Steve Sanderson

The capability to deliver better products is rarely just inside the product org.

It's spread across the company - and lost in the boundaries between functions. I coach revenue-stage software CEOs and their leaders to put that capability to work - getting more of the organization doing the jobs that make products better, and proving it runs end to end through the company.

The potential in the Product Operating Model is an entire company that delivers better products - not just a better product team. I've been across the full product lifecycle, and in every seat from individual contributor to CEO - I know and love the whole territory.

Who this is for

I work with revenue-stage software companies raising their capability to deliver better products - getting started, carrying it through, or sharpening what's already running. It tends to look like one of these:

What I bring

My work runs across a company in both directions: east-west, the whole product lifecycle - product management, design, and engineering; and north-south, from the people doing the work up to the executive team setting direction.

I've been a CEO, three times. I've led product management as a CPO, led engineering as a CTO and VP of Product Development, and led all three together - product, design, and engineering - as a CPO and CPTO. And I've been a software engineer and a product manager. So wherever the work is stuck - between functions or between levels - I've stood on both sides of it.

I've also worked both ends of the same arc: helping early companies find product-market fit the lean-startup way - that work shows up in Eric Ries's The Lean Startup and Ash Maurya's Running Lean - and leading the move to the Product Operating Model once a company has outgrown how it first found fit.

How I help

The work is coaching - the CEO, the leadership team, and product leadership across product management, design, and engineering. It runs on two fronts: changing how those functions work, and holding that change together across the seams with the rest of the company. Every engagement is scoped to where the company actually is.

It usually takes one of these shapes:

How I work

I start by understanding, not prescribing - I'd rather learn what's actually going on than walk in with the answer. The hard "what to change" decisions get located in evidence and discovery - not in opinion or edict - and I keep the work pointed back at the people the company is serving, connecting the business model, the operating model, and the product through their unmet needs.

And I widen who does the work that makes products better. Inside the product org, I get people reaching past their titles - an engineer in a customer conversation, a designer or PM building a working prototype. Outside it, I bring in the people already doing that work without the title - a customer success lead spotting and testing real demand. AI tools are making both easier, fast.

When something's stuck, I look for the broken mechanism - what would have to be true for this to work - before reaching for "do more." And I read the human system as closely as the org chart - what's really happening between people, on a leadership team, inside a team, at the seams - not just what's on the whiteboard. That's usually what makes the operating model work in practice rather than on paper.

Then I push to prove it end to end before optimizing anything - one real product, one real customer outcome, all the way through, before tuning the parts. Getting a single instance to work end to end is the hard part; once it exists, making it better is the easier part. I move from the whole down to the detail and back up, continuously, so the parts stay connected to the outcome.

A few places I've done it

Rackspace

2013 to 2016

A publicly traded hosting incumbent pushing into cloud, with a product organization that needed to change how it found and pursued opportunities. I was brought in to apply lean-startup methods across multiple teams - building real discovery into how they worked, drawing on signal from the company's own customer-facing staff and from current, prospective, and adjacent customers alike. I coached teams to operate as a blend of product management, design, and engineering, and brought marketing into the discovery work alongside them. Several teams put that discovery into practice and found new growth - and the same evidence stopped more than one new product or new direction before it was built. The executive team took up the approach too, carrying it into the CEO's weekly leadership meeting.

Double Line

2016 to 2019

A public-sector data-services firm, stalled after a rocky spin-out from its nonprofit parent and boxed in by the one thing it was known for. I came in as CEO, led the cultural and operational recovery, and put the company on a product operating model I adapted for a services business - using it across our service delivery, our client relationships, and the guidance we gave clients, all aligned to the people those clients ultimately serve. Bookings more than doubled over two years, and the same product-discovery work tested several new product ideas, rejected some, and surfaced one - EdSight - that spun out as its own company.

Rhithm

2021 to 2023

A founder-led K-12 student-wellbeing startup, freshly funded and scaling past what founder-run product and engineering could carry. I came in as CPTO - running product and engineering together - and installed the product operating model: empowered teams, real discovery, and product decisions moved into the product org. Rhithm was acquired by Securly during my tenure - by then used by some 1.2 million students across 27 states - and I stayed on through the integration.

Insights

How Founders Move Past Their Carrying Limit

May 28, 2026

The tangle here is in post-PMF software companies (post-fit through Series B, or service companies) where the founders are the right people, …

The Incumbent's Unexpected Unfair Advantage

May 28, 2026

The tangle here is in revenue-stage incumbents under exogenous pressure (platform shift, regulatory regime change, customer-expectations …

What if the disadvantages of being an incumbent have quietly inverted into an unfair advantage - and the questions are whether the company you scaled can recognize it and can hold a problem that doesn't fit any seat at the table?

May 14, 2026

For the first time, the disadvantages of being an incumbent appear to be inverting into an unfair advantage. GenAI is collapsing the cost to …

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Let's talk

If that's where you are, I'm easy to find. A conversation is worth thirty minutes - a peer conversation about what you're navigating and whether there's a fit. Not a pitch, not a discovery process, no intake form - and no interest in selling you more help than you need.