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Urgent! Machine Learning Engineering Manager - Local Job Opening in Lisbon
Zendesk’s people have one goal in mind: to make Customer Experience better.
Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
The AI/ML Platform team is at the forefront of this mission.
We build the foundation that powers every AI-driven experience at Zendesk, enabling product teams to build, evaluate, and deploy state-of-the-art Large Language Model (LLM) applications reliably and at scale.
We're looking for an Engineering Manager to lead the next wave of GenAI infrastructure at Zendesk.
This includes our internal LLM Proxy, benchmarking framework, Data annotations and agentic workflow orchestration tools.
You’ll empower Zendesk’s ML/AI teams by building secure, cost-optimized, and developer-friendly ML platforms that scale across use cases and products.
You'll work with different partners (Engineering, Product, Architects and Tech Leads) to ensure your team's roadmap is aligned with company strategy and the team is shipping architecturally sound software at a regular cadence.
Lead a high-performing team of AI/ML platform engineers to deliver the core infrastructure powering LLM-based applications.
Own the design, rollout, and optimization of Zendesk’s LLM Proxy, enabling safe, observable, and cost-efficient access to multiple foundation models.
Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.
Partner with applied ML, product, and infrastructure teams to align platform investments with AI roadmap priorities.
Establish strong engineering practices around observability, reliability, security, and cost monitoring.
Foster a team culture that emphasizes mentorship, inclusion, and technical excellence.
Proven experience managing high-performing engineering teams in the ML/AI or infrastructure space.
Deep understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.
Experience owning the full lifecycle of ML/AI platform components—from early design to production deployment.
Strong communication skills and an ability to influence technical direction across teams and partners.
A pragmatic mindset: you balance innovation with scalability and performance in enterprise environments.
A dedication to continual self-development.
Collaborative, upbeat work ethic where you can take ownership and have fun.
Our code is written in Python.
Our servers live in AWS.
LLM Vendors: OpenAI, Anthropic, Google, Llama
Infra: Kubernetes, Docker, Kafka, AWS
Full ownership of the projects you work on.
What you will be doing will have a huge impact.
Team of passionate people who love what they do.
Exciting projects, ability to implement your own ideas and improvements.
Opportunity to learn and grow.
...and everything you need to be effective and maintain work-life balance
Flexible working hours.
Professional development funds.
Comfortable office and a remote setup.
Choice of your laptop and other equipment.
Premium Medical Insurance as well as Private Life Assurance.
#LI-KM7
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week.
This role must attend our local office for part of the week.
The specific in-office schedule is to be determined by the hiring manager.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Lisbon, Portugal (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Lisbon, Portugal using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 121 jobs in Portugal and 52 jobs in Lisbon. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Zendesk is currently hiring and seeking a Machine Learning Engineering Manager to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineering Manager Jobs Lisbon.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Zendesk adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineering Manager Jobs Portugal varies, but the pay scale is rated "Standard" in Lisbon. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineering Manager typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineering Manager interview at Zendesk, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Zendesk's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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