Wand AI
Artificial Intelligence • B2B • SaaS
Wand AI is the only platform for management, execution, and creation of AI agents, integrating them as trusted members of the workforce. It powers dynamic teams of humans and AI agents to deliver scalable outcomes through a complete operating system designed for hybrid workforces. Wand's agents continuously learn and adapt to business operations while providing autonomous capabilities, multi-agent orchestration, and enterprise data connectivity to optimize team performance and collaboration.
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Sales Engineering Manager
Job not on LinkedIn
October 15
Wand AI
Artificial Intelligence • B2B • SaaS
Wand AI is the only platform for management, execution, and creation of AI agents, integrating them as trusted members of the workforce. It powers dynamic teams of humans and AI agents to deliver scalable outcomes through a complete operating system designed for hybrid workforces. Wand's agents continuously learn and adapt to business operations while providing autonomous capabilities, multi-agent orchestration, and enterprise data connectivity to optimize team performance and collaboration.
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
📋 Description
• Lead technical pre-sales engagements • Partner with Sales and Product to architect high-impact solutions • Design and deliver lightweight, believable prototypes • Own the “Proof-to-Contract” motion • Act as a consultative discovery partner • Build reusable demo systems and technical frameworks • Contribute Python scripts, API workflows, and reference architectures • Mentor and scale a small, high-performing team of Sales Engineers • Collaborate cross-functionally with Product and Engineering • Develop and document playbooks • Represent Wand externally
🎯 Requirements
• 7+ years in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting • At least 2 years in a leadership, principal or founding capacity • Experience leading consultative solution cycles • 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 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
• Flexible work arrangements • Professional development
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