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Mid-level, popular product role in a metro with broad hiring appeal and common title.
AI-focused B2B product experience is transferable, but enterprise domain knowledge increases industry specificity.
Listed years plus required B2B SaaS/AI product experience and technical depth increases screening rigor.
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Lead strategy and define product vision for an Agentic AI platform automating complex enterprise tasks using LLMs, ML, RPA, and computer vision.
Conduct customer discovery, market validation, and translate enterprise pain points into scalable product features.
Manage agile product delivery including backlog prioritization, defining user stories, and collaborating cross-functionally to drive adoption and revenue.
3–8 years of product management experience in B2B SaaS, AI, automation, or enterprise software.
Experience with AI-powered products involving LLMs, computer vision, RPA, or ML.
MBA or degree in engineering, computer science, or related field.
Not explicitly mentioned in the JD: notice period requirements.
Experienced in product management for AI-driven enterprise solutions with a strategic focus on autonomous agents.
Strong technical understanding to collaborate with engineering and data teams on APIs, workflows, and integrations.
Comfortable translating complex, ambiguous enterprise requirements into clear roadmaps and features across multiple industries such as chemicals, manufacturing, or pharma.