We are looking for someone to join our Data department as a Data Engineer, helping us manage the integration and consolidation processes of our clients' data. In both on-premise and cloud environments, you will be responsible for designing the required information system architecture and managing and maintaining our clients' databases.

We’re looking for a proactive and analytical person who can adapt to a multidisciplinary team and is eager to help us tackle the many challenges our clients face.

What are we looking for?

Education:

• University degree in Computer Science, Software Engineering, or related fields with a technological specialization in data analysis and engineering.
• Plus: Master's or postgraduate degree in Big Data, Machine Learning, Cloud Computing, or Data Engineering.
  
  

Required Experience (demonstrable and advanced):

• Data Architecture & Systems: Extensive experience in designing, implementing, and optimizing complex, distributed information system architectures, including relational and NoSQL databases.
• Cloud Environments: Deep expertise in defining, implementing, managing, and maintaining enterprise-scale Cloud environments. Expert command of Azure and Google Cloud Platform (GCP), including PaaS/SaaS, serverless computing (Functions, Cloud Run, Azure Functions), containers (Docker, Kubernetes/AKS/GKE), and native cloud data services.
• Modern Data Warehouses: Advanced experience with cloud-native Data Warehouses like Snowflake, including dimensional data modeling, query optimization, and cost/performance management.
• Data Orchestration & Pipelines: Robust experience with data orchestration tools and building complex ETL/ELT pipelines using Pentaho, Apache Airflow, Data Factory, or similar, including CI/CD implementation for data pipelines.
• Advanced SQL: Demonstrable experience with advanced SQL, including complex analytical functions, query optimization, stored procedures, and efficient schema design.
• Software Development: Demonstrable experience with Javascript and Node.js, and Python for scripting, data automation, and ML model development.
  
  

Desired Experience:

• Customer Data Platforms (CDP): Experience in strategic definition, implementation, management, and maintenance of CDP solutions, preferably Segment, and their integration.
• Enterprise System Integration: Desirable experience with enterprise-level integration tools like Mulesoft or microservices architectures with REST/GraphQL APIs.
• Salesforce Ecosystem: Valuable experience working with Salesforce (Sales Cloud, Service Cloud, Marketing Cloud – SFMC), including data integration and automation.
  
  

Knowledge (Essential and Valuable):

• Deep knowledge and certifications in managing and optimizing cloud environments (Azure, GCP).
• Advanced knowledge and certifications in Snowflake (SnowPro Advanced/Architect is a plus).
• Proficiency in CDP tools (especially Segment).
• Knowledge of CRM / Marketing Automation tools (SFDC, SFMC, Adobe Campaign, Selligent Marketing Cloud).
• Advanced SQL knowledge (Analytical Functions, T-SQL, PL/SQL).
• Proficiency in programming languages like Javascript, Node.js, and Python.
• Strong understanding of Data Quality principles, Data Governance, and Normalization.
• Solid understanding of Machine Learning and AI algorithms for data enrichment and transformation.
• Experience with data streaming architectures (Kafka, Pub/Sub, Azure Event Hubs).
• Familiarity with MLOps and DataOps concepts.
  
  

Skills:

• Ability to analyze and solve complex problems.
• Project management and organizational skills for end-to-end data projects.
• Meticulous attention to detail and commitment to data quality.
• High capacity for discernment and prioritization in dynamic environments.
• Technical leadership and mentoring of junior profiles.
• Strategic thinking and innovation-oriented mindset.
• Excellent communication and presentation skills for clients and multidisciplinary teams.
  
  

Languages:

• Spanish (Native or Bilingual proficiency).
• English (High level C1/C2 - Essential for communication with international clients).
  
  

What would you do in this role? Here’s a list of responsibilities and tasks:

• Lead strategic requirements gathering, high-level design, and implementation of complex data solutions for client communication initiatives.
• Design and evolve scalable, efficient data architectures, selecting appropriate cloud-native technologies for each project.
• Design, develop, and optimize ETL/ELT data integration processes to ensure high-quality data ingestion, transformation, and availability.
• Implement end-to-end data solutions, ensuring validation, thorough documentation, and adherence to best practices in data engineering and security.
• Provide training and knowledge transfer to internal teams and clients.
• Maintain, evolve, and optimize existing data projects, ensuring monitoring, incident resolution, and continuous improvement.
• Manage and optimize client databases, ensuring performance, integrity, and security.
• Innovate with AI/ML: Implement data cleansing, normalization, consolidation, deduplication, and enrichment systems using ML/AI algorithms, including predictive scoring and customer clustering.
• Ensure Data Quality and Governance: Implement DQ mechanisms, guarantee data integrity, and ensure GDPR compliance across all processes.
• Strategically collaborate with clients: Participate in high-level meetings to assess current information system architectures, propose innovative improvements, and lead solution definitions for future challenges and new data platforms.
• Mentor and guide other data engineers, fostering best practices and professional development.
  
  

And since you'll give this and much more, we also want to give you much more:

• A dynamic and creative work environment.
• Important clients and international brands.
• Full-time position.
• Hybrid format.
• Christmas, Easter, July, and August: FULL REMOTE
• Flexible hours.
• Permanent contract with a six-month trial period.
• 22 working days of vacation per year + 12 extra days!
• Optional access to flexible compensation (health insurance, transportation, meals, and childcare).
• Ogilvy Wellness Program: Free psychological, legal, and financial support service. Discounts on physiotherapy and gyms.
• Ogilvy is recognized with the Family-Responsible Company (EFR) certification for its commitment to employee well-being and work-life balance.
  
  

If you’ve imagined yourself in this position, that’s a good sign. At Ogilvy, we want to work with the best talent—those who challenge us and make us better. People who are eager to experience an agency culture open to diversity as a principle and connectivity as a primary tool.

So, if you're nodding your head while reading this, send us your CV!

Eager to learn more or just want to share your resume for future opportunities? If you have the learning attitude, you are welcome! Learn more about our functional teams below and discover how you can shine brighter with Lighthouse!

Engineering #LI-DNI

Byte-ing into 100TB of data daily to serve our clients a digital feast of top-notch insights. Our team is composed of engineering champions, to include Software Engineer's, Solution Architect's, and Engineering Team Lead's.

Finance

Providing unwavering support as one unit and joyful number crunchers who thrive on collaboration and take on any challenge. Start your finance journey with Lighthouse as a Finance Coordinator, Credit Collector, Accountant, or other finance function.

Business Operations

Incubating and scaling new lines of business as cross-functional ninjas with a pulse on the operating rhythm of Lighthouse. Whether you start as a Revenue Manager, Sales Operations Specialist, Analytics Engineer, or other cross-functional ninja, the sky is the limit.  

Customer Operations

Delivering white-glove client service by strengthening customer relationships and providing an unmatched customer experience. From Product/Technical Support Specialist's, Customer Care Manager's, and Client Onboarding Specialist's, our customer operations team are champions at fostering a client centric experience.

Legal

Ensuring every ‘T’ is crossed and every ‘i’ is dotted as guardians of Lighthouse legality with a fortress of contracts

Marketing

Innovation meets imagination in the world of travel and hospitality technology on our marketing team

People & Talent

Powering Lighthouse’ success by cultivating talent, fostering a culture of growth, and enhancing the employee experience

Product

Crafting the industry’s best products, all while juggling requests from sales

Revenue

Our revenue team of sales practitioners and account managers champion providing the hospitality industry with the very best products to optimise their commercial strategy

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.

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 across three continents, we’re building the leading Chat Marketing platform — trusted by more than 1.5 million customers worldwide. AI is one of our top strategic priorities. We’re building intelligent, production-grade systems that power conversations at scale — and we’re just getting started.

WHO WE'RE LOOKING FOR 🌟

We’re hiring a Senior Python Engineer to help build Conversational AI inside Manychat — a production system that enables creators to manage high-volume Instagram conversations at scale. This team is solving that problem by building AI-powered experiences that help creators respond faster, convert more leads, and focus on growing their business. Your work will directly influence how conversations turn into measurable business outcomes.

This role is ideal for someone who thrives in high-load, real-world backend environments and enjoys tackling the practical challenges of production AI: reliability, latency, observability, quality control, and safe behavior at scale. You take ownership, think in systems to turn ambiguity into shipped, impactful solutions.

YOUR FUTURE TEAMMATES 👋

Meet the AI team:

We build AI systems from the ground up — not research silos, but production-ready services that power Manychat at scale. Our strong Python foundation fits naturally into a high-load, product-driven environment.

We collaborate closely with AI Experts, Product Managers, Designers — contributing to architecture, delivery, and reliability decisions that drive speed, stability, and impact.

WHAT YOU'LL DO 🚀

• Design, build, and scale AI-powered backend services embedded directly into the Manychat platform.
• Architect scalable, async Python services operating in high-load, production environments.
• Integrate LLM providers (OpenAI, Azure-hosted models, etc.) with a strong focus on reliability, latency, and cost-efficiency.
• Design and maintain internal and external APIs, ensuring scalability and resilience.
• Own features end-to-end — from discovery and technical design through production deployment, monitoring, and iteration.
• Make architectural decisions that balance speed, scalability, and long-term maintainability.
• Ensure production reliability through strong observability practices (monitoring, logging, alerting).
• Implement and maintain high-quality unit and integration test coverage.
• Contribute to CI/CD pipelines and continuously improve release processes.
• Collaborate cross-functionally with Product, Design, AI experts, and Platform teams in a Scrum environment.
• Connect engineering decisions to measurable product and business impact.

TO SHINE IN THIS ROLE 💥

You’ll need:

• 5+ years of commercial Python development in production environments.
• Strong expertise in modern Python frameworks (FastAPI preferred; Django/Flask acceptable).
• Solid experience designing and integrating APIs (including third-party services).
• Strong understanding of async programming and concurrency (AsyncIO, non-blocking I/O).
• Experience working with PostgreSQL and large datasets.
• Experience building and maintaining high-load backend systems.
• Strong testing practices (unit and integration tests; PyTest preferred).
• Experience with CI/CD pipelines and Docker.
• Strong ownership and product mindset — able to align with stakeholders and connect engineering work to business impact.

It would be great if you have:

• Experience integrating LLMs or AI/ML features into production systems.
• Understanding of AI/ML concepts applied in real-world products.
• Experience with cloud platforms (AWS, Google Cloud, Azure).
• Experience with containerization (Docker).
• Familiarity with observability tools (Grafana, Prometheus).
• Experience with Meta or TikTok APIs.
• Exposure to distributed systems architecture.

WHAT WE OFFER 🤗

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

• 🌍 Hybrid onboarding to start remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for you and your family.
• 📚 Professional development budget for conferences, courses, and learning resources.
• 🫶 Flexible benefits package tailored to your priorities.
• 🪴 Hybrid work and generous leave options for work-life balance.
• 🍽️ In-office perks including free meals and snacks.
• 🤝 Company-funded sports 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.

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 across three continents, we’re building the leading Chat Marketing platform — trusted by more than 1.5 million customers worldwide.

AI is one of our top strategic priorities. We’re building intelligent, production-grade systems that power conversations at scale — and we’re just getting started.

WHO WE'RE LOOKING FOR 🌟

We’re hiring a Senior Python Engineer to join our Data Product Team and help power the analytics behind Manychat’s growth.

You’ll work on a high-load, near real-time platform that transforms large volumes of platform data into personalized insights seen by millions of users. The features you build will directly impact activation, retention, and revenue.

As part of a small, high-impact team, you'll own the data platform end to end, including data warehouse and ManyChat platform integrations, high-load APIs, and data aggregation pipelines. You’ll help scale performance, evolve our architecture, and influence Python engineering standards across the company.

If you care about building scalable systems, working close to the product, and seeing measurable business impact from your code, this role is for you.

WHAT YOU'LL DO 🚀

• Build and maintain data platform that power Manychat’s analytics and insights features
• Design and implement async APIs using Python and FastAPI
• Develop and optimize ETL flows that transfer data from DWH (Snowflake) into PostgreSQL for fast and reliable access
• Design caching strategies using Redis to balance performance and data freshness
• Improve system reliability, observability, and performance under high load
• Collaborate closely with product teams across the entire product organization, partnering with all major product domains to deliver data and insights that power key user experiences
• Contribute to architectural decisions as the platform evolves toward more event-driven patterns
• Own features end to end from data modeling and API design to deployment and monitoring
• Help establish engineering best practices for Python services across Manychat

TO SHINE IN THIS ROLE 💥

You’ll need:

• 5+ years of software engineering experience, including 3+ years of deep, hands-on Python expertise. Strong background in designing and building scalable, high-load, production-grade systems with extensive use of asynchronous programming
• Hands-on experience designing and building REST APIs with FastAPI or a similar async framework
• Strong knowledge of relational databases and SQL, preferably PostgreSQL, including query optimization and performance tuning
• Experience working with caching (Redis/Valkey or similar), with a solid understanding of cache invalidation strategies
• Proven ownership of services end to end, including CI/CD pipelines, production deployments, monitoring, and ongoing performance improvements
• Strong understanding of system design and scalable architecture principles, with the ability to reason about reliability, consistency, and data freshness
• Experience collaborating cross-functionally with product and engineering teams and delivering user-facing product features in fast-paced environments
• Clear communication skills and the ability to explain technical tradeoffs while maintaining a high bar for code quality, testing, and maintainability

It would be great if you have:

• Experience building data platforms or analytics products
• Hands-on experience with Snowflake, ClickHouse, or other OLAP dbs
• Familiarity with event-driven architecture patterns
• Experience with Kubernetes, Docker, Helm, Terraform, and AWS
• Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry
• Exposure to AI or machine learning driven product features
• Interest in growing into a Technical Lead role as the team expands

WHAT WE OFFER 🤗

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

• 🌍 Hybrid onboarding to start remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for you and your family.
• 📚 Professional development budget for conferences, courses, and learning resources.
• 🫶 Flexible benefits package tailored to your priorities.
• 🪴 Hybrid work and generous leave options for work-life balance.
• 🍽️ In-office perks including free meals and snacks.
• 🤝 Company-funded sports 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.

We are currently looking for a Senior Data Engineer to join us remotely in Spain. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles.

"As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!"  (Máté Gulyás, CEO)

What will you do?

As a Senior Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by supporting our pre-sales process, mentoring more junior engineers, and contributing to hiring best-in-class data talent.

What does it take to fit the bill?

Technical Expertise

 Consulting & Client-Facing Skills

Operational Readiness & Soft Skills

• In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry;

What do we offer?

You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever Spain hire, you could meaningfully contribute to expanding our local presence and, eventually, establishing a physical hub in this geography.

Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras we offer:  

• The chance to work remotely - as we don't have a physical office in Spain yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we'd expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter;

• World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library; 

• Flexible PTO days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done;

• Fully paid Medical Leave for up to 15 days per year - because when you’re unwell, we want you to focus on recovery and not worry about your paycheck;

• Comprehensive private health insurance plan via Allianz - offered via our EOR (Employer of Record) provider, Remote.com. Remote will be your official employer in Spain for the foreseeable future until we establish our own legal entity in Spain;

• Employee Assistance Program (EAP) via Allianz & Remote - life always happens! And we'd like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;

• Top-notch working equipment - working comfortably means working well. You will get a MacBook Pro and a sign-up bonus of 500 EUR gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best;

• The chance to make an impact in a high-transparency culture - open feedback and no politics are things we value a lot at DATAPAO. Additionally, you'll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company.

IMPORTANT NOTE: Given that we are still sorting our way in Spain, this list will likely get an update in the following months, and we're also committed to growing it with us over time.

The gross salary for this position ranges from 70.000 to 80.000 EUR/year, depending on your assessed seniority level during the selection process.

Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into Spain.

Title: Senior UX Engineer 

Location: Spain; Barcelona

Experience: Mid - Senior 

Job Function: Engineering

Employment Type: Full-Time

Industry: Computer & Network Security

Job Summary

In 2019, Keyfactor decided to widen its investment and acquired Redtrust, a Spanish company pioneer in the management of people’s identity through the custody and management of digital certificates. Redtrust has a strong reputation for providing top-notch products and services in Spain. As a Senior Manager, you’ll be a key member of the engineering team and will develop & maintain Redtrust products.  

The Senior UX Engineer plays a key role in designing and delivering high-quality customer experience for complex products within Redtrust's ecosystem. This role combines strong hands-on execution with ownership of UX solutions at the product or feature level. The Senior UX Engineer partners closely with Product Management, Engineering and other departments to translate customer needs and business requirements into intuitive, scalable interaction models, while contributing to UX standards and design system evolution.

The position is based in the Barcelona office, we have a hybrid work model and excellent flexible working practices. Applicants must hold valid Right to Work in Spain to apply for this position. 

Job Responsibilities

UX Design & Execution

• Design end-to-end user experiences for complex workflows and technical products, primarily in B2B environments.
• Translate research insights, requirements, and constraints into clear interaction models and UI designs.
• Create wireframes, prototypes, and detailed design specifications to support development.
• Ensure usability, accessibility, and visual consistency across assigned products or features.

Collaboration & Delivery

• Work closely with Product Managers and Engineers to define and deliver UX solutions.
• Collaborate with Marketing, Sales, Customer Success, and Support to understand customer journeys, identify experience gaps, and surface UX-driven improvement opportunities.
• Participate in sprint planning, design reviews, and delivery cycles to ensure UX quality.
• Collaborate with front-end engineers to ensure designs are technically feasible and well implemented.
• Review implemented UI and provide feedback to maintain UX standards.

Design Systems & Consistency

• Contribute to the evolution and adoption of the design system.
• Apply established UX principles and design standards consistently across products.
• Identify UX inconsistencies and proactively propose improvements.

User Research & Validation

• Participate in user research activities such as interviews, usability testing, and feedback analysis.
• Validate design decisions through testing and data where appropriate.
• Incorporate user insights into design iterations and product improvements.

Mentorship & Influence

• Act as a UX subject-matter expert within project teams.
• Provide guidance and constructive feedback to less experienced UX designers.
• Promote human-centered design practices through collaboration and example.

Minimum Qualifications, Education, and Skills

Required

• Significant experience in UX, interaction design, or related roles.
• Proven experience designing complex or technical products.
• Strong portfolio demonstrating end-to-end UX problem solving.
• Solid understanding of UX principles, interaction design, and usability best practices.
• Ability to collaborate effectively with Product and Engineering teams.
• Familiarity with front-end development concepts and constraints.

Preferred

• Experience in enterprise or B2B software environments.
• Experience contributing to or working within a design system.
• Knowledge of accessibility standards and inclusive design.
• Experience mentoring junior designers.

Success Metrics

• High-quality, usable UX solutions delivered on time.
• Positive user feedback and improved usability metrics within owned products or features.
• Consistent application of design standards and UX patterns.
• Effective collaboration with Product and Engineering partners.
• Reduced design rework through clear specifications and early alignment. #LI-NA1

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 🌟

Manychat’s AI Core team turns ML and LLM ideas into production features used in millions of conversations every day. You will work across applied research, prototyping, and production delivery, partnering closely with our Python Platform team and Product to validate ideas quickly and ship high-impact AI workflows.

This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end.

WHAT YOU’LL DO 🤖

• Design and deliver ML/LLM solutions end-to-end: fast prototyping, offline evaluation, and production rollout of models and agent workflows.
• Build and iterate on AI agents (RAG, vector search, memory, tools) using clear benchmarks and product metrics to guide improvements.
• Choose and implement the right approach for each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.
• Work closely with the Python Platform team to productionize your solutions with clean service boundaries, monitoring, and scalability in mind.

TO SHINE IN THIS ROLE 💥      

          Machine Learning & LLM Expertise

• Solid understanding of ML algorithms, metrics, search, RAG, and agent design. 
• Experience with frameworks like LlamaIndex, LangChain, or similar.
• Hands-on tuning with PyTorch, TensorFlow.
• Experience with LLM evaluation and benchmarking.
  
  Engineering Skills
• Strong Python engineering background, ideally three or more years in production environments.
• Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
• Familiarity with cloud environments and monitoring is a strong plus.
  
  Collaboration & Ownership
• Clear communication in English.
• Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
• Product mindset and comfort working in a fast-moving environment.

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.

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 🌟

Manychat’s AI Core team turns ML and LLM ideas into production features used in millions of conversations every day. You will work across applied research, prototyping, and production delivery, partnering closely with our Python Platform team and Product to validate ideas quickly and ship high-impact AI workflows.

This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end.

WHAT YOU’LL DO 🤖

• Design and deliver ML/LLM solutions end-to-end: fast prototyping, offline evaluation, and production rollout of models and agent workflows.
• Build and iterate on AI agents (RAG, vector search, memory, tools) using clear benchmarks and product metrics to guide improvements.
• Choose and implement the right approach for each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.
• Work closely with the Python Platform team to productionize your solutions with clean service boundaries, monitoring, and scalability in mind.

TO SHINE IN THIS ROLE 💥     

          Machine Learning & LLM Expertise

• Solid understanding of ML algorithms, metrics, search, RAG, and agent design. 
• Experience with frameworks like LlamaIndex, LangChain, or similar.
• Hands-on tuning with PyTorch, TensorFlow.
• Experience with LLM evaluation and benchmarking.
  
  Engineering Skills
• Strong Python engineering background, ideally three or more years in production environments.
• Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
• Familiarity with cloud environments and monitoring is a strong plus.
  
  Collaboration & Ownership
• Clear communication in English.
• Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
• Product mindset and comfort working in a fast-moving environment.

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.