
Senior Sales Engineer
Posted Jul 28

Posted Jul 28
This is a fully remote position, open to applicants in United States.
• Spearhead technical pre-sales initiatives — collaborate with Sales and Product teams to design impactful solutions that meet client objectives, data realities, and Wand’s unique advantages.
• Create and present lightweight, convincing prototypes that demonstrate Wand’s distinctive capabilities — ranging from legal document parsing to automated workflow management.
• Take ownership of the “Proof-to-Contract” process — assist clients in determining the technical aspects that need validation (accuracy, scalability, adaptability) to support commercial agreements.
• Serve as a consultative discovery partner — identify the true needs of customers beyond their expressed requests.
• Develop reusable demo systems and technical frameworks that streamline the process for the next Sales Engineer to set up an environment, execute a workflow, or link a customer dataset.
• Contribute Python scripts, API workflows, and reference architectures that exemplify best practices for integrating Wand into client ecosystems.
• Mentor and expand a small, high-performing Sales Engineering team — setting standards for demo quality, engagement discipline, and technical storytelling.
• Work collaboratively with Product and Engineering teams to translate field feedback into roadmap priorities and product enablement.
• Create and document playbooks — establishing the groundwork for a repeatable Sales Engineering function.
• Serve as Wand's representative externally — conduct workshops, client sessions, and conference demonstrations that position Wand as the leading, credible applied AI partner in the market.
• Over 7 years of experience in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting.
• Proven track record in leading consultative solution cycles (e.g., custom integrations, professional services, or enterprise prototypes).
• Demonstrated experience in guiding strategic POCs, RFPs, or enterprise onboarding processes.
• Profound understanding of AI/ML systems and integration patterns.
• Proficient in Python, engaging with APIs, and orchestrating agents.
• Exceptional communication skills for both technical deep-dives and executive-level storytelling scenarios.
• History of building scalable demo systems, reusable solution assets, and effective pre-sales processes.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field of practical experience.
• Health insurance
• Competitive salary
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