Head of Field Engineering

Role Overview

• Build and lead the field engineering function: Define the vision, operating model, and roadmap for Oumi’s field engineering organization, including hiring, mentoring, and scaling a high-performing team.
• Own technical customer engagement: Partner with customers across the pre-sales and post-sales lifecycle, from technical qualification and solution architecture to proofs of concept, deployment, and long-term success.
• Lead applied AI work: Guide customers in designing, training, and deploying custom models using Oumi’s platform, including data preparation, model training, fine-tuning, evaluation, and production deployment.
• Partner closely with Sales: Serve as a strategic technical partner to GTM leadership, helping shape deal strategy, remove technical blockers, and improve conversion, expansion, and customer satisfaction.
• Translate customer needs into product direction: Build strong feedback loops between customers and Oumi’s Product, Research, and Engineering teams to influence roadmap, prioritization, and platform improvements.
• Establish repeatable playbooks: Develop the technical demos, implementation patterns, enablement materials, and best practices that help both customers and internal teams succeed.
• Represent Oumi externally: Act as a senior technical ambassador in customer meetings, executive conversations, strategic accounts, and community or partner engagements.

Requirements

• 5+ years of experience across applied machine learning, machine learning infrastructure, solutions engineering, sales engineering, forward-deployed engineering, field engineering, or related customer-facing technical roles.
• 2+ years of experience leading teams or managing senior individual contributors in customer-facing technical organizations such as sales engineering, solutions architecture, applied AI, forward-deployed engineering, or field engineering.
• Strong track record of leading complex enterprise customer engagements and communicating effectively with both technical practitioners and executive stakeholders.
• Deep understanding of modern machine learning workflows, with hands-on experience training, fine-tuning, evaluating, or deploying foundation models such as LLMs, multimodal systems, or other advanced AI models.
• Proficient in Python and have strong practical experience with modern AI/LLM systems, model training frameworks, and production use cases such as RAG, agents, or agentic systems.
• Experience partnering closely with Sales and customer success functions to shape technical strategy, support strategic deals, and improve customer adoption.
• Excited to build a function from the ground up, define processes in ambiguity, and scale what works.
• Can operate effectively in fast-changing environments, prioritize well, and drive cross-functional execution end to end.
• Embody Oumi’s core values: Beneficial for All, Customer-Obsessed, Radical Ownership, Exceptional Teammates, Science-Grounded.

Tech Stack

• Python

Benefits