Senior Software Engineer

Posted 6 Days Ago
Be an Early Applicant
Madrid, Comunidad de Madrid, ESP
In-Office
Senior level
AdTech • Marketing Tech • Sales
We're looking for colleagues that are passionate about making marketing more meaningful for brands and consumers alike.
The Role
Own complex software systems end to end, architect cloud-native platforms on AWS or Azure, and build agentic LLM-powered insight workflows. Mentor engineers, drive testing and observability standards, and collaborate with Product, Data, and Operations on technical strategy. The role focuses on scaling MediaRadar’s advertising intelligence platform globally, including European expansion and sports-media data capabilities.
Summary Generated by Built In

Location: Madrid, Spain (Remote — with regular in-person collaboration at a local WeWork alongside our Madrid tech team)

About MediaRadar:

MediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. As we expand our footprint from the US into Europe and deepen our focus on media intelligence, we're looking for engineers who can help scale our platform and products globally.

About the Role:

We're looking for a Senior Software Engineer to independently own complex, ambiguous problems across our platform. You'll design, build, and scale systems that power MediaRadar's competitive advertising intelligence platform — with a particular focus on developing agentic, AI-driven capabilities that deliver customizable insights to our clients.

Stack Highlights:

Core: Strong Python proficiency is a must; comfort with additional languages (C#, Java, Node.js) a plus.

Cloud: Hands-on experience with AWS and/or Azure is a must.

Data: SQL (SQL Server, Postgres), with Databricks/ETL experience a plus.

AI/Agentic: Experience with LLM-powered or agentic systems (LangChain, multi-agent orchestration, RAG) is highly valued.

Productivity: Use of modern AI coding assistants (Copilot, ChatGPT) to accelerate development.


Requirements

Key Responsibilities:

  • Independent System Ownership: Design, build, and own complex, ambiguous features end-to-end, operating with minimal supervision.
  • Agentic Insights Studio: Lead the buildout of agentic, LLM-powered workflows that deliver customizable, automated insights for end users.
  • Cloud Architecture: Architect and scale cloud-native systems (AWS/Azure) that support our expansion from the US into European markets.
  • Mentorship: Mentor junior engineers and raise the technical bar across the team through code reviews and shared best practices.
  • Engineering Excellence: Drive testing, observability, code quality, and documentation standards across your area of ownership.
  • Cross-Functional Partnership: Partner with Product, Data, and Operations to shape technical roadmap and integration strategy across the MediaRadar/Vivvix data platforms.

Key Qualifications:

  • Experience Level: 4–6+ years of professional software engineering experience (Senior level).
  • Python: Expert-level Python is required; comfortable owning production systems end-to-end.
  • Cloud: Proven experience architecting and operating systems on AWS and/or Azure is required.
  • Agentic/AI Experience: Hands-on experience building LLM-powered or agentic systems (LangChain, multi-agent orchestration, RAG) is very strongly preferred.
  • Industry Relevance: Background in adtech, advertising, media intelligence, analytics, or sports-media data is highly valued.
  • Global Scope: Comfortable working across distributed, international teams as we expand from the US into Europe.
  • Software Rigor: Strong grasp of architecture and design patterns, with a track record of mentoring other engineers.
  • Professional fluency in written and spoken English: Strong communication skills to effectively collaborate with distributed engineering, product, and business teams across North America, India, and Europe.

Skill Focus for 2026/2027:

  • Agentic Insights: Building and scaling AI-driven, customizable insight generation for our Insights Studio product line.
  • Global Expansion: Ensuring platform scalability and reliability as MediaRadar expands from the US into European markets.
  • Sports & Media Intelligence: Extending our data and attribution capabilities into sports-focused advertising and media verticals.

Benefits

At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.

In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.

We are committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at [email protected] .

We’re excited to meet people who share our values and want to build the future with us!

Skills Required

  • 4–6+ years of professional software engineering experience
  • Expert-level Python proficiency
  • Experience architecting and operating systems on AWS and/or Azure
  • Strong software architecture and design-pattern knowledge
  • Track record of mentoring other engineers
  • Professional fluency in written and spoken English
  • Hands-on experience building LLM-powered or agentic systems, including LangChain, multi-agent orchestration, or RAG
  • Experience with additional languages such as C#, Java, or Node.js
  • SQL experience with SQL Server or PostgreSQL
  • Databricks or ETL experience
  • Background in adtech, advertising, media intelligence, analytics, or sports-media data
  • Experience working across distributed international teams

MediaRadar Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MediaRadar and has not been reviewed or approved by MediaRadar.

  • Leave & Time Off Breadth — Flexible Time Off, paid sick days, parental leave, and seasonal Summer Fridays/early-release days are clearly provided, and time-off policies are consistently portrayed as strong. These provisions support a manageable workload and a favorable work-life rhythm.
  • Healthcare Strength — Comprehensive medical, dental, and vision coverage is offered alongside life and disability insurance, with optional add-ons such as HSAs/FSAs and pet insurance. Health benefits are commonly characterized as solid and reliable for the company’s space.
  • Retirement Support — A 401(k) plan with employer retirement contributions and access to financial planning resources are part of the package. Retirement offerings are described as a dependable component of total rewards.

MediaRadar Insights

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The Company
HQ: New York, NY
680 Employees
Year Founded: 2006

What We Do

MediaRadar equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands. With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage.

Why Work With Us

We take our culture seriously. When someone closes a deal, the whole team knows about it wins are celebrated, heavily rewarded, and shared by everyone. We back our people with no artificial glass ceilings. We actively invest in your coaching, development, and long-term career goals. At the end of the day, we’re a team of genuinely good humans.

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