About the role

Aplyr's Quick Take

This role is about leading data operations for AI research, focusing on acquiring and managing high-quality data from various sources. It's an individual contributor position that requires both technical expertise and operational skills to ensure data meets research needs and compliance standards.

Good fit

Ideal candidates have a strong background in technical program management or data operations, with experience in AI or strategic partnerships. They should be detail-oriented and comfortable navigating complex compliance issues.

Worth noting

The role involves significant cross-functional collaboration, particularly with legal and privacy teams, which may be a unique aspect for those used to more isolated data roles. The salary range is quite broad, indicating potential for negotiation based on experience.

Business Unit

What the Role Entails

About 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.

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.

Who We Look For

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 Alto

The expected base pay range for this position in the location(s) listed above is $109,200.00 to $205,900.00 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 Tencent

As 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 & Tags

data

Aplyr's read

Tencent is a tech giant shaping digital landscapes with a diverse portfolio, attracting talent in gaming, AI, and internet services.
Synthesized from recent postings & public sources

What's promising

•Tencent's vast digital ecosystem offers diverse career paths in gaming, AI, and cloud services.
•Strong global presence provides opportunities for international career growth and collaboration.
•Investment in cutting-edge technology fosters innovation and skill development.

What to watch

•Regulatory scrutiny in China poses challenges for business operations and strategy.
•High competition in the tech sector may limit rapid career advancement.
•Complex organizational structure can lead to bureaucratic decision-making processes.

Why Tencent

•Tencent's WeChat platform integrates social, payment, and service functionalities uniquely.
•Pioneering investments in AI and gaming set it apart in tech innovation.
•Extensive partnerships and investments in global tech companies enhance its influence.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Tencent

Tencent

tencent.com

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Tencent is a Chinese multinational conglomerate holding company with subsidiaries in various internet-related services and products, entertainment, AI, and technology.