Description

Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or a related technical field (or equivalent experience).

8+ years of experience

Demonstrated ability in product management, data platform leadership, or ML/AI-focused roles at a technology company

Strong understanding of LLM architecture, training regimes, and alignment methods (e.g. fine-tuning, RL, retrieval-augmented generation)

Consistent track record in running large-scale data projects or pipelines for machine learning applications

Deep familiarity with data-centric AI development, from collection to evaluation

Outstanding communication skills—ability to translate between research, engineering, and business collaborators

Proven ability to prioritize optimally and ship sophisticated cross-functional projects

 

Ways to stand out from the crowd:

Experience with GenAI data workflows: prompt engineering, synthetic data generation, human feedback systems

Prior work on LLM evaluation frameworks or benchmarks

Experience developing data quality, labeling, or annotation tools

Knowledge of data governance, privacy, or AI ethics standard processes

Exposure to enterprise ML use cases and multi-modal model development

Education

Bachelor's or Master's degrees