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Sr Program Manager Tech - Gen AI

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Uber

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Location:
United States , Sunnyvale ▼

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

167000.00 - 185500.00 USD / Year
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Job Description:

Lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. Build and scale the customer mindshare and impact for coding and data use cases in AI training at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace.

Job Responsibility:

  • Client engagement for presales support - partner with Sales to interact with prospective clients to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach
  • Client engagement for program delivery - represent the service delivery organization and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams
  • Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required
  • Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI with prospective clients
  • Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals
  • Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking
  • Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives
  • Best practices - continually improve ways of work, enhance delivery maturity, 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 (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required
  • Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams
  • Familiarity with strategies for delivery and QC processes in this domain is required
  • Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services
  • Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
  • Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
  • Ability to work in a global organization across locations and time zones

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 of mind to keep updated on, and participate in, latest developments and research
  • Strong business acumen, willingness to take smart risks and grow
  • Ability to get hands-on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture
  • Sense of ownership - self starter who can take a charter and define goals, execute plans
  • Good prioritization and time management skills
What we offer:
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits

Additional Information:

Job Posted:
January 29, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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