Most people do one side. I lead a quota-carrying sales team by day and engineer the data platforms, prospecting engines, and AI automations that make it move. Same hands on both.
GTM Engineering usually means hiring two people and hoping they talk. I'm the seam between them: I know what a rep actually needs on a call because I coach seven of them, and I can build the system that delivers it because I ship code.
District sales leader in restaurant tech. Pipeline, forecasting, territory design, Sandler coaching, enablement. I build for GTM because I *am* the GTM user — I know where deals stall and where reps waste hours.
Python data pipelines, web apps deployed to Cloudflare/Vercel, CRM automation over live APIs, LLM agents, and self-hosted infrastructure. Not prototypes — systems my team depends on every morning.
A sample of GTM systems I've designed, built, and operated. Live tools carry proprietary data, so these describe what they do and the outcome rather than exposing internal dashboards — happy to walk through any of them live. draft — swap in your exact metrics
Pulls Salesforce, Salesloft, and Sigma every morning, reconciles them, and renders a live team scoreboard — pacing, forecast lock/stretch, and per-rep activity — deployed as a web app the whole team opens daily.
Takes a rep's raw territory and enriches every account: detects the incumbent tech stack via HTML fingerprinting, checks delivery-marketplace and ads presence, and generates a prioritized, talk-track-ready outreach brief per target.
40+ automations that run a sales manager's week: 1:1 prep, forecast roll-ups, deal inspection, call grading against a coaching framework, coaching plans, and monthly business reviews — built on Claude with data + CRM connectors.
Unifies graded call transcripts, activity data, and outcomes, then runs an automated hypothesis engine that surfaces which behaviors actually correlate with closed-won — a living "what works" memo instead of gut feel.
Schema-driven CRM build for an outside client: provisioned custom fields, pipelines, and stages over the REST API, audited and de-duplicated live data, and wired automation — all stage-gated and read-only-first for safety.
Runs the whole operation on owned infrastructure: a Proxmox cluster, reverse-proxied services with SSO, scheduled jobs, and multiple domains deployed via CI — the backbone the GTM tools sit on.
I coach the people the system serves, so I build for the real workflow, not the theoretical one. Fast feedback loop from problem to running tool.
If a decision matters, it gets a number behind it. I turn scattered signals into dashboards and correlation studies the team can act on.
Live revenue systems deserve care. I audit and dry-run before I write, stage-gate risky changes, and keep humans in the loop where it counts.
If you need someone who can sit between sales and engineering — and actually operate on both sides — let's talk.