Enterprise Sales Lead, AI Data Operations

Job not on LinkedIn

🕒 5 days ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Arise

WebsiteLinkedInAll Job Openings

201 - 500 employees

📦 Logistics

🏥 Healthcare

✈️ Travel

Logistics • Healthcare • Travel

Arise is a leading provider of virtual customer experience solutions, leveraging cutting-edge technology to deliver flexible and exceptional customer service across a range of sectors including retail, travel, gaming, healthcare, BFSI, and energy and utilities. With its proprietary GigCX platform, Arise integrates advanced AI chatbots and sophisticated analytics to enhance omnichannel strategies, supporting businesses in adjusting to shifts in customer patterns and improving customer retention. The company focuses on creating flexible work opportunities and enabling work-from-home operations, thus contributing to improved operational efficiency and customer support quality.

📋 Description

• Own pipeline generation. This is a build role, not an inherited-book role. • You will be feet on the street in the Bay Area, working the AI ecosystem directly — labs, applied ML teams, AI platform companies, and enterprise automation buyers. • Sell the technical work, not the logo. • Data collection and annotation, human-in-the-loop QA, preference and ranking data, model evaluation and red-teaming, conversational and multimodal datasets, agent-trajectory data. • Scope with the people who deliver it. • You will work directly with operations and AI engineering to build programs that are actually deliverable — throughput, quality thresholds, ramp plans, and pricing that survives contact with a real workload. • Partner with senior leadership on presentations, proposals, and negotiations for enterprise deals. • Feed the roadmap. You are closest to what buyers are asking for next. We want that intelligence coming back into service design.

🎯 Requirements

• 5–7+ years in enterprise sales, business development, or account management, with meaningful time in technology or AI services • Working fluency in the AI data lifecycle — collection, labeling, QA, evaluation — enough to hold your own in a technical scoping call without a solutions engineer in the room • A track record of self-generated pipeline and closed net-new logos • Comfort selling a services motion with real operational complexity behind it • Excellent written and verbal communication; genuinely consultative instincts • 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 working across globally distributed delivery teams

🏖️ Benefits

• Fully remote company, with real infrastructure for distributed work across six countries