Wand Synthesis AI Inc - Senior Sales Engineer
Requirements
• 7+ years in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting, with at least 2 years in a leadership, principal or founding capacity. • Experience leading consultative solution cycles (e.g., custom integrations, professional services, or enterprise prototypes). Experience translating unstructured customer goals into working demos and technical success criteria. • Demonstrated experience leading strategic POCs, RFPs, or enterprise onboarding. Ability to design and execute technical proofs or pilots — from hypothesis to customer validation — in complex enterprise environments. • Deep understanding of AI/ML systems and integration patterns. Proficiency in Python, interacting with APIs, and agent orchestration. • Ability to communicate compellingly in both technical deep-dives and executive-level storytelling situations. Ability to anticipate client needs and translate technical complexity into clear business narratives. • Track record of building scalable demo systems, reusable solution assets, and pre-sales processes. • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience. • Personal Characteristics: • Builder-Consultant Hybrid: Loves writing Python as much as leading discovery calls. • Disciplined Storyteller: Knows every demo is a hypothesis, not a feature tour. • Customer-Centric Engineer: Energized by ambiguous problems and finding the shortest credible path to value. • System Thinker: Sees connections between pre-sales, product feedback, and customer outcomes. • Leader by Example: willing to prototype, document, and teach. • Energized by Complexity: thrives on hard technical problems and skeptical audiences.
Responsibilities
• Lead technical pre-sales engagements — partner with Sales and Product to architect high-impact solutions that align with client goals, data realities, and Wand’s differentiators. • Design and deliver lightweight, believable prototypes that prove Wand’s unique capabilities — from legal document parsing to agentic workflow automation. • Own the “Proof-to-Contract” motion — help clients define what must be proven technically (accuracy, scalability, adaptability) to justify commercial commitment. • Act as a consultative discovery partner — uncover what customers really need, not just what they ask for, and reframe “fishing expedition” demos into contract-worthy hypotheses. • Build reusable demo systems and technical frameworks that make it faster for the next SE to spin up an environment, run a workflow, or connect a customer dataset. • Contribute Python scripts, API workflows, and reference architectures that showcase best practices for integrating Wand into client ecosystems. • Mentor and scale a small, high-performing team of Sales Engineers — establishing standards for demo quality, engagement discipline, and technical storytelling. • Collaborate cross-functionally with Product and Engineering to channel field feedback into roadmap priorities and product enablement. • Develop and document playbooks — from demo readiness and proof scoping to customer engineering rituals — building the foundation for a repeatable SE function. • Represent Wand externally — lead workshops, client sessions, and conference demos that position Wand as the most capable, credible applied AI partner in the market.
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