Iman Sadhu

Senior Product Manager | AI Products

I build AI products that hold up in production — in industries where getting it wrong has consequences.

$4M+
SaaS licence revenue from product suite
~$598K
Cumulative client cost savings, 2022–2026
50%
Content turnaround reduction via GenAI pipeline
67% → 87%
LLM output accuracy improvement
5
PMs and BAs managed directly
20+
Users in 20+ Countries with active platform adoption

Companies I've worked with

01Case Studies

Case Studies

Four stories from the work. Each one shows a different dimension: technical depth, trust architecture, business scale, and people leadership.

02Frameworks

Frameworks

How I think about the hard problems in AI product work.

03How I Work with AI

How I Work with AI

Most product managers talk about building AI products. Fewer talk about using AI as a product manager. Here is how I use Claude across my product development lifecycle.

01
Story Decomposition
Claude breaks features into build-ready Jira stories. A core email-generation feature became a 24-story epic. A table feature became 20+ stories. The value is not just speed — Claude catches gaps, missing acceptance criteria, and stories that are really two stories.
02
Sprint Risk Analysis
When a sprint has 115 items and 4 days to close, Claude analyses per-assignee load distribution, blocked items and dependency chains. I made 8 descope decisions in one session — with data, not gut feel.
03
Architecture Analysis
Personally analysed two raw JSON payloads from an upstream retrieval API using Claude. Found mistagging and redundant tagging in cluster data that would have corrupted the AI pipeline downstream. Turned findings into product rules before they reached production.
04
Jira Dashboard
Built a Claude-powered dashboard for backlog and release tracking. Query in natural language: “What's blocked in sprint 42?” instead of manually filtering in Jira.
05
Product Handovers
Shared Claude projects (full conversation history, specs, decision logs) as living knowledge bases for new PMs. Each PM queried the project's context directly — compressing onboarding from weeks to days.
06
End-to-End PDLC
The full lifecycle — ideation, requirements, story decomposition, sprint management, stakeholder communication — is now Claude-augmented across my team. This changed how the team operates: faster iteration, higher-quality artefacts, more time on product judgment.

04Writing

Writing

Essays

Published on LinkedIn

05Recommendations

Recommendations

R V PoojaISB Co’26 || Société Générale || IIT MadrasOctober 28, 2026
Iman was senior to R V but didn’t manage R V directly

I’ve had the privilege of being mentored by Iman for the past five months. During this time, I shadowed him closely and asked him countless questions and throughout it all, he was incredibly patient, approachable, and insightful. What stands out most about Iman is his structured approach to problem-solving; his ability to break down complex challenges into clear, actionable steps is a quality that he taught me at the start of my PM journey and it will stay with me throughout my career. Super grateful to be guided by Iman.

Dario Alfredo MichieliniOperations LeadOctober 16, 2026
Dario Alfredo worked with Iman on the same team

I had the pleasure to work with Iman in a client based role handling a semi-complex product which needed improvements on both the technical and client relationship side. His support, based on solid tech ground and amazing collaboration skills, eased my work and provided huge value in both the short and long term, establishing affordable and productive ways of working. His ability to lead a team and reduce requests to digestible technical details made a difference. Of course, I did not experience any issue with his communication. He is a relaxed and focused professional who can lead important and innovative projects with poise.

Janmejaya PandaAssociate Director- Product || Gen AI/ML, NBA Engine - Data Analytics, Brand & Marketing Insights || Product Innovation, Design & DeploymentMay 11, 2025
Janmejaya managed Iman directly

Iman has been a thorough professional who undertakes his responsibility with dedication and tends to each of those with meticulousness, hard work and diligence. It was a pleasure working with you and a great experience leading a dynamic group of individuals that defined the product team.

Akash AnandAI-Driven Digital Transformation & Product Innovation | Product Owner @ IDEXX | MBA – Warwick Business School | Exec Ed – Michigan Ross | CSPO®June 16, 2022
Akash worked with Iman but on different teams

It was a pleasure working with Iman while working at Indegene. We had the opportunity to work on an integration project together. His work ethics is immaculate and so easy to work together with. He is also really passionate about his work and very detail oriented. I wish him all the best for all future endeavors.

Akshita ChandrashekarDesign at Everpure | Previously at WalmartMay 23, 2022
Iman was senior to Akshita but didn’t manage Akshita directly

It was an absolute delight working with Iman for the last 9 months. He is very helpful and really approachable when you need help or clarifications with anything. He is organized and is always looking out to make the product better every day. He is open to improvements and ideas that would help in the growth of the product and takes the right set of decisions keeping the vision of the product in mind always. I'm really glad to have had the opportunity to work with him and would absolutely recommend Iman to anyone looking out for a great product manager.

Paul JärvinenBusiness Controller at Canon FinlandJune 4, 2020
Paul reported to Iman directly

I worked with Iman on the development of digital services for the facility management industry. As the project manager, Iman gives attention to details to the following very scrupulously: 1. The customer point of view 2. Data-driven digital service development 3. Team management I would love to work with him in the future and wish him all the best.

Ngau-Thu (Titi) NguyenSenior Development Engineer at SievoJune 3, 2020
Ngau-Thu (Titi) reported to Iman directly

I worked with Iman in an inventory optimization project for an FMCG company in Finland. It was a pleasure to work with a joyful and responsible team lead. I would recommend him for every position that needs care, responsibility and a sense of humour. His key strengths are: building effective relationships, managing multiple projects from different industries, and digital product development.

01 / 07

View all on LinkedIn

06Let's talk

Let's talk

Email: imansadhu2010@gmail.com
LinkedIn: linkedin.com/in/imansadhu

Send me an email

Iman Sadhu

Case Studies

Frameworks

How I Work with AI

Story Decomposition

Sprint Risk Analysis

Architecture Analysis

Jira Dashboard

Product Handovers

End-to-End PDLC

Writing

The most compliant industry in the world just became the best-positioned for ambient AI

Disrupting Pharmaceutical Content Creation and Email Production with Generative AI

Unleashing the Power of Generative AI in Pharmaceutical MarTech: Overcoming Key Challenges

Recommendations

Let's talk

Iman Sadhu

Case Studies

01Technical Depth · Business ImpactBuilding a Production Agentic Email Platform for PharmaHow I designed and shipped an eight-agent GenAI system that turns a single prompt into a validated, brand-ready pharmaceutical marketing email.

02AI Safety · Evaluation · Stakeholder TrustMaking an LLM System Trustworthy for Regulated PharmaHow I answered the three questions every stakeholder asks about a production LLM system: How deterministic is it? How safe? How auditable?

03Business Impact · GPM LeadershipScaling a Product Suite from Zero to $4M+ in RevenueHow I built a product from scratch, grew it into a four-product suite, and won separate buy-in for three roadmaps.

04People Leadership · AI-Native WorkflowBuilding a PM Team Through an AI Product TransformationHow I scaled PM capacity from one person to a team of five while embedding AI into the product development lifecycle.

Frameworks

01The Three Questions: Earning Trust in Production LLM SystemsHow deterministic is it? How safe is it? How auditable is it? A repeatable approach for answering these in regulated industries.

02Evaluation Design for Multi-Agent PipelinesPer-agent metrics as the diagnostic layer, one end-to-end score, instrumented before you ship.

03Scope Governance Under AmbiguityDemand vs capacity framing, requirements freeze before solutioning, two-option stakeholder management.

04Building AI Products in Regulated IndustriesCompliance is architecture. Explainability is a feature. The MLR cycle is a constraint you design around.

How I Work with AI

Story Decomposition

Sprint Risk Analysis

Architecture Analysis

Jira Dashboard

Product Handovers

End-to-End PDLC

Writing

01Essay · 6 min readWhy I Separate Zero-Variance Zones from Measured-Variance Zones in Every LLM SystemThe framework I use to answer “is it deterministic?” for stakeholders in regulated industries.

02Essay · 6 min readHow I Use Claude Across My Entire Product Lifecycle — and What It Can't DoAn honest walkthrough of where AI helps a PM, where it does not, and where human judgment is non-negotiable.

03Essay · 7 min readWhat Building AI Products in Pharma Taught Me About TrustCompliance is architecture. Explainability is a feature. And the MLR cycle is a constraint you design around, not a blocker you fight.

The most compliant industry in the world just became the best-positioned for ambient AI

Disrupting Pharmaceutical Content Creation and Email Production with Generative AI

Unleashing the Power of Generative AI in Pharmaceutical MarTech: Overcoming Key Challenges

Recommendations

Let's talk