Aug 2, 2026 · 1h 25m
Whatnot CPO warns over-expanded product management teams stifle engineering innovation
This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot)
As tech companies seek efficiency, this discussion challenges the industry standard of product team structures and redefines the role of the modern product manager.
- 1Excessive product management hiring creates artificial coordination layers that reduce engineering autonomy and slow down execution.
- 2The modern product role is shifting away from alignment theater and toward hands-on systems thinking and individual contribution.
- 3Effective leadership requires playing the accordion by balancing rapid local experimentation with big-picture strategic planning.
Don't miss
Tom Verrilli explains his accordion mental model for balancing rapid local experimentation with long-term strategic planning.
The brief
Whatnot Chief Product Officer Tom Verrilli argues that the tech industry has over-expanded the product management function, creating a bloated layer of coordination that can ultimately infantilize engineers and designers.
Instead of building massive management hierarchies, Verrilli advocates for keeping product teams lean, prioritizing senior individual contributors over people managers, and rotating generalist product managers to keep their skills sharp.
Drawing on his leadership experience at Twitch and Twitter, Verrilli outlines how modern tools like AI-driven data platforms are shifting the role away from performative alignment theater and back toward deep systems thinking.
He introduces his accordion mental model, explaining how successful product leaders must constantly squeeze down to manage rapid, local experimentation while stretching back out to guide long-term strategic planning.
What was said on this episode
54 statements · 30 positive · 11 negative · 1 mixed · 12 neutral
Excessive PM hiring undermines engineers’ and designers’ decision-making abilities
“Hiring so many PMs infantilizes the engineers and the designers”
Listen at 0:08
Companies should hire PMs only where a specific need exists
“You hire one where there's really specific need.”
Listen at 0:33
Removing product decisions from engineers and designers weakens their decision-making skills
“the more you abstract your engineers and your designers from doing the same thing, their muscle gets underdeveloped.”
Listen at 0:50
Engineers and designers can make strong product decisions with sufficient user context
“engineering and design had the context that they needed to just make great decisions”
Listen at 4:31
Teams should avoid assigning PMs where design and engineering can make product decisions
“wherever possible, it's kind of optimal to not have a product manager”
Listen at 5:29
Tech companies commonly scale through fixed engineer-to-staff ratios
“Every time you hire six engineers, you add a designer, you add a pm, you add an EM”
Listen at 6:42
Notifications infrastructure generally does not require a dedicated PM
“you probably don't need APM for notifications infrastructure”
Listen at 6:58
Some engineering or design specialties do not transfer well to product management
“certain skill sets don't necessarily translate super well.”
Listen at 9:26
Whatnot allows any function to propose product changes
“anyone can bring change forward”
Listen at 10:17
Whatnot assigns PMs to problems or projects rather than permanently to teams
“we tend to map them to kind of problems or kind of like core projects.”
Listen at 10:43
AI substantially increases the productivity leverage of individual contributors
“AI certainly means that there's an enormous amount of leverage for an ic.”
Listen at 12:58
AI-enabled tools let PMs retrieve complex data far faster than previously
“You can pull data now on a hex thread. That is basically what it would take a week, two weeks with an Amazon L7 data scientist in 2017.”
Listen at 13:23
One senior PM can outperform three entry-level PMs across multiple responsibilities
“you can have one very senior PM across more things and they can be more efficient than having three relatively entry level PMs.”
Listen at 14:22
Whatnot employs approximately 21–22 product managers
“we've just passed 20pm we have kind of, I think 21, 22PMs in the building today”
Listen at 15:29
Whatnot is reducing preference for candidates focused on alignment and stakeholder management
“It's folks who spend a lot of their time in their interviews talking about those like alignment meetings and driving alignment and stakeholder management and those pieces.”
Listen at 18:04
Strong PM candidates must demonstrate both strategic and detailed thinking
“can we see both the macro thinking and the micro thinking?”
Listen at 18:48
Mental scenario planning enables faster development of local solutions
“you can build quick local solutions if you have done the mental exercise in your head”
Listen at 20:42
Teams should anticipate risks and then proceed with execution
“know, then go”
Listen at 21:16
High-growth companies should prioritize experiments with major business impact over small wins
“you're not really looking for a 5% stat sig win. You're looking for something that kind of like totally moves the business”
Listen at 22:00
Whatnot’s PM managers spend over 90% of their time on individual-contributor work
“All of them would spend 90 plus percent of their time doing IC work.”
Listen at 23:11
One owner across competing product feedback loops reduces organizational conflict
“when you put the same person across multiple feedback things, they tend to organically align those things”
Listen at 25:10
PM individual-contributor work includes customer support, data, specifications, and execution
“all of that is just like core individual IC work.”
Listen at 26:49
Product organizations will split between hands-on and managerial operating models
“there will be a bifurcation across the industry.”
Listen at 27:32
Paying a small number of highly impactful ICs at executive levels may be easier
“I actually think it's easier.”
Listen at 29:02
Hands-on senior leadership can remain effective as organizations scale
“what we found is that's actually not true.”
Listen at 29:59
Teams should pursue fewer priorities and execute them exceptionally well
“we're going to do fewer things, we're going to make sure we execute the hell out of them”
Listen at 30:50
AI substantially amplifies the benefits of hands-on product work
“AI huge leverage for all of this.”
Listen at 31:34
PM leaders should begin individual-contributor work in their current roles
“Start doing IC work in the role you're in would be my push.”
Listen at 32:53
AI tooling helps teams detect product regressions and interaction effects faster
“you can spot regressions and weird knock on effects of two products intermixing more quickly than you used to be able to.”
Listen at 36:29
AI may reduce staffing per output without reducing total data-science employment
“I would be surprised actually if we ended up with like net fewer.”
Listen at 43:39
Hybrid, lightweight engineering-management roles will become more common
“the idea of like engineering manager light, for want of a better term, is the thing that I'm definitely think that we'll see more and more of.”
Listen at 44:31
Product teams will increasingly empower specialists to pursue adjacent customer problems
“there's going to be a lot more free space for people to play on.”
Listen at 45:50
PM organizations recently rewarded theater skills more than core product skills
“those core PM skills aren't necessarily the things that we have rewarded PMs for over the last five years”
Listen at 47:31
Core product-management skills are likely to remain durable as AI advances
“product skills are probably the most durable.”
Listen at 48:04
Whatnot verifies employees’ work before extending full trust
“we tend to live in a verify then trust land”
Listen at 50:17
Leaders need detailed operational understanding to make good strategic decisions
“you can't make good macro decisions without the micro.”
Listen at 53:09
Top-down management works when leaders possess detailed, accurate operational knowledge
“Top down works well if leadership is good enough to be in the weeds and be specifically correct.”
Listen at 55:55
CPOs do not necessarily control all product roadmaps
“the CPO's job, you get to decide all the roadmaps and all those things. And I've got bad news for you that's, like, not strictly true”
Listen at 57:57
When evidence is absent, the CEO’s opinion generally determines the decision
“if nobody's got Data, it's just two opinions, the CEO's opinion is going to win”
Listen at 1:01:07
Effective product management requires both strategic planning and rapid iteration
“the honest answer is you've got to do both. You can't over index on either.”
Listen at 1:04:00
Live commerce without product listings limits search and recommendation targeting
“If I don't know what you're selling until after you've sold it, there's no possible way that I can put somebody in the right stream for EarPods”
Listen at 1:05:54
Agentic commerce will not capture the entire retail market
“I don't think it's a like winner takes all thing.”
Listen at 1:08:50
Live commerce serves a different customer need from agentic commerce
“I think it's a completely different kind of like customer need.”
Listen at 1:09:41
Strong product-market fit can sustain substantial organizational dysfunction
“if you truly find product market fit, like if you manage to bottle lightning, doesn't matter how badly you screw up the organization of it, like, it's huge”
Listen at 1:10:47
Many supposedly complex organizational problems are actually caused by weak leadership
“most of the time you hear it's really complex. It isn't. Leadership's just weak.”
Listen at 1:11:20
Aggregate averages can conceal critical individual use cases
“averages mean nothing to the individual”
Listen at 1:14:12
Overreliance on aggregate metrics can damage businesses dependent on specific product features
“there are real downstream impacts to people's businesses that often come from just a lack of nuance in understanding metrics”
Listen at 1:15:12
Whatnot’s model of fewer, senior, autonomous PMs suits its organization
“this model of fewer PMs who are more senior with a lot more autonomy is right for us.”
Listen at 1:16:11
AI-era product professionals should return to hands-on product work
“there has never been a better time to go back to the roots of the actual product work and getting out of that theater.”
Listen at 1:16:22
Australia should build its 21st-century economy around abundant electricity
“Australia's entire 21st century economy should be power.”
Listen at 1:20:27
Australia’s rooftop-solar requirement has worked effectively
“if you're building a new property, you got to put solar panels on the roof and it turns out it works great.”
Listen at 1:20:40
Sufficient resources can solve almost any problem
“If you're willing to devote the required time, money, effort, energy, you can solve almost anything.”
Listen at 1:21:19
Agentic commerce will be valuable but will not encompass all shopping
“that is why agent E commerce is going to be great but not all encompassing”
Listen at 1:22:21
Whatnot is prioritizing payments and logistics product work
“Payments very high on our list of what we're doing, as well as logistics.”
Listen at 1:24:16
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.