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Gagan  Maheshwari
Executive engagements

Product leadership for complex environments

For companies dealing with stalled execution, platform drag, cross-functional misalignment, or pressure to modernize without breaking the business.

I work with a select number of organizations where product is expected to be a strategic function. The best fit is a company navigating payments, embedded finance, platform modernization, or enterprise AI in an environment where risk, compliance, and operational complexity are real constraints.

How I work with companies

Engagement models

The right structure depends on the problem. Some companies need a long-term product leader. Others need an interim reset, sharper strategic judgment, or a clearer read on a high-stakes decision.

Full-time product leadership

For companies that need a long-term product leader with technical depth, commercial judgment, and the ability to align product, engineering, risk, and business teams around a real operating model.

Interim CPO or Head of Product

For transition periods, execution drift, or organizational resets where the immediate need is clearer priorities, stronger operating discipline, and faster decision-making.

Discuss an interim engagement

Strategic product and platform advisory

For founders, CEOs, and boards working through platform strategy, product portfolio choices, AI governance, modernization sequencing, or execution bottlenecks.

Explore advisory support

Product and technical due diligence

For investors and operating partners who need a sharper read on product maturity, architecture risk, team capability, and integration readiness.

Request a diligence review
When to bring me in

The situations where I add the most leverage

Situation 01

The roadmap is moving, but the business is not

Teams are shipping, but the work is not clearly improving growth, margin, reliability, or customer trust.

Situation 02

Modernization work is dragging on without visible payoff

Critical platform work has become a multi-quarter sink for engineering time without a clear link to business value.

Situation 03

Risk, legal, and engineering are slowing each other down

The organization has smart people, but no shared definition of what safe to ship means, so decisions keep getting pushed late.

Situation 04

AI pressure is rising faster than execution maturity

Leadership wants AI progress, but the business does not yet have the governance, workflow design, or operating discipline to deploy it responsibly.

Sound familiar?

The earlier we align on the problem, the faster we can move to execution.

Discuss your situation
Product operating model

Product operating model and execution cadence

The governance system I use to turn product strategy into shipped outcomes without the usual organizational drift.

Portfolio clarity
Governance
Cadence
Talent density
Executive narrative
01

Portfolio clarity

A small number of high-conviction bets, clearly sequenced. No hidden work.

Portfolio clarity

A small number of high-conviction bets, clearly sequenced. No hidden work.

Governance

Clear owners, visible decision logs, and shared launch criteria.

Cadence

Weekly execution reviews, monthly strategy stress-tests, and quarterly portfolio resets.

Talent density

Role clarity, high standards, fast feedback loops, and real accountability.

Executive narrative

Concise trade-offs and clear choices for leadership teams and boards, not bloated decks.

Operator references

What it is like to work with me

Perspectives from product, engineering, and executive leaders who have seen the work up close.

AI & Data Science Leadership • PayPal

Most people speak the language of technology or the language of business. Gagan speaks both fluently. He worked side by side with our data scientists and our business leaders, and as a result we were able to apply AI and machine learning to entirely new domains inside PayPal where it had never reached before. That kind of bridge-building is rare at any seniority level.

HW
Hui Wang
Former SVP, Global Data Science and AI/ML, PayPal
Fortune 500 Fintech
Fractional CPO Engagement

We brought Gagan in as a fractional CPO because our product team was shipping, but nothing felt like it was moving the business forward. Within six months, he rebuilt how we thought about the product. We launched a new enterprise onboarding experience that cut our time to first value from weeks to days, and it became the foundation for our first set of multi-seat enterprise contracts. Gagan was not just an advisor on the outside. He was in the details, in the weeds with the team, calling out the assumptions we had stopped questioning. I would bring him back without hesitation.

MB
Mak Bhatamrekar
CEO, Wajooba.ai
B2B SaaS
PayPal

Gagan led the complete end-to-end product management and adoption of multiple AI and machine learning models that were ultimately leveraged by PayPal teams across the globe and even by CEO Dan Schulman, and VPs of Marketing and Credit. His business acumen is well-balanced by his ability to connect with teammates and leadership at a personal level.

GK
Gaurev Kumar
AI/ML Leader, Apple
Formerly PayPal Global Risk and Data Science
PayPal

Most product executives operate well at strategy or at execution. Gagan does both. During our time at PayPal on embedded payments, he could lead a market positioning conversation in the morning and go deep on technical architecture trade-offs in the afternoon. He built the cross-functional trust that let us move quickly through risk, legal, and engineering without the usual friction. That combination is rare in regulated fintech.

JR
Junaid Razzak
Former Vice President, PayPal
Fortune 500 Fintech
ADP

Gagan brings a rare blend of business acumen and technology depth. He was brought in for one of our most critical technology initiatives at ADP and exceeded expectations. The project he engineered delivered millions of dollars in savings and improved client satisfaction scores by 12 percentage points year over year.

KG
Kurtis Greene-Richards
Former Vice President, Business Transformation, ADP
Fortune 500 HCM
Where I am not useful

A few situations that are usually a bad fit

Not every company or mandate is a fit. I do best where there is real authority to shape priorities, sequencing, and cross-functional alignment.

The work is expected to stop at strategy slides

If the goal is just a deck, not operating change, I am not the right partner.

Product has no real decision-making room

If priorities are locked top-down and product leadership cannot shape sequencing or launch decisions, the work will underperform.

AI is being used as theater

If the business wants AI optics without a real operating case behind it, I am not interested.

How the work starts

From first conversation to delivered outcomes

01

Context and alignment

We start with a direct conversation about the business problem, technical friction, organizational dynamics, and the outcomes that matter. If the fit is wrong, I will tell you quickly.

02

Scope and decision frame

If there is alignment, I define the scope, operating cadence, and what success actually looks like in plain terms. No bloated decks. No vague transformation language.

03

Execution and structural improvement

The goal is not to create temporary motion. It is to leave the organization better able to make decisions, move faster, and operate with more discipline after the engagement ends.

Explore an executive engagement

Bring the real problem

If you are dealing with a stalled roadmap, platform friction, organizational misalignment, or AI pressure without a credible execution path, that is the right starting point. We can decide quickly whether I am the right fit.

No commitment required. 30 minutes, plain conversation.