Product Manager Agentic AI

Zycus; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Zycus is building an unprecedented Agentic AI platform to transform enterprise procurement. The Product Manager will shape strategy, define product roadmaps, and lead cross-functional teams to deliver autonomous AI agents that can plan, reason, and execute tasks across procurement workflows.

You will work with engineering and AI/ML groups to orchestrate LLMs, memory, and tool use, translating complex problems into production-ready AI solutions for global enterprises.

Qualifications

• 5-10 years of Product Management experience in SaaS/enterprise environments.
• Experience building or working with AI/ML or GenAI products.
• Strong understanding of LLMs, APIs, and AI product architecture.
• Experience in workflow automation, platforms, or enterprise systems.
• Ability to translate business problems into AI-native product solutions.

Responsibilities

• Define and drive the roadmap for Zycus’ Agentic AI platform and use cases.
• Identify high-impact opportunities to replace workflows with autonomous agents.
• Translate business problems into AI-native product solutions.
• Design AI agents capable of planning, reasoning, and executing multi-step tasks.
• Work with engineering teams on LLM orchestration, tool usage, and agent frameworks.
• Define agent behaviors, guardrails, feedback loops, and evaluation metrics.
• Engage with enterprise customers to identify use cases, run pilots, and iterate.
• Build products that drive measurable business outcomes (cost savings, efficiency, compliance).
• Collaborate with Engineering, AI/ML teams, UX, and GTM teams.
• Own product lifecycle from ideation to launch to scale.

Skills

Product thinking

Agentic AI concepts

Architecture trade-offs

Data-driven mindset

Stakeholder management

Job description

Job Description:

We are looking for a Enterprise SAAS Product Manager who can shape the future of our enterprise software by building Agentic AI products. You will work closely with engineering to build category-defining AI products for enterprise customers. This Product Manager will drive the development of autonomous agents that can reason, decide, and execute tasks across procurement functions.If you’re looking to manage backlogs, write PRDs, and optimize existing features—this role is not for you. If you want to build category-defining AI products from scratch, work on problems that don’t yet have clear answers, and shape how enterprises transition from software to autonomous agents, keep reading.

What You’ll Actually Do

You won’t “manage a product.”

You will build an AI workforce.

• Design autonomous agents that replace human workflows, not just assist them
• Solve problems where instructions are incomplete, data is messy, and outcomes matter
• Work directly with engineers on LLM orchestration, memory, tool use, and reasoning systems
• Turn ambiguous enterprise problems into working AI systems in weeks, not quarters
• Ship fast, break things (responsibly), and iterate even faster

The Problems You’ll Solve

• Can an AI agent negotiate with suppliers?
• Can it run sourcing events end-to-end?
• Can it detect risk, take decisions, and execute actions autonomously?
• Can enterprises trust AI to operate critical workflows?

You will answer these—not in slides, but in production.

Who You Are (Non-Negotiables)

• You’ve built 0 to 1 products, not just scaled existing ones
• You are deeply fluent in AI/LLMs (not buzzwords—actual understanding)
• You can go from problem to architecture to shipped product
• You are comfortable debating engineers on system design
• You move fast without waiting for perfect clarity
• You’ve hacked together your own AI agents or side projects
• You understand concepts like multi-agent systems, tool calling, memory, and evaluation
• You’ve worked on API-first or platform products
• You think in terms of systems, not features

What You’ll Love

• Building something that doesn’t exist yet
• Extreme ownership and autonomy
• Working with people who care about building, not politics
• Seeing your product used by global enterprises at scale

Why This Role Matters

Most SaaS companies are adding AI as a feature.

At Zycus, we are rebuilding enterprise software as a system of autonomous agents.

If we get this right, this won’t just be a product.

It will redefine how work gets done.

Key Responsibilities

1. Product Strategy & Vision

• Define and drive the roadmap for Zycus’ Agentic AI platform and use cases
• Identify high-impact opportunities to replace workflows with autonomous agents
• Translate business problems into AI-native product solutions

2. Agentic AI Product Development

• Design AI agents capable of planning, reasoning, and executing multi-step tasks
• Work with engineering teams on LLM orchestration, tool usage, and agent frameworks
• Define agent behaviors, guardrails, feedback loops, and evaluation metrics

3. Customer-Centric Innovation

• Engage with enterprise customers (CPOs, procurement leaders) to identify use cases
• Run pilots, gather feedback, and iterate rapidly
• Build products that drive measurable business outcomes (cost savings, efficiency, compliance)

4. Cross-Functional Leadership

• Collaborate with Engineering, AI/ML teams, UX, and GTM teams
• Own product lifecycle from ideation to launch to scale
• Align stakeholders across global teams

5. Data & AI Excellence

• Define metrics for agent performance (accuracy, autonomy, reliability)
• Drive continuous improvement using data, feedback loops, and model evaluation
• Ensure responsible AI practices, governance, and compliance

What We’re Looking For

Experience

• 5-10 years in Product Management (preferably in SaaS / Enterprise Software)
• Experience building or working with AI/ML or GenAI products
• Strong understanding of LLMs, APIs, and AI product architecture
• Experience in workflow automation, platforms, or enterprise systems is a plus

Skills

• Strong product thinking: problem framing - solution design - execution
• Understanding of Agentic AI concepts (multi-agent systems, tool use, memory, reasoning)
• Ability to work with technical teams on architecture and trade-offs
• Data-driven mindset with strong analytical skills
• Excellent communication and stakeholder management

Why Join Zycus?

• Build one of the first enterprise-grade Agentic AI platforms
• Work on cutting-edge AI problems beyond copilots—towards autonomy
• High ownership and visibility with leadership
• Opportunity to define a new category in enterprise software

Success in This Role Looks Like

• Launching AI agents that automate complex procurement workflows end-to-end
• Driving measurable ROI for enterprise customersBuilding scalable, reliable, and intelligent agent systemsEstablishing Zycus as a leader in Agentic AI

  About Zycus

  Zycus is a global leader in Source-to-Pay (S2P) procurement software, helping large enterprises drive efficiency, compliance, and measurable value across their procurement and finance operations. Trusted by leading Fortune 1000 organizations worldwide, Zycus enables procurement teams to move from cost control to strategic value creation.

  At the core of Zycus’ platform is Merlin AI, an advanced AI-powered engine that brings intelligence, automation, and predictive insights across the entire procurement lifecycle—from sourcing and contract management to procurement, invoicing, and supplier management. Merlin AI empowers Chief Procurement Officers and finance leaders to make faster, smarter decisions with real-time visibility and actionable insights.

  Zycus is consistently recognized by top industry analysts such as Gartner, Forrester, and IDC for its innovation, depth of functionality, and strong customer outcomes. Known for its enterprise-grade solutions, global delivery model, and customer-first mindset, Zycus partners closely with organizations to modernize procurement and unlock long-term business value.

  With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.

  Requirements: