Are you ready to thrive in a dynamic and exhilarating environment where you'll be entrusted with significant responsibilities? Are you seeking to join an extraordinary team of young, motivated, and highly ambitious individuals? If you have a genuine passion for connecting with people and driving remarkable outcomes, then you could be the perfect fit for our AI Implementation Specialist position.

About us

We are on a mission to help consumers save time and money by matching them with the best products for their needs with banking, insurance and utilities. Samlino Group (https://samlinogroup.com/) operates across three markets, we empowered over 10 million users last year alone, propelling them toward living healthier financial lives.

What we offer you

As our AI Implementation Specialist, you get the unique opportunity to be a key driver of our exponential growth curve. Sunny Lisbon will be your home base, but you’ll travel to and work with our three markets! In order to do that you will:

• take a front-row seat to the agentic revolution, working with frontier LLMs and advanced autonomous frameworks like OpenClaw to build AI that actually acts

• lead the deployment and integration of artificial intelligence solutions

• bridge the gap between AI research, software engineering, and product implementation

• ensure that AI models and systems are successfully adapted

• work closely with our software developers and team leads to design scalable AI workflows

• integrate models and ensure performance, reliability, and alignment with our business goals

What we expect from you

We are seeking a dynamic individual who thrives in a results-oriented environment to join our team and help us reach our objectives. Industry experience is not a requirement, but you do need to be highly ambitious, proactive, forward-thinking, a fast learner, and driven to succeed.

Furthermore, we are looking for candidates who:

• Have proactive mindset, strong analytical skills, and the ability to collaborate effectively with cross-functional teams
• Familiarity with machine learning frameworks
• Experience with cloud platforms and containerization tools
• Understanding of APIs, RESTful services, and microservice architecture
• Fluency in Portuguese and English and an EU work permit is required.

What we offer

• Access to Premium AI Infrastructure. Work with an elite toolkit including OpenClaw for local-first agent orchestration and a diverse range of frontier LMs
• Collaborative and innovative team environment
• Involvement in high-impact projects across industries

Start date and Travel

Flexible start date.

This role will cover all three markets, so regular travel will be part of what we have in mind for you! It will also include extended stays working hands-on with the teams in the different locations.

#LI-Onsite

About the role:

Our Customer Support Team is here to deliver first-class support in a simple, effective, and timely manner to our growing Dashlane community. Your day-to-day will be focused on handling technical queries from our customers through a wide range of channels including email, chat, phone, and social media. Those queries could range from account questions, billing-related inquiries, and support ranging from basic how-to questions about the app to more complex questions that may require escalations.

We are looking for people who are passionate about helping others and are interested in technology and the latest technology trends.
This is the perfect role for someone who already has a strong background or relevant experience in technical customer support and who has ideally worked in customer-facing roles.

If that's who you are, and if you are eager to join a fast-growing company, this might be your next challenge.

What else do you need to know?

• Full-time 8h/day between Monday to Sunday, including weekends and bank holidays with rotative days off (40hrs a week)
• Rotative shifts position (Lisbon time) 
  • Morning shift comprised between 9am and 6pm
  • First afternoon shift comprised between 1pm and 10pm
  • Second afternoon shift comprised between 3pm and 12am 
  • Night shift comprised between 12am and 9am 

Location-Specific Information:

You will be based in Lisbon, with English as your working language. We offer a hybrid work arrangement, with Monday, Tuesday, and Thursday as in-office company days, where we collaborate together and enjoy a company-sponsored meal on one of those days.

At Dashlane you will:

• Respond to B2C and B2B customers' questions rapidly and clearly - this entails questions related to the Dashlane app and will also be providing technical support towards account/login/billing-related issues
• Take ownership of solving a wide range of customer queries that come through email, chat, and social media with effective probing, and troubleshooting so you can isolate, investigate and resolve the issue
• Comply with and suggest improvements for ticket categorization and issue identification guidelines but also with the Dashlane and quality expected from our standards of service
• Reach for productivity and quality KPIs aligned with the team goals by resolving all questions and concerns
• Play a big role in sharing relevant feedback with the product team and hence in shaping the Dashlane product
• Help update/create content for our internal knowledge base and our help centre, making your job and that of your peers easier in the future
• Test and reproduce issues to troubleshoot and help the Dashlane product team identify and fix bugs
• Be the voice of our customers: raise their concerns or new feature requests/feedback to our product and engineering team
• Work closely with the Level 2 and Level 3 support teams to improve overall product knowledge, and to escalate more complex issues that require Senior expertise

To accomplish the above, you will work cross-functionally with different teams such as Engineering, Development, Product, and QA.

Requirements:

• You have 1 year of experience in technical customer support and; potentially with B2B customers
• You have 1+ years of experience providing online customer support in English, preferably in a SaaS environment or a tech company
• Excellent spoken and written English

We’re also looking for:

• The ability to communicate technical topics to customers and coworkers simply and clearly in English via email, chat, and/or phone.
• Quality-driven people with a passion for creating extraordinary customer experiences while being able to help their team achieve efficiency and productivity objectives.
• The ability to use support platforms such as Zendesk (ideally, as a plus you are familiar with Slack as an internal communication tool and Atlassian as a Knowledge Base interface).
• Experience in managing support tickets throughout the entire support lifecycle from initial customer inquiry to triage and reproduction, writing bug reports for handoff to the product/development team, and resolution.
• Prior experience working with tech teams like developers/engineers and QA.
• Prior experience troubleshooting technical issues that can arise on web apps, mobile apps, local software, and web extensions.

What Dashlane offers you:

• Flex Benefits - allocate a monthly amount to a pool of benefits
• Health insurance covered by Dashlane
• 5 extra vacation days each year, plus your birthday off
• Company wide well-being days (one per quarter)
• Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption
• Donation matching program -  Dashlane will match your donations to organizations driving positive impact in historically marginalized communities
• Access mental health services through Spring Health, available for you and your family members
• Team building & social events - weekly lunch in the office and monthly happy hour
• and much more

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

This role is suitable for experienced Data Engineers with 3 years plus of experience, so only apply for this role if your experience matches that criteria. This is a Data Platform Engineering role sitting within our Platform Engineering department, alongside our Infrastructure and Dev Platforms teams. You will be building the data platform that the rest of DataCamp depends on, not doing analytics work for a single business unit.

DataCamp, being a data-driven organization, runs a Datalakehouse on Google Cloud's BigQuery and our reporting is created using our Looker BI tooling. This BI reporting capability helps the DataCamp leadership team steer the company OKRs and vision, and it also helps our engineering teams make data-driven decisions on everything we do. Data also helps us measure how successful our product features or initiatives have been.

To provide data analytics for all our staff, DataCamp has a completely automated data pipeline built using an "infrastructure as code" methodology with Terraform and Ansible, which allows infrastructure provisioning of all data engineering tooling. DataCamp operates a data pipeline that ingests data using Airbyte, and our Airflow cluster schedules a series of tasks each day to transform and clean our data and seed our data marts that are authored using DBT, which helps simplify reporting for each of our business units.

DataCamp currently has data marts for finance, engineering KPIs, engineering costs, and infrastructure cost, to make reporting as easy as possible for our stakeholders in those business units, and we aim to extend that offering. DataCamp's leadership team, data scientists, data analysts and engineers all require the latest datasets to be refreshed on a daily basis so they can do their daily tasks. It is expected that the data platform engineering team makes sure there are no issues with the daily refresh of data and also provides consultancy on best practices such as data ingestion, data mart design, or data product design.

A large part of this role is enabling AI agents and MCPs across the company. We are in a strong agent-first engineering push at DataCamp. That means the data platform is no longer just serving humans through Looker dashboards, it is serving Claude, Claude Code and other agents through MCP servers that expose BigQuery, dbt metadata, data marts and internal tooling in a safe, governed way. You will be building and maintaining those MCPs, shaping how teams across DataCamp get data into their agent workflows, and setting the standards for how agent-authored changes land in our data platform.

What to expect from DataCamp if you join us as a Data Engineer

It will be your role, as part of the Platform Engineering department, to work directly with our staff data engineer, the wider platform engineering teams, our data science and analytics teams, and stakeholders across product and engineering on all data initiatives, both internally and as part of DataCamp's data products.

You should join us at DataCamp if you want to be fully supported in learning how to create and maintain best-in-class data platform engineering processes in an agent-first environment. If you enjoy learning in a team environment, our data and platform experts will be on hand to provide a support network to help you in your career development. You will also be empowered to have creative freedom to shape the processes and roadmap for data platform engineering at DataCamp, including how we expose data to agents, how we govern agent access to production data, and how we measure the impact of agent-assisted data work.

You will spend a meaningful portion of your time working with and through AI agents, writing AGENTS.md specifications, building MCP connectors, designing skills, and using Claude Code day to day to move faster on pipeline work, dbt changes, and operational tasks. If all of this sounds exciting, then this could be the ideal job for you. We don't expect you to know everything when you join, but we want you to be as passionate about data and agent workflows as we are. What we expect in return is that you are naturally inquisitive, open to constructive feedback, and willing to learn and grow every day.

This role should give you a collaborative working environment to become a world-class data platform engineer and help you in your career. Our aim is for you to build the skills needed to consult and advise on data mart design, data product design, MCP architecture, and how to leverage AI agents to improve our internal processes. You will also be involved in helping our content team provide data engineering courses on Redshift, BigQuery, Snowflake, and all the different widely used data warehousing tooling. This may sound like a lot, and it is, but within our Platform Engineering department we are confident we can support you every step of the way and we can achieve these outcomes as a team.

What do we expect from you as a Data Engineer

DataCamp has a strong bias towards providing self-serve systems for our teams so they can access the data they need to make data-driven decisions. That bias now extends to agents, where teams should be able to reach data through MCPs without us becoming a bottleneck. This means the data pipeline, MCP surfaces, and data development process need to be available, governed, and functional rather than a central bottleneck in the company.

You will, under the guidance of our staff data engineer, play a key part in planning future improvements for our whole data platform: the pipeline itself, the data development process, the testing process for data changes, and the agent and MCP surfaces that sit on top of it.

We need you to be enthusiastic and proactive by owning your day-to-day work or any operational issues that occur. We aim to do 80 percent capability development via planned quarterly OKR work and 20 percent support work. This work balance can only be achieved by automating everything we do and by leaning hard on agents to remove toil. We believe Data Platform Engineering should be a force multiplier for the business — both by giving humans self-serve data and by giving every team a reliable agent-accessible path to the data they need.

To be successful in the role it is essential you know Python and can write and advise on SQL best practices. Having an understanding of data ingestion, data processing, reverse ETL, a passion for data governance, and acting as a gatekeeper for security on our data platform is also a must. Comfort working with and through AI agents, not just using them to autocomplete, but designing workflows around them is also essential.

The ideal candidate

• Is an experienced Data Engineer of 3 years plus.
• Has experience of data warehousing (e.g. BigQuery or Snowflake) and data engineering related tools (e.g. Airflow, Looker, Metabase, Fivetran, Airbyte).
• Has knowledge of cloud platforms (AWS, GCP or Azure).
• Can develop in Python and write SQL.
• Has hands-on experience using AI coding agents (Claude Code, Cursor, or similar) as part of their day-to-day engineering workflow.
• Understands what MCP is, or is willing to learn it fast, and can reason about how to safely expose data and tooling to agents.
• Understands Scrum and Kanban.
• Has excellent oral and written communication skills, including the ability to write clear specifications for agents (AGENTS.md, skills, prompts).
• Is interested in understanding and scaling complex data pipelines.
• Is interested in monitoring and self-healing systems.
• Is highly organized with a flexible, can-do attitude and a willingness and aptitude for learning.
• Improves the team with code reviews, technical discussions, and documentation — including reviewing agent-authored PRs with a critical eye.
• Is able to work collaboratively in teams and develop meaningful relationships to achieve common goals.

It's a plus if

• You have experience in dbt.
• You have experience in Docker, CI/CD, Kubernetes.
• You have experience of data marts.
• You have experience with Infrastructure as Code (Terraform, Ansible, etc.).
• You have built or contributed to an MCP server, or integrated one into an agent workflow.
• You have experience with data catalog and governance tooling exposed through agent interfaces.
• You are passionate about data science, education, and applying AI agents to real engineering problems.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.

Role Summary

As a Senior Data Scientist at ComplyAdvantage, you will lead the development and refinement of sophisticated data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, where you will spend 80% of your time conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value over 3-6 month horizons. In addition to driving deep-dive R&D, you will provide expert advisory support and technical leadership to Product and Engineering teams. By leading AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features while mentoring more junior members of the tribe.

Key Responsibilities

• Lead R&D in GenAI and Agentic AI: Design and prototype high-impact, novel solutions for financial crime detection, focusing on multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Drive Production Excellence: Partner with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will define the standards for reliability, scalability, and ethical AI performance, ensuring research prototypes transition into robust, production-grade solutions.
• Establish Evaluation Frameworks: Lead the development of robust evaluation methodologies for LLM and agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.
• Evaluate Model Context Protocol (MCP): Research applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.
• Strategic Data Insights: Conduct advanced exploratory analysis across multiple data sources to uncover insights that directly influence product development decisions and agent behavior.
• Research & Innovation: Continuously research and evaluate emerging tools and best practices in data science and Agentic AI to keep ComplyAdvantage at the forefront of the field.
• Technical Leadership & Mentoring: Engage across multi-disciplinary teams to share expertise, perform code reviews, and provide career development support to junior data scientists.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
• Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
• Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
• Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
• Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
• Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.

Preferred Qualifications

• Experience delivering machine learning solutions and integrating into data pipelines.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex GenAI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, mastered our data landscape, and begun contributing to active research projects while building relationships with key stakeholders.
• In 6 months: You have delivered your first significant research project with measurable impact and established yourself as a technical leader and effective mentor.
• In 12 months: You have led multiple successful R&D initiatives that have shaped our technical roadmap and been recognized as a subject matter expert who empowers other teams.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

Role Summary

As a Data Scientist at ComplyAdvantage, you will develop and refine data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value. In addition to deep-dive R&D, you will provide advisory support to Product and Engineering teams. By investing in AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features.

Key Responsibilities

• Advance R&D in GenAI and Agentic AI: Develop high-impact prototypes for financial crime detection, leveraging multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Contribute to Core Solutions: Collaborate with Engineering and Product to integrate and optimise AI components and frameworks into existing and new product features, ensuring reliability, scalability, and ethical performance in production.
• Evaluate LLM-based Systems: Contribute to the development and implementation of robust evaluation methodologies for LLM and agentic AI based systems, tracking key metrics related to task completion, reasoning accuracy, tool effectiveness, and overall reliability.
• Evaluate Model Context Protocol (MCP) applications: Connect our AI systems with external data sources and tools and provide recommendations for engineering implementation
• Data Understanding: Develop a solid understanding of our existing data sources, identifying challenges and suggesting potential improvements.
• Data Analysis: Use exploratory data analysis and data mining techniques to identify actionable insights for product improvement, including patterns that can inform and refine agent behavior and prompt engineering strategies.
• Research & Innovation: Continuously research and evaluate emerging tools, technologies, and best practices in data science, especially within the rapidly evolving field of Agentic AI, to keep ComplyAdvantage at the forefront.
• Cross-Functional Collaboration: Engage effectively with multi-disciplinary teams to actively share best practices, expertise and inspire innovation to foster an AI-first culture across the organization.
• Visualization & Roadmapping: Provide clear data insights and visualizations that will act as a basis for new ideas to be integrated into our product roadmap.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 2-4 years of professional experience in data science or a related field, with a demonstrated ability to contribute to impactful data-driven solutions.
• Proficiency in Python, including experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Hands-on experience with modern machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with the foundational concepts of agentic AI and large language models (LLMs). This can be professional or through personal research.
• Basic understanding of popular agentic AI frameworks (e.g., LangChain, Pydantic AI).
• Knowledge of general evaluation techniques for AI models and an eagerness to learn and apply methods specific to agentic systems.
• Ability to communicate complex technical concepts effectively to a variety of stakeholders.
• Strong passion for data and solving challenging real-world problems using algorithms.

Preferred Qualifications

• Prior experience contributing to the deployment and integration of machine learning models into production data pipelines.
• Exposure to Big Data platforms such as Spark.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex AI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, gaining a clear understanding of our data landscape and current AI frameworks. You are actively contributing to R&D experiments and have established collaborative working relationships with peers in Engineering and Product.
• In 6 months: You have delivered your first significant R&D prototype or technical evaluation. You have begun contributing to our AI Enablement workstreams, perhaps by authoring a technical blog post or internal guide that translates your research findings into actionable knowledge for the wider team.
• In 12 months: You have completed multiple R&D initiatives that have shaped our technical roadmap. You are recognized for empowering other teams through your advisory support and quantitative expertise, consistently providing the "AI-first" insights that help Engineering and Product teams scale high-impact features.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

At DataCamp, we are on a mission to make Data and AI training available to everybody. As a Senior Frontend Platform Engineer, within our Developer Platforms team, you'll be at the intersection of UI consistency and architectural excellence, utilising AI agents to enable this. You won’t just be building a React component library, you’ll contribute and shape the  frontend developer experience at DataCamp. This means evolving our Design System, optimizing our microfrontend architecture, and ensuring that product teams can ship high-quality features while using AI agent workflows to ensure it is done with speed and autonomy. You are a generalist who loves the craft of UI but understands that a great component is only useful if the surrounding architecture is performant and easy to use.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Design-Engineering Collaboration: Collaborate with designers and product managers to transform Figma prototypes into React/TypeScript components. Ensure these components are easy and straightforward to implement by product teams to enable fast and efficient adoption.
• Component Library Ownership: Develop and maintain a scalable internal UI component library that adheres to company design guidelines, continuously evolving components to ensure consistency and meet emerging product needs. 
• AI Agent-Driven Development Operations: Own and operate AI agent workflows that accelerate frontend platform delivery. This includes designing, configuring, and orchestrating AI coding agents (Claude) to automate repetitive component scaffolding, design token generation, accessibility audits, and code migration tasks. You will evaluate agent output quality, define guardrails, create agent skills and continuously improve prompting strategies and agentic pipelines to ensure agents produce production-ready, design-system-compliant code at scale.
• Accessibility Compliance: Optimize design system components for accessibility (WCAG) through implementing proper semantics, ARIA roles, keyboard navigation, screen-reader support and other comprehensive accessibility compliance guidelines. Conduct an annual accessibility evaluation of important key pages and support teams identifying and fixing accessibility issues..
• Full-Stack Frontend Support: Act as a “Consulting Engineer” for product teams. Help teams architect complex features, debug performance issues in their apps, and provide guidance on best practices beyond just UI components.
• Drive Adoption & Developer Experience (DX): Move beyond just documenting components. Build tools, CLI utilities, or starters that make it "easy to do the right thing." You’ll bridge the gap between our platform and product teams, ensuring the Design System is integrated deeply into their workflows.
• Performance Monitoring & Optimization: Monitor UI component performance in real use, optimizing for efficiency by tracking bundle sizes, render times, and frontend performance. Proactively diagnose and resolve performance bottlenecks while contributing to architectural improvements to keep the frontend platform and design system fast and lightweight.
• Frontend architecture and microfrontends: Contribute to improving our frontend architecture (Microfrontends based on SingleSPA) by collaborating with your peers in the Developer Platforms team. You’ll help maintain and evolve our frontend architecture to ensure it remains performant, future proof and easy to work with for product teams. You ensure flawless integration and interoperability of our Design System within our microfrontends architecture.

Qualifications

• Extensive Frontend Experience (React & Javascript/TypeScript): 5+ years of hands-on frontend development, with strong proficiency in modern JavaScript/TypeScript, React, Emotion and modern CSS. You should be very comfortable building complex UI components and applications using this stack.
• Design System & Component Library Expertise: Proven ability to design, build, and maintain a reusable UI component library or design system at scale. This includes experience creating reusable React components and evolving them over time to meet product and technical needs.
• Web Standards & Accessibility: Expert knowledge of web standards and accessibility best practices (WCAG 2.x) to ensure Design System components and apps built with these components are usable by all our users of all levels of ability. 
• Responsive Design: Deep understanding of responsive design and layout principles and techniques. Flexbox and Grid have no secrets for you. Graceful degradation and responsive design are your default.
• Build Tools: Proficiency in modern frontend build tools (Vite, Webpack, Yarn/npm) and CI/CD pipelines is crucial. You have a deep understanding of package versioning and distribution strategies (Semantic Versioning, NPM/Artifactory). You are comfortable managing how shared libraries and components are consumed across a distributed ecosystem of independent repositories, ensuring seamless updates and backward compatibility across the platform.
• AI Agent Tooling & Agentic Workflows: Hands-on experience designing, configuring, and operating AI coding agents and agentic pipelines in a frontend or platform engineering context. This includes working with tools such as Cursor, GitHub Copilot, Claude, or similar, and going beyond basic autocomplete.
• Testing & Quality Assurance: Experience writing automated tests for UI components. This includes unit and integration testing (e.g. with Jest, React Testing Library, Vitest, Playwright, Cypress, etc.) and using tools like Storybook for isolated component development and visual regression testing. A quality-driven mindset is key to ensure the component library is reliable and bug-free.

Non-Technical Competencies

• Ownership & Autonomy: A proactive and self-motivated engineer who takes responsibility for the quality and evolution of the design system. You are comfortable working independently on technical decisions, while partnering closely with engineering leadership and cross-functional peers to align with broader goals. You help shape the roadmap through experience, gathered feedback and experimentation. 
• Communication & Cross-Functional Collaboration: Excellent communication and documentation skills are essential. You will sit at the intersection of design and engineering, acting as a bridge between teams. This means clearly articulating technical constraints to designers, gathering requirements from product teams, and writing guides or tutorials to help engineers adopt the Design System. 
• Design System Evangelism: Ability to advocate for the design system’s adoption and best practices across the organization. This includes championing a consistent UI and high-quality code through activities like code reviews, knowledge sharing sessions, workshops, and maintaining active communication channels (e.g. Slack or office hours) for design system users.
• Attention to Detail & Quality Mindset: A keen eye for detail in both design and code. The ideal candidate ensures that every component accurately matches design specs and follows coding best practices (e.g. DRY principles and pattern-based implementations).

It’s a plus if you …

Even though they’re not must-haves for the job, having experience with any of these technologies or practices will give you an edge over the competition.

• Have knowledge of microfrontend patterns and architecture (SingleSPA, Module federation)
• Have experience with Infrastructure as Code (Terraform, Ansible)
• Know how to configure and manage a CI/CD pipeline (CircleCI, Concourse)
• Have an understanding of DevOps and internal developer platform engineering practices
• Have knowledge of performance, monitoring, observability, and developer experience metrics
• Have Experience building self-service tools for developers
• Have worked with or contributed to a Developer Portal like backstage.io
• Have experience or experimented with AI design and coding tools.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!