Senior Sales Engineer

Wand Synthesis AI Inc

12d

About The Position

Wand turns AI into labor, enabling humans and AI agents to operate together as a unified, hybrid workforce with comprehensive management and oversight. The company has built the world’s first Agentic Labor Infrastructure, allowing governments and global enterprises to create, manage, and scale digital workforces. Wand's mission is to integrate agent ecosystems into the core of work and business, driving a significant leap in the global economy by building infrastructure for safe, transparent, and scalable human-AI collaboration. Wand is seeking a founding Sales Engineer to spearhead the technical aspects of their go-to-market strategy and establish the customer engineering function. This role involves close collaboration with Sales, Product, and Engineering leadership to transform cutting-edge AI into tangible business outcomes for clients. It's a hands-on, strategic position for an individual who excels as a builder, storyteller, and strategist, acting as a player-coach, architect, and consultant. The Sales Engineer will engage directly with enterprise clients to translate complex business challenges into technically verifiable hypotheses, create concise proofs of concept and demonstrations, and facilitate the realization of early value from Wand’s platform. This is an opportunity to influence how enterprises adopt next-generation AI systems by automating work, solving complex problems, and setting the standard for process and culture.

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.

Nice To Haves

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, partnering with Sales and Product to architect high-impact solutions aligned with client goals, data realities, and Wand’s differentiators.
Design and deliver lightweight, believable prototypes showcasing Wand’s capabilities, from legal document parsing to agentic workflow automation.
Own the “Proof-to-Contract” motion, assisting clients in defining technical proof requirements (accuracy, scalability, adaptability) for commercial commitment.
Act as a consultative discovery partner, uncovering true customer needs beyond stated requests and transforming exploratory demos into contract-worthy hypotheses.
Build reusable demo systems and technical frameworks to accelerate the setup of environments, workflows, and customer dataset connections for future Sales Engineers.
Contribute Python scripts, API workflows, and reference architectures demonstrating 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 for demo readiness, proof scoping, and customer engineering rituals to build a repeatable SE function.
Represent Wand externally through workshops, client sessions, and conference demos, positioning Wand as a leading applied AI partner.