Engineering Manager, Data Processing Engines

Workato; Lisbon (IA); On-site; USD 140,000 - 190,000; Full time

Job summary

Workato, a leading Control and Execution Platform for Enterprise AI, seeks an Engineering Manager to lead a strong team building core internal infrastructure and developer-facing systems. You will shape the roadmaps, manage performance, and ensure delivery across multiple streams.

You'll work closely with Product, Security, and QA to ship high-quality software while maintaining a culture of autonomy, ownership, and continuous improvement in a fast-paced AI-enabled environment.

Qualifications

• Significant software engineering experience with leadership responsibilities.
• Experience managing senior, autonomous engineers.
• Strong background in platform engineering or backend infra.
• Proven ability to own roadmaps and multi-quarter initiatives.
• Excellent stakeholder management and communication.
• Experience with CI/CD, tooling, and developer productivity.

Responsibilities

• Lead and develop a team of engineers with ownership of technical domains.
• Define product look and order with Product Managers and VP.
• Plan and execute across multiple workstreams; remove blockers.
• Balance new development with customer commitments and technical debt.
• Maintain engineering metrics and drive improvements.
• Collaborate on architecture reviews and incident investigations.

Skills

Software leadership

People management

System architecture

Cross-functional collaboration

Roadmap planning

Hiring and onboarding

Education

Bachelor's degree in CS or related field

Tools

CI/CD tooling

Git workflows

Rust

Go

Python

Job description

Workato, a leading Control and Execution Platform for Enterprise AI, seeks an Engineering Manager to lead a strong team building core internal infrastructure and developer-facing systems. You will shape the roadmaps, manage performance, and ensure delivery across multiple streams.

You'll work closely with Product, Security, and QA to ship high-quality software while maintaining a culture of autonomy, ownership, and continuous improvement in a fast-paced AI-enabled environment.