Partnership Development Analyst - AI Data and Safety

Team overview

The AI Data and Safety function supports the continued improvement of Seed foundation models across multiple modalities and helps strengthen AI-native products built on the Seed model family. The team works throughout the full data lifecycle: shaping evaluation methods, converting user feedback and benchmark results into concrete data needs, and creating scalable workflows that raise data quality and speed up model iteration.

This group blends technical and operational strengths, drawing on experience from product management, data engineering, and data operations. The work suits people who think carefully about model behavior, can move quickly when facing complex issues, and understand models and agents from both builder and user perspectives.

In collaboration with Seed researchers, subject matter experts, and major data vendors, the team addresses difficult data challenges at the leading edge of AI development and helps improve both model quality and user experience.

The External Partnership Development team within AI Data & Safety focuses on continuously identifying dependable, high-quality data suppliers for foundation models and AI-native applications. Based on model-training needs, the team researches the market and manages the full supplier journey, including sourcing, evaluation, commercial negotiations, project kickoff, and final delivery. By meeting data needs efficiently and developing a strong supplier network, the team ensures a stable, high-quality data base for ongoing model improvement.

Key responsibilities

The role centers on researching the AI training data market, developing supplier resources, and managing supplier relationships from onboarding through delivery and performance review.

• Work with model training teams to understand business priorities, define data categories, standards, and core needs, and run structured research on the AI data market, industry landscape, and emerging technologies.
• Turn market findings into sourcing strategies by finding and engaging startups and established data providers, building screening and evaluation methods, and expanding the supplier base with high-quality partners.
• Analyze market, supplier, and industry data to produce clear insights and reports that support decisions in model training, procurement, and broader business planning.
• Track new data sources and partnership opportunities over time, maintain strong market connections, and keep access to future-facing, high-quality data channels.
• Own supplier onboarding by handling evaluation, qualification checks, and capability validation so partners align with delivery expectations and internal processes.
• Run supplier commercial work end to end, including negotiation, drafting terms, cost management, and compliance review, while improving commercial outcomes and maintaining compliant partnerships.
• Coordinate delivery across internal and external stakeholders, clarify requirements when they are not fully defined, manage expectations, and keep data delivery on schedule and to quality standards.
• Build long-term supplier relationships, review performance and service quality regularly, improve supplier management processes, and use data analysis to strengthen collaboration and overall value.

Qualifications

A bachelor’s degree or higher is expected in Marketing, Business Management, Data Analytics, Artificial Intelligence, Computer Science, or a related discipline. Candidates with relevant internship or project experience in AI data may also be considered.

At least 2 years of experience is required in AI data services, data sourcing, supplier or vendor management, or business development.

The role calls for strong strategic and analytical thinking, including the ability to independently research markets, synthesize insights, and solve complex problems.

Applicants should have a proven track record in supplier sourcing and channel development, plus solid business judgment and the ability to match high-quality resources to business needs.

Excellent communication, negotiation, and stakeholder management skills are essential, along with the ability to work effectively through complex and ambiguous situations involving multiple parties.

Basic project management ability is needed to plan, execute, and monitor supplier onboarding and delivery, with attention to timelines, quality, and risk control. Strong data analysis and reporting skills are also important for drawing conclusions and improving processes.

The ideal candidate is agile, detail-focused, execution-oriented, resilient in a demanding environment, and collaborative in approach.

Preferred background

Familiarity with AI training data markets, data categories, and supplier ecosystems is preferred. Experience with well-known AI data companies will be viewed positively.

About Seed

Seed, launched in 2023, is focused on advancing the path toward artificial general intelligence. The team aims to push the boundaries of intelligence in ways that benefit both technology and society.

Its long-term research agenda covers MLLM, GenMedia, AI for Science, and Robotics. With labs and career opportunities across China, Singapore, and the United States, the team has introduced leading foundation models and advanced multimodal capabilities. Its technology supports more than 50 application scenarios, including Doubao, Jimeng, TRAE, Dola, and Dreamnia, and also serves enterprise clients through Volcano Engine and BytePlus. Third-party data indicates that the Doubao app leads the Chinese market by user volume, and Doubao foundation models are also ahead in average daily token consumption.

Why people choose ByteDance

ByteDance is built around inspiring creativity and helping people express themselves, discover others, and connect in authentic ways. Its global teams work together to create value for communities, support creativity, and enrich everyday life.

The company values curiosity, humility, and impact, and encourages an iterative,