Strategy & Transformation Advisor (Growth & Monetization specialization)

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Stripe's Strategy & Transformation practice (within Professional Services) works with our most strategic users. The team serves as a transformation & growth partner to our most strategic and frontier users - helping them achieve complex business goals and enabling greater certainty in their outcomes when they invest with Stripe.

This role will establish and lead a new sub-practice within Strategy & Transformation: Growth & Monetization Advisory . As Stripe's users grow in scale and ambition - launching new revenue channels, embedding payments & finance into platforms, pricing AI-powered products, and expanding into new geographies - they need a trusted, opinionated advisor in their corner to advice them with prescriptive point of view on revenue acceleration, GTM, pricing & monetization strategy. This role & practice will span both traditional fiat rails and the emerging crypto and stablecoin infrastructure across Stripe, Bridge, Privy, and Tempo - positioning it as one of the most forward-looking advisory capabilities in financial services today. You will run workshops for c-suite & senior management around this capabilities and support the team globally on including this workstream in their respective enterprise transformation workshop

The opportunity

Stripe works with the world's most ambitious platforms, marketplaces, and enterprises building the next generation of financial products - and the scale of what they're building creates an extraordinary opportunity to go deeper. As these users expand into new markets, launch AI-powered products, and layer embedded finance onto their core offering, the topics that unlock their next phase of growth become increasingly strategic: design a monetization strategy that captures full value, price competitively across geographies without eroding margin, structure go-to-market motions and sales enablement for white-labelled financial products, and translate Stripe's capabilities into durable revenue streams for their business.

This role exists to meet that moment - bringing a more prescriptive, hands-on advisory approach to the users where commercial model design is the primary lever for growth, and ensuring that Stripe's most strategic relationships are supported not just with best-in-class infrastructure, but with the monetization and revenue strategy expertise to make the most of it.

What you'll do

As a strategy & transformation advisor for growth & monetization, you will own and build Growth & Monetization sub-practice end-to-end. You will be the globally recognised expert in this space working directly with and advising some of Stripe’s strategic users and in process enabling your teammates to do the same. Your work will sit at the intersection of commercial strategy, product economics, and payments infrastructure - and will span five core advisory domains:

1. New Revenue Channel Growth & Discovery

Work with platforms, marketplaces, and enterprise users at the earliest stages of their thinking to identify, validate, and prioritise new revenue channels. This includes embedded finance, monetisation of distribution, bundled value-added services, and adjacency expansion. You will bring structure, data, and commercial rigour to decisions that are often made on instinct.

2. AI Product Pricing Strategy

SaaS companies are racing to launch AI-powered features and products - and most are flying blind on pricing. You will develop a repeatable advisory model that helps users design pricing architectures for AI products: usage-based vs. seat-based vs. outcome-based models, packaging strategy, willingness-to-pay research, and competitive positioning. This is a fast-moving space and an area where St

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