About WorkatoWorkato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer.

Business

Insider named us an "enterprise startup to bet your career on"Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the worldDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North AmericaQuartz ranked us the #1 best company for remote workersResponsibilitiesWe are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools.

Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area.



What You'll DoLead a strong engineering teamYou will manage and develop experienced engineers with significant ownership of their technical domains.

The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM.You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. You will be responsible for team capacity planning and hiring when needed. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products.

At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and executionThe team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. Own planning and operational execution across multiple engineering workstreams.

Define meaningful engineering metrics and use them to identify opportunities for improvement. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed.

Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation,



or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively.

Significant software engineering experience before or alongside engineering management.

Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems.

Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms.

Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices.

A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general.

Golang or Rust; Basic understanding of formal grammar, AST, compiler frontends. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure.

📌 Engineering Manager - Data processing Engines (Barcelona)
🏢 Workato
📍 Barcelona