Head of Engineering, Integrations and Marketplace

Description

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.

Requirements

Position 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