Responsibilities

• Own and drive revenue growth for AITHORS by identifying, pursuing, and closing partnerships with frontier AI labs, AI-native companies, and enterprise buyers of AI training data services
• Lead full-cycle sales of data annotation, data labeling, RLHF, and model fine-tuning engagements — from first contact through contract execution
• Build and manage a pipeline of high-value accounts within the frontier AI ecosystem, with a focus on OpenAI, Anthropic, xAI, Google DeepMind, Meta AI, and emerging labs
• Design and execute AITHORS' community growth strategy — expanding membership across practitioner, enterprise, and lab segments while maintaining the community's invite-only quality bar
• Partner with Vikara AI's leadership to develop joint GTM motions
• Represent AITHORS at key industry events, conferences, and community convenings — building visibility and trust within the AI practitioner ecosystem
• Develop commercial frameworks for AITHORS sponsorships, enterprise memberships, and partner programs
• Feed market intelligence from the community back into product and community roadmap decisions

Requirements

• Frontier Lab Network: Direct, hands-on experience partnering with or selling into at least one of the following: OpenAI, Anthropic, xAI, Google DeepMind, Meta AI, Mistral, Cohere, or equivalent frontier labs
• Closed Deals in AI Training Data: Proven track record closing deals for one or more of: data annotation, data labeling, RLHF (Reinforcement Learning from Human Feedback), and model fine-tuning services — specifically sold to AI labs or AI-native companies
• Lab Buying Motion Fluency: Deep understanding of how frontier labs buy — including internal stakeholders (research, alignment, applied AI, procurement), deal structures, and evaluation criteria
• GTM Track Record: 5+ years in GTM, business development, or sales roles — ideally within AI/ML infrastructure, data services, or AI platform companies
• Network Depth: Existing relationships within the frontier AI lab ecosystem that can be activated on Day 1
• Presence & Communication: Strong communication and executive presence — able to engage credibly with researchers, executives, and operators alike
• Location: Based in the San Francisco Bay Area or willing to relocate

Preferred

• Prior experience building or scaling a professional community, membership network, or industry association
• Background at a data annotation company (Scale AI, Appen, Labelbox, Surge AI, Prolific, etc.) or AI infrastructure vendor
• Familiarity with the PE/investor landscape and how AI value creation intersects with portfolio operations
• Experience designing and selling enterprise membership, sponsorship, or community programs
• Technical fluency in ML concepts — enough to hold substantive conversations with practitioners and researchers