Chief Product Officer (Orlaya). Former Head of Product at PayPal. Fintech, payments, and platform product executive.
I am not a payments executive who later learned technology. I started as an engineer and chose to lead. That sequence still shapes how I make product decisions, evaluate architecture, and manage risk. This is the operating record behind it.
I started in engineering, building production systems before I ever owned a roadmap. At IBM, I helped architect and launch a global web services platform supporting enterprise CRM and telecom workloads. At Equinix, I led the build and launch of the Equinix Cloud Exchange Fabric, a software-defined networking platform deployed across 21 markets that cut enterprise provisioning from 48 hours to under 15 minutes.
That foundation still shapes how I evaluate product today: what is actually buildable, where architecture will fail at scale, and where hidden technical debt will surface later as a customer or operational problem.
Most product executives have never written production code. Most engineers have never owned a P&L. I have done both.
Within five years of moving into product, I was leading product at PayPal inside one of the most operationally complex payment ecosystems in the world. Over nearly eight years, I worked across checkout, embedded finance, working capital, tokenization, fraud and risk, compliance, and AI-driven decisioning across 15-plus countries.
I was selected for PayPal's Technology Leadership Program and received the Key Talent Award. Across that period, the results included $200M+ in net-new revenue, 750,000 net-new customers through AI-driven checkout optimization, and a $50M+ embedded payments opportunity built with a Fortune 50 partner alongside Visa, Mastercard, and Meta.
"When I proposed PayPal's first public-facing incident communication platform, the instinct internally was to resist. Public transparency felt risky. I believed the bigger risk was leaving merchants in the dark while outages were already affecting them. I made the case directly to the CTO and COO that transparency was a product decision, not a PR concession. They approved it. We built it. The platform served more than one million users and delivered over $10M in annual operational savings. That story captures how I operate: challenge default assumptions, push for the customer when internal incentives drift away from them, and treat trust as a growth lever."
I started putting machine learning models into production in 2017 inside a global payments company operating under card network rules, banking oversight, and strict financial controls.
That teaches you quickly that the model is rarely the real bottleneck. Governance is. Evaluation criteria, audit trails, human review, policy controls, and organizational trust determine whether AI reaches production or dies in committee.
At PayPal, I reduced AI review cycles from eight weeks to two weeks and helped thirteen models reach production across three business units in five months.
"The model is almost never the limiting factor. The organizational infrastructure is."
In 2022, I founded Orlaya to bring technical depth, product leadership, and executive operating discipline into fintechs and enterprise companies that need CPO-level execution without waiting on a full executive search. Recent outcomes include:
in incremental revenue for a Fortune 500 enterprise through API infrastructure and platform modernization
reduction in merchant time-to-first-transaction through redesigned KYC and risk decisioning
in annualized revenue leakage identified and closed for a high-volume payment processor
OPEX reduction across an 80-person product and engineering organization
Selected outcomes across embedded payments, checkout optimization, and platform modernization where compliance constraints were non-negotiable.
A Fortune 50 enterprise needed to process payments inside its own product without sending users to an external checkout. The infrastructure did not exist.
Built and launched an embedded payments platform through Fortune 50 co-development, unlocking a $50M+ revenue opportunity and proving PayPal could operate as infrastructure, not just a consumer brand.
Conversion gaps at scale are usually not design problems. They are measurement problems hiding inside the funnel.
Instrumented the end-to-end checkout and activation flow, identified the real failure points, and drove a cross-functional response that delivered 750,000 net-new customers through AI-driven optimization.
When latency runs well above threshold, every downstream merchant interaction absorbs the cost. Teams closest to the problem often stop seeing the root cause.
Overhauled critical platform infrastructure, reduced incidents, cut average latency by more than 30%, improved merchant trust, and generated $10M+ in annual OPEX savings.
How I create alignment, restore execution velocity, and ship predictably in fintech and enterprise environments.
Customer truth, unit economics, and architectural reality anchor every decision. If a plan cannot survive legal, risk, and ops review, it is not a strategy yet. At PayPal, I built a recurring merchant VOC cadence across 1M+ merchants that shaped products generating $200M in net-new revenue.
Vision without viability
Product does not hand off to risk, legal, or engineering. I define a shared language for what safe to ship means and force alignment early. This model reduced AI review cycles from 8 weeks to 2 weeks at PayPal.
Handoff without ownership
Metrics are defined early and the funnel is instrumented before the build starts. Narrative follows evidence. That discipline helped drive 750K+ net-new customers through checkout improvements.
Slides over data
Modernization is not a multi-year excuse. It has to show up in velocity, reliability, and reduced risk. At PayPal, API modernization cut average latency by more than 30% and delivered $10M+ in annual OPEX savings.
Multi-year rewrites without milestones
AI matters when it improves outcomes under real controls: monitoring, escalation paths, auditability, and measurable impact. Otherwise it is noise. I validate agentic workflows against compliance and operating reality before a line of code is written.
Deploying LLMs for PR
The governance system I use to turn product strategy into shipped outcomes without the usual organizational drift.
A small number of high-conviction bets, clearly sequenced. No hidden work.
A small number of high-conviction bets, clearly sequenced. No hidden work.
Clear owners, visible decision logs, and shared launch criteria. No ambiguity.
Weekly execution reviews, monthly strategy stress-tests, and quarterly portfolio resets.
Role clarity, high standards, fast feedback loops, and real accountability.
Concise tradeoffs and clear choices for leadership teams and boards, not bloated decks.
CPO / Strategic Advisor
Partnering with Fortune 500 enterprises and scaling fintechs to close the gap between product strategy, architecture, and execution.
Built evaluation criteria, human review checkpoints, and escalation paths for agentic AI while tightening product systems for scale.
Global Product Leadership (~8 Years)
Led product strategy across checkout, BNPL, embedded payments, and working capital spanning 15-plus countries. Generated $200M+ in net-new revenue.
Architected a $50M+ embedded payments platform with Meta, Visa, and Mastercard by aligning product, engineering, and risk around clear launch criteria.
Enterprise Platforms
Led SaaS and API platform builds that improved enterprise customer experience, infrastructure reliability, and developer adoption at scale.
Shipped modern platform capabilities that reduced operational friction and simplified complex integrations across global environments.
Perspectives from product, engineering, and executive leaders across PayPal, Equinix, ADP, and venture-backed startups.
“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 top-notch business acumen is well-balanced by his innate ability to connect with teammates and leadership at a personal level.”
“Most product executives operate well at strategy or at execution. Gagan does both, simultaneously. 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 genuinely rare in regulated fintech.”
“Gagan possesses a rare blend of business acumen and technology skills that few people in his field can match. He was brought in for one of our most critical technology initiatives at ADP and more than exceeded every expectation. The project he engineered delivered millions of dollars in savings and improved client satisfaction scores by 12 percentage points year over year.”
“Gagan led the build of Equinix Cloud Exchange from the ground up. The mandate was 19 markets simultaneously, a small team, and a timeline most engineering leaders would have pushed back on. He did not push back. He built the architecture, led the cloud provider integrations, scaled the team as needed, and shipped on time. Cloud Exchange went on to reposition Equinix from a data center operator to a global interconnection platform.”
I partner with CEOs, boards, and founders to solve execution bottlenecks. The best fit is a scaling fintech, embedded finance platform, or enterprise technology company where infrastructure, AI governance, or platform scale sits at the center of growth.
Scaling complex platforms without stalling feature velocity
Rebuilding trust and alignment across product, engineering, risk, legal, and sales
Modernizing critical infrastructure without triggering multi-year paralysis
Deploying AI only where controls and measurement exist from day one
If you are building or investing in payments infrastructure, complex platforms, or enterprise AI, I am available to explore the right engagement.
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