You will engage with labs, applied ML teams, AI platform companies, and enterprise automation buyers to drive data collection, annotation, and related services. You will sell the technical work rather than the brand, covering data collection and annotation, human-in-the-loop QA, preference and ranking data, model evaluation and red-teaming, conversational and multimodal datasets, and agent-trajectory data. You will collaborate with operations and AI engineering to define deliverable programs—throughput, quality thresholds, ramp plans, and pricing that withstand real workloads. You will partner with senior leadership on presentations, proposals, and enterprise negotiations, and provide market feedback to inform product roadmap.

Who this is for: An experienced AE, Strategic AE, or Director of Business Development in data services, annotation, or AI training-data companies. You should have a track record of self-generated pipeline and closed net-new logos, and be comfortable selling a services-focused engagement with real operational complexity.

Nice to have: Familiarity with annotation platforms (Labelbox, Scale, Encord, Argilla) and cloud ecosystems (AWS, GCP, Azure); background in CX, contact center data, conversational AI, or voice/ASR; experience selling into frontier labs or applied research teams; experience coordinating across globally distributed

You will engage with labs, applied ML teams, AI platform companies, and enterprise automation buyers to drive data collection, annotation, and related services. You will sell the technical work rather than the brand, covering data collection and annotation, human-in-the-loop QA, preference and ranking data, model evaluation and red-teaming, conversational and multimodal datasets, and agent-trajectory data. You will collaborate with operations and AI engineering to define deliverable programs—throughput, quality thresholds, ramp plans, and pricing that withstand real workloads. You will partner with senior leadership on presentations, proposals, and enterprise negotiations, and provide market feedback to inform product roadmap.

Who this is for: An experienced AE, Strategic AE, or Director of Business Development in data services, annotation, or AI training-data companies. You should have a track record of self-generated pipeline and closed net-new logos, and be comfortable selling a services-focused engagement with real operational complexity.

Nice to have: Familiarity with annotation platforms (Labelbox, Scale, Encord, Argilla) and cloud ecosystems (AWS, GCP, Azure); background in CX, contact center data, conversational AI, or voice/ASR; experience selling into frontier labs or applied research teams; experience coordinating across globally distributed