Engineering Manager, ChatBots and AI
workato is hiring for the position of Engineering Manager, ChatBots and AI in Berlin; Frankfurt; Munich, Germany. It is listed as a full-time, management position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
workato is hiring for the position of Engineering Manager, ChatBots and AI in Berlin; Frankfurt; Munich, Germany. It is listed as a full-time, management position.
Skills and tools named in the text include Ruby, LLM and SaaS.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to Germany for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 14, 2026.
- Employer
- workato
- Location
- Berlin; Frankfurt; Munich, Germany
- Job type
- Full-time
- Level (from the title)
- management
- Pay
- Not stated by the employer
- Found
- Nov 14, 2026 on Arbeitnow
- Employer text
- 773 words, about 4 min to read
- Apply only on the official page (arbeitnow.com). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Ruby, LLM and SaaS) in your CV where you really have them; applicant tracking systems look for these words.
- Read the employer’s full text below (about 4 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Berlin (ICSC post adjustment 40.2), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- EU Blue Card: Recognised degree and a job offer above the salary threshold
- Skilled worker visa (Fachkräfte): Recognised qualification and a job offer
- Opportunity Card (Chancenkarte): Points-based job search for up to one year
Official routes: Make it in Germany (Federal Government portal)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01About Workato
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.
02Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
- 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 world
- Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
- Quartz ranked us the #1 best company for remote workers
Workato is looking for an Engineering Manager to lead the ChatBots and AI team within our Platform organization. This is a high-ownership role for someone who thrives in ambiguity: you turn unclear requirements into clear execution plans, make confident decisions with incomplete information, and keep both the team and leadership aligned. The team is fully remote and international - you'll build the processes and culture that make it work at pace.
03About the Team
The ChatBots and AI team's mission is to deliver AI agents to end users. We own the runtime and integration layer - conversation storage, API design, streaming, and integrations with external interfaces like Slack and other applications. The team is made up of Senior and Staff engineers working in Ruby/Rails and Go on a modern stack: PostgreSQL, Kafka, Redis, Kubernetes, and AWS. You'll collaborate with dedicated QA, SRE, and UX/UI teams, as well as engineering teams across the broader organization. Workato has a strong cross-functional culture - your team won't work in isolation.
04Delivery
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Partner with Product Managers and stakeholders to scope projects, set timelines, and define what success looks like
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Plan and track execution across quarters and sprints; deliver on schedule without compromising quality
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Identify blockers early, resolve them decisively, and escalate when escalation is the right call
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Balance feature work against internal investments - AI-SDLC, CI/CD, platform upgrades, and technical debt
05Team
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Manage, mentor, and grow a team of Senior and Staff engineers
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Own hiring, onboarding, and performance management
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Design team processes that fit a distributed, asynchronous environment - and evolve them as the team and company change
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Apply AI tooling to how the team works, not just what it builds
06Technical Ownership
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Participate in architecture and design decisions as a technical peer to your engineers
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Make trade-off calls on scope, approach, and sequencing - and be accountable for them
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Understand the system deeply enough to allocate the team's capacity where it matters most
07Communication
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Keep leadership informed on progress, risks, and blockers with clarity and without spin
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Build working relationships with peer leads across engineering and product
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Represent your team's priorities and constraints in cross-team planning
08What We're Looking For
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5+ years managing engineering teams, including Senior and Staff-level individual contributors
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Senior engineer-level technical depth - you can read the code, challenge a design, and hold your own in an architecture discussion
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Hands-on background in backend engineering; experience with Ruby, Go, or comparable languages and distributed systems
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Demonstrated ability to operate under ambiguity: defining direction where none exists, and committing to decisions before all the information is available
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Track record of shipping complex software on schedule in a fast-moving environment
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Experience managing a fully remote, distributed team across multiple time zones
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Strong written communication - in an async environment, writing is the primary management tool
09Nice to Have
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Experience building AI-powered products - agents, LLM pipelines, or orchestration systems
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Background in platform, integration, or developer-facing infrastructure
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Experience scaling a team through periods of rapid growth
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Familiarity with enterprise SaaS or automation platforms
10(REQ ID: 2941)
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