Enterprise Sales Lead, AI Data Operations

This is a fully remote position, open to applicants in California.

📋 Description

• Take charge of pipeline generation. This position focuses on building rather than managing an established client base.

• You will be actively engaged in the Bay Area, interacting directly with the AI ecosystem, including labs, applied machine learning teams, AI platform companies, and enterprise automation purchasers.

• Emphasize selling the technical aspects rather than the company logo.

• Involvement in data collection and annotation, human-in-the-loop quality assurance, preference and ranking data, model evaluation and red-teaming, conversational and multimodal datasets, and agent-trajectory data.

• Collaborate with those who implement the solutions.

• Work closely with operations and AI engineering to develop programs that are genuinely deliverable, focusing on throughput, quality thresholds, ramp plans, and pricing that withstands real-world applications.

• Collaborate with senior leadership to create presentations, proposals, and negotiate enterprise agreements.

• Contribute to the roadmap by providing insights on what buyers are seeking next, ensuring that this intelligence informs service design.

⛳️ Requirements

• 5–7+ years of experience in enterprise sales, business development, or account management, with significant exposure to technology or AI services.

• Proficient understanding of the AI data lifecycle, including collection, labeling, quality assurance, and evaluation, enabling you to participate effectively in technical scoping discussions without a solutions engineer present.

• Proven history of generating your own pipeline and successfully closing new client accounts.

• Comfortable selling services that involve real operational complexities.

• Outstanding written and verbal communication skills; possess genuine consultative instincts.

• Familiarity with annotation platforms such as Labelbox, Scale, Encord, Argilla, and cloud ecosystems like AWS, GCP, and Azure.

• Background in customer experience, contact center data, conversational AI, or voice/automatic speech recognition.

• Experience in selling to frontier labs or applied research teams.

• Proven track record of working with globally distributed delivery teams.

🏝️ Benefits

• Fully remote company with established infrastructure for effective distributed work across six countries.