Business Development
LMArena
- Location
- Bay Area
- Employment
- Full Time
- Work model
- Remote
- Level
- Staff
- Posted
- 2h ago
Skills
About this role
About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. 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 together, in an office culture that radiates excellence, energy, and focus.
The Role
This is a senior individual contributor role for a closer who thrives on autonomy. You will own the full lifecycle of revenue generation—from navigating complex technical stakeholders to structuring and closing seven-figure contracts. You will be responsible for ensuring Arena meets and exceeds its annual revenue and consumption targets by deeply embedding our evaluation infrastructure into the workflows of the world's most advanced AI companies.
Core Responsibilities
Strategic Account Growth & Execution Own the Model Lab Relationships: Serve as the primary business lead for top global model labs, managing the relationship from research lead to procurement. Drive Revenue Expansion: Expand revenue across modalities (text, code, multimodal, vision, auto-eval) by aggressively aligning our eval programs with each lab’s training and research roadmaps. Strategic Enterprise Expansion: Identify and close select opportunities to bring LMArena’s eval capabilities to high-value enterprise accounts (e.g., Salesforce, IBM, ServiceNow) seeking to evaluate internal or vendor models. Secure Market Presence: Negotiate co-release and marketing rights for every major lab partnership to ensure LMArena retains mindshare as the industry standard. Lifecycle Management: Own contract renewals, upsells, and expansions, ensuring forward visibility into multi-quarter revenue commitments. Forecasting, Deal Structuring & Strategy Pipeline Hygiene: Maintain rigorous revenue forecasts that tie directly to delivery schedules, consumption pacing, and renewal cycles. Deal Architecture: Design and enforce pricing frameworks that balance predictability (committed contracts) with flexibility (usage-based consumption). Cross-Functional Alignment: Collaborate with Delivery and Product teams to ensure evaluation capacity, quality, and timing are aligned with customer expectations. New Product GTM: Ramp up on net new Eval or Data Products and build the strategy to sell them into existing and net new relationships. What We Look For 10+ Years of Business Development / Sales: You have a proven track record of selling complex technical infrastructure or data products as a top-performing individual contributor. Proven Closer: You have a history of personally closing seven-figure deals. You are comfortable navigating procurement at large organizations and negotiating complex terms without hand-holding. AI Fluency: You have ideally worked in AI and understand the stack (Training vs. Inference, RLHF, Benchmarking). You can credible discuss model performance needs with research scientists. High Agency: You are a self-starter who can operate without a playbook. You effectively manage your own pipeline, forecasting,