Over the past few years I've moved from digital marketing and operations into building real software products. I spend most of my time with customers, figuring out where workflows break, then designing and shipping tools that make the day-to-day easier.
I can work end-to-end: scope the strategy, run discovery, design the data model, build the UI, and stay close through rollout. I've done this at my own companies and for client organizations.
I work directly in Lovable, React, TypeScript and Supabase, and I've put more than 40,000 Lovable credits toward shipping production features for real customers.
Roles, scope and the outcomes that came out of them.
Drift Hockey · Havertown, Pennsylvania
Built a multi-tenant SaaS platform for youth hockey clubs from customer conversations through production release on web, iOS and Android.
TIDL · Greater Philadelphia
Consultancy that started in digital marketing and shifted toward process improvement, automation, data integration and custom technology for owner-led and mid-market businesses.
Tinuiti (formerly Elite SEM) · United States
Managed complex enterprise programs and translated performance data into clear recommendations for non-technical stakeholders.
POC Media · NFL Films · United States
Ran operational systems in process-heavy production environments — early practice at spotting where better tooling beats more effort.
Things I built or led that had a measurable effect.
Vertical SaaS for youth hockey clubs, live on web and both app stores.
Schedules, rosters, attendance, messaging, lineups, coaching resources and video analysis in one platform — including hockey-specific logic (forward lines, D pairs, special teams, starting goalies) that generic team-management tools handle badly.
A second product, designed from real customer scenarios.
Built the Program → Registration Options → Sessions data model covering multi-date programs, individually bookable sessions and appointment-based lessons — with capacity management, waitlists, waivers, transactional reservations to prevent overbooking, and a phased release plan.
Brought data from scattered systems into one reporting layer.
CRM, call-tracking and ad-platform data from Salesforce, Zoho, CallTrackingMetrics, Ringba and Google Ads normalized into a canonical model — designed to stay maintainable as fields, schemas and source systems change.
Deciding what kind of AI solution fits the problem.
Helping organizations choose between a prompt, automation, agent or purpose-built application — then identifying the data, permissions, systems and business rules that make AI genuinely useful in day-to-day operations.
Platforms, disciplines, and ways of working.
Where strategy, customer work and building actually overlap.
I spend time with the people doing the work before I propose anything. I want to know where things actually break, not just what the org chart says.
40,000+ Lovable credits have gone into shipping real products for real customers. I know where the platform accelerates work and where the real complexity still shows up.
I've scoped, priced and sold custom software, and I can sit down and build it myself. That keeps the strategy honest and the delivery practical.
I bring engineers specific evidence — who asked, what breaks today, what outcome creates value — and translate constraints back into business decisions.
Bachelor of Arts (B.A.), Film/Video Production
Penn State University · 2009 – 2013
Activities: Penn State D1 Hockey
Available on request.
Open to conversations about interesting problems and good teams.
© 2026 Brian Dolan