Become the finance partner product teams can’t ship without.
Coaching and hands-on training for Product Finance, Cloud & AI Finance, and FP&A roles — from unit economics and capacity planning to the final-round case interview.
AI assistant: unit economics per 1M tokens
Three paths in. One standard of work.
Wherever you’re starting from, you’ll leave able to model a product, explain its economics and hold your own with engineering and product leads.
Breaking into Product Finance
From accounting, banking, consulting or corporate FP&A into a role that sits beside product teams.
Typical targets: Product Finance Analyst, Sr. Financial Analyst
Moving into Cloud & AI Finance
Learn the economics most training skips: usage-based revenue, capacity, GPU and inference cost, security and AI go-to-market.
Typical targets: Cloud Finance, AI Infrastructure Finance, FinOps
Leveling up in FP&A
For analysts and managers ready for senior scope: driver-based planning, strategic partnering and leading reviews.
Typical targets: Finance Manager, Sr. Manager, Director
What hiring managers actually test for.
Six modules, each ending in a case you model, present and defend — the same way you will on the job.
Cloud usage & revenue modeling
Consumption revenue, usage drivers, commitment burn-down and cohort-based forecasts.
Forecasting, variance & scenarios
Annual plans, quarterly forecasts, month-end close, variance bridges and bull/base/bear scenarios.
Capacity & CapEx planning
Region and data center builds, server and GPU supply vs. demand, utilization and CapEx returns.
Deal & discount economics
Private pricing agreements, commit-based discounts, deal P&Ls and margin guardrails.
Unit economics & launches
Cost to serve, gross margin by service, and business cases for new features, regions and products.
Partnering & interview readiness
Business reviews, written narratives, SQL-backed analysis, case studies and modeling tests.
Go deep on the business you want to support.
Pick one alongside the core modules. Each comes with its own case exercise.
GenAI & AI infrastructure
AI go-to-market solutions
Cybersecurity
Core cloud infrastructure
Choose how you want to train.
Not sure which fits? Book a free consult and we’ll recommend one — or tell you honestly if you don’t need us.
Interview Sprint
For candidates with interviews already on the calendar.
- Mock case interview with written feedback
- Timed modeling test & walkthrough
- Behavioral story review
- Resume & LinkedIn teardown
Product Finance Cohort
The complete curriculum, taught live with a small group.
- All six modules, taught in weekly live sessions
- Real case exercises & model templates
- Graded capstone presentation
- Interview prep & alumni community
1:1 Coaching
Personal guidance for career moves and ramping in a new role.
- A plan built around your target role
- Career transition strategy
- First-90-days support in a new job
- Async feedback on your models & decks
From first call to first day.
Free consult
A short call on where you are and the role you want.
Your plan
We map the skill gaps and the program that closes them.
Train on real cases
Build models, present them and get direct feedback.
Land & ramp
Interview with confidence, then hit the ground running.
Austine Archibong
Founder & Lead CoachI’m a Finance Manager for AWS Object Storage, where I forecast new features, regions and products, plan capacity, and support cloud deals and private pricing. Nearly a decade across accounting, audit, FP&A, strategic planning and analytics has taken me from engineering school in Nigeria to banking and audit in Lagos, an MBA in St. Louis, and now Seattle. Each stop taught me to see a business a little differently.
“The habit I teach: check whether the numbers actually back up the story.”
In their words.
“[Paste a real student quote here — ideally one that names the role they landed.]”
“[Paste a real student quote here — what changed in how they work or interview.]”
“[Paste a real student quote here — a concrete result, like an offer or promotion.]”
Notes from the finance side of product.
Cloud COGS, explained for finance people
What actually sits in cost of revenue for a cloud product, and the questions to ask engineering.
Pricing an AI product when inference costs keep falling
How to set prices that hold up as your cost curve moves underneath you.
The Product Finance case interview, walked through
A worked example of the structure interviewers are listening for.
What’s the difference between Product Finance and FP&A?
FP&A typically owns company-wide planning, budgeting and reporting. Product Finance sits closer to specific products — pricing, unit economics, investment cases and roadmap trade-offs — and partners daily with product and engineering leaders.
Why focus on Cloud & AI finance?
They’re fast-growing areas with economics most finance training skips: usage-based revenue, capacity and CapEx, GPU and inference costs, private pricing deals, and new AI and security products.
Do I need a finance background?
[Who the programs are built for, and what you recommend for someone coming from product, engineering or another field.]
Is it live or self-paced?
Both. Lessons and model templates are self-paced, so you can fit them around work. Live sessions are where you present cases and get feedback. Coaching comes two ways: in small groups as part of the cohort, or 1:1 when you want a plan built around your own goals.
What if it’s not the right fit?
[Your refund or guarantee policy.]
Your next role starts with one conversation.
Tell us where you are and where you want to be. We’ll give you an honest read on the gap — and the fastest way to close it.