Leia Marshall

CCP · SPHR · MA
Operations & Compensation
San Francisco, CA

The surface is rarely where the answers are.

The context

Have you ever worked so hard for so long only to end up right back where you started?

Most of us have.

Why can't we close these candidates?

Why is everything getting so expensive?

Why do I have to tell everyone what to do?

Why do people keep leaving?

Familiar?

Everyone is smart. Everyone is working hard. Everyone is solving what's in front of them.

All that raw effort and no real traction.

Background #

After a decade of experience working in high-growth technology companies, I've become obsessed with throughput and velocity.

Output, not playbooks.

A change in job architecture that unblocks hiring.

A different talent profile that prevents new management layers.

A single conversation that restores trust after a period of uncertainty.

One small change that unlocks outsized results.

Throughput and velocity

When there's friction, my instinct isn't to ask: What should we change?

It's to ask: What's the root cause?

You don't need to untangle the entire knot. You just need to find the one thread worth pulling.

A better question can save endless hours of rework.

On decision-making

The untangling often follows a pattern.

What matters now?

What can wait?

What is a symptom?

And, what is the actual constraint?

The answers are usually just one level deeper. Not ten. One.

Some patterns I've noticed #

AI engineering offers declined

We thoughtRecruiting process
We foundJob architecture
ResultOffer declines disappeared

Hiring became unaffordable

We thoughtMarket rates
We foundGrade inflation
ResultHiring capacity restored

Engineers needed constant direction

We thoughtMore support
We foundTalent density
ResultGreater ownership

New hires kept leaving

We thoughtEngagement
We foundA $0.25/hour misalignment
ResultChurn dropped dramatically

Compensation as a tool #

Compensation shows up in surprising places.

Pay tends to be the single thread that connects concerns about hiring, performance, retention, and growth.

It's less about data (though I do love a good spreadsheet), and more about behaviors and motivations.

AI and what comes next

AI is changing everything we know about rewards.

Jobs are changing.

Incentives are changing.

The relationship between effort and output is changing.

Increasingly, time feels more constrained than capital.

A simple belief

Sometimes the effort isn't the problem.

Effort is usually abundant.

A reasonable assumption.

A slightly wrong model.

A small correction.

A much better outcome.

Sometimes they just need a little clarity.

People who've shaped how I think

Patty McCord

Talent density, honesty, and treating people like adults.

Laszlo Bock

Evidence, experimentation, and measuring outcomes over pure activity.

Cal Newport

Sustained attention over constant activity.

NeuroLeadership
Institute

How our brains actually experience uncertainty.

Just a few big thinkers whose work I keep coming back to.

I work with founders and operators who want to move faster by understanding what's actually slowing them down.

A small number of engagements each year.