Sr Program Manager Tech - Gen AI
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Upload Your ResumeAbout This Role
Lead program delivery and client engagement for AI training and evaluations, specifically for coding, agentic AI, and data analytics. This role manages US/onshore delivery of AI annotation, training, and evaluation for coding and data areas, playing a key role in building customer mindshare and impact.
Responsibilities
- Partner with sales to engage with prospective clients (AI labs, foundation LLM companies, agentic AI companies) to shape project scope, evangelize capabilities, design delivery solutions, and establish governance approaches
- Represent the service delivery organization to drive ongoing governance, enable troubleshooting, identify up/cross sell opportunities, and provide thought leadership to client teams
- Help manage US/onshore delivery of annotation, training, and evaluation of AI/LLM/ML for coding and data areas
- Demonstrate deep understanding and expertise in coding and data analytics related AI training/evaluations, including agentic AI, to drive talent supply strategy, tech platform, and tooling
- Collaborate with the supply team to source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evaluations
- Collaborate with product and engineering teams to develop a roadmap for technology and tooling specific to coding and data analytics tasking
- Represent coding and data AI capabilities in senior leadership interactions, evangelizing and driving sponsorship for initiatives
- Continually improve ways of work, enhance delivery maturity, and elevate governance and impact
Requirements
- 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains
- Familiarity and experience in leading or managing client interactions for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML
- Experience in client facing service delivery management, solutioning, and governance with external client stakeholders at senior levels or their AI teams
- Familiarity with strategies for delivery and QC processes in this domain
- Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services
- Strong ability to communicate and bring clarity of thought in messaging for senior management and broader teams
- Strong collaboration skills and abilities across silos and team structures
- Ability to work in a global organization across locations and time zones
Qualifications
- 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, and ML ops domains
Nice to Have
- Education in technical domains like engineering, STEM, business management
- Deep knowledge of AI domain (generative AI, agentic AI, LLMs, ML ops) with a curious bent to stay updated on latest developments and research
- Strong business acumen and willingness to take smart risks and grow
- Ability to be hands-on, detail-oriented, and also manage the big picture
- Sense of ownership, self-starter who can define goals and execute plans
- Good prioritization and time management skills
- Familiarity with data analytics, ML, agentic AI disciplines for data annotation, training, evaluation
Skills
* Required skills
Benefits
About Uber
Uber's Global Scaled Solutions (Uber AI Solutions) powers operations and technologies including data annotation, generation, and evaluations for AI/ML, app testing, localization, and map editing, leveraging advanced technology with human intelligence.