We are looking for a Sales Engineer to build, implement and manage top standard SE strategy in an outstanding hyper-growth environment. In this role you’ll help our sales team to evangelize the power of Torq by assessing and understanding the technical business needs of our customers and prospects to help them achieve maximum value from our solution. This is a remote position based in Spain. 

What you’ll do:

• Provide outstanding and effective pre-sales technical expertise and sales engineering processes. 
• Lead the Sales Engineering team in following sales methodology and best practices, as well as ensuring proper use of CRM system
• Partner with sales leadership and product groups to drive operational excellence and efficiency and meet quarterly and annual sales targets
• Ensure accuracy and accountability with internal systems and tools
• Provide technical guidance and support to the sales team, ensuring that they have the knowledge and tools needed to be successful
• Deliver compelling presentations to customers and prospects to ensure they understand the value of our solution
• Promote products and business solutions at conferences, forums, and seminars.
• Participate in regional industry events/organizations as a thought leader.
• Collaborate with a variety of internal functional areas to ensure solutions are implemented and supported in-line with client expectations.
• Provide input on product development or enhancements to existing products to product management function.

Requirements:

• At least 5+ years of experience in pre-sales engineering/solutions engineering working with a SaaS Cloud Security product - Security knowledge (is a must). 
• Fluency in English and French (is a must); fluency in Spanish (is a big advantage).
• Deep understanding of pre-sales engineering and sales stage processes
• Public Cloud (AWS/GCP/Azure hands-on) working knowledge/experience 
• Prior Hands on experience with scripting/programming languages with one or more languages such as Python , Powershell , bash , etc and APIs 
• Strong communication skills across internal and external stakeholders, including outstanding presentation skills for both technical and executive audiences
• Proven self-starter with a motivated attitude to be able to manage multiple tasks, projects, and responsibilities simultaneously
• Ability to work under pressure and meet deadlines, while maintaining a pleasant and professional attitude towards customers and co-workers
• Excellent knowledge and prior experience selling one or more cybersecurity solutions , including : SIEM , SOAR , EDR , Cloud Security , Email Security , etc
• Demonstrated success working with Fortune 1000 companies.
• Strong customer relationship and people skills as well as strong written communications and presentation skills.
• Ability to influence technical decision makers and executives.
• Ability to travel frequently.

Please apply if your experience is close but doesn’t fulfill all requirements. Torq is building an outstanding company. We are focused on hiring great people with different backgrounds, perspectives, and experiences to achieve our goals. As an equal opportunity employer, we are committed to a team defined and empowered by diversity. We consider qualified applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

By submitting your application, you acknowledge that Torq will process your personal data in accordance with Torq’s Privacy Policy.

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

The Team:

Join the Celonis Support Services team, part of a 3-Level Support model, as a dedicated 2nd Level Technical Support Engineer. You will be located in Madrid and report directly to the Director of Customer Support.

The Role:

As a Technical Support Engineer at Celonis, you are at the forefront of the intersection between enterprise-grade software and generative AI. Celonis enables global enterprises to realize the full value of AI, and we lead by example - integrating advanced AI tooling into our internal ecosystems to redefine the support experience.

We provide technical support across the full Celonis technical stack from infrastructure, front-end services through to automation and AI products. In this role, you won’t just be diagnosing and restoring complex technical issues, you will be an AI SME responsible for architecting the future of technical support. 

The work you’ll do:

Your responsibilities are focused on expert technical analysis, resolution of complex incidents, and driving continuous improvement in support operations:

• Provide 2nd Level technical support for customer issues across Celonis technical stack & products,
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• AI Workflow Automation and Modeling that will assist with trouble-shooting in reduce MTTR
• AI SME & Strategy - serve as the Subject Matter Expert for AI in Support, taking ownership of training models and providing feedback loops to improve quality.
• Drive Knowledge Centred Service and Continual Service Improvement initiatives leveraging AI tooling with a strong focus on AI driven solution
• Participate in a day-time hours on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Demonstrated prompt engineering skills for optimizing AI outputs.
• Experienced in troubleshooting AI products, including hallucinations, reasoning issues, misbehavior and building AI Automations and Modeling
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

Scopely is looking for an Engineer to join our Monopoly GO! team and work from Sevilla on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide.

What You’ll Do

• Contribute to the design, development, and scaling of gameplay systems, tools, and pipelines for Monopoly GO!, one of the world’s most successful mobile games
• Collaborate with designers, artists, data analysts, and other engineers to bring ideas to life and continuously improve the player experience
• Build clean, performant, testable code across a variety of systems — gameplay, LiveOps tooling, backend integration, and more
• Prototype new features, systems, and AI-assisted workflows that unlock speed and creativity across the team
• Learn from (and with) a world-class engineering org, while helping shape the future of how we work

What We’re Looking For

• Have solid programming fundamentals in any language and a passion for making things players love
• Being curious about how AI can improve creativity and productivity — whether it’s prompt workflows, automation, or integrating AI tools into content pipelines
• Think like a systems designer: how things scale, how they evolve, how to keep them clean and efficient
• Have experience with Unity and C#, plus relevant tools like Git, Docker, or cloud services
• Bring a unique lens — whether that’s a self-taught dev, a career hopper or even an entirely new creative discipline. The more unconventional the better

Bonus Points

• Contributions to creative or technical projects: games, tools, mods, art, code, anything you’re proud of
• Familiarity with backend systems, data pipelines, or infrastructure and observability
• Prior exposure to shipping live games, but we’re happy to teach you that part

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

We are looking for an AI Product Builder in Madrid: someone for whom thinking, designing, and building are not separate stages, but a single act. Someone who collapses the distance between idea and product until it becomes almost invisible. End-to-end, no intermediaries, no safe havens. You will work directly with the Data leadership and ship real impact from day one.

About the role

• Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact. No hand-offs.
• Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling as a native part of the product, not as a feature.
• Understand our business, our customers, our market, and the data behind our consumer product to delight users and achieve Fever's goals.
• Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate. Treat shipping as the way to think.
• Build prototypes and production-ready experiences yourself when needed, leveraging AI coding tools and modern development workflows to compress the idea-to-product cycle.
• Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance.
• Collaborate with stakeholders across Design, Growth, and the Tech team, working sid by side with a team of Software Engineers.
• Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls under uncertainty.
• Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship.

About you

Basic skills and qualifications:
• Bachelor's degree in Engineering, Computer Science, or a related field.
• 3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role).
• Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos.
• Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical.
• Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team.
• Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus.
• Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth.
• Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions.
• Proficiency in English; able to communicate complex technical and product ideas clearly to any audience, in writing and in person.
• High sense of ownership, urgency, and drive in a fast-paced, ambiguous environment.

Preferred skills and qualifications
• Hands-on experience with the modern AI stack: LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, agentic workflows, and AI coding tools.
• Experience designing and running evaluations for AI-powered features (offline and online), and reasoning about model quality, cost, and latency trade-offs.
• Background in tech startups, or a strong willingness to operate inside a fast-moving, high-ambition tech company.
• Track record of shipping products as a small team or solo: founder, early-stage employee, indie builder, or similar.
• Strong product taste and design sensitivity — you care about how things feel, not just whether they work.
• Experience formulating hypotheses, building lean validations, running A/B tests, and defining primary and guardrail metrics.
• Strategic sense: ability to collaborate in defining where the consumer product and its AI surface area should go in the next 1–3 years.
• Ability to build trust quickly across different levels of an organization and rally people around what you are building.

Why join Fever

• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

STAFF FULL STACK ENGINEER (Contract)

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Spain, Peru

Job Description

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

As a Staff Full Stack Software Engineer, you will be a prolific cross-functional contributor who leverages AI throughout your development workflow to demonstrate business and product awareness. You must bridge the gap between Product, Insurance, Data and AI to build a platform that feels like a single seamless experience. You're a go getter, love learning, use AI to think bigger and ship faster, and are a wonderful person to work with. You exemplify thoughtful action of what it means to be a great engineer and a presence the organization can rely on.

OUR AI-ENABLED CULTURE

At Counterpart, AI isn't a nice-to-have—it's how we work. We expect our engineers to leverage AI tools throughout their entire workflow: from problem analysis and architecture design, to code generation, testing, and documentation. If you're still writing most code by hand or treating AI as just an autocomplete tool, this role isn't the right fit. We're looking for engineers who use AI to think bigger, ship faster, and maintain higher quality standards.

What this means in practice:

• You use AI to explore solution spaces before writing a single line of code
• You leverage AI to generate a significant amount of your code while you focus on architecture, review, and problem-solving
• You've experienced significant productivity gains through AI-assisted development without compromising quality
• You treat AI coding assistants as essential tools, like your IDE or version control

YOU WILL

Below are some key projects we are working on. You will be a part of one or more of these objectives:

• Modernize insurance application workflows. We are enhancing our Django system to update and automate workflows for our Risk Engineering team. You will use AI-assisted development to rapidly iterate on key UI components and backend enhancements, delivering the best user experience possible at unprecedented velocity.
• Enhance productivity with AI. Collaborate with the Data and Risk Engineering teams to integrate AI into every part of our workflow. Create an AI platform to enhance adoption of agents. Wrangle data from docs, email, the web, and more into insightful, data driven actions. This isn't just about building AI features—you'll be using AI tools daily to accelerate your own delivery and collaborate more effectively.
• Enable small businesses to manage HR with modern software. Enhance our HR application to support its next phase of growth using AI-powered development to move faster than traditional development cycles.
• Emerging Products. Create new services to enable our Claims team to process a larger volume of complex claims across many different insurance lines. Use AI to rapidly prototype and iterate on solutions.
• Dev experience first. Work with engineering leaders to create an amazing remote dev experience. Establish AI-enabled development standards: how we use AI for code review, architecture decisions, test generation, and documentation. Define how we balance AI assistance with engineering judgment. This will have a huge impact on scaling with sustainable growth and workplace happiness.

YOU HAVE

AI-First Development Skills:

• Demonstrated proficiency using AI coding assistants (Claude, Cursor, GitHub Copilot, Windsurf, etc.) as core development tools, not just productivity aids
• Experience using AI for system design and architecture decisions, including prompt engineering for complex technical problems
• You utilize AI as a force multiplier to achieve development velocity and output levels that far exceed traditional manual coding standards
• Comfort with AI-first workflows: You regularly use AI for ideation, code review, debugging, test generation, and documentation

Technical Experience:

• Experience building and maintaining a service platform for human and programmatic users using AI-assisted development to accelerate delivery
• Lead, written, and executed product and technical design specifications
• 5+ years of experience with Python
• 2+ years of experience with Django
• 2+ years of experience with relational databases (we use PostgreSQL)
• 2+ years of experience with Typescript
• Experience working on a remote team

Who You Will Work With

• Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
• Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
• Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers—embracing structured chaos in all of it.
• Newton Troung, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
• John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
• Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly—we measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
• Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

WE OFFER

1. Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
2. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
3. Paid Vacation and Time Off
4. Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
5. Computer - We reimburse you for your locally procured Macbook Pro. If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

Highlights:

Role: Senior ML-Engineer

Location: Spain, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.

We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.

The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.

What You’ll Do

• Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
• Select the most appropriate ML/LLM approaches or propose alternative solutions.
• Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
• Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
• Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

Role: Senior ML-Engineer, Finance

Location: Spain, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

The AI era isn't coming, it's already here. At Manychat, we're building it into the foundation of everything  and we need an Applied AI Engineer to help make that real.

Your main focus will be AI agents and agentic workflows, LLM-powered system orchestration, and automation pipelines that integrate into the business processes that actually matter. You'll work across internal and customer-facing systems, writing production-grade code and partnering with product and business teams to turn complex challenges into reliable, scalable solutions.

We'd love to work with someone who brings more than strong engineering fundamentals. Someone with the product mindset to understand business context, the communication skills to work fluidly across teams, and the pragmatism to choose solutions that are effective and built to last. Ownership matters here: we're looking for someone who drives work from discovery to rollout, not someone who hands things off at the first checkpoint.

If success for you means identifying real AI use cases, building things that work reliably at scale, and being a trusted technical partner to the teams around you, let’s talk! 

WHAT YOU'LL DO 🚀

• Design, build, and maintain AI-driven services and agent-based solutions for workflow and business process automation.
• Develop orchestration logic across LLMs, internal services, APIs, databases, and third-party platforms.
• Build backend components for AI products and automation pipelines using TypeScript and Node.js.
• Integrate AI-powered workflows with CRM, ERP, ticketing, knowledge management, communication, and other business systems.
• Implement and improve RAG, tool/function calling, memory/state handling, evaluation, and monitoring for AI use cases.
• Partner closely with Product Managers, domain experts, and business stakeholders to identify high-impact use cases and translate them into technical solutions.
• Contribute across the full product lifecycle: discovery, prototyping, production delivery, and iteration.
• Ensure production quality through testing, observability, reliability, security, performance, and cost awareness.
• Document architecture, technical decisions, and tradeoffs, and communicate them clearly to both technical and non-technical stakeholders.

TO SHINE IN THIS ROLE 💥

You'll need:

• 3 – 5 years of experience in software engineering, backend engineering, or applied AI engineering.
• Strong hands-on experience with TypeScript and Node.js in production environments.
• Experience building backend services, APIs, and integrations.
• Practical experience with LLM-based applications, AI automation, or agentic workflows.
• Solid understanding of RAG, prompt engineering, tool/function calling, and context management.
• Experience working with SQL/NoSQL databases and external APIs.
• Understanding of reliable backend patterns such as async processing, retries, queues, idempotency, and error handling.
• Ability to understand business workflows and translate ambiguous requirements into clear technical solutions.
• Experience collaborating with product teams, analysts, operations, and other stakeholders.
• Strong communication skills and the ability to explain complex solutions to both technical and non-technical audiences.

IT WOULD BE GREAT IF YOU HAVE 🤩

• Experience with LangChain, LangGraph, OpenAI SDK, LlamaIndex, or similar frameworks.
• Experience with workflow and orchestration tools such as n8n, Temporal, or event-driven systems.
• Familiarity with PostgreSQL, Redis, Kafka, BullMQ, or similar technologies.
• Experience with vector databases such as pgvector, Pinecone, Qdrant, or Weaviate.
• Experience with Python in AI/ML-related use cases.
• Experience with Docker, cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.
• Exposure to observability and evaluation tooling for AI systems.
• Understanding of security, privacy, and governance considerations for AI-driven business systems.

Tech Stack

• Core: TypeScript, Node.js
• Backend: NestJS, Express, or similar frameworks
• AI/LLM: OpenAI API, Anthropic API, LangChain, LangGraph
• Data/RAG: PostgreSQL, pgvector, Redis, vector databases
• Integrations: REST APIs, webhooks, third-party SaaS platforms

Infrastructure: Docker, cloud services, CI/CD, logging and monitoring

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

Location: Spain

What are we looking for:

We are looking for an AI Software Engineer with an AI-First mindset, focused on leveraging AI to optimize workflows, automate processes, and enhance applications. This role does not involve training models from scratch but instead focuses on implementing and integrating existing AI models and APIs into real-world applications.

What would you do at Fever?

• Configure and implement applications using Large Language Models (LLMs) and other Generative AI models (multimodal, AI agents, etc.).
• Integrate AI APIs and tools from providers like OpenAI, Anthropic, Google, Meta, Hugging Face, Stability AI, and others.
• Continuously improve and experiment with new AI architectures, frameworks, and best practices.
• Collaborate with development teams to incorporate AI-powered functionalities into the engineering processes and tools.

On your first month in Fever:

• Fully integrate into the team, participating in planning, reviews, and retrospectives while getting to know different departments within the company.
• Familiarize yourself with our tech stack, CI/CD workflows, and cloud infrastructure that support our operations.
• Have multiple Pull Requests (PRs) merged and running in production.
• Attend some of Fever’s original experiences, such as Candlelight.

After 3 months in Fever:

• Be actively involved in AI-powered automation, improving processes and workflows across engineering and product teams.
• Work on integrating LLMs and AI APIs into internal and external applications, ensuring smooth adoption of AI capabilities.
• Implement prompt engineering strategies to optimize AI responses and performance.
• Participate in hackathons and innovation days, collaborating with cross-functional teams.

On your 6th month in Fever:

• Own multiple AI-powered projects, optimizing engineering productivity and automation.
• Experiment with new architectures, frameworks, and best practices to enhance automation.
• Mentor and guide other engineers on AI adoption, best practices, and effective implementations.
• Help shape Fever’s AI strategy, ensuring ethical and efficient AI deployment.

About you

Must have skills:

• Bachelor’s and/or Master’s degree in Artificial Intelligence, Data Science, Mathematics, Physics, or Engineering fields.
• Programming: Strong proficiency in Python
• LLM Experience: Hands-on experience with integration of LLM into existing or new applications.
• Generative AI Techniques: Experience applying Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning.
• Production Deployment: Experience with Continuos integration and continuos deployment pipelines to take the code from development to production and monitoring

We use these technologies, so it would be a plus if you have experience in:

• Python - Django/Fast API
• Event-driven-architectures and highly distributed services. 
• Cloud Infrastructure on AWS
• Docker, Kubernetes, Terraform
• Datadog

Benefits & Perks

• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly anywhere in Spain
• Relocation package for international candidates
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English Lessons
• Wellhub Membership
• Possibility to receive in advance part of your salary by Payflow.
• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance and Stock Options

About the Role

We're looking for a curious, technically-minded problem solver — not someone to just close tickets.

You'll troubleshoot complex customer issues across voice, messaging, APIs, IoT, and AI products, digging into networking problems, debugging integrations, and analysing logs alongside engineering teams. But this role goes further: we're building an AI-first support model, and as you develop product expertise, you'll help shape it — building bots, automating workflows, and turning repetitive tasks into cron jobs. If you've ever spotted a repetitive task and actually built the fix for it, you'll fit right in. A background in software engineering, networking, or a related technical field (however you got there) is ideal — We care about what you can do, not where you learned it.

What You'll Do

• Troubleshoot: complex customer issues across networking, APIs, and communications products
• Investigate: using tools like Postman, cURL, Wireshark, Linux terminal and our internal tooling
• Collaborate: with customers, vendors, and engineering teams to resolve cases
• Automate: contribute to bot-building and workflow automation
• Document: solutions and improve self-service resources
• Learn: VoIP protocols, internal systems, and new technologies as the role evolves

Your Toolkit

• Troubleshooting: Postman, cURL, Wireshark, sngrep, Linux terminal
• Ticketing and Comms: Zendesk, Slack
• Collaboration: Google Workspace (Gmail, Calendar, Docs, Sheets, Meet)
• Automation: n8n, Zapier, OpenClaw (internal AI platform), scripting (Python, Bash, etc.)
• Version Control: GitHub
• Analytics: Metabase, Graylog, Jira

What We're Looking For

Must-Have

• Background in Computer Science, IT, networking, or equivalent hands-on experience
• Networking fundamentals: solid understanding of how the internet works, including DNS, routing, IP addressing, and HTTP/HTTPS
• API experience: comfortable with REST APIs, webhooks, and tools like Postman or cURL
• Linux terminal proficiency: comfortable navigating filesystems, reading logs, and running commands
• Problem-solving mindset: you dig into issues, ask good questions, and don't give up easily
• Communication skills: you'll need to be highly proficient in English, both written and verbal - owning customer communication and technical documentation from day one

Nice-to-Have

• Familiarity with scripting or programming (Python, Bash, JavaScript, or similar)
• Understanding of AI concepts such as RAG, MCPs, embeddings, and prompt engineering
• Experience using n8n, Zapier, Git/GitHub, or similar

You don’t need to tick every box -  if you’re keen to learn that's the box that matters most ! 

This role operates on Central Time (UTC-6), 9am–6pm Monday to Friday

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

AI features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.

We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.

In this role, you will:

• Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
• Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.
• Experiment with contexts and lightweight models to continuously develop our ML system.
• Act as the ML liaison for product teams across JetBrains, adapting and scaling AI capabilities in JetBrains IDEs to their needs.
• Build and maintain small helper models (e.g. re-rankers, classifiers, embedding models) to support domain-specific tasks.
• Collaborate with colleagues in ML, product, engineering, and analytic teams to deliver improvements and monitor their impact in production.
• Stay up to date with research in the fields of LLMs, agents, and evaluation, bringing best practices into our workflows.
• Mentor junior engineers and help shape team culture, processes, and tooling around experimentation and evaluation.

We’d be happy to have you on our team if you: 

• Have 5+ years of experience as an ML Engineer, with a solid background in production-grade ML systems (especially LLMs and agent architectures).
• Have experience with LLM evaluation methods and frameworks.
• Can design and run end-to-end experiments – hypotheses, metrics, data collection (including traces/logs), analysis, and decision-making.
• Are skilled in context-aware pipelines or conversational/agent systems.
• Have strong Python programming skills.
• Bring hands-on experience in fine-tuning or training smaller models (e.g. domain-specific fine-tuning and lightweight customizations).
• Communicate clearly and effectively across teams, translating ML/AI insights into product features.
• Have prior mentorship experience with ML/evaluation engineers.
• Thrive in a cross-functional, fast-moving environment, taking ownership, iterating quickly, and delivering results.

We’d be especially thrilled if you have: 

• Familiarity with agent-based systems and orchestrating multi-step reasoning agents.
• Experience with the Kotlin programming language.

#LI-MR1