Engineering Manager - Data processing Engines

Berlin · Frankfurt · Munich · Remote · Posted Oct 2, 2026

At a glance

Workato 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. For more information, visit workato.com.

The Engineering Manager for Data Processing Engines will lead a team responsible for core internal infrastructure and developer-facing systems, including formula evaluation and data transformation.
This role balances project management, engineering leadership, and platform development, focusing on enabling a highly autonomous team of experienced engineers.
The position requires a strong technical background to facilitate architectural discussions and drive execution across complex, interconnected initiatives.

Manage and develop experienced engineers through 1:1s, feedback, performance management, and career development.
Define product direction and build priorities in collaboration with Product Managers and department VP.
Own planning and operational execution across multiple engineering workstreams.
Create visibility into priorities, dependencies, timelines, and resource allocation.
Turn broad technical direction into an executable roadmap.
Identify and remove blockers to ensure timely delivery.
Balance new development, customer commitments, operational work, and technical debt.
Define engineering metrics to identify opportunities for process improvement.
Plan release and update cycles while managing defect triaging and mitigation.
Collaborate with Quality Engineering and Product Security teams to implement shift-left security and quality scans.

Significant software engineering experience before or alongside engineering management.
Experience managing senior, autonomous engineers.
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.
Experience managing technical debt alongside product and business priorities.
Ability to understand complex technical discussions without needing to personally own every implementation decision.
Strong stakeholder management and cross-functional communication skills.
Experience hiring, coaching, and developing engineers.