20.683 Empregos em Lisboa

*Job Description*

**Who we’re looking for:**

The ‘Zendesk Analytics Prototyping’ (ZAP) team is seeking a Senior Data Engineer to support our mission of building a robust data foundation for CRM insights and improving customer support tools. As a Senior Data Engineer, you will work on designing and implementing scalable, high-quality data solutions, collaborating closely with engineering and analytics teams to enhance Zendesk’s operations. This role offers the opportunity to grow your skills in a dynamic environment and make a measurable impact on how Zendesk leverages data.

**What you’ll be doing:**

* Collaborate with team members to define requirements and translate them into scalable data models and pipelines.

* Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.

* Build and optimize SQL-based data models using dbt and other ETL tools.

* Identify and implement improvements in data delivery, processing performance, and system efficiency.

* Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.



**What you bring to the role**

**Basic Qualifications:**

* 5+ years of data engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments.

* Extensive experience with SQL, ideally in the context of data modeling and analysis.

* Hands-on production experience with dbt, and proven knowledge in modern and classic Data Modeling - Kimball, Inmon, etc.

* Programming skills in Python or a similar language, with an emphasis on data transformation and automation.

* Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.

* Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems. This includes identifying bottlenecks, ensuring scalability, and minimizing operational costs in cloud-based data environments.

* Excellent communication and collaboration skills.



**Preferred Qualifications:**

* SnowPro Core certification or equivalent hands-on expertise.

* Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics.



**Our Data Stack:**

ELT (Snowflake, dbt, Airflow, Kafka)

BI (Tableau, Looker)

Infrastructure (AWS, Kubernetes, Terraform, GitHub Actions)

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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.

*Job Description*

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.

Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.

We are looking for an experienced Machine Learning Engineering Manager to lead the ML knowledge team. The team’s mission is both enabling knowledge creation through generative AI, as well as making the generated knowledge discoverable through information retrieval systems.

As an ML Engineering Manager you are overseeing a cross-functional team that is responsible for end-to-end delivery of machine learning-powered features. You will leverage your machine learning expertise to steer the team, while ensuring adherence to top-tier engineering practices. You ensure that ML models are deployed reliably at scale, suitable cost, and with measurable quality.

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.

*What you get to do every day*


* Lead a team of experienced Machine Learning Engineers and Scientists, offering direction and assistance at every stage of the lifecycle of an ML project.

* Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.

* Lead the recruitment of new team members and facilitate a speedy, engaged interview process.

* Have quality 1:1s with your team members.

* Create a diverse and inclusive working environment where people can thrive.



**What you bring to the role**


* Experience managing people across one or more teams, ideally working with large, distributed Internet-facing systems.

* Proven expertise in managing the delivery of machine learning projects to production.

* Expertise in NLP or Information Retrieval is a big plus.

* Great communication skills, both written and verbal.

* Refined prioritization skills, you are able to focus your time and energy where it’ll have the most impact.

* A dedication to continual self-development.

* Collaborative, upbeat work ethic where you can take ownership and have fun.



**What our tech stack looks like**


* Our code is written in Python, Ruby, Scala, and Java.

* Our servers live in AWS.

* Our machine learning models rely on PyTorch and Tensorflow.

* Our ML pipelines use AWS Batch and EMR.

* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora.

* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.



**What we offer**


* 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.

* Interesting 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-AO1

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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.

*Job Description*

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 a Staff ML Engineer to build the next wave of GenAI infrastructure at Zendesk. This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, 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 closely with Engineering, Product, Architects, and Tech Leads to ensure the platform strategy is tightly aligned with company goals, while ensuring the delivery of robust, scalable, and production-ready systems.

*What you get to do every day*


* Lead the design, rollout, and optimization of ML Platform components including model serving, feature management, training pipelines, and evaluation frameworks.

* Own the design, rollout, and optimization of Zendesk’s LLM Proxy, enabling safe, observable, and cost-efficient access to multiple foundation models.

* Champion best practices around service resilience, observability, cost efficiency, and performance optimization.

* Partner with stakeholders to ensure platform investments align with Zendesk’s AI/ML roadmap and business priorities.

* Foster a culture of technical excellence, inclusion, and mentorship within the engineering team.

* Foster a team culture that emphasizes mentorship, inclusion, and technical excellence.



*What you bring to the role*


* 7+ years of hands-on experience developing and deploying ML models or Generative AI. Proven success in production deployments with a focus on scalability, reliability, and availability

* Familiarity with MLOps best practices (CI/CD for ML, model monitoring, automated retraining pipelines).

* Deep understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.

* Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure).

* Fluency in any server-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).

* Sound understanding of architecture and software design patterns for server-side domains.

* Experience owning the full lifecycle of ML/AI platform components from early design to production deployment.



*Preferred Qualifications*


* Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks

* Experience building tools that improve developer productivity and platform adoption across multiple teams.



*What our tech stack looks like*


* Our code is written in Python.

* Our servers live in AWS.

* LLM Vendors : OpenAI, Anthropic, Google, Llama

* Infra: Kubernetes, Docker, Kafka, AWS



*What we offer*


* 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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.

*Job Description*

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 a Staff ML Engineer to build the next wave of GenAI infrastructure at Zendesk. This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, 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 closely with Engineering, Product, Architects, and Tech Leads to ensure the platform strategy is tightly aligned with company goals, while ensuring the delivery of robust, scalable, and production-ready systems.

*What you get to do every day*


* Lead the design, rollout, and optimization of ML Platform components including model serving, feature management, training pipelines, and evaluation frameworks.

* Own the design, rollout, and optimization of Zendesk’s LLM Proxy, enabling safe, observable, and cost-efficient access to multiple foundation models.

* Champion best practices around service resilience, observability, cost efficiency, and performance optimization.

* Partner with stakeholders to ensure platform investments align with Zendesk’s AI/ML roadmap and business priorities.

* Foster a culture of technical excellence, inclusion, and mentorship within the engineering team.

* Foster a team culture that emphasizes mentorship, inclusion, and technical excellence.



*What you bring to the role*


* 7+ years of hands-on experience developing and deploying ML models or Generative AI. Proven success in production deployments with a focus on scalability, reliability, and availability

* Familiarity with MLOps best practices (CI/CD for ML, model monitoring, automated retraining pipelines).

* Deep understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.

* Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure).

* Fluency in any server-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).

* Sound understanding of architecture and software design patterns for server-side domains.

* Experience owning the full lifecycle of ML/AI platform components from early design to production deployment.



*Preferred Qualifications*


* Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks

* Experience building tools that improve developer productivity and platform adoption across multiple teams.



*What our tech stack looks like*


* Our code is written in Python.

* Our servers live in AWS.

* LLM Vendors : OpenAI, Anthropic, Google, Llama

* Infra: Kubernetes, Docker, Kafka, AWS



*What we offer*


* 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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.

*Job Description*

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 a Staff ML Engineer to build the next wave of GenAI infrastructure at Zendesk. This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, 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 closely with Engineering, Product, Architects, and Tech Leads to ensure the platform strategy is tightly aligned with company goals, while ensuring the delivery of robust, scalable, and production-ready systems.

*What you get to do every day*


* Lead the design, rollout, and optimization of ML Platform components including model serving, feature management, training pipelines, and evaluation frameworks.

* Own the design, rollout, and optimization of Zendesk’s LLM Proxy, enabling safe, observable, and cost-efficient access to multiple foundation models.

* Champion best practices around service resilience, observability, cost efficiency, and performance optimization.

* Partner with stakeholders to ensure platform investments align with Zendesk’s AI/ML roadmap and business priorities.

* Foster a culture of technical excellence, inclusion, and mentorship within the engineering team.

* Foster a team culture that emphasizes mentorship, inclusion, and technical excellence.



*What you bring to the role*


* 7+ years of hands-on experience developing and deploying ML models or Generative AI. Proven success in production deployments with a focus on scalability, reliability, and availability

* Familiarity with MLOps best practices (CI/CD for ML, model monitoring, automated retraining pipelines).

* Deep understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.

* Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure).

* Fluency in any server-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).

* Sound understanding of architecture and software design patterns for server-side domains.

* Experience owning the full lifecycle of ML/AI platform components from early design to production deployment.



*Preferred Qualifications*


* Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks

* Experience building tools that improve developer productivity and platform adoption across multiple teams.



*What our tech stack looks like*


* Our code is written in Python.

* Our servers live in AWS.

* LLM Vendors : OpenAI, Anthropic, Google, Llama

* Infra: Kubernetes, Docker, Kafka, AWS



*What we offer*


* 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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.

*Job Description*

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 a Staff ML Engineer to build the next wave of GenAI infrastructure at Zendesk. This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, 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 closely with Engineering, Product, Architects, and Tech Leads to ensure the platform strategy is tightly aligned with company goals, while ensuring the delivery of robust, scalable, and production-ready systems.

*What you get to do every day*


* Lead the design, rollout, and optimization of ML Platform components including model serving, feature management, training pipelines, and evaluation frameworks.

* Own the design, rollout, and optimization of Zendesk’s LLM Proxy, enabling safe, observable, and cost-efficient access to multiple foundation models.

* Champion best practices around service resilience, observability, cost efficiency, and performance optimization.

* Partner with stakeholders to ensure platform investments align with Zendesk’s AI/ML roadmap and business priorities.

* Foster a culture of technical excellence, inclusion, and mentorship within the engineering team.

* Foster a team culture that emphasizes mentorship, inclusion, and technical excellence.



*What you bring to the role*


* 7+ years of hands-on experience developing and deploying ML models or Generative AI. Proven success in production deployments with a focus on scalability, reliability, and availability

* Familiarity with MLOps best practices (CI/CD for ML, model monitoring, automated retraining pipelines).

* Deep understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.

* Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure).

* Fluency in any server-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).

* Sound understanding of architecture and software design patterns for server-side domains.

* Experience owning the full lifecycle of ML/AI platform components from early design to production deployment.



*Preferred Qualifications*


* Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks

* Experience building tools that improve developer productivity and platform adoption across multiple teams.



*What our tech stack looks like*


* Our code is written in Python.

* Our servers live in AWS.

* LLM Vendors : OpenAI, Anthropic, Google, Llama

* Infra: Kubernetes, Docker, Kafka, AWS



*What we offer*


* 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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.

*Job Description*

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 a Staff ML Engineer to build the next wave of GenAI infrastructure at Zendesk. This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, 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 closely with Engineering, Product, Architects, and Tech Leads to ensure the platform strategy is tightly aligned with company goals, while ensuring the delivery of robust, scalable, and production-ready systems.

*What you get to do every day*


* Lead the design, rollout, and optimization of ML Platform components including model serving, feature management, training pipelines, and evaluation frameworks.

* Own the design, rollout, and optimization of Zendesk’s LLM Proxy, enabling safe, observable, and cost-efficient access to multiple foundation models.

* Champion best practices around service resilience, observability, cost efficiency, and performance optimization.

* Partner with stakeholders to ensure platform investments align with Zendesk’s AI/ML roadmap and business priorities.

* Foster a culture of technical excellence, inclusion, and mentorship within the engineering team.

* Foster a team culture that emphasizes mentorship, inclusion, and technical excellence.



*What you bring to the role*


* 7+ years of hands-on experience developing and deploying ML models or Generative AI. Proven success in production deployments with a focus on scalability, reliability, and availability

* Familiarity with MLOps best practices (CI/CD for ML, model monitoring, automated retraining pipelines).

* Deep understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.

* Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure).

* Fluency in any server-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).

* Sound understanding of architecture and software design patterns for server-side domains.

* Experience owning the full lifecycle of ML/AI platform components from early design to production deployment.



*Preferred Qualifications*


* Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks

* Experience building tools that improve developer productivity and platform adoption across multiple teams.



*What our tech stack looks like*


* Our code is written in Python.

* Our servers live in AWS.

* LLM Vendors : OpenAI, Anthropic, Google, Llama

* Infra: Kubernetes, Docker, Kafka, AWS



*What we offer*


* 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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.

*Job Description*

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 a Senior ML Engineer to lead the next wave of GenAI infrastructure at Zendesk. This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, 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 closely with Staff Engineers, Tech Leads, Product Managers, and other ML teams to deliver robust, production-grade systems that accelerate the impact of AI across Zendesk.

*What you get to do every day*


* Help build benchmarking frameworks for LLMs, including A/B, Offline Evals testing capabilities to assess quality, latency, and cost trade-offs.

* Contribute to the design and implementation of Zendesk’s LLM Proxy to enable safe, observable, and cost-optimized access to multiple foundation models.

* Partner with applied ML, product, and platform teams to ensure GenAI infrastructure meets the needs of diverse product use cases.

* Implement best practices for monitoring, observability, rate-limiting, and cost attribution for LLM services.

* Establish strong engineering practices around observability, reliability, security, and cost monitoring.

* Work on orchestration tooling to enable multi-step, tool-using AI agents that integrate with Zendesk’s products



*What you bring to the role*


* 5+ years in developing and deploying ML systems in production, with hands-on experience in scaling infrastructure and ensuring service reliability.

* Familiarity with core ML infrastructure components such as model registries, feature stores, orchestration tools, and inference serving systems.

* Understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.

* Experience with GCP, AWS, or Azure; Kubernetes; Docker; and distributed systems.

* Proficiency in at least one server-side language (Python, Java, Scala, Golang, or Ruby) and solid grounding in testing and CI/CD workflows.

* Understanding of architecture principles and patterns for building scalable, resilient backend services.

* Experience taking projects from design to production deployment, with a focus on maintainability and performance.



*Preferred Qualifications*

* Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks

* Experience building tools that improve developer productivity and platform adoption across multiple teams.



*What our tech stack looks like*

* Our code is written in Python.

* Our servers live in AWS.

* LLM Vendors : OpenAI, Anthropic, Google, Llama

* Infra: Kubernetes, Docker, Kafka, AWS



*What we offer*

* 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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.

*Job Description*

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 a Senior ML Engineer to lead the next wave of GenAI infrastructure at Zendesk. This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, 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 closely with Staff Engineers, Tech Leads, Product Managers, and other ML teams to deliver robust, production-grade systems that accelerate the impact of AI across Zendesk.

*What you get to do every day*


* Help build benchmarking frameworks for LLMs, including A/B, Offline Evals testing capabilities to assess quality, latency, and cost trade-offs.

* Contribute to the design and implementation of Zendesk’s LLM Proxy to enable safe, observable, and cost-optimized access to multiple foundation models.

* Partner with applied ML, product, and platform teams to ensure GenAI infrastructure meets the needs of diverse product use cases.

* Implement best practices for monitoring, observability, rate-limiting, and cost attribution for LLM services.

* Establish strong engineering practices around observability, reliability, security, and cost monitoring.

* Work on orchestration tooling to enable multi-step, tool-using AI agents that integrate with Zendesk’s products



*What you bring to the role*


* 5+ years in developing and deploying ML systems in production, with hands-on experience in scaling infrastructure and ensuring service reliability.

* Familiarity with core ML infrastructure components such as model registries, feature stores, orchestration tools, and inference serving systems.

* Understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.

* Experience with GCP, AWS, or Azure; Kubernetes; Docker; and distributed systems.

* Proficiency in at least one server-side language (Python, Java, Scala, Golang, or Ruby) and solid grounding in testing and CI/CD workflows.

* Understanding of architecture principles and patterns for building scalable, resilient backend services.

* Experience taking projects from design to production deployment, with a focus on maintainability and performance.



*Preferred Qualifications*

* Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks

* Experience building tools that improve developer productivity and platform adoption across multiple teams.



*What our tech stack looks like*

* Our code is written in Python.

* Our servers live in AWS.

* LLM Vendors : OpenAI, Anthropic, Google, Llama

* Infra: Kubernetes, Docker, Kafka, AWS



*What we offer*

* 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.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.