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.
RequirementsPosition Summary
Lead the engineering team building integrations, data pipelines, and the developer platform. This role focuses less on ML research and more on enterprise data infrastructure: enabling data ingestion, app connectivity, and marketplace functionality.
You'll own engineering for apps & core, data integrations, and marketplace. You'll manage a team of 10-20 engineers focused on integrations and platform, and deliver roadmap for external connectivity that lets enterprises plug Wand into their operations.
Responsibilities
- Build and scale a 20+ person engineering organization across European time zones (including UK and IL)
- Partner with product management to define and deliver roadmap
- Contribute to the overall product engineering leadership
- Drive engineering productivity across your teams
- Define and automate SDLC, leveraging modern approaches and tools
- Own culture and communication within your teams
- Build data ingestion pipelines for enterprise systems (Workday, Snowflake, NetSuite)
- Optimize for scale and enterprise reliability
Key Qualifications
- Experience building engineering organizations from the ground up — hiring, scaling and leading engineering orgs of 30+ people across multiple teams, over multiple years, in EMEA (EU/UK/IL).
- Integration background (ServiceNow, Zapier, data pipelines)
- Enterprise experience serving large customers with complex data
- Director-level experience with strong process and people management skills
- Proven experience building (not just maintaining) complex systems at scale
- Comfortable with high ownership and ambiguity in a fast-moving startup environment
- Familiar with security, compliance, and enterprise requirements
- Excited about using agents and automation
- 15+ years engineering experience with credibility across senior stakeholders
Preferred Experience
- Data engineering background (ingestion, ETL, Snowflake, APIs)
- Experience with developer platforms or marketplace infrastructure
- Background at companies serving enterprise customers with integration products
Personal Characteristics
- Strong execution focus with bias toward delivery
- Process-oriented with clear communication
- Comfortable with ambiguity and building new systems
- Team builder who can attract and retain talent
- Pragmatic approach to technical tradeoffs
Skills Required
- Experience building engineering organizations from the ground up
- Integration background (ServiceNow, Zapier, data pipelines)
- Director-level experience with strong process and people management skills
- 15+ years engineering experience with credibility across senior stakeholders
What We Do
Wand powers companies to build workforces that combine human professionals and AI agents into a single, powerful team. Our platform addresses the three major pillars needed for a true hybrid workforce: 1. Automation, where advanced agents operate autonomously. 2. Collaboration, which requires a shared workspace where humans and agents work together. 3. Evolution, where agents continuously learn, refine their intelligence, and adapt without human intervention. Designed for enterprise scale, Wand’s built-in governance and security features allow organizations to deploy AI with confidence. Stop building agents. Start building hybrid teams that drive greater efficiency, accuracy, and business impact. About the Company: Wand was founded in 2022 by Rotem Alaluf, and is headquartered in Silicon Valley. Backed by world-renowned entrepreneurs and leading U.S.-based venture capital firms, Wand boasts some of the brightest minds in AI, including talent from DeepMind, Google Brain, Microsoft Research, and other industry leaders. Our leadership team consists of seasoned executives experienced in building & bringing enterprise AI products to market.
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