AI Product Manager

DaMENSCH; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

DaMENSCH is seeking a data-driven professional to build AI-native solutions and lead problem-solving across growth, operations and technology. You will prototype with Python and APIs, design MVPs, and collaborate with business and data teams to deploy scalable AI workflows.

Ideal candidates bring 2–4 years of experience, strong problem-solving, and hands-on experience with OpenAI/Claude/Gemini or similar LLMs. Excellent communication and a bias for action are required.

Qualifications

• Strong problem-solving and first-principles thinking.
• Proficient in Python and data handling.
• Experience with OpenAI, Claude, Gemini or similar LLMs.
• Solid knowledge of SQL, APIs and data structures.
• Excellent prompt engineering and AI-driven workflow design.
• Experience with machine learning basics, statistics and analytics.
• Ability to conduct RCA and derive actionable insights.
• Strong written and verbal communication.
• Comfort operating in ambiguity and taking initiative.

Responsibilities

• Partner across Growth, Marketing, Supply Chain, Finance, Operations, Customer Experience and Technology.
• Find high-impact bottlenecks and run structured RCA.
• Turn ambiguous asks into clear problem statements and actionable hypotheses.
• Prioritise opportunities by business impact, effort and scalability.
• Gather and consolidate requirements from business stakeholders.
• Write crisp PRDs covering workflows, rules, data, edge cases and success metrics.
• Design testable MVPs and Build vs Buy vs Integrate decisions.
• Work with business, data and technology teams to take solutions live.
• Prototype using Python, APIs, structured data and LLMs.

Skills

Python

Data analysis

LLMs

Prompt engineering

RCA

PRDs writing

SQL

APIs

Communication

Tools

OpenAI

Claude

Gemini

Job description

Here’s what your roles and responsibilities will look like:

01-Business problem solving

Partner across Growth, Marketing, Supply Chain, Finance, Operations, Customer Experience and Technology.

Find high-impact bottlenecks and run structured, data-driven Root Cause Analysis (RCA).

Turn ambiguous asks into clear problem statements and actionable hypotheses.

Prioritise opportunities by business impact, effort and scalability.

02-PRDs and solution design

Gather and consolidate requirements from business stakeholders.

Write crisp PRDs covering workflows, rules, data, edge cases and success metrics.

Design testable MVPs and make Build vs Buy vs Integrate decisions.

Work with business, data and technology teams to take solutions live.

03-Build AI-native solutions

This is a hands-on role. You should be able to independently prototype using Python, APIs,

structured data and LLMs.

TYPICAL BUILDS-

AI COPILOTS CHATBOTS

RCA ENGINES AI AGENTS

RAG SYSTEMS DECISION TOOLS

REPORTING AUTOMATION

Run practical AI workshops and prompt-engineering sessions.

Create reusable prompts, workflows and internal playbooks.

Redesign repetitive work with an AI-first mindset.

Build AI champions and drive sustained adoption across teams.

WHAT WE'RE LOOKING FOR

2-4 years of high-quality professional experience.

Strong structured problem-solving and first-principles thinking.

Strong Python skills and comfort working with data.

Working knowledge of SQL, APIs and data structures.

Hands-on experience with OpenAI, Claude, Gemini or similar LLMs.

Strong prompt engineering and AI-assisted workflow design.

Working knowledge of machine learning, statistics and analytics.

Ability to conduct RCA, derive insights and write excellent PRDs.

Exceptional written and verbal communication.

Curiosity, bias for action and comfort operating in ambiguity.