Engineering Manager - Data processing Engines

Tbilisi · Berlin · 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.

Workato is seeking a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems, specifically focusing on evaluation engines and data processing engines.
This role sits at the intersection of project management, engineering leadership, and platform development, helping experienced engineers work effectively together and deliver foundational components.
The position requires a strong technical background to participate in technical discussions, review designs, and understand engineering trade-offs while enabling autonomous senior and staff-level engineers.

Manage and develop experienced engineers with significant ownership of their technical domains, including regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health.
Work closely with Product Managers and department VP to define product direction, feature sets, and execution priorities.
Collaborate with Quality Engineering and Product Security teams to deliver high-quality products while leveraging new tools to shift quality and security scans left.
Own planning and operational execution across multiple engineering workstreams, creating visibility into priorities, dependencies, timelines, and resource allocation.
Turn broad technical direction into an executable roadmap, identify and remove blockers, and balance new development, customer commitments, operational work, and technical debt.
Define meaningful engineering metrics and use them to identify opportunities for improvement while keeping stakeholders informed about progress, risks, and trade-offs.
Plan release and update cycles of the product, maintain the product, and oversee defect triaging and mitigation.
Participate in technical discussions, review designs and architecture proposals, understand engineering trade-offs, and challenge assumptions when needed.
Depending on background and interests, review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development.

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.
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.