Head of Field Engineering
Oumi
full-time
Posted on:
Location Type: Hybrid
Location: Seattle • California • New York • United States
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Job Level
Tech Stack
About the role
- 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.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
applied machine learningmachine learning infrastructuresolutions engineeringsales engineeringfield engineeringPythonmodel training frameworksfoundation modelsLLMsmultimodal systems
Soft Skills
leadershipcommunicationcustomer engagementstrategic thinkingproblem-solvingcross-functional executionprioritizationmentoringteam buildingadaptability