Senior Sales Engineer
Wand AI · Palo Alto, CA · 1 mo ago
RemoteRemoteBusiness DevelopmentFull-time
Position Summary
We're looking for a founding Sales Engineer to lead the technical side of our go-to-market efforts and help build the discipline of customer engineering from the ground up. Working closely with Sales, Product, and Engineering leadership, you'll ensure that every engagement turns cutting-edge AI into measurable business outcomes.
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.
- 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.
Key Qualifications
- 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).
- 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.
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.