Forward Deployed Engineer

• Act as a trusted consultative partner to clients by defining requirements, clarifying success criteria, shaping high-quality annotation guidelines, and proactively providing insights.
• Influence the what and the why behind GenAI data solutions by translating ambiguous client needs into clear, scalable workflows.
• Deliver GenAI datasets that meet all defined acceptance and quality criteria.
• Define the validation and automation requirements that reduce variance, manual review effort, rework, and time to validation.
• Partner with engineering to build requirements as scalable, reproducible, and observable pipelines.
• Contribute reusable quality frameworks and validators adopted across multiple projects.

• 3+ years of experience in a customer-facing technical role such as solutions engineering, solutions architect, data or technical consulting, or data operations.
• Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field, or equivalent practical experience. 
• Experience working on GenAI, machine learning, or model evaluation data, including LLM training, annotation, or evaluation workflows.
• A consultative problem-solving approach when leading client conversations, asking sharp questions, and guiding stakeholders toward better decisions.
• Ability to vibe code but proficiency in Python and SQL is a plus
• Confidence in working directly with client engineering or machine learning teams.

This is a hybrid role based in San Francisco, CA. You will be required to work from our San Francisco office two days per week.