What I Do
One or two days a week, I own execution — engineering delivery first, then product and go-to-market. Solo or embedded with your team, until the problem is fixed.
Core Services
Technology & Operating Executive
One or two days a week, owning execution across tech, product, and go-to-market
Learn more →Team Performance
Fix delivery bottlenecks and build predictable shipping velocity
Learn more →AI Integration
Practical AI implementation that creates real business value
Learn more →Architecture & Infrastructure
Fix technical debt, improve reliability, cut infrastructure costs
Learn more →Technical Due Diligence
Comprehensive technology assessment for M&A and investments
Learn more →Team & Delivery Performance
For teams that are busy but not shipping
Founder-Engineer Alignment
Why you're building different things — and how to fix it
Delivery Process Optimization
From chaotic to predictable shipping
Team Assessment & Upleveling
Understand what you have, build what you need
Hiring Process Design
Who to hire and how to interview them
30-60-90 Onboarding Frameworks
New hires contributing faster with frameworks that actually work
Best for: Teams of 5-30 engineers where velocity has stalled
Architecture, Reliability & Cost
For codebases and AWS bills that got away from you
Technical Debt Cleanup
What to fix first and why — then fixed, in that order
Infrastructure Cost Optimization
I've seen 40-60% reductions — you're probably overpaying
Architecture Modernization
Incremental changes that don't require a rewrite
System Reliability
Performance improvements that stop the 3am pages
Best for: Companies spending more than they should on infrastructure, or shipping slower because of accumulated shortcuts
Product & Go-to-Market Execution
For when engineering ships and the business still doesn't move
Roadmap & Prioritization
One ranked list tied to revenue, agreed on by product, engineering, and sales
Sales & Engineering Alignment
Commitments sales can make and engineering can keep
Launch Execution
What ships reaches customers, with sales ready to sell it
Build vs. Buy Decisions
Vendor choices made on cost and fit, then carried through
Best for: Companies where engineering delivers but revenue doesn't follow, or where product, engineering, and sales plan from different lists
AI Integration & Automation
For companies who know they should be using AI but don't know where to start
AI Readiness
Where it creates value vs. where it's hype
Workflow Automation
Real time and money savings, not demos
AI Tool Integration
Into your existing systems — not a separate silo
Team Training
So it actually sticks and your team can run with it
Best for: Companies with repetitive, painful processes eating up hours — who haven't figured out how to apply AI to their actual business
Hands-On Builds
For when you need it built, not just planned
System Architecture & Implementation
From design to working software
CRM & Internal Tools
Integration projects that actually get finished
Prototype & MVP Development
Fast validation with production-quality foundations
Legacy System Modernization
Incremental improvements, not risky rewrites
Best for: Projects where you need someone to build it, not describe it
How I Work
A monthly retainer, one or two days a week, typically three to six months. I start fixing in month one, then I own the fixes:
Month 1: Find & Start
What's actually broken — and the first fix shipped
Month 2: Fix
With your existing team, or solo when there's no team to sit with
Month 3: Measure
Against the numbers we agreed on in week one
I don't bill hourly. I own the outcomes we agreed on upfront.
Common Questions
What do you actually take on?
Execution across technology, product, and go-to-market. Most engagements start with engineering delivery: tech debt, slow shipping, reliability, infrastructure cost, and AI adoption. When the blocker is the roadmap or a launch that stalls before revenue, I own that too. I work one or two days a week, solo or embedded with your team, and I own the problem until it's fixed.
Do you work with early-stage startups?
I primarily work with growth-stage companies that have product-market fit, typically $5M–$50M in revenue with 10–200 people and engineering teams of 5–50. If you're pre-product-market fit, you might be better served by a full-stack founding engineer than by an embedded executive.
Can you help with AI integration?
Yes. I've spent the last two years building AI-native companies and integrating AI into products and operations. I find where AI creates real value versus hype, build the automation with your team, and change how work gets reviewed, tested, and shipped so it sticks.
Do you work remotely or on-site?
Both. I'm based in Toronto and work with companies across North America. Month one includes on-site time with your team. After that the work can be hybrid, depending on what it needs.
How do you charge for your services?
I don't bill hourly. We agree on scope and outcomes upfront, so you know the cost before we start. Retainers start at $8,000 CAD/month for one day a week of my capacity, or $14,000 CAD/month for two. Most run three to six months. On the deal side, a pre-LOI red-flag review is $9,000 CAD, and full technical due diligence — data room, team interviews, written report, and readout with your deal team — is from $30,000 CAD. AI engineering programs and fixed-scope projects are quoted on scope. Rates are in Canadian dollars. USD quoted on request.
Why one person instead of a firm?
Firms staff the work with junior people and write reports. I do the work myself — write code, fix architecture, sit in standups and pipeline reviews, build systems. You get 25 years of experience directly, not filtered through account managers.
Can you help us hire a full-time CTO?
Yes. By the end of month one I know whether you need a full-time CTO and what profile would work best. I define the role, interview candidates, and hand the work over when they start.
Not sure where to start?
Book 30 minutes. I'll tell you what's actually broken and whether I'm the right person to own it.
Book a Time