Product Manager - Prompt Engineering

Role:

Function:

Location:

Compensation:

About Company

This fast-growing, AI-led venture is transforming how modern teams operate by developing intelligent productivity and collaboration solutions—particularly for fast-paced, go-to-market environments. With strong early traction and growing revenues, the company has attracted investments across angel, seed, and most recently, Seed Plus funding rounds from globally renowned investors who share its bold vision. Its mission is rooted in applying Nudge Theory—a behavioural economics concept—to drive smarter sales behaviour. By surfacing timely, actionable insights from sales playbooks and customer data, the platform enables better decision-making, sharper prioritisation, and more personalised outreach. This leads to improved performance and stronger customer engagement. Currently in its growth phase, the company is assembling a high-performance team to scale its impact further.

Position Overview

You architect the self-learning prompt system that turns static sales playbooks into revenue-driving AI experiences. You own the design, launch, and iteration of modular prompts so Customer Success can ship value in days, not quarters. Your work builds a GTM brain that evolves with every client interaction.

Role & Responsibilities

• Audit and rebuild the current prompt stack for clarity, modularity, user experience, and minimal manual effort
• Create a Prompt Block Library of reusable components mapped to GTM concepts such as objections, competitors, and call stages
• Launch a Customer-Success-friendly configuration flow that lets teams spin up AI playbooks without engineering support
• Build a feedback system that tracks prompt performance, failures, and root causes
• Partner with Customer Success to deliver case studies where AI playbooks save pipeline
• Drive an information network across clients so learnings from one objection improve outcomes for all
• Within 90 days: ship rebuilt prompt stack, launch five playbooks with measurable sales impact, stand up library and feedback engine, and publish a prompt-writing guide

Must have Criteria

• 3–6 years in product, growth, or systems PM roles, ideally focused on

  GTM

  ,

  AI/NLP

  , or

  workflow automation

• Ability to think like a product architect and see systems, not isolated features
• Strong written communication and UX copy skills
• Track record of building reusable, scalable systems that cut manual operations
• Curiosity about

  prompt engineering

  and how to make prompts teach themselves
• Desire for a fast learning loop with founders, Customer Success, Product Marketing, and GTM teams

What We Offer

• Equity ownership through a competitive ESOP package
• Lean salary with upside after the next funding milestone
• Hybrid work model: collaborate in person 2–3 days per week in Gurgaon or Bangalore
• Culture focused on velocity, context, and true ownership—no PM theatre
• Team of systems thinkers who value clear communication and rapid iteration