We are looking for an AI-native Product Manager who understands that building software in the age of AI is fundamentally different from traditional product development. You will be responsible for taking ideas from problem → specification → prototype → working product → production at extremely high speed using AI-first development methods. This is not a traditional Product Manager role. You should be comfortable with AI full-stack development, vibe coding, AI coding agents, rapid prototyping, LLMs, agentic workflows, APIs, databases, and modern AI development tools. You should be able to build enough yourself to validate ideas before asking a traditional engineering team to spend weeks implementing them.
What You Will Own
● Product vision and roadmap for Enque AI Agentic Systems.
● AI-native product discovery.
● Rapid prototyping and validation.
● Product specifications and workflows.
● Agent behavior and interaction design.
● AI-native application development.
● Feature prioritization.
● Product experimentation.
● Product analytics and adoption.
● Continuous product improvement.
AI-Native Product Development You will use AI as a core part of the development process. Expected approaches include:
● AI coding agents.
● Vibe coding.
● LLM-assisted development.
● AI-generated prototypes.
● Rapid full-stack application development.
● AI-assisted debugging.
● AI-assisted testing.
● Automated documentation.
● AI-assisted research and analysis.
● Rapid experimentation and iteration. The expectation is to dramatically reduce the time between: Idea → Prototype → User Feedback → Product → Production.
Key Responsibilities Product Discovery
● Identify high-value problems worth solving.
● Work with customers and internal teams to understand workflows.
● Identify opportunities where agents can replace, augment, or orchestrate human work.
● Define product hypotheses and validate them rapidly. Product Building
● Create functional prototypes yourself using AI-native development methods.
● Build full-stack proofs of concept where appropriate.
● Work directly with LLMs, APIs, databases, agent frameworks, and integrations.
● Turn product concepts into working interfaces and workflows quickly.
● Use AI coding tools to accelerate development.
● Iterate rapidly based on user feedback. Product Definition
● Write concise PRDs and product specifications.
● Define workflows, user journeys, system behavior, and acceptance criteria.
● Define agent instructions, tools, permissions, context, memory, and guardrails.
● Define evaluation criteria for AI-powered features. Product Execution
● Work closely with core AI engineers and builders.
● Prioritize the highest-impact work.
● Reduce unnecessary engineering cycles through rapid prototyping.
● Validate ideas before committing significant engineering resources.
● Ship frequently.
● Measure product outcomes and continuously iterate.
Technical Expectations You should be comfortable with:
● LLMs and GenAI.
● AI agents.
● Agentic workflows.
● APIs.
● Frontend development.
● Backend development.
● Databases.
● Authentication.
● Cloud deployment.
● Git/GitHub.
● AI coding agents.
● Prompt engineering.
● RAG.
● Tool/function calling.
● Basic system architecture.
You do not need to be the world's best software engineer. But you must be capable of building. The Mindset We Want Traditional approach: Requirement → PRD → Design → Engineering → Development → QA → Release AI-native approach: Problem → AI-assisted prototype → Test with user → Iterate → Build → Ship → Learn → Improve We are looking for someone who naturally works in the second mode.
Not a Fit If
● You are purely a traditional Product Manager.
● You depend entirely on engineers to build prototypes.
● You are uncomfortable writing code.
● You have no hands-on experience with AI development tools.
● You prefer lengthy documentation and planning over rapid experimentation.
● You view AI only as a feature rather than a new way of building software.
Ideal Candidate
● Has built AI/GenAI products.
● Has hands-on experience with LLMs and AI agents.
● Has built full-stack applications.
● Uses AI coding tools regularly.
● Can rapidly prototype ideas.
● Has strong product judgment.
● Understands users and business problems deeply.
● Can communicate with engineers at a technical level.
● Has a strong bias toward shipping.
Success in This Role Your success will be measured by how quickly and effectively you turn valuable ideas into working AI-native products. The expectation is not to manage development. The expectation is to drive and participate in development using AI to dramatically increase product velocity. Core Principle Don't just manage the builders. Become an AI-native builder yourself.
Pay: ₹30,000.00 - ₹80,000.00 per month
Benefits:
- Flexible schedule
- Paid time off
- Provident Fund
Work Location: In person
