Sales Engineer

📋 Description Lead technical discovery calls with prospects across data engineering, ML, analytics, and AI Design and present ML/AI system architectures live with clients — including RAG, agentic workflows Translate business problems into scoped engagements: define approaches, risks, effort, and Serve as the deal-side technical authority, defending architectural choices and pushing back on Build technical proposals, reference architectures, and PoC plans to win deals and enable delivery. Partner with delivery leadership to ensure smooth handoffs and technical context transfer. Qualifications 5+ years of total professional engineering experience with increasing technical responsibility. 3+ years hands-on as a Senior Engineer in AI/ML/Data Engineering or related production-focused role. Demonstrable expertise in machine learning system design and end-to-end ML/AI systems. Deep practical experience with GenAI/LLM systems, RAG architectures, evaluation frameworks, and Broad fluency across the data stack: pipelines, warehouses/lakehouses, feature stores, and Advanced English proficiency with strong written and verbal communication for executive 🎁 Benefits Ownership through equity participation. Annual company retreat and education bonus for continuous learning. Paid time off and optional in-person events. Tailored career roadmaps and high-performance culture.