Technical Program Manager, Multilingual AI Research

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Technical Program Manager, Multilingual AI Research Role

Claude is used by millions of people across the globe. Making it work exceptionally well for all of them, regardless of what language they speak, including low-resource and underserved languages, is one of the highest-impact opportunities at Anthropic. It’s how we expand Claude’s reach to non-English-speaking communities, nonprofits, schools, and organizations that stand to benefit the most. We’re looking for a Technical Program Manager, Multilingual AI Research to own this effort. You’ll be responsible for improving the quality and language coverage of Claude, and ensuring its responses are locally and culturally relevant. This means working across research, product engineering, beneficial deployments, and external partners to define what world-class multilingual performance looks like, build the programs and evaluation frameworks to get us there, and ship improvements that users worldwide can experience. This role is ideal for someone with deep NLP and linguistics expertise who is energized by the challenge of making AI genuinely useful for communities beyond well-resourced, English-dominant markets.

Responsibilities

• Own the end-to-end program for improving Claude’s multilingual capabilities, from identifying language-specific gaps through research execution to production.
• Partner with pre-training and post-training research teams on multilingual data strategies and training approaches to improve Claude’s performance across languages.
• Design and implement evaluation frameworks for multilingual model quality, including benchmarks for low-resource languages and regression testing across model updates.
• Coordinate multilingual dataset collection and curation, working with internal teams and external partners to build high-quality training and evaluation data across languages.
• Act as connective tissue between research, product engineering, and data infrastructure teams to reduce chaos and accelerate multilingual improvements.
• Manage strategic partnerships with external organizations for dataset acquisition, linguistic expertise, and multilingual evaluation, including technical scoping, data quality requirements, and integration workflows.

Ideal Candidate Profile

• Have a background in NLP, computational linguistics, or multilingual AI research.
• Have several years of experience in technical program management, with a track record of driving complex programs that span research and engineering teams.
• Can engage credibly with researchers on multilingual training data strategies, evaluation methodology, and model capability assessment. You’re not just tracking tasks, you’re contributing to technical direction.
• Have experience building evaluation pipelines and frameworks that give meaningful signal about model quality across languages, not just benchmark scores.
• Have worked with multilingual datasets at scale and understand annotation frameworks across languages, data quality challenges, and the operational complexity of sourcing data for languages with limited digital resources.
• Have experience coordinating with external data partners, linguistic consultants, or research institutions for dataset creation or evaluation across languages.
• Understand how research improvements translate into shipped product features and can work across research and product engineering to move multilingual capabilities from prototype to production.
• Build trust quickly with research teams. Researchers see you as someone who amplifies their impact, not someone who adds process overhead.
• Bonus if you speak multiple languages and have seen firsthand how language technology performs across them.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Key skills/competency

• NLP
• Computational Linguistics
• Multilingual AI
• Technical Program Management
• Evaluation Frameworks
• Data Curation
• Strategic Partnerships
• Model Quality Assessment
• Research Execution
• Product Engineering