Own the strategy, roadmap, delivery, and growth of an agentic AI platform for enterprise automation. Lead customer discovery, market validation, prioritization, agile execution, cross-functional collaboration, product demos, and AI governance. Translate enterprise pain points into scalable features while partnering with engineering, AI/ML, design, sales, marketing, and solutions teams.
About the Role
We are seeking a
dynamic Product Manager to lead the strategy, development, and growth of
our Agentic AI platform – a suite of AI-powered agents designed to
automate complex, cross-functional enterprise tasks. You will define product
vision, identify opportunities across industries (e.g., chemicals,
manufacturing, logistics, compliance), and collaborate with engineering,
design, and go-to-market teams to bring cutting-edge automation solutions to
life.
Key
Responsibilities
- Product Strategy & Vision
- Define and own the roadmap for Agentic AI
products across key verticals.
- Shape the vision for autonomous AI agents
using LLMs, ML, RPA, and computer vision.
- Customer & Market Insights
- Conduct customer discovery, competitor
analysis and market validation.
- Translate real-world enterprise pain
points into scalable product features and flows.
- Execution & Delivery
- Work closely with engineering and AI/ML
teams to scope and deliver features using agile methodologies.
- Prioritize backlog, define epics/user
stories, and drive end-to-end product delivery.
- Cross-functional Leadership
- Collaborate with design, sales,
marketing, and solutions teams to drive adoption and revenue.
- Lead product demos, internal enablement,
and client presentations.
- Product Lifecycle & Governance
- Define frameworks for AI agent governance
post-deployment (e.g., ownership, monitoring, compliance).
- Ensure ethical and reliable performance
of AI agents within enterprise environments.
Requirements
- 5–8 years of product management experience
in B2B SaaS, AI, automation, or enterprise software.
- Experience working with or building
AI-powered products – LLMs, computer vision, RPA, or ML.
- MBA or degree in engineering, computer
science, or related field.
- Strong grasp of process automation in
industries like manufacturing, chemicals, pharma, or logistics are a plus.
- Ability to translate ambiguous
requirements into clear product roadmaps and features.
- Technical depth to work with engineering
and data teams; familiarity with APIs, workflows, and system integrations.
- Excellent communication, prioritization,
and stakeholder management skills.
What We Offer
- A chance to shape a category-defining
product in autonomous enterprise automation.
- High ownership, fast-paced environment
with strong support from design and engineering.
Key Skills – Product Discovery, Customer
Discovery, Market research, Competitor analysis, Beta testing, MVP, GTM,
Product Execution, Product Backlog, User
Experience
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