Engineering Manager, ChatBots – AI

Job not on LinkedIn

🔥 1 hour ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 12%

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Workato

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📦 Logistics

📣 Marketing

💰 $200M Series E on 2021-11

Consulting • Logistics • Marketing

Workato is a leading provider of integration and automation platforms that power up organizations by orchestrating their data, apps, and business processes. As the number one integration Platform as a Service (iPaaS), Workato focuses on providing AI-powered automations to enhance business efficiency at scale. Its platform utilizes a low-code approach for app and data orchestration, offering solutions like API management, process insights, and enterprise-level security. Workato supports various functions such as IT, HR, finance, marketing, and operations, and is trusted by large enterprises for transforming and automating workflows securely and efficiently. It offers over 1200 pre-built connectors and supports a cloud-native infrastructure with elastic scalability. Known for its contributions to enterprise-level integration and automation, Workato empowers organizations to boost innovation and transform business operations.

📋 Description

• Lead the ChatBots and AI team within Workato’s Platform organization • Partner with Product Managers and stakeholders to scope projects, set timelines, and define success criteria • Plan and track execution across quarters and sprints • Deliver projects on schedule without compromising quality • Identify and resolve blockers, escalating when appropriate • Balance feature work with AI-SDLC, CI/CD, platform upgrades, and technical debt • Manage, mentor, and grow Senior and Staff engineers • Own hiring, onboarding, and performance management • Design and evolve processes for a distributed, asynchronous environment • Apply AI tooling to team workflows • Participate in architecture and design decisions • Make trade-off decisions on scope, approach, and sequencing • Allocate team capacity based on system understanding and business priorities • Keep leadership informed about progress, risks, and blockers • Build relationships with engineering and product leads • Represent team priorities and constraints in cross-team planning

🎯 Requirements

• 5+ years managing engineering teams, including Senior and Staff-level individual contributors • Senior engineer-level technical depth, including ability to read code, challenge designs, and participate in architecture discussions • Hands-on backend engineering background • Experience with Ruby, Go, or comparable languages and distributed systems • Demonstrated ability to operate under ambiguity and make decisions with incomplete information • Track record of shipping complex software on schedule in a fast-moving environment • Experience managing a fully remote, distributed team across multiple time zones • Strong written communication • Nice to have: experience building AI-powered products, including agents, LLM pipelines, or orchestration systems • Nice to have: background in platform, integration, or developer-facing infrastructure • Nice to have: experience scaling a team through rapid growth • Nice to have: familiarity with enterprise SaaS or automation platforms

🏖️ Benefits

• Flexible, trust-oriented culture • Vibrant and dynamic work environment • Benefits offered to employees (specific benefits not detailed)

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