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Engineering Manager (Vogue)

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Onsite

Engineering Manager (Vogue)

Condé Nast

Engineering Manager (Vogue)

Skills

GraphQLAIWorkdayPerformance ManagementJavascript

1 month ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

18 September 2026

What they need


  • Contribute directly to production code across back-end APIs and front-end components, and stay close enough to the detail to make credible technical decisions
  • Set and own the technical direction for your team, including architecture, design patterns and engineering standards
  • Lead projects from ideation through execution to maintenance
  • Participate in design and code reviews, and raise the standard of both across the team
  • Identify and resolve code, performance and usability issues
  • Evaluate libraries and tools for integration into our platform, including AI tooling, and set standards for how the team uses it covering code quality, review, security and data handling
  • Balance delivery against platform health, technical debt and long-term maintainability
  • Line manage a team of engineers, owning their growth, performance and wellbeing through regular one-to-ones, clear expectations and honest feedback
  • Coach engineers through career progression, including the difficult conversations, and support each person in doing their best work
  • Build a team where people feel safe to ask questions, raise concerns, disagree with you and admit mistakes, and make space for quieter and newer voices in technical discussion
  • Contribute to hiring and onboarding for your team, with attention to fair and consistent assessment
  • Work closely with product and design partners on the creation and iteration products and features
  • Own the delivery of your team’s work, planning and prioritising alongside your product partner
  • Keep stakeholders informed with clear communication about progress, risk and trade-offs
  • Collaborate with the broader engineering group on new ideas and on improving existing ones

Benefits

  • Domestic Partner Benefit Extensions
  • Free Mental Health Services
  • Assistance in Refinancing Student Loans
  • Long-term Remote Work Pilot
  • Extended Bereavement leave
  • Extended Parental Leave
  • Added Adoption Financial Support- This is a hands-on leadership role. You should be as comfortable in a design review or a pull request as you are in a one-to-one or a performance conversation
  • We do not expect any one person to necessarily arrive with all of this. If you meet most of what follows and are interested in the rest, we would like to hear from you
  • Comfortable remaining hands-on. You still write and review production code, and you contribute credibly to technical discussions with engineers at every level
  • Proven line management experience, including career development, hiring and performance management
  • A track record of mentoring and developing engineers, including people whose background or route into the industry may differ from your own
  • Experience working with, designing and deploying production-grade RESTful APIs. Experience and knowledge of GraphQL APIs is a plus
  • Have seen technical projects through the entire development lifecycle, from ideation through execution and maintenance
  • Excellent communication skills, including being comfortable explaining technical concepts to non-technical stakeholders
  • Strong analytical and problem solving skills, and strong attention to design detail
  • Hands-on experience with AI-assisted development tools and a considered view on how engineering teams should use them
  • Significant experience as a software engineer, with a track record of shipping and running production systems
  • Deep, current fluency in JavaScript
  • Experience working on content discoverability, personalisation or search
  • Experience in digital publishing, media or another high-traffic, content-heavy domain
  • Experience with brand agnostic or multi-tenant platforms
  • Experience shipping AI-powered product features, for example using large language models, embeddings, semantic search or recommendation systems
  • Experience introducing engineering practices or AI tooling across a team- End Date: September 30, 2026

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