Product Manager (Data & Models)

Designing data strategy and model integration for creating efficient data pipelines, evaluation frameworks, and annotation systems to maintain high-performance LLMs. Responsible for ensuring data quality standards and implementing bias mitigation and privacy-preserving techniques.

Defining the product's core model roadmaps, taking into account technical feasibility, user needs, and ethical considerations. Collaboration with researchers to incorporate experimental breakthroughs into deployable features.

Partnering with Engineering and Research teams to ensure model development aligns with product goals and advocating for transparency in model decision-making to build user trust.

Analyzing usage patterns from open-source communities (Discord, Reddit, GitHub) to refine model behavior and address real-world edge cases, contributing to community-driven model evolution.

Setting performance benchmarks, cost efficiency, and resource utilization standards for model scalability and reliability.

Strong Technical Skills: Experience with shipping production-grade LLMs or working with modern AI stacks such as PyTorch or TensorFlow. Familiarity with model deployment, quantization, and hardware constraints is important.

Proficient in Data Management: Ability to design data strategies for training, evaluation, and A/B testing. Skilled in SQL, Python, and using tools like DVC, Weights & Biases, or Neptune.

Advocate for Bias and Privacy: Previous experience in implementing ethical AI practices, such as differential privacy and fairness auditing, in real-world systems.

Global Collaboration: Has the ability to collaborate across time zones and cultures, representing community values on a global scale.

Join an exceptional research team to work on significant and impactful projects

Take charge of and influence the primary training code infrastructure utilized by the team

Engage with actual models, real data, and substantial scale challenges, not small-scale problems

Contribute to bridging the gap between research speed and engineering excellence

Enjoy a flexible work setting with a culture that treasures depth, transparency, and inquisitiveness

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666