Head of Field Engineering
Hybrid (Bellevue, WA), Hybrid (San Francisco, CA), Hybrid (New York, NY)Full-timePosted 6mo ago
About the role
Lead the customer-facing technical function to bridge Oumi’s platform, product, and research with customer outcomes. Own strategy and execution for field engineering across the customer lifecycle, from technical discovery and solution design through proof of concept, deployment, onboarding, and expansion.
Responsibilities
- 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 Product, Research, and Engineering to influence roadmap, prioritization, and platform improvements.
- Establish repeatable playbooks: Develop technical demos, implementation patterns, enablement materials, and best practices for customers and internal teams.
- Represent Oumi externally: Act as a senior technical ambassador in customer meetings, executive conversations, strategic accounts, and community or partner engagements.
Qualifications
- Total experience: 5+ years across applied machine learning, ML infrastructure, solutions engineering, sales engineering, forward-deployed engineering, field engineering, or related customer-facing technical roles.
- Leadership experience (preferred, not required): 2+ years leading teams or managing senior individual contributors in relevant customer-facing technical organizations.
- Customer-facing leadership: strong track record of leading complex enterprise engagements and communicating with both technical practitioners and executives.
- Applied AI and ML expertise: deep understanding of modern ML workflows, hands-on experience training, fine-tuning, evaluating, or deploying foundation models (LLMs, multimodal, etc.).
- Technical depth: proficient in Python with practical experience in AI/LLM systems, model training frameworks, and production use cases (RAG, agents, agentic systems).
- GTM partnership: experience partnering with Sales and customer success to shape strategy and improve adoption.
- Builder mindset: ability to build a function from the ground up, define processes in ambiguity, and scale.
- Operational excellence: thrive in fast-changing environments, prioritize well, drive cross-functional execution end-to-end.
- Values: Beneficial for All, Customer-Obsessed, Radical Ownership, Exceptional Teammates, Science-Grounded.
Skills
Required:Lead cross-functional field engineering functionTechnical customer engagementApplied AI and MLPython
Benefits
- Equity in a high-growth startup
- Comprehensive health, dental, and vision insurance
- 21 days PTO
- Regular team offsites and events
Last updated Jul 30, 2026. Interested? Apply on the company site.
About Oumi
Build custom AI in hours not months
Building truly open, reliable frontier AI.
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