Written from the boardroom, not the keyboard.
By Falk Gottlob. CPO at Commure (the $6.5B exit), Crisis Text Line, SOCi, and Smartcat. Former SVP at Salesforce through the Slack acquisition. Founder of MVC (acquired by Microsoft 2009) and now Falkster.AI in stealth.
Every chapter, essay, and field report on this site lives inside one of these four. If your next twelve months are about navigating an AI-era business model shift, start here.
“Per-seat revenue does not gradually migrate to outcome pricing. It splits into two business systems that fight each other inside the same org chart.”
Your SaaS isn't broken. It's being replaced. Here's how to own the transition instead of fighting it.
Read the essay→“Force the agent product onto the legacy cadence and three things happen. None of them are good.”
You don't transform legacy. You run it while you transform. Two clocks, one product org.
Read the essay→“Most public writing on AI-era pricing stops at 'outcome-based is the future.' That's table-setting, not a playbook.”
Per-seat pricing is dying, but it pays your payroll. The 18-month quarterly playbook for moving without crashing the plane.
Read the essay→“Switching costs didn't disappear. They moved. They used to live in the database and now they live in the decision record.”
AI replaces the UI, so the seat priced against the UI goes with it. What survives is the held record and the governed action. Own the record, rent the model.
Read the essay→The companies that win this inflection are running the seven-decision sequence. The companies that lose are still talking about soft pivots.
14chapters from §6 End-to-End Ownership of the PM Handbook, including the forward deployed engineer. Pillar content for executives running the SaaS-to-Service-as-Software transition. Read the ones you need; ignore the ones you don't.
Feature death is the most under-written topic in PM. Kill on signal, not politics, and your team ships faster than the team that hopes politely.
An incident is a customer telling you the truth about your product, loudly, all at once. Stop letting engineering listen alone.
Cost per successful action is the new primary PM metric. If you don't own it, your CFO will kill your product before your customers do.
Per-seat is dead for AI. Price the work the seat is no longer doing: outcomes, usage, value units.
What a week looks like when you run the full handbook. The week is the rhythm, the loop is same-day, and you run it as often as hot signals land.
The 90-day plan for making the shift from traditional PM to product builder. Done in order. In 90 days, you have a different job.
Most PM hiring loops test skills the role no longer needs. Hire by what they can ship, not by how they talk about shipping.
The 39-agent chapter told you what to deploy. This is the skill you need once they're running: great editing at volume.
Four diagnostic questions, three operating modes (sunset, refresh, split), the political map, and the seven-decision sequence for the AI inflection.
Six quarters, four mandatory CFO/CRO/Board/Lead-customer conversations, the gross-margin recovery curve, and the contract terms that defend outcome billing.
How to end-of-life a revenue line: announcement timing, three-wave customer migration, comp plan rewrite, dispute mechanism at scale, post-sunset reorg.
Palantir invented the FDE because software shipped without its engineer does not get adopted. It is the Product Builder, from the services side.
Forward deployment costs like services and has to earn like software. The math works only if the loop closes and the pricing puts revenue behind the result.
FDEs who report to sales become sales engineers within two quarters. Reporting line, hiring bar, pairing, and comp decide whether the team lasts a year.
First-person after-action reports from product orgs running the transition. Anonymized. Specific. Honest about the parts that don't show up in strategy decks.
Migration drift, an unexpected churning cohort, a unit definition that broke at scale, dispute volume at 12x projection. After-action from the sunset day.
What we believed, what we did, what broke, what we changed. An anonymized after-action report from the first 90 days of a $30M ARR cannibalization.
The arguments where the consensus is wrong, and the receipts for why. Read these if you want to know what I will not say on a Lenny podcast.
OpenAI raised $4 billion for a deployment company. Anthropic launched a $1.5 billion one. The role they hire for is the Product Builder, from the services side.
Cagan maps Benedict Evans's three product skills onto his risk framework. The skills are right. Their AI exposure is wildly different, and that is the story.
Miro sold at 2.3x ARR while profitable with $435M in net cash. Compression explains the range, not the position. The mechanism is legibility.
Fidelity used to be a proxy for conviction in design review. AI broke that proxy, so the work that looks most finished now gets the shallowest critique.
Outcome-driven roadmaps assume 6-12 month measurement cycles. Agents iterate ten times a week. The dual-cadence direction-metric system that closes the gap.
Teresa Torres' continuous discovery is the right answer for human-centric SaaS and the wrong answer for agent products. The punctuated discovery alternative.
Inference costs drop 50% per year. Your $0.50/resolution price is a moving target. Hold or pass? The framework nobody has published until now.
Forrester still talks about human-with-agent teams. Wrong unit. Agents form their own departments and interface with human departments on exception.
Every CPO running a 'gradual transition' to AI ends up running two companies inside one org chart. The five patterns and how to escape them.
Board-level advisory, executive coaching for CPOs and product leaders, and CPO roundtables for SaaS scaleups navigating the AI inflection. Selective. Limited slots.
