Sales Engineer - AI & ML Systems

About the role

Factored, founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, helps U.S. companies build and scale AI, ML and data teams using top LATAM talent. It is seeking a fully remote Sales Engineer with deep hands-on experience in AI engineering and machine learning system design to join its go-to-market team. You will partner with Account Executives across the full sales motion, lead technical discovery, design reference architectures live with prospects, scope engagements and turn ambiguous client problems into concrete solutions across data engineering, machine learning, data science, data analytics and AI engineering.

Key responsibilities

• Lead technical discovery calls with prospects, surfacing requirements, constraints and success criteria.
• Design and present ML, AI and data science architectures live, including RAG, agentic workflows, LLM evaluation pipelines, model serving and MLOps.
• Translate business problems into scoped engagements, define solution approaches, identify risks, size effort and shape statements of work with Account Executives.
• Act as the deal-side technical authority, defending architectural choices and pushing back on suboptimal designs.
• Build technical proposals, reference architectures and proof-of-concept plans; hand off won deals to delivery leadership with clear scope and assumptions.
• Maintain a library of reusable solution patterns, demos and reference implementations.
• Give structured feedback to product, delivery and marketing on what prospects want.
• Represent Factored externally at webinars, conferences and customer events.

Required profile

• 5+ years of professional engineering experience with a track record of increasing technical responsibility.
• 3+ years as a Senior Engineer in AI Engineering, Machine Learning Engineering, Data Engineering or an adjacent production-focused role.
• Demonstrable expertise in machine learning system design, able to whiteboard end-to-end systems and defend choices under scrutiny.
• Deep practical experience with GenAI/LLM systems: RAG, agentic patterns, evaluation frameworks, prompt and context engineering, fine-tuning and inference infrastructure.
• Fluent working knowledge of the data stack: batch and streaming pipelines, warehouses/lakehouses, feature stores and analytics workflows.
• Advanced English, strong client-facing instincts and structured thinking under time pressure.
• Nice to have: prior pre-sales or solutions architect experience, proposal writing, hands-on experience with major LLM providers and inference platforms, familiarity with GenAI evaluation tooling, domain depth in a vertical where Factored sells, public technical presence, US client experience across LATAM time zones and production experience deploying ML/AI systems.

What we offer

• Equity participation and ownership.
• Annual company retreat, company-wide winter break and paid time off.
• Educational bonus, optional in-person events and tailored career roadmaps.