Engineering Leader
Brandon Queener
I lead teams that build systems transforming how organizations operate. Engineering Manager at Coinbase, managing 9 engineers across two sub-teams delivering agentic AI systems, client-facing products, and enterprise platforms. From identifying a broken institutional support experience to shipping a logged-in portal and messaging system that serves clients investing millions on our platform.
How I Operate
AI-first agile. Identify the hardest problems first. Plan architecture thoughtfully. Build fast with AI tools. Refine with real feedback. Increment.
My path from business analysis to system administration to software engineering to engineering management means I understand the customer, the process, the platform, the code, and the people. I didn't inherit an engineering team. I built the technical credibility first.
Impact at Coinbase
What My Team Has Built
Team Transformation
- →Took ownership during instability and attrition risk; rebuilt into a high-performing team
- →Grew team from 5 to 9 engineers, absorbing a departing manager's scope
- →Led technical evolution from Salesforce into GoLang microservices, LLM integrations, and full-stack client-facing products
Product Strategy & Delivery
- →Identified recurring institutional client complaints around email-to-case communication. Led roadmap to build a logged-in support portal within the Coinbase product: backend messaging channel, extensible in-app notification system, directly integrated with ops case management workflows. Solved the authentication/trust layer for clients investing millions on the platform.
- →Extended the support channel to Telegram via a gRPC backend integration. Full message parity with the web portal. Same trust layer, different surface, meeting clients where they communicate.
- →8 product launches across futures, derivatives, and international expansion
Agentic AI & Automation
- →Built an agentic AI pipeline that scans production exceptions, categorizes errors, creates tickets, and routes to on-call engineers. Patterns adopted across the company.
- →Team integrated LLM assistant into customer service: 31% reduction in resolution time, 80% AI-generated case summaries
- →Automations saving 6,000+ hours/year across operations
Crisis Leadership
- →Personally designed and deployed enterprise case routing during a critical Sev1 within 2 weeks, securing 2M+ records
- →Team resolved 440+ post-migration bugs, driving 80% decrease in incoming bug volume
Side Projects
Daily Briefing
→AI-powered morning intelligence system. Multi-source data aggregation, dual-agent analysis pipeline, live dashboard.
Python, Claude API, n8n, Tailwind
ZeroToShip
→Automated SaaS opportunity engine. Scrapes pain points from the web, clusters and scores them, generates ranked startup briefs.
TypeScript, Next.js, Supabase, Claude API
Local Roots
→Full-stack CSA marketplace. Go backend, Next.js frontend, Stripe Connect payments, e2e testing.
Go, TypeScript, Next.js, Stripe, PostgreSQL