Sales Engineer
3 hours ago
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Space Executive Our client is a market leader in AI & agent engineering observability and evaluation platform, and have proven track records in empowering global enterprises to build, test, and scale AI confidently. Backed by over $135m in Series C funding, our client is shaping the future of AI observability. About the role As they embark on their Asia growth story, they are now looking for a solutions engineer who thrives at the intersection of technology and sales, someone who speaks both the language of engineers and business. Working hand-in-hand with their enterprise customers and global sales team, your responsibilities will include: Partnering with enterprise AI and ML teams to understand their goals and design tailored solutions using their platform. Delivering compelling product demos that clearly articulate technical and business value. Leading proof-of-concepts (POCs) and solution workshops that help clients experience their solutions firsthand. Act as a trusted technical advisor, guiding customers on best practices for ML, GenAI, and observability. Collaborate cross-functionally with sales, product, and engineering teams to drive expansion opportunities and influence roadmap direction. Qualifications You should ideally have a background in data science, machine learning, or solutions engineering in the area of ML/GenAI , and experienced in customer-facing technical roles (Sales Engineer, Solutions Architect, or Consultant). Strong grasp of ML/LLM frameworks (TensorFlow, PyTorch, Scikit-learn, LangGraph, LlamaIndex, DSPy). Solid understanding of cloud environments (AWS, Azure, GCP). Excellent communication skills — you are able to simplify technical concepts and engage confidently with both technical and executive stakeholders. A consultative mindset — you listen first, then design solutions that align technical fit with business impact. Technically, you should have prior experience demoing or implementing AI/ML platforms, and some exposure to Kubernetes and scalable production systems. If you are looking to be part of a fast-growing company that is shaping how the world’s most advanced AI teams measure, manage, and scale their impact, and build the future of AI reliability together, write to us for a confidential discussion. Seniority level Mid-Senior level Employment type Full-time Job function Sales, Engineering, and Other Industries Technology, Information and Media and Information Services #J-18808-Ljbffr
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