Job Description

About the Team

Our Technology team drives the evolution of our Engineering, Data, Product and User

Experience functions. Within this group, the GenAI Experiences team builds generative AI

products that define the future of news and business intelligence for millions of users across the

Wall Street Journal and Dow Jones brands. Through our Co-Engineering model, we develop

production-grade AI capabilities — including summarization, conversational AI, and deep

research experiences — in close partnership with Product, Newsrooms, and platform teams.

Collaborating across disciplines, we spearhead the development of groundbreaking AI-powered

products and technologies.

About the Role

Dow Jones is seeking a Senior Software Engineer to join our GenAI Experiences team in

Barcelona. In this role, you will take end-to-end technical ownership of complex features

and systems, driving delivery with limited supervision and serving as a key technical

contributor on the team. You will partner closely with data scientists, ML engineers, product

managers, and peer engineering leads to design and ship reliable, scalable AI-powered

products.

This is an individual contributor role for an engineer who is ready to lead technically on

large-scope projects, influence engineering direction, and mentor colleagues — while

remaining deeply hands-on in design, implementation, and production operations.

You Will

• Design, build, and own end-to-end delivery of AI-powered features across the GenAI

Experiences platform — from backend APIs and data layers to user-facing

integrations.

• Partner with product managers, data scientists, and engineering leads to translate

business requirements into reliable technical solutions, and surfacing risks and

tradeoffs.

• Integrate internal and third-party LLM and AI APIs to extend system functionality

and deliver new product capabilities.

• Develop tools and frameworks for prompt management, automated evaluations, and

observability.

• Improve team processes — code quality standards, testing practices, observability,

and CI/CD pipelines.

• Monitor and improve production AI systems for reliability, performance, and quality
• troubleshooting issues across the full stack.
• Integrate third-party AI APIs (internal and external) to extend the functionality of

systems.

• Participate in code reviews, apply MLOps best practices, and contribute to team

standards for model versioning, experiment tracking, and CI/CD.

• Stay updated on developments in fullstack engineering for GenAI and IR

technologies, incorporating best practices and leveraging cloud infrastructure for

efficiency.

You Have

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.
• 3-5 years of industry software engineering experience building and operating

production systems.

• Strong Python skills and experience building scalable backend services and REST or

GraphQL APIs.

• Experience with cloud-based infrastructure and services (e.g., AWS and GCP),

Docker, and the Git version control system

• Exposure to deploying and monitoring machine learning models or generative AI

systems in production environments, including automated evaluation pipelines.

• Familiarity with LangChain, LangGraph, LangSmith, or equivalent

agentic/orchestration frameworks.

• Exposure to MLOps tooling — model deployment, monitoring, experiment tracking,

evaluation pipelines — is a strong plus.

• SQL proficiency and experience with data pipeline tooling (Airflow or equivalent).

Our Benefits

• Comprehensive Healthcare Plans for you and your family (paid by Dow Jones)
• Extra paid Time Off (30 days of holidays/year)
• Possibility to work remotely for 3 months/year (desplazamiento program) or one week of remote work per quarter
• Meal benefit with Pluxee (171€/month on top of your salary)
• Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %).
• Comprehensive Insurance Plans
• Well-being Resources (200 USD allowance per quarter, Classpass, etc.)
• Family Care Benefits & Caregiving Support
• Subscription Discounts
• Employee Referral Program (2,500 USD for referring a talent)

Learn more about us and our benefits click here.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.

Business Area:

Dow Jones - Technology

Job Category:

Software Product Engineering

Union Status:

Non-Union role

Base Pay Range: 45,000 € - 65,000 €

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.