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.
Requirements
7+ years in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting with at least 2 years in a leadership position
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.
Benefits
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development
Stock options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonAPI workflowsagent orchestrationtechnical proofsenterprise prototypescustom integrationsscalable demo systemsproof of concept (POC)request for proposal (RFP)enterprise onboarding