EXECUTIVE TECHNOLOGY ADVISOR

Better technology decisions.

I work with founders, CEOs, and technology leaders when an important decision is in front of them or something in the organization is not working the way it should.

Together, we figure out what is really going on, what matters most, and what to do next.

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Bob Williams

Former CTO & SVP Engineering

Three decadesIn Technology

18+ yrsLeading Engineering

50→300+Team Member Growth

IPO + AcquisitionLed Through Both

Selective work with leadership teams

Common situations

When to bring me in.

Shaping something new

You are developing a new product, venture, platform, or major technology initiative and need to pressure-test the direction before committing significant time or capital.

Execution is becoming harder to trust

The team is busy, but priorities keep shifting, ownership is unclear, or progress is more difficult to predict than it should be.

A leader or organization is stepping into a larger role

A strong technology leader or growing organization needs to develop the structure, operating practices, and leadership behaviors required at the next level.

AI is creating pressure to act

The organization knows AI matters but needs a practical view of where it creates real value, what should change, and what should not.

A major decision is difficult to reverse

A hiring, architecture, partner, vendor, platform, investment, or organizational decision that is hard to reverse needs a trusted outside perspective.

How I work

The right level of involvement.

We start by understanding the situation, then decide what level of involvement makes sense.

Ongoing Advisory

Regular access to an operator’s perspective as decisions, risks, and opportunities emerge.

Counsel to founders and technology leaders
Product, technology, and organizational decisions
Regular working sessions with practical follow-through

Focused Assessment

A structured examination of the organization, technology, leadership, or execution environment when the underlying problem is not yet clear.

Identify material risks and constraints
Separate symptoms from underlying problems
Establish practical next decisions and actions

Strategic Initiative

Hands-on involvement in a defined product effort, organizational transition, technology decision, or critical change.

Shape or pressure-test a new initiative
Support an important transition
Establish stronger operating mechanisms and accountability

Areas of impact

Where I help.

The places where product, technology, leadership, and delivery choices tend to need the most help.

Product and technology direction

Pressure-test product bets, platform choices, and technology strategy before they consume the next year of capacity.

Leadership and organizational design

Strengthen how technology leadership is structured, how decisions get made, and how accountability holds as the organization grows.

Delivery and operating model

Improve planning, ownership, and operating rhythms so progress is easier to predict and harder to derail.

AI strategy and practical adoption

Identify where AI creates real value, what should change in the operating model, and what should stay put.

Architecture, partners, and major technology decisions

Help evaluate architecture, vendor, partner, and investment choices that are costly to reverse.

Experience & evidence

Judgment built from operating experience.

Three decades spanning hands-on engineering through CTO and SVP leadership across private, public, regulated, and SaaS environments. Different contexts, many of the same operating challenges.

What that looks like in practice

Scaled through growth and acquisition

Helped grow an organization from approximately 50 people to more than 300 before acquisition, while building the leadership and operating capacity required along the way.

Led through IPO-era expectations

Led engineering organizations through rapid growth and the planning, accountability, and operating discipline expected in an IPO environment.

Built lasting operating systems

Built planning, accountability, leadership, and operating systems that helped large engineering organizations stay coherent under growth pressure.

Modernized without stopping delivery

Led platform modernization, AI adoption, architectural evolution, and organizational change while keeping delivery moving.

Let’s talk

Let’s talk through the decision in front of you.

Whether it involves product, engineering, AI, leadership, or the organization itself, we’ll use a short conversation to understand the situation and determine the most useful next step.

Start a conversation

Prefer a structured starting point? Explore the diagnostic.