AI-Native Product Manager

Zycus; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Zycus is seeking an Enterprise SAAS Product Manager in Bengaluru to shape autonomous AI workstreams. You will partner with engineering to define and build agentic AI capabilities for enterprise customers, driving from concept to production while focusing on measurable business outcomes.

You will own cross-functional delivery, work on LLM orchestration, memory, tool usage, and multi-agent systems, and lead pilots with large enterprise clients to ensure product-market fit.

Qualifications

• You’ve built 0->1 products, not just scaled existing ones.
• You are deeply fluent in AI/LLMs (not buzzwords—actual understanding).
• 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 project.
• You understand multi-agent systems, tool calling, memory, and evaluation.
• You’ve worked on API-first or platform product.
• You think in terms of systems, not feature.

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 on LLM orchestration, tool usage, and agent framework.
• Define agent behaviors, guardrails, feedback loops, and evaluation metrics.
• Engage with enterprise customers to identify use cases and run pilots.
• Collaborate with Engineering, AI/ML, UX, and GTM teams; own lifecycle from ideation to scale.

Skills

AI/LLMs

API-first

Systems thinking

Platform product

Multi-agent systems

Tools

LLM orchestration

Agent framework

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 -> autonomous agents, keep reading

What You’ll Actually Do

You won’t “manage a product.

”You will build an AI workforce

• Design autonomous agents thatreplace human workflows
• Solve problems where instructions are incomplete, data is messy, and outcomes matter
• Work directly with engineers on LLM orchestration, memory, tool use, and reasoning system
• Turn ambiguous enterprise problems into working AI systems in weeks, not quarter
• 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->1 products, not just scaled existing one
• You are deeply fluent in AI/LLMs (not buzzwords—actual understanding
• 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 project
• You understand concepts like multi-agent systems, tool calling, memory, and evaluation
• You’ve worked on API-first or platform product
• You think in terms of systems, not feature

What You’ll Love

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

Why This Role Matter

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

• 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 Developme

• Design AI agents capable of planning, reasoning, and executing multi-step task
• Work with engineering teams on LLM orchestration, tool usage, and agent framework
• 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 -> launch -> scale
• Align stakeholders across global teams
• 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 Softwar
• Experience building or working with AI/ML or GenAI product
• Strong understanding of LLMs, APIs, and AI product architecture
• Experience in workflow automation, platforms, or enterprise systems.