We are seeking a Pricing Lead to drive dynamic, data-driven pricing strategies for gig-based workforce solutions, AIML annotation services, and Generative AI-driven offerings. This role will be instrumental in designing scalable pricing models, optimizing revenue streams, and ensuring market competitiveness for TPs dataservices. Key Qualifications & Skills: Develop and implement AI-powered pricing models for gig workforce solutions, AI data annotation, and Generative AI services. Design cost-to-serve models that factor in gig worker availability, AI automation efficiency, and operational scalability. Create usage-based, subscription-based, and value-based pricing frameworks for AI-driven services. Work closely with TP.ai Dataservices product and program teams to align pricing strategies with model development costs and cloud compute expenses. Build predictive pricing models to optimize profitability, margin expansion, and cost efficiency. Analyze gig workforce engagement trends and pricing elasticity to enhance workforce deployment strategies Implement dynamic pricing mechanisms to adapt to demand fluctuations, AI training costs, and real-time customer needs. Monitor industry pricing trends in gig workforce, AIML data services, and Generative AI markets. Conduct competitive benchmarking to identify market gaps and pricing differentiation opportunities. Assess Trust & Safety and AI-based workforce pricing models to strengthen TPs market positioning. Partner with Sales, Product, Finance, and Operations teams to develop tailored pricing proposals. Work with AI/ML and GenAI product leaders to optimize pricing for model training, fine-tuning, and inference workloads. Develop pricing playbooks, customer-facing pricing documents, and proposal templates to support go-to-market strategies. Required Qualifications & Experience 5+ years of experience in pricing strategy, financial modeling, or revenue optimization, ideally in gig workforce platforms, AIML, or Generative AI services. Strong expertise in cost modeling, pricing elasticity, and revenue forecasting for AI-powered digital solutions. Experience working with gig economy platforms, AI data annotation services, or crowdsourced workforce management. Proficiency in financial analytics tools (Excel, SQL, Power BI, Tableau, or similar platforms). Deep understanding of AIML operational costs, cloud computing (AWS, GCP, Azure), and model training economics. Strong analytical, problem-solving, and negotiation skills with the ability to influence executive stakeholders. Preferred Qualifications Experience designing Trust & Safety pricing models. Familiarity with Generative AI pricing (token-based pricing, API usage, model fine-tuning, etc.). Understanding of gig worker compensation structures and AI-assisted workforce deployment. Interested candidates can share their application on diksha.gupta1@teleperformance.com