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Presales Engineer
- Partner with Account Executives to conduct discovery calls, identifying client technical requirements, pain points, and business objectives.
- Deliver high-impact technical presentations and product demonstrations tailored to various audiences, from Data Scientists to C-level executives.
- Design high-level solution architectures that demonstrate how Synapse products will integrate with the client’s existing stack (Cloud, On-Premise, or Hybrid).
- Lead the scoping, execution, and presentation of Proof of Concepts (POCs) to demonstrate value and technical feasibility.
- Respond to technical sections of RFPs (Request for Proposals) and RFIs, ensuring accurate and compliant answers regarding security, architecture, and scalability.
- Act as the "voice of the customer" back to the Product and Engineering teams, providing feedback on feature requests and market trends.
- Address technical objections regarding security, deployment models (Docker/Kubernetes), and model performance capabilities.
- Visit client premises for critical pitches, workshops, and technical deep-dive sessions.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 2+ years of experience in a technical role (Software Engineering, Data Science, DevOps) or as a Solutions/Sales Engineer.
- Strong understanding of the Machine Learning lifecycle and familiarity with Python/Data Science concepts.
- Solid understanding of Enterprise Infrastructure (Cloud vs. On-Premise, Docker, Kubernetes) and networking fundamentals.
- Ability to explain complex technical concepts (e.g., how an AI model is served via API) to non-technical stakeholders.
- Experience with Python and SQL to build custom demos or manipulate data during POCs.
- Excellent presentation and public speaking skills.
- Ability to think on your feet and troubleshoot technical issues during live demonstrations.
- Willingness and ability to visit client sites for meetings and workshops.
- Knowledge of enterprise security standards (LDAP, SSO, Encryption) is a strong plus.
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