Business Development Lead, TP.ai Data Services

• Maximize Your Impact with TP
• Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions.

• Want to maximize your impact and earnings? Join our Business Development team, where you'll have access to multiple tools that will help leverage your potential.
• Diverse solutions and verticals: Boost your quota and earnings across multiple verticals, including Insurance, Technology, Banking and Financial Services, Digital Ads, and more!
• Global reach: Sell across multiple locations & languages, broadening your portfolio.
• Digital solutions leader: Leverage our expertise in AI, omnichannel solutions, and customer satisfaction.

As a Great Place to Work certified in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow.

• 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.

The Business Development Lead is responsible for driving new business growth across TP.ai’s AI Data Services business. This role requires deep understanding of AI/ML data workflows, enterprise data needs, data labeling/annotation pipelines, RLHF and evaluation, AI operations, and trust & safety processes. You will own the full sales cycle, build C-suite relationships, and craft scalable solutions that meet complex technical and operational requirements.

• The 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.

• The 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.

• Important | Policy on Unsolicited Third-Party Candidate Submissions
• TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.

• 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.