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
Bachelor's or Master's degrees