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Operations Team Lead with French C2 and English B2
1350-352 Lisboa
€1100 - €1700 por mês
CBT
Publicado há 10 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Operations Team Lead – French C2 + English B2 (On-site, Lisbon)
About the RoleWe’re looking for a dynamic and experienced Operations Team Lead to manage a team of French-speaking customer experience associates in a fast-paced, international contact center environment.
This position is based on-site in Lisbon , and candidates must already live in Lisbon or be willing to relocate .
As a Team Lead, you’ll play a key role in coaching your team, ensuring performance excellence, and maintaining a strong, collaborative team culture.
- Lead and oversee daily operations for a team of French-speaking customer service associates, ensuring service quality and efficiency.
- Monitor performance metrics (quality, attendance, productivity) and take corrective action when needed.
- Coach, motivate, and develop team members to help them achieve individual and team goals.
- Handle customer escalations in both French and English, delivering prompt and professional solutions.
- Foster a positive, inclusive, and results-driven work environment.
- Conduct regular team meetings to communicate updates, celebrate achievements, and address challenges.
- Ensure compliance with company policies, SLAs, and quality standards.
- Collaborate with internal departments to enhance operational effectiveness and customer experience.
- Manage attendance, scheduling, and adherence to support smooth day-to-day operations.
- Education: Associate’s degree or equivalent preferred.
- Experience: 2–4 years in operations, customer service, or team leadership.
- Preferred: Prior experience as a Team Leader in a Call Center or BPO environment .
- Languages: French (C2) and English (B2) required.
- Proven experience in team coaching, performance management, and continuous improvement .
- Strong leadership, communication, and problem-solving skills.
- Ability to multi-task, prioritize effectively, and work under pressure .
- Flexibility to work rotating shifts when required.
- Base Salary + Performance Bonus: €1,100 - €1,700 per month
- Meal Allowance
- Permanent Contract with Health Insurance
- Relocation Package available for candidates moving from abroad
- A people-centered leadership style focused on motivation and empowerment.
- A passion for operational excellence and customer success.
- A proactive, analytical mindset and problem-solving approach.
- A collaborative spirit with a focus on teamwork and performance.
- Location: On-site in Lisbon (mandatory)
- Schedule: Full-time, flexible shifts
#OperationsTeamLead #FrenchJobs #LisbonJobs #HiringNow #CustomerService #Leadership #TeamLeader #OperationsManagement #BPOJobs #CallCenterJobs #RelocationOpportunity #LisbonCareer #BilingualJobs #NowHiring #JobInPortugal
Dados Da Empresa
Since 2013, Cross Border Talents has connected over 130,000 professionals from 50+ countries with international companies. With 300+ recruiters and cutting-edge recruitment technology, we specialize in global hiring across Engineering, IT, and Multilingual Customer Support. We’re also proud to be the only recruitment agency worldwide awarded three Seals of Excellence by Horizon 2020 SMEI.
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0
Operations Team Lead with Italian C2 and English B2
1350-352 Lisboa
€1100 - €1700 por mês
CBT
Publicado há 10 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Operations Team Lead – Italian C2 + English B2 (On-site, Lisbon)
About the RoleWe’re looking for an experienced and motivated Operations Team Lead to manage a team of Italian-speaking customer experience associates in a dynamic, fast-paced contact center environment.
This role is based on-site in Lisbon , and candidates must currently live in Lisbon or be open to relocation .
You’ll be responsible for guiding your team to deliver outstanding customer experiences, meet performance goals, and maintain a positive, people-focused culture.
- Lead and supervise daily operations for a team of Italian-speaking customer service associates to ensure performance and quality targets are achieved.
- Monitor key performance metrics (quality, attendance, productivity) and implement improvement actions when necessary.
- Coach, mentor, and develop team members through structured feedback, training, and performance evaluations.
- Handle escalated issues in Italian and English, ensuring timely and professional resolutions.
- Foster a positive, collaborative, and high-performing team environment.
- Organize team meetings to share updates, recognize achievements, and discuss performance trends.
- Ensure compliance with company policies, SLAs, and performance standards.
- Collaborate cross-functionally with other teams to streamline operations and improve the customer journey.
- Oversee attendance, scheduling, and adherence to support smooth day-to-day operations.
- Education: Associate’s degree or equivalent preferred.
- Experience: 2–4 years in operations, customer service, or team leadership.
- Preferred: Previous experience as a Team Leader in a Call Center or BPO environment .
- Languages: Italian (C2) and English (B2) required.
- Proven record in team coaching, performance management, and process improvement .
- Excellent communication, organizational, and leadership skills.
- Ability to multi-task, prioritize, and remain calm under pressure .
- Flexibility to work rotating shifts as needed.
- Base Salary + Performance Bonus: €1,100 - €1,700 per month
- Meal Allowance
- Permanent Contract with Health Insurance
- Relocation Package available for candidates moving from abroad
- A leadership style that motivates, empowers, and supports your team.
- A passion for people management and exceptional customer service.
- A proactive, data-driven mindset with a focus on results.
- A collaborative spirit and drive for continuous improvement.
- Location: On-site in Lisbon (mandatory)
- Schedule: Full-time, flexible shifts
#OperationsTeamLead #ItalianJobs #LisbonJobs #HiringNow #CustomerService #Leadership #TeamLeader #OperationsManagement #BPOJobs #CallCenterJobs #RelocationOpportunity #LisbonCareer #BilingualJobs #NowHiring #JobInPortug
Dados Da Empresa
Since 2013, Cross Border Talents has connected over 130,000 professionals from 50+ countries with international companies. With 300+ recruiters and cutting-edge recruitment technology, we specialize in global hiring across Engineering, IT, and Multilingual Customer Support. We’re also proud to be the only recruitment agency worldwide awarded three Seals of Excellence by Horizon 2020 SMEI.
Desculpe, este trabalho não está disponível em sua região
1
Operations Team Lead Spanish C2 and English B2
1350-352 Lisboa
€1100 - €1700 por mês
CBT
Publicado há 10 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Operations Team Lead – Spanish C2 + English B2 (On-site, Lisbon)
About the RoleWe’re looking for a motivated and experienced Operations Team Lead to manage a team of customer experience associates in a fast-paced, multilingual contact center environment.
This position is based on-site in Lisbon , so candidates must currently live in Lisbon or be willing to relocate .
You’ll be responsible for leading a Spanish-speaking team, ensuring service excellence, and fostering a positive, performance-driven culture.
- Lead and supervise daily operations for a team of Spanish-speaking customer service associates to meet business targets and quality standards.
- Monitor and analyze performance metrics (quality, productivity, attendance) and take proactive steps to improve results.
- Coach, mentor, and develop team members through structured feedback and regular performance reviews.
- Handle customer escalations in both Spanish and English, ensuring timely and effective resolutions.
- Promote a collaborative and motivating environment that encourages ownership and accountability.
- Conduct regular team meetings to share updates, celebrate achievements, and discuss performance insights.
- Ensure compliance with internal policies, service level agreements (SLAs), and performance standards.
- Collaborate with cross-functional teams to optimize workflows and improve overall customer satisfaction.
- Oversee attendance, scheduling, and adherence to maintain smooth daily operations.
- Education: Associate’s degree or equivalent preferred.
- Experience: 2–4 years in operations, customer service, or team leadership.
- Preferred: Experience as a Team Leader in a Call Center or BPO environment .
- Languages: Spanish (C2) and English (B2) required.
- Proven success in coaching, performance management, and process improvement .
- Excellent communication, leadership, and problem-solving abilities.
- Strong multitasking and organizational skills with the ability to perform under pressure.
- Flexibility to work rotating shifts as needed.
- Base Salary + Performance Bonus: €1,100- €1,700 per month
- Meal Allowance
- Permanent Contract with Health Insurance
- Relocation Package available for candidates moving from abroad
- A people-first leadership style focused on motivation and growth.
- A passion for delivering high-quality customer experiences.
- A data-driven mindset and proactive problem-solving approach.
- A strong sense of accountability, collaboration, and adaptability.
- Location: On-site in Lisbon (mandatory)
- Schedule: Full-time, flexible shifts
Ready to take your leadership career to the next level?
#OperationsTeamLead #SpanishJobs #LisbonJobs #HiringNow #CustomerService #Leadership #BPOJobs #CallCenterJobs #TeamLeader #OperationsManagement #LisbonCareer #RelocationOpportunity #NowHiring #JobInPortugal
Dados Da Empresa
Since 2013, Cross Border Talents has connected over 130,000 professionals from 50+ countries with international companies. With 300+ recruiters and cutting-edge recruitment technology, we specialize in global hiring across Engineering, IT, and Multilingual Customer Support. We’re also proud to be the only recruitment agency worldwide awarded three Seals of Excellence by Horizon 2020 SMEI.
Desculpe, este trabalho não está disponível em sua região
2
Operations Team Lead with German C2 and English B2
1350-352 Lisboa
€1100 - €1700 por mês
CBT
Publicado há 10 dias atrás
Trabalho visualizado
Descrição Do Trabalho
About the Role
We’re looking for a motivated and experienced Operations Team Lead to manage a team of customer experience associates in a fast-paced contact center environment.
This position is based on-site in Lisbon — candidates must currently live in Lisbon or be willing to relocate .
You’ll be responsible for driving team performance, ensuring service excellence, and creating a positive, results-oriented work culture.
- Lead and supervise daily operations for a team of customer service associates to meet targets and quality standards.
- Monitor and analyze performance metrics (quality, productivity, attendance) and implement improvement actions when needed.
- Coach, mentor, and develop team members through regular feedback sessions and performance reviews.
- Handle customer escalations and provide guidance to ensure timely and effective resolutions.
- Promote a positive and motivating team environment focused on collaboration, accountability, and recognition.
- Conduct team meetings to communicate updates, share best practices, and drive engagement.
- Ensure compliance with company policies, service level agreements (SLAs), and performance standards.
- Collaborate with cross-functional teams to enhance operations and customer satisfaction.
- Oversee attendance, scheduling, and workforce adherence to maintain smooth day-to-day operations.
- Education: Associate’s degree or equivalent preferred.
- Experience: 2–4 years in operations, customer service, or team leadership.
- Preferred: Experience as a Team Leader in a Call Center or BPO environment .
- Languages: German (C2) and English (B2) required.
- Proven track record in coaching, performance management, and process improvement .
- Excellent communication, leadership, and problem-solving skills.
- Strong ability to multi-task, prioritize, and stay organized under pressure .
- Flexibility to work rotating shifts as needed.
- Base Salary + Performance Bonus: €1,100 – €1,700 per month
- Meal Allowance
- Permanent Contract with Health Insurance
- Relocation Package available for candidates moving from abroad
- A people-first leadership style focused on motivation and growth.
- A passion for achieving excellence in customer experience and team results.
- A data-driven mindset with the ability to identify opportunities and drive improvement.
- A strong sense of ownership, accountability, and collaboration.
- Location: On-site in Lisbon (mandatory)
- Schedule: Full-time, flexible shifts
Dados Da Empresa
Since 2013, Cross Border Talents has connected over 130,000 professionals from 50+ countries with international companies. With 300+ recruiters and cutting-edge recruitment technology, we specialize in global hiring across Engineering, IT, and Multilingual Customer Support. We’re also proud to be the only recruitment agency worldwide awarded three Seals of Excellence by Horizon 2020 SMEI.
Desculpe, este trabalho não está disponível em sua região
3
Senior Data Engineer
Seixal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*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.
**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.
Desculpe, este trabalho não está disponível em sua região
4
ML Engineering Manager
Sintra, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*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.
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.
Desculpe, este trabalho não está disponível em sua região
5
ML Engineering Manager
Cascais, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*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.
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.
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6
ML Engineering Manager
Seixal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*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.
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.
Desculpe, este trabalho não está disponível em sua região
7
Staff Machine Learning Engineer
Sintra, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*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.
As a Staff ML Engineer, you will be a technical leader who shapes the vision and execution of ML/AI products at scale. You'll drive architecture and design decisions, influence the broader engineering strategy, lead complex projects that span teams, and mentor the next generation of technical talent. Your work will impact millions of users and set standards for ML engineering across Zendesk.
* What you get to do every day *
* Architect, design, and deliver ML-powered systems and features (e.g., intent detection, sentiment/language analysis, intelligent agent routing, chatbots) at a global scale with reliability, efficiency, and maintainability as core principles.
* Design, build, and optimize scalable, reliable ML pipelines for processing large volumes of structured and unstructured text data (including real-time customer conversations).
* Collaborate with ML Scientists and Product teams to productionize new models, LLM-powered services, and experiment with emerging AI technologies in the context of intelligent triage.
* Lead large-scale, high-impact initiatives: define technical roadmaps, validate trade-offs, deliver on timelines, and ensure excellence across the entire ML lifecycle.
* Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability), ensuring efficient model deployment and high system reliability.
* Mentor and support junior engineers; share knowledge of model development, deployment, and best practices.
* Drive technical reviews, provide guidance on complex system design, and rapidly resolve critical production issues involving ML models, pipelines, and infrastructure.
* Act as a mentor, coach, and multiplier-elevate technical expertise within and beyond your immediate team by sharing knowledge, leading by example, and championing continuous learning and growth.
* Represent Zendesk in technical forums and contribute to the broader ML engineering community.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* How do we extend our retrieval and information extraction platforms to support new conversational AI use cases?
* How do we efficiently serve and monitor large ML/LLM models in a high-throughput, low-latency production environment?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* How do we ensure fairness, explainability, and compliance in ML-driven customer interactions?
* And many more!
* What you bring to the role *
* Proven track record as a solid software engineer with a focus on Python-based software development.
* Advanced proficiency with scalable data processing frameworks (e.g., Spark, AWS Batch, Airflow), distributed databases, and designing reliable data models for heterogeneous datasets.
* Demonstrated technical leadership: ability to define system vision, steer architecture, make trade-off decisions, and coordinate complex projects across teams.
* Experience with MLOps: CI/CD for ML, monitoring, model registries, automated retraining, and rollback.
* Familiarity with cloud environments (AWS preferred, but GCP/Azure experience valued), and microservices architectures (Kubernetes, Docker).
* Track record integrating modern NLP/LLM stacks and libraries (HuggingFace, OpenAI, etc.) into large-scale, customer-facing products.
* A self-managed and dedicated approach with the ability to work independently.
* Exceptional problem-solving skills, technical judgment, and the ability to drive innovation in ambiguous, fast-evolving business contexts.
* Strong mentorship, communication, and cross-team collaboration skills; ability to uplevel peers and shape culture standards within Engineering.
* Commitment to staying ahead in advances in ML/AI, sharing knowledge, and driving state-of-the-art solutions organization-wide.
* Ability to mentor, review code, and drive technical excellence within a multi-disciplinary team.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#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.
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.
As a Staff ML Engineer, you will be a technical leader who shapes the vision and execution of ML/AI products at scale. You'll drive architecture and design decisions, influence the broader engineering strategy, lead complex projects that span teams, and mentor the next generation of technical talent. Your work will impact millions of users and set standards for ML engineering across Zendesk.
* What you get to do every day *
* Architect, design, and deliver ML-powered systems and features (e.g., intent detection, sentiment/language analysis, intelligent agent routing, chatbots) at a global scale with reliability, efficiency, and maintainability as core principles.
* Design, build, and optimize scalable, reliable ML pipelines for processing large volumes of structured and unstructured text data (including real-time customer conversations).
* Collaborate with ML Scientists and Product teams to productionize new models, LLM-powered services, and experiment with emerging AI technologies in the context of intelligent triage.
* Lead large-scale, high-impact initiatives: define technical roadmaps, validate trade-offs, deliver on timelines, and ensure excellence across the entire ML lifecycle.
* Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability), ensuring efficient model deployment and high system reliability.
* Mentor and support junior engineers; share knowledge of model development, deployment, and best practices.
* Drive technical reviews, provide guidance on complex system design, and rapidly resolve critical production issues involving ML models, pipelines, and infrastructure.
* Act as a mentor, coach, and multiplier-elevate technical expertise within and beyond your immediate team by sharing knowledge, leading by example, and championing continuous learning and growth.
* Represent Zendesk in technical forums and contribute to the broader ML engineering community.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* How do we extend our retrieval and information extraction platforms to support new conversational AI use cases?
* How do we efficiently serve and monitor large ML/LLM models in a high-throughput, low-latency production environment?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* How do we ensure fairness, explainability, and compliance in ML-driven customer interactions?
* And many more!
* What you bring to the role *
* Proven track record as a solid software engineer with a focus on Python-based software development.
* Advanced proficiency with scalable data processing frameworks (e.g., Spark, AWS Batch, Airflow), distributed databases, and designing reliable data models for heterogeneous datasets.
* Demonstrated technical leadership: ability to define system vision, steer architecture, make trade-off decisions, and coordinate complex projects across teams.
* Experience with MLOps: CI/CD for ML, monitoring, model registries, automated retraining, and rollback.
* Familiarity with cloud environments (AWS preferred, but GCP/Azure experience valued), and microservices architectures (Kubernetes, Docker).
* Track record integrating modern NLP/LLM stacks and libraries (HuggingFace, OpenAI, etc.) into large-scale, customer-facing products.
* A self-managed and dedicated approach with the ability to work independently.
* Exceptional problem-solving skills, technical judgment, and the ability to drive innovation in ambiguous, fast-evolving business contexts.
* Strong mentorship, communication, and cross-team collaboration skills; ability to uplevel peers and shape culture standards within Engineering.
* Commitment to staying ahead in advances in ML/AI, sharing knowledge, and driving state-of-the-art solutions organization-wide.
* Ability to mentor, review code, and drive technical excellence within a multi-disciplinary team.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#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.
Desculpe, este trabalho não está disponível em sua região
8
Staff Machine Learning Engineer
Cascais, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*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.
As a Staff ML Engineer, you will be a technical leader who shapes the vision and execution of ML/AI products at scale. You'll drive architecture and design decisions, influence the broader engineering strategy, lead complex projects that span teams, and mentor the next generation of technical talent. Your work will impact millions of users and set standards for ML engineering across Zendesk.
* What you get to do every day *
* Architect, design, and deliver ML-powered systems and features (e.g., intent detection, sentiment/language analysis, intelligent agent routing, chatbots) at a global scale with reliability, efficiency, and maintainability as core principles.
* Design, build, and optimize scalable, reliable ML pipelines for processing large volumes of structured and unstructured text data (including real-time customer conversations).
* Collaborate with ML Scientists and Product teams to productionize new models, LLM-powered services, and experiment with emerging AI technologies in the context of intelligent triage.
* Lead large-scale, high-impact initiatives: define technical roadmaps, validate trade-offs, deliver on timelines, and ensure excellence across the entire ML lifecycle.
* Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability), ensuring efficient model deployment and high system reliability.
* Mentor and support junior engineers; share knowledge of model development, deployment, and best practices.
* Drive technical reviews, provide guidance on complex system design, and rapidly resolve critical production issues involving ML models, pipelines, and infrastructure.
* Act as a mentor, coach, and multiplier-elevate technical expertise within and beyond your immediate team by sharing knowledge, leading by example, and championing continuous learning and growth.
* Represent Zendesk in technical forums and contribute to the broader ML engineering community.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* How do we extend our retrieval and information extraction platforms to support new conversational AI use cases?
* How do we efficiently serve and monitor large ML/LLM models in a high-throughput, low-latency production environment?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* How do we ensure fairness, explainability, and compliance in ML-driven customer interactions?
* And many more!
* What you bring to the role *
* Proven track record as a solid software engineer with a focus on Python-based software development.
* Advanced proficiency with scalable data processing frameworks (e.g., Spark, AWS Batch, Airflow), distributed databases, and designing reliable data models for heterogeneous datasets.
* Demonstrated technical leadership: ability to define system vision, steer architecture, make trade-off decisions, and coordinate complex projects across teams.
* Experience with MLOps: CI/CD for ML, monitoring, model registries, automated retraining, and rollback.
* Familiarity with cloud environments (AWS preferred, but GCP/Azure experience valued), and microservices architectures (Kubernetes, Docker).
* Track record integrating modern NLP/LLM stacks and libraries (HuggingFace, OpenAI, etc.) into large-scale, customer-facing products.
* A self-managed and dedicated approach with the ability to work independently.
* Exceptional problem-solving skills, technical judgment, and the ability to drive innovation in ambiguous, fast-evolving business contexts.
* Strong mentorship, communication, and cross-team collaboration skills; ability to uplevel peers and shape culture standards within Engineering.
* Commitment to staying ahead in advances in ML/AI, sharing knowledge, and driving state-of-the-art solutions organization-wide.
* Ability to mentor, review code, and drive technical excellence within a multi-disciplinary team.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#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.
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.
As a Staff ML Engineer, you will be a technical leader who shapes the vision and execution of ML/AI products at scale. You'll drive architecture and design decisions, influence the broader engineering strategy, lead complex projects that span teams, and mentor the next generation of technical talent. Your work will impact millions of users and set standards for ML engineering across Zendesk.
* What you get to do every day *
* Architect, design, and deliver ML-powered systems and features (e.g., intent detection, sentiment/language analysis, intelligent agent routing, chatbots) at a global scale with reliability, efficiency, and maintainability as core principles.
* Design, build, and optimize scalable, reliable ML pipelines for processing large volumes of structured and unstructured text data (including real-time customer conversations).
* Collaborate with ML Scientists and Product teams to productionize new models, LLM-powered services, and experiment with emerging AI technologies in the context of intelligent triage.
* Lead large-scale, high-impact initiatives: define technical roadmaps, validate trade-offs, deliver on timelines, and ensure excellence across the entire ML lifecycle.
* Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability), ensuring efficient model deployment and high system reliability.
* Mentor and support junior engineers; share knowledge of model development, deployment, and best practices.
* Drive technical reviews, provide guidance on complex system design, and rapidly resolve critical production issues involving ML models, pipelines, and infrastructure.
* Act as a mentor, coach, and multiplier-elevate technical expertise within and beyond your immediate team by sharing knowledge, leading by example, and championing continuous learning and growth.
* Represent Zendesk in technical forums and contribute to the broader ML engineering community.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* How do we extend our retrieval and information extraction platforms to support new conversational AI use cases?
* How do we efficiently serve and monitor large ML/LLM models in a high-throughput, low-latency production environment?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* How do we ensure fairness, explainability, and compliance in ML-driven customer interactions?
* And many more!
* What you bring to the role *
* Proven track record as a solid software engineer with a focus on Python-based software development.
* Advanced proficiency with scalable data processing frameworks (e.g., Spark, AWS Batch, Airflow), distributed databases, and designing reliable data models for heterogeneous datasets.
* Demonstrated technical leadership: ability to define system vision, steer architecture, make trade-off decisions, and coordinate complex projects across teams.
* Experience with MLOps: CI/CD for ML, monitoring, model registries, automated retraining, and rollback.
* Familiarity with cloud environments (AWS preferred, but GCP/Azure experience valued), and microservices architectures (Kubernetes, Docker).
* Track record integrating modern NLP/LLM stacks and libraries (HuggingFace, OpenAI, etc.) into large-scale, customer-facing products.
* A self-managed and dedicated approach with the ability to work independently.
* Exceptional problem-solving skills, technical judgment, and the ability to drive innovation in ambiguous, fast-evolving business contexts.
* Strong mentorship, communication, and cross-team collaboration skills; ability to uplevel peers and shape culture standards within Engineering.
* Commitment to staying ahead in advances in ML/AI, sharing knowledge, and driving state-of-the-art solutions organization-wide.
* Ability to mentor, review code, and drive technical excellence within a multi-disciplinary team.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#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.
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