Senior Sales Engineer
Build the Future Workforce
Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it’s already operating at scale inside some of the world’s largest organizations.
Wand built the world’s first Agentic Labor Infrastructure enabling governments and global enterprises to create, manage, and scale digital workforces.
Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy. We’re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale.
Join Wand in leading the Agentic Shift
Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more- always with a focus on delivering real value to customers.
You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern.
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.
This is both a hands-on and strategic role for a builder, storyteller, and strategist: part player-coach, part architect, and part consultant. You’ll work directly with enterprise clients to translate messy business problems into technically provable hypotheses, design lightweight proofs and demos, and help them realize early value from Wand’s platform.
If you are energized by helping people automate work, love solving hard problems hands-on, and can set the tone for process and culture, this is your opportunity to shape how enterprises adopt the next generation of AI systems.
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.
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). 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.