Manager II, PgM Tech - Gen AI

1. Program delivery leadership - overall single point owner of training/eval programs for our clients (typically, various AI labs) for coding, agentic and data areas, with the scope including (but not limited to)

   1. Developing the delivery solution (skills, quality check methods, etc) based on the client requirements
   2. Source technical talent from our supply pools to fulfil the resource needs
   3. Manage the service delivery - quality checks, task flows (e.g., consensus based)
   4. Client stakeholder engagement for ongoing delivery

2. Client engagement - partner with Sales to interact with clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance during delivery. Demonstration of a deep understanding of this space during client engagement is a key requirement

3. Own key collaborations

   1. with our Supply team to source, develop, manage and maintain vendor relationships as well as crowd-sourcing channels
   2. with our Product and Engineering teams to develop a roadmap for tech and tooling required specific to coding, agentic and data analytics related tasking

4. Drive Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; create white papers, participate in industry forums

5. Team management- develop, coach and mentor the existing program manager team to build and scale the in-house talent for coding and data AI evals/training; implement best practices for ways of work, governance, org culture

---- What You Will Need----

1. 10+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains
2. Familiarity and experience in leading or managing the delivery services for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus
3. Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams
4. Familiarity with strategies for talent sourcing, talent supply development, tech/tooling, delivery and QC processes in this domain is required
5. Familiarity with managing vendors, or experience working in a client-vendor setup
6. Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
7. Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services
8. Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
9. Ability to work in a global organization across locations and time zones
10. Ability to mentor and coach team members to build scale in the organization