Business Development Lead, TP.ai Data Services

The Opportunity

TP.ai Data Services enables the development of next-generation AI systems by providing high-quality data solutions that fuel machine learning, generative AI, and advanced analytics at global scale. We partner with Fortune 100 technology leaders to deliver multi-modal datasets, labeling/annotation, data orchestration, model evaluation, and RLHF (Reinforcement Learning with Human Feedback) to power trustworthy, high-performing AI solutions.

Responsibilities

• Drive end-to-end sales for AI/ML data services including data annotation, multimodal labeling, speech/audio/text datasets, RLHF, evaluation, data engineering, and model operations.
• Translate client AI/ML requirements into solution proposals, pricing models, delivery plans, and SOWs.
• Lead complex enterprise sales cycles involving technical, operations, procurement, legal, and product stakeholders.
• Create and execute GTM strategies for priority verticals (Tech, Automotive, Healthcare AI, Autonomous Systems, Retail, etc.).
• Build and maintain a robust pipeline of qualified opportunities across new logos and existing enterprise accounts.
• Drive consistent revenue growth through targeted outreach, account penetration, and expansion opportunities.
• Partner with marketing to develop targeted campaigns for AI/ML prospects.
• Cultivate and manage senior-level relationships with CDOs, Heads of AI/ML, AI Safety teams, Data Science leaders, Trust & Safety executives, and Procurement.
• Serve as the strategic point of contact throughout evaluation, onboarding, contracting, and delivery.
• Ensure high client satisfaction by collaborating closely with Delivery, Operations, and Solutions teams.
• Work closely with Solutions Architects, Data Scientists, and Operations leaders to design technically sound and operationally scalable solutions.
• Lead RFP/RFI responses with strong positioning against competitors.
• Partner with Finance and Pricing teams to build competitive, margin-accretive commercial structures.
• Deliver clear business cases, ROI models, and value-based pitches to enterprise stakeholders.
• Track market trends across generative AI, foundation model training, evaluation, and safety.
• Analyze competitor offerings (i.e. Scale AI, Labelbox, TaskUs, Appen, Sama) and position TP.ai differentiators.
• Provide leadership with insights to shape product strategy and capability investments.

Qualifications

• 7+ years of experience in enterprise B2B sales, with at least 3–5 years in AI Data Services, AI/ML operations, data labeling, model evaluation, or Trust & Safety services.
• Proven track record of closing multi-million-dollar deals with Tech, AI platform, or digital-native enterprises.
• Deep understanding of:
• Data annotation workflows (image, video, NLP, multimodal)
• RLHF, evaluation, and safety alignment processes
• Data quality metrics, sampling design, and error analysis
• Data engineering, data pipelines, and labeling platforms
• LLM lifecycle and AI training datasets
• Strong experience managing senior client relationships with technical and executive stakeholders.
• Demonstrated ability to lead complex RFPs, negotiate MSAs/SOWs, and manage long enterprise sales cycles.
• Skilled in prospecting, pipeline growth, outbound engagement, and building executive-level pitch narratives.
• Familiarity with CRM systems (Salesforce required) and sales forecasting.
• Preferred Experience working at or selling to leading AI companies, hyperscalers, or high-growth tech platforms.
• Background in BPO/ITO, data operations, or AI safety workflows.
• MBA or equivalent business/technical graduate degree.

Pre-Employment Screenings

By TP policy, employment in this position will be contingent on your successful completion of and passage of a comprehensive background check, including global sanctions and watchlist screening.

Culture & Belonging

At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate on the basis of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.