Principal Tech Lead Manager - VLM/LLM for Large Scale Data Mining
MotionalFull Time
Senior (5 to 8 years)
The ideal candidate is a hands-on data science leader with experience working with LLMs in production and a deep understanding of their quirks, edge cases, and data needs. They should have a strong grasp of building and tuning eval systems for agents, prompts, and pipelines where ground truth is often fuzzy. Experience defining success metrics, building dashboards or analytics infrastructure, and collaborating with engineering and product teams is essential. Familiarity with fast-paced startup environments and the ability to find signal in noisy, high-dimensional data are also required.
The Data Science Lead will spearhead the design, experimentation, and optimization of an LLM-driven platform, owning the modeling strategy and experimentation culture. Responsibilities include defining and scaling the approach to data, experimentation, and model-driven development, leading the development of performance evaluation frameworks, informing data pipelines, and driving insights from AI trace behavior and customer usage patterns. They will own experimentation strategy for LLM-powered agents, build and refine frameworks for analyzing AI trace behavior, define key performance indicators (KPIs), collaborate with engineers and product leaders on data collection and utilization, make principled decisions around data context and grounding, partner with domain experts and UX teams, build dashboards and reporting tools, stay abreast of emerging LLM trends, and drive a culture of fast, rigorous experimentation.
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