Commercial impact
Enterprise AI, workflow transformation and revenue-recovery platforms.
I’ve scaled enterprise products delivering$100M+ Commercial Impact
Principal / Group Product Leader with 19+ years in enterprise technology and 9+ years in product leadership. Built AI-enabled platforms at Maersk, scaled growth and monetisation at Jio, and delivered cloud products at HPE.
Hi, I’m Kirti.
I lead products where enterprise complexity, customer experience and commercial accountability meet.
At Maersk, I led strategy and execution for AI-enabled CRM, customer experience and workflow platforms spanning Salesforce-integrated products, LLM-enabled automation, AI voice and intelligent routing.
Before that, I led growth and monetization for JioMeet and built usage-based billing products for HPE GreenLake. Across these roles, I have repeatedly moved from business problem to platform strategy, execution and measurable outcome.
I also build working AI-assisted products independently to stay close to users, technology and the practical decisions required to ship.
Impact
Measurable outcomes
Cost savings
AI-first automation, routing and case migration.
Revenue recovered
0→1 Order-to-Cash billing and collections platform.
Cases scaled
LLM-enabled chat and email workflows across global operations.
AI adoption
Scaled adoption through workflow integration and quality measurement.
Revenue uplift
Subscription-led monetization for a $10M portfolio.
Fewer disputes
Transparent, self-service billing in HPE GreenLake.
Dotted-line team members
Outcome-based product cadence and global stakeholder alignment.
AI Projects
Deep dives into key projects
Problem Statement
Senior product candidates spend significant time searching fragmented job sources and manually deciding whether each role fits their skills, seniority, location and work preferences.
User Persona
Senior, Group and Director-level product candidates looking for relevant roles without repeating the same search and comparison work across multiple boards.
Infrastructure Used
Lovable-hosted interface, FastAPI backend on Render, parallel aggregation across JSearch, Arbeitnow and RemoteOK, PyMuPDF resume parsing and RapidFuzz weighted matching.
Skills & Tools
Product framing, journey design, API orchestration, resume parsing, ranking logic, full-stack prototyping, deployment and iterative testing.
Problems It Solves
- Consolidates multiple job sources into one flow.
- Extracts relevant skills from a resume.
- Ranks roles by role, domain, location, experience and work-model fit.
- Filters weak matches so users can focus on stronger opportunities.
Product Approach
A transparent, deterministic scoring system was chosen for the current MVP so users can understand the dimensions behind each match. The product is an AI-assisted build and an intelligent matching engine, not an LLM-based recommender.
Build the smallest complete decision loop first; make the logic explainable before making it more complex.
Problem Statement
Young intermediate players need a safe, structured way to practise badminton fundamentals without depending on expensive coaching, an account or continuous internet access.
User Persona
Young intermediate badminton players, with parents, guardians and coaches as supporting users.
Infrastructure Used
Responsive HTML, CSS and JavaScript, GitHub Pages delivery, device-local progress and a downloadable offline package.
Skills & Tools
Learning-journey design, progressive disclosure, quiz feedback, gamification, offline product design, responsive UX and responsible youth sports content.
Problems It Solves
- Turns an unstructured goal into a five-day progression.
- Combines practical drills with corrective quizzes.
- Makes progress visible through milestones and a growing trophy.
- Works without an account and can run offline.
Product Approach
One small skill per screen keeps cognitive load low. Local progress and an offline package remove connectivity and privacy barriers, while simple milestones reinforce completion.
Good learning products make the next useful action obvious, achievable and rewarding.
Enterprise AI Product Case Studies
AI products built for measurable operations
Product Scope
Customer-facing AI Chatbot, AI Voice Bot and AI Email Resolution workflows embedded in global CRM and service operations.
My Role
Owned product strategy, investment roadmap, value measurement and cross-functional delivery across product, engineering, data science, operations and customer service.
Execution
- Scaled conversational and resolution workflows across customer journeys.
- Defined outcome metrics across SLA, NPS, CSAT, first-time fix, AHT, TAT and adoption.
- Established LLM evaluation and quality guardrails for high-volume enterprise workflows.
Measured Impact
Scaled AI capabilities across 45M customer interactions and increased AI adoption from 6% to 17%.
Enterprise AI becomes valuable when adoption, operational control and customer outcomes are designed as one system.
Product Scope
AI Translation for global service centres, including MENA customer queries, to remove language friction from case handling.
Execution
- Scaled the workflow across 5,000 agents.
- Connected translation to daily service operations rather than treating it as a standalone tool.
- Measured value through case volume, agent adoption and capacity released.
Measured Impact
Translated 8M cases, enabled 5,000 agents and created $12M in FTE capacity savings.
Leadership Signal
Converted an operational workflow into a reusable enterprise AI product with clear commercial accountability.
AI scale is only credible when the operating model, adoption path and value measurement scale with it.
Product Scope
AI Classification, Auto-Triage, Email Auto-Resolution and CX/Sales Cross-Sell products for internal service and commercial teams.
Execution
- Automated classification, routing and assignment for faster first-time fix.
- Introduced next-best-action and cross-sell capability in the booking journey.
- Created KPI governance across service quality, adoption and commercial performance.
Measured Impact
Improved add-on attach rate from 9% to 39% over 20 months while creating a repeatable operating model for AI-enabled workflows.
Leadership Signal
Connected customer experience, operational efficiency and commercial growth in one product portfolio.
The strongest AI products do not automate a step; they improve the economics and quality of the entire workflow.
Platform & Commercial Case Studies
Where product ownership compounds
Context
Billing and collections workflows lacked end-to-end transparency, leaving customers and service teams with fragmented views of invoice status and outstanding balances.
My Role
Led the product from business case through roadmap, prioritisation and delivery, aligning commercial, finance, service, data and engineering stakeholders.
Challenge
Create one Salesforce-integrated workflow that could connect post-order billing, invoice visibility and collections without disrupting critical revenue operations.
Approach
- Mapped the end-to-end customer and agent workflow.
- Prioritised invoice transparency and actionable collections steps.
- Sequenced delivery around revenue risk and operational readiness.
- Connected the platform to the broader CRM experience.
Result
Built the platform from 0→1 and enabled recovery of $35M+ in outstanding customer revenue.
Key Learning
In enterprise transformation, the highest-leverage product boundary often follows the money flow rather than the organisational chart.
Own the full outcome, not only the interface where the problem becomes visible.
Context
JioMeet was expanding across consumer and enterprise segments and needed a product model that could translate platform adoption into repeatable commercial value.
My Role
As Group Product Manager, owned 0→1 strategy, growth, go-to-market and monetisation while leading three dotted-line product/team members.
Challenge
Balance frictionless acquisition with differentiated enterprise packaging, activation and support efficiency.
Approach
- Designed subscription-led monetization and commercial packaging.
- Used segmentation and freemium conversion to expand pipeline.
- Improved onboarding and early activation through product analytics.
- Introduced self-service workflows for high-friction journeys.
Result
Delivered 15% revenue uplift, grew adoption 30%, expanded enterprise pipeline 25% and reduced support demand 8%.
Key Learning
Growth and monetization reinforce each other when packaging is designed around differentiated user value rather than feature volume.
Scale comes from aligning the user’s first value moment with the business model that can sustain it.
Context
Pay-as-you-go cloud services depended on converting infrastructure usage into accurate financial transactions and transparent customer invoices.
My Role
Owned 0→1 product strategy and delivery for the usage-based monetization engine, financial integrations and live billing experience.
Challenge
Join technical telemetry, pricing logic, SAP ERP workflows and customer-facing transparency into one dependable product system.
Approach
- Defined the telemetry pipeline for compute and storage usage.
- Shaped rating, pricing and recurring revenue calculations.
- Integrated financial workflows with SAP ERP.
- Launched live usage, spend forecasting and invoice visibility in GreenLake Central.
Result
Increased platform adoption 15% and reduced invoice dispute queries 37% through transparent, self-service billing.
Key Learning
Billing is not back-office plumbing; in a consumption product, it is a core customer experience.
When customers can see and understand value consumption, trust becomes a product capability.
Recognition
Signals of trust
Spot Award
Recognised for delivering world-class customer experience and driving revenue growth.
Best Customer Centricity
Recognition for keeping customer problems and outcomes at the centre of delivery.
Engagement Champion
Recognition for strengthening collaboration, participation and shared ownership.
Experience
Career journey
Apr 2023 - Feb 2026
Senior Product Manager - AI/ML
A.P. Moller - Maersk
Enterprise AI CRM/CX, Order-to-Cash and workflow automation.
Feb 2022 - Mar 2023
Group Product Manager
Jio Platforms Limited
JioMeet growth, monetization and enterprise product strategy.
Dec 2019 - Jan 2022
Senior Product Manager
Hewlett Packard Enterprise
HPE GreenLake usage-based billing and monetization.
May 2017 - Nov 2019
Product Manager
Hewlett Packard Enterprise
Cloud billing platform and technical product delivery.
Sep 2014 - Apr 2017
Software Program Manager
Hewlett Packard Enterprise
Compute engineering programmes and cross-functional delivery.
Dec 2011 - Aug 2014
Project Manager
Hewlett Packard Enterprise
Data centre and Salesforce Service Cloud initiatives.
May 2007 - Nov 2011
Salesforce Business Analyst
Hewlett Packard Enterprise
Server, storage and enterprise infrastructure implementation.
Skills
Core expertise
Enterprise AI Products
LLM-enabled workflows, AI voice, intelligent routing, translation and operational adoption.
LLM ProductsAI AdoptionWorkflow AI
0→1 Product Development
Business case, discovery, product strategy, roadmap, launch and scale.
MVP StrategyProduct DiscoveryScaling
Platform & B2B SaaS
Enterprise platforms, multi-team dependencies and reusable workflow capabilities.
PlatformsB2B SaaSAPIs
Commercial Product Strategy
P&L business cases, pricing, packaging, monetization and portfolio economics.
P&LPricingGTM
Product Growth
Activation, conversion, adoption, self-service and experimentation.
FunnelsPLGExperimentation
AI Quality & Evaluation
Product metrics for autonomy, precision, task completion, safety and correctness.
LLM-as-a-JudgeEvalsQuality
Product Leadership
Executive alignment, outcome-based roadmaps, OKRs and PM mentorship.
OKRsStakeholdersMentoring
Hands-on Prototyping
Working prototypes, API orchestration and pragmatic end-to-end product building.
FastAPIn8nGitHub
Education & Learning
Building depth continuously
Bachelor of Engineering
Electrical and Electronics Engineering · University of Rajasthan
AI Product Leadership
AI First - Product Leader · AI for Product Management
Applied AI Systems
AI Evaluations for Product Leaders and AI PMs · Building Agentic AI Systems
Emerging Interfaces
Introduction to Augmented Reality & ARCore
Get in Touch
Let’s connect
Open to senior product leadership opportunities and conversations about enterprise AI, platforms and workflow transformation.
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GitHubExplore working productsView projects ↗
LocationBengaluru, IndiaOpen to relocation