Jobs at Schibsted

Develop and improve propensity, recommender, and offer-optimization models for a dynamic paywall. Design and analyze experiments, apply statistics and causal inference, and take models from development into production. Collaborate with data scientists, engineers, product, business, and editorial teams. Communicate findings through clear analysis and dashboards while improving modeling, tooling, and MLOps practices.

Manage Swedish corporate tax reporting, compliance, audits, and broader Nordic and international tax matters. Advise on transfer pricing, Pillar Two, Country-by-Country Reporting, VAT, M&A, reorganizations, and commercial initiatives. Partner with Finance, Legal, and business stakeholders, lead tax projects, and improve tax processes and controls through AI, automation, and digital tools.

Support and extend LLM gateway and model-serving infrastructure. Deploy, benchmark, and operate self-hosted models on Kubernetes across cloud and on-premises environments; improve routing, caching, guardrails, observability, cost attribution, and evaluation workflows. Support engineers, data scientists, and journalists by creating documentation, templates, and standards while contributing to emerging AI technologies and secure, reliable platform practices.

Lead Product Data across analytics, data engineering, and data science by setting technical direction, establishing shared standards, governing data products, and driving cross-product initiatives. Develop metrics and KPIs, improve AI-enabled data work, partner with central Data and AI teams, and coach senior contributors through influence rather than line management.

Develop and maintain scalable Android applications for Podme’s podcast and audiobook platform using Kotlin and Jetpack Compose. Responsibilities include architecture, feature development, automated testing, app performance, CI/CD improvements, code reviews, and collaboration with product, design, backend, QA, and DevOps teams.

Lead Schibsted Product Lab, building and scaling next-generation media products from early opportunities through validation, launch, investment decisions, and transition into the core business. Own the product portfolio, commercial strategy, evidence-based prioritization, multidisciplinary team, and collaboration across product, technology, editorial, and media organizations. Identify valuable AI and emerging-technology opportunities while stopping initiatives that lack potential.

Develop and maintain scalable iOS applications for podcasts and audiobooks using Swift and SwiftUI. Collaborate with product, design, backend, QA, and DevOps teams to deliver reliable features, write maintainable code, support automated testing and CI/CD pipelines, monitor app stability, participate in code reviews, and improve user experience. The role also involves contributing to architecture decisions and debugging complex technical issues.

Develop fullstack video and audio platform services using Node.js, TypeScript, React, event-driven architecture, GraphQL, REST APIs, Docker, and Kubernetes. Contribute to projects involving video publishing, transcoding, live streaming, playback, monetization, metadata, and AI audio/video initiatives. The role includes testing, CI/CD, cloud infrastructure, and collaboration with distributed engineering, product, design, and data teams. Hybrid work requires two days weekly in the Oslo office.

Develop and maintain scalable, secure integrations using MuleSoft Anypoint. Responsibilities include designing, testing, deploying, monitoring, and improving integration solutions; managing platform performance and incidents; collaborating with infrastructure, architecture, IT, and business teams; and supporting automation through AWS, CI/CD, and infrastructure-as-code practices.

Support application and product security by remediating vulnerabilities, conducting security assessments, integrating security throughout the software development lifecycle, managing security tools, developing training, maintaining security documentation, and monitoring emerging threats. Collaborate with developers, architects, system engineers, journalists, and other stakeholders to strengthen cybersecurity culture and protect digital assets.

Build and maintain reliable, scalable data pipelines, transformations, and models using Snowflake, dbt, Airflow, and Python. Translate stakeholder needs into pragmatic data products, improve testing, documentation, monitoring, governance, and cost efficiency, and contribute to architecture, code reviews, collaboration, and knowledge sharing across Data & AI teams.