The Role
Leads data acquisition strategy and operations for frontier AI research. Partners with model research and algorithm teams to identify data needs, sources datasets globally, negotiates vendor and licensing agreements, establishes data quality metrics, manages governance and compliance requirements, and scales vendor ecosystems and delivery pipelines. The role also standardizes dataset specifications and integrates external data into internal processing and pre-training workflows.
Summary Generated by Built In
Business UnitTechnology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.What the Role EntailsAbout the Role
We are seeking a Data Partnership Lead to drive data operations and strategies for our frontier AI research initiatives. In this role, you will design end-to-end data acquisition strategies, manage key vendor relationships, and own the data pipeline from requirements to production. This role requires a unique blend of technical depth—to evaluate what constitutes high-quality training data—and operational excellence to execute at a global scale.Who We Look For
We are seeking a Data Partnership Lead to drive data operations and strategies for our frontier AI research initiatives. In this role, you will design end-to-end data acquisition strategies, manage key vendor relationships, and own the data pipeline from requirements to production. This role requires a unique blend of technical depth—to evaluate what constitutes high-quality training data—and operational excellence to execute at a global scale.
Key Responsibilities
- Execute End-to-End Data Strategy: Partner directly with foundational model research and algorithm leaders to identify technical data gaps, translating research roadmaps into targeted global sourcing and supplementation strategies.
- Drive Strategic Partnerships: Own the full lifecycle of high-value technical data acquisition across North American commercial vendors, research networks, and open-source communities—from initial sourcing and executive pitching to structured commercial negotiation.
- Establish Quality & Evaluation Metrics: Collaborate with engineering teams to build data evaluation standards, assessing the technical quality, scarcity, and training utility of external assets to ensure they meet strict algorithmic benchmarks.
- Navigate Complex Data Governance: Work cross-functionally with Legal, Privacy, and Security teams to structure licensing, provenance, and anonymization terms (including CCPA/CPRA and broader data regulations) that guarantee legal training and commercial usability
- Scale Data Operations: Build robust, long-term vendor and partner ecosystems, managing delivery SLAs and pipeline tracking to accelerate research velocity without sacrificing quality.
Preferred Qualifications
- Demonstrated expertise in high-leverage technical environments, with a strong background in Technical Program Management (TPM), AI Data Operations, Strategic Tech Deals, Data Licensing, or Management Consulting.
- Optimize Data Ingestion Workflows: Standardize external dataset specifications and integrate them into internal data processing and pre-training workflows to realize scalable asset accumulation.
- Deep operational knowledge of North American data commercial compliance rules and IP licensing rchitectures.
Location State(s)
US-California-Los Angeles, US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $113,900.00 to $213,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at TencentAs an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Skills Required
- Background in Technical Program Management, AI Data Operations, strategic technology deals, data licensing, or management consulting
- Ability to standardize external dataset specifications and integrate them into internal data processing and pre-training workflows
- Deep operational knowledge of North American data commercial compliance rules and intellectual property licensing architectures
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The Company
What We Do
Tencent is a world-leading internet and technology company founded in 1998 in Shenzhen, China. It develops products and services spanning social platforms and messaging, online games, digital media, payments and financial technology, cloud and advertising solutions, utility software, and enterprise digital transformation. Its mission is to use technology for good and improve the quality of life of people around the world.
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