.

Qualifications

  • 10+ years in product management or software development.
  • Strong background in AI and language technologies.
  • Experience with large-scale distributed, high concurrency systems.

Responsibilities

  • AI Workbench Strategy: define the product vision, roadmap, and positioning for the AI Workbench.
  • Use Case Expansion: identify high-impact AI enablement opportunities across internal operations and external ecosystems.
  • Agent Builder & Studio: define requirements for low-code/pro-code interfaces and tool integration.
  • API & Integration Architecture: shape developer APIs, SDKs, and tool integration specs.
  • Multi-agent Orchestration: lead capabilities for multi-agent coordination.
  • Enterprise AI Governance: define guardrails for responsible AI, RBAC, data privacy.
  • Observability & Evaluation: specify agent tracing, cost analytics, latency, evals.

Skills

Product strategy
AI/ML experience
Distributed systems
Backend engineering

Education

Bachelor’s or Master’s degree in CS/Math/Software Engineering

Tools

LangChain
LangGraph
MCP
Vector databases

Job description

Univers seeks a product leader to define the vision, strategy, and roadmap for the AI Agent Workbench, a core platform enabling internal and external teams to build, deploy, manage, and scale AI Agents and workflows.

You’ll bridge AI capabilities with physical infrastructure workflows, guiding architecture, developer experience, and governance to set industry standards for enterprise AI engineering.

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