Sales Engineer

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Lead technical discovery discussions with potential clients, uncovering requirements, limitations, and success metrics across use cases in data engineering, machine learning, data science, analytics, and AI engineering.

• Design and demonstrate ML, AI, and Data Science system architectures in real-time with clients, including retrieval-augmented generation (RAG), agentic workflows, LLM evaluation pipelines, model serving infrastructure, and comprehensive MLOps.

• Convert vague business challenges into defined, actionable projects by outlining solution strategies, identifying risks, estimating efforts, and crafting statements of work alongside Account Executives.

• Act as the technical authority on deals, justifying architectural decisions and questioning suboptimal designs.

• Create technical proposals, reference architectures, and plans for proof-of-concept projects.

• Collaborate with delivery leadership to transition won deals, ensuring accurate transfer of scope, assumptions, and technical context.

• Develop and sustain reusable solution patterns, demonstrations, and reference implementations.

• Remain updated on the AI/ML landscape and utilize that knowledge in discussions with clients.

• Provide insights to product, delivery, and marketing teams regarding prospect needs and enhancements to offerings.

• Represent Factored externally through webinars, technical content, conference interactions, and selected customer events.

⛳️ Requirements

• 5+ years of overall professional engineering experience, showcasing a proven record of growing technical responsibility and scope.

• 3+ years of hands-on experience as a Senior Engineer in AI Engineering, Machine Learning Engineering, Data Engineering, or a related production-oriented role.

• Proven expertise in machine learning system design: ability to collaboratively design end-to-end ML/AI systems live, analyze trade-offs (latency, cost, accuracy, maintainability), and defend decisions under technical scrutiny.

• Extensive practical knowledge of GenAI/LLM systems: RAG architectures, agentic patterns, evaluation frameworks, prompt and context engineering, fine-tuning techniques, and inference infrastructure.

• Proficient understanding of the broader data stack: data engineering pipelines (both batch and streaming), warehouses/lakehouses, feature stores, and analytics workflows — sufficient to credibly scope work beyond pure AI/ML.

• Advanced proficiency in English, with outstanding written and verbal communication skills — capable of engaging effectively with both senior technical stakeholders and executive buyers.

• Strong client-facing abilities: comfortable in presentations, adept at identifying the real issues beneath stated problems, and transforming ambiguity into a concrete plan of action.

• Proven ability to execute in fast-paced, ambiguous settings — takes ownership of outcomes from start to finish without requiring close supervision.

• Structured thinking under pressure: capable of breaking down an unclear client issue into a well-defined architecture during a 60-minute call.

🏝️ Benefits

• Ownership through equity participation.

• Annual company retreat.

• Education bonus for ongoing learning.

• Company-wide winter break.

• Paid time off.

• Optional in-person events and meetups.

• Customized career roadmaps.

• High-performance culture.