I work with teams that know their process is broken but aren't sure what the software should look like. I start by watching the work, asking where the friction actually lives, then translating that into a clear product and a practical build plan.
I can run the full cycle: lead discovery, map the data model, design the UI, write the logic, and roll it out to users. I sit comfortably between business stakeholders and technical execution — I can sell the idea, build it, and then make sure people actually use it.
Most recently that has meant shipping a multi-tenant SaaS platform, building AI-assisted workflow tools, and integrating data from CRMs, ad platforms and call-tracking systems. I've also put more than 40,000 Lovable credits toward real production features for real customers.
Roles, scope and the outcomes that came out of them.
TIDL · Greater Philadelphia
Consultancy that helps owner-led and mid-market businesses automate operations, unify data and ship custom technology.
Drift Hockey · Havertown, Pennsylvania
Built a multi-tenant SaaS platform from first customer conversations through production release on web, iOS and Android.
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.
Zero-to-one product for a niche market, live on web and both app stores.
Built a multi-tenant platform for youth hockey clubs covering schedules, rosters, attendance, messaging, lineups, coaching resources and video analysis — including domain-specific logic (forward lines, D pairs, special teams, starting goalies) that generic 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.
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.
40,000+ Lovable credits have gone into shipping real products for real customers. I know where AI-assisted platforms accelerate work and where the real complexity still shows up.
Bachelor of Arts (B.A.), Film/Video Production
Penn State University · 2009 – 2013
Activities: Penn State D1 Hockey
Open to conversations about interesting problems and good teams.
© 2026 Brian Dolan