GTM Engineer

GTM Engineer ABOUT ARENA INTELLIGENCE Arena Intelligence is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use. Millions of people use Arena Intelligence each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress. We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus. ABOUT THE ROLE This is a foundational role for someone who operates at the intersection of engineering, go-to-market, and internal operations. You will build, automate, and scale the systems that connect Arena’s teams — creating the shared infrastructure that allows a lean organization to operate with the precision, visibility, and throughput of a company many times its size. While revenue and GTM systems are a core focus, this role extends beyond sales — acting as the connective tissue across Business Development, Enterprise, Product, Engineering, Legal, Finance, and People. You will design the workflows, data models, and automations that allow these teams to operate in sync, eliminate friction, and make faster, higher-quality decisions. On the Model Labs side, you will systematize how we manage relationships, reporting, and revenue across a concentrated base of global AI labs — while building internal workflows that connect research, delivery, and commercial outcomes. On the Enterprise side, you will architect and deploy the lead engine, pipeline infrastructure, and CRM systems that power revenue growth — while ensuring seamless handoffs across marketing, sales, product, and delivery. You are not inheriting a system — you are building the operational backbone of the company from scratch, with the autonomy to define how teams interact, how data flows, and how work gets done across Arena. CORE RESPONSIBILITIES REVENUE SYSTEMS & CROSS-FUNCTIONAL WORKFLOWS - Build and maintain integrations across core systems, creating a unified data layer that eliminates manual work and keeps teams aligned. - Design end-to-end workflows across the contract lifecycle: intake → pricing → engineering handoff → delivery → QA → invoicing. - Connect GTM, product, and engineering systems so what is sold, built, and delivered stays tightly coupled and measurable. - Build internal tools and automations for coordination, handoffs, approvals, and resourcing. - Automate dashboards and reporting for real-time visibility into account health, delivery progress, renewals, and bottlenecks. - Own revenue reporting and forecasting infrastructure with clear visibility for leadership and Finance. ENTERPRISE PIPELINE & GTM INFRASTRUCTURE - Architect and deploy inbound and outbound pipeline systems — from lead capture and scoring to routing and conversion. - Turn marketing signals (traffic, community, inbound) into qualified pipeline with automated enrichment and prioritization. - Build and optimize a scalable enterprise sales infrastructure, including pipeline logic, forecasting, and system integrations. - Create lifecycle workflows spanning prospecting → sales → onboarding → delivery to ensure continuity across teams. GTM TOOLING & DATA INTEGRITY - Own the GTM and operational te ... (truncated, view full listing at source)