About the role
Tech Lead — ToolHound (Embedded, Beacon Software) Where the work is Beacon buys great vertical software businesses and makes them dramatically more valuable, not by squeezing them, but by giving them world-class engineering and AI leadership they could never hire on their own. Our engineers go where the work is: embedded inside a single business, owning its technology end to end, and compounding its enterprise value quarter over quarter. This role is one of those seats. You will be the technical leader for ToolHound , a mature, profitable tool-and-asset-management platform used by industrial, construction, energy, and manufacturing customers to track where every tool and asset is, who has it, and what it costs them. You won't advise from the outside. You'll own the codebase, set the roadmap, lead
the team, and be measured on the value you create. This is an AI-native rebuild, not maintenance. ToolHound is a profitable, established platform, and the mandate is to reimagine what it does with AI at the center, and you're the technical leader who owns that from the front. We're looking for a jack of all trades , a strong generalist who can go deep where it counts. Deep, current .NET expertise is the price of entry, because that's what ToolHound is built on today. Over time, ToolHound converges onto Beacon's shared engineering standards, and you'll be the one leading that journey. The right person is excited by both, mastering the stack in front of them and growing into a broader one.
What you'll do Own the technical and product roadmap. Decide what gets built and why, in partnership with the GM and customers. Translate business priorities (retention, expansion, new verticals, operational leverage) into a sequenced engineering plan you're accountable for. Drive everything technical. Architecture, code quality, security, data modeling, performance, release engineering, and the migration path. You set the bar and you'll make the final technical decision. Ship AI that changes the business, not demos. Take the natural-language assistant and the broader AI surface from plan to production: evals, guardrails, tenant-safe tool use, and features customers feel. You know when to lean on a foundation model, when to fine-tune, and how to keep agentic workflows on the rails in a multi-tenant system. Lead and grow
