Forward Deployed Engineering Manager

Required Skills & Experience

Strong AI/ML technical background, ideally having personally built or delivered ML/AI products. 1+ years of people management or comparable technical team leadership. Technical depth to coach engineers, review solutions, and stay close to hands-on work. Experience working with technical customers or external stakeholders and translating requirements into solutions. Strong resource planning, including matching engineers to projects based on skills and technical needs. High agency and ownership. Must thrive without a defined roadmap and proactively develop new solutions. Able to work 4 days/week onsite in the San Francisco Bay Area.

Nice to Have Skills & Experience

Plusses Forward Deployed Engineering experience. Applied AI, Generative AI, LLM, or advanced ML experience. Background at Palantir, Databricks, Scale AI, C3 AI, Snorkel AI, or similar technical environments. Experience supporting sophisticated AI/ML customers. Staff/Principal ML Engineer to Engineering Manager career progression. 0-to-1 AI product or solution development. Experience hiring, performance managing, and developing technical teams. Experience proposing new technical solutions directly to customers.

Job Description

Day-to-Day Manage a team of approximately 4 to 5 AI/ML engineers. Roughly 50% technical oversight/coaching, 25% people leadership, and 25% customer interaction. Stay close to technical projects and provide hands-on guidance when needed. Meet with customers to understand requirements and propose technical solutions. Assign the right engineers to projects based on technical needs and individual strengths. Coach and develop engineers through 1:1s, feedback, and career development. Partner with internal research, program, and account teams to deliver AI solutions. Proactively identify new AI solutions that could benefit existing customers. Help build processes and playbooks as the team scales. Technical AI/ML Engineering Manager leading 4 to 5 engineers. Needs ML technical depth, 1+ years management, customer-facing experience, resource planning, and strong ownership. Remains close to hands-on technical work while coaching engineers and driving technical customer solutions.