Senior Product Manager (AI Platform and Agents)

About the role

We are seeking a Senior Product Manager to lead the development and scaling of AI Agent capabilities that enhance industrial diagnostics, automation, and decision‑making. You will collaborate with AI, engineering, and domain experts to deliver trusted AI products for mission‑critical industrial operations.

Key responsibilities

• Own the roadmap and execution for AI Agent products across the platform.
• Define AI Agent use cases that improve industrial diagnostics, monitoring, and operational workflows.
• Partner with AI/ML engineers to build, evaluate, and deploy production‑grade AI agents.
• Work closely with engineering, design, and business teams to deliver customer‑centric AI experiences.
• Define product success metrics and continuously improve AI performance using customer feedback.
• Prioritize features based on business impact, technical feasibility, and customer value.
• Drive product discovery, user research, roadmap planning, and release management.
• Ensure AI products are reliable, interpretable, and trusted by industrial users.
• Stay updated with advancements in generative AI, LLMs, and AI Agent frameworks.

Required profile

• 4+ years of product management experience with enterprise software products.
• 1+ years building or managing AI‑powered products, preferably AI agents or autonomous workflows.
• Strong understanding of LLMs, AI agents, prompt engineering, RAG, MCP, orchestration frameworks, and AI evaluation techniques.
• Experience working closely with AI/ML engineers and data scientists throughout the product lifecycle.
• Ability to define product strategy, prioritize roadmaps, and translate business problems into AI solutions.
• Experience with B2B SaaS products serving enterprise customers.
• Excellent stakeholder management and communication skills.
• Bachelor's degree in Computer Science, Engineering, or related field; Master’s a plus.

Required skills

• LLMs
• AI agents
• Prompt engineering
• Retrieval Augmented Generation (RAG)
• MCP
• Orchestration frameworks
• AI evaluation techniques
• B2B SaaS