Brandon Tamm

I've spent 15+ years at the intersection of complex software platforms and the business outcomes they're supposed to drive. My work lives in the gap between what a platform can do and what customers actually need — which means I spend a lot of time in pre-sales, discovery, roadmap design, and the uncomfortable conversations that come with both.

What I do

Most recently at Amsive as Solutions Architect — leading a complex three-platform enterprise migration (BigCommerce, Akeneo PIM, Celigo iPaaS). Before that at Hammer Commerce (Weidenhammer) on Adobe Commerce and BigCommerce implementations, and earlier at BlueAcorn iCi as the SA on the Walmart × Adobe store fulfillment module: 700 tickets, 79K lines of code, 30 contributors, 36 weeks — a joint venture between Fortune 500 #1 and #235. Before that, at Consolidated Equipment Group, I led a four-person Salesforce + Magento integration team — real-time sync across Salesforce Marketing Cloud, Sales Cloud, and InsideSales, with lead qualification routing inbound contacts to auto-assigned reps within four minutes. And before that I ran ecommerce strategy at Asset Marketing Services across GovMint, NewYorkMint, and Stauer — doubling new customer counts, growing email orders 51%, identifying $400K in annual email vendor savings, and building a platform so competitive it compelled a rival acquisition.

I'm comfortable in the weeds of technical architecture and equally comfortable making the case for a platform investment at the executive level. That range is rare — and it's where I do my best work.

The AI piece

I've built production AI pipelines — structured discovery-to-delivery workflows where automated spec generation and constrained AI output collapsed the 1st Franklin Financial borrower portal build to approximately 2.5 hours of active development time. I also advise on where AI fits in product roadmaps, how to position it to skeptical buyers, and how to design pilots with measurable success criteria.

I don't lead with AI. I lead with the business problem. AI is one tool in a toolkit — sometimes the right one, often not.

The trades side

I've been running a residential construction business since 2001 — concrete, masonry, tile and stone, hardscapes, LVP, interior and exterior finishes — alongside the tech career. That's not a hobby. It's 25 years of operating a service business: estimating jobs, managing subcontractors, chasing down leads, and figuring out which software actually survives contact with a real jobsite.

That lived experience shapes how I think about construction tech platforms and service business software — the data entry moment that fails in 15°F weather, the three-persona buying decision that SaaS companies consistently miss, the offline-first requirement that gets deprioritized because the PM has never lost a connection mid-pour. I've been that buyer. I know what the platform needs to do before I'll actually use it. That's a rare vantage point for an SA.

I've applied the same harness engineering methodology I use on enterprise builds to build websites and CRM lead pipelines for service businesses — structured discovery, constrained AI output, fast time-to-live. See the work.

Currently

On contract through Amsive (through May 2026) and open to senior SA and GPM roles — particularly in construction tech, ecommerce, or any SaaS platform where the complexity of the product is the moat. Also available for project-based consulting, including website and CRM builds for service businesses and contractors.

Outside work

Based in rural central Minnesota. I like to build things — software, concrete, outdoor spaces. I think clearly when my hands are busy.