Engineering Manager - AdTech and Personalization

H&M Group · Stockholm, Stockholms län, Sweden

  • Senior
  • Full-time
  • Posted 2026-09-22
  • Confirmed live on 25 September 2026

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Job description

Job Description
ABOUT THE ROLE

We are looking for an Engineering Manager to co-lead the technology delivery and people leadership for two product areas: External & Paid Channels and Marketing Personalization. You will be accountable for technical execution, delivery quality, operational excellence, and the growth of the engineers working across these teams.
The External & Paid Channels team enables traditional and agentic paid media advertising across social, paid search, affiliates, influencer marketing and product/feed management for platforms such as Google, Meta, Instagram and other advertising partners. The Marketing Personalization team builds data-heavy capabilities for customer journey and lifecycle management, marketing automation, personalization and the decision engine that integrates with our customer data platform and channel ecosystem.
This is a role for a hands-on technology manager who understands modern software engineering, AdTech integrations, AI-assisted campaign management, data and ML platforms, and the realities of leading teams that build and run business-critical marketing technology at scale.
WHAT YOU'LL DO

• Lead end-to-end technical delivery across External & Paid Channels and Marketing Personalization, balancing roadmap delivery, solution health, security, operational stability and business outcomes.

• Partner with Product Managers, architects and marketing stakeholders on roadmap planning, technical feasibility, release governance, delivery trade-offs and prioritization.

• Ensure the teams design, build and operate scalable, secure and maintainable solutions, with clear documentation, engineering guardrails, CI/CD, observability and incident-management practices.

• Drive modern AdTech capabilities, including AI-assisted (agentic) campaign automation, analysis and reporting; exposure to Model Context Protocol (MCP) patterns or similar AI-agent tool integrations is highly relevant.

• Lead engineering for data-driven personalization, including the consumption of customer profiles, event data, audience segmentation, propensity and recommendation models, lifecycle automation and next-best-action or next-best-offer decisioning.

• Define and monitor delivery, operational and business-impact metrics such as reliability, cycle time, incident trends, data freshness, model/decision performance, campaign automation effectiveness and platform adoption.

• Manage risks, dependencies, technical debt, vendor performance and SaaS or managed-service contracts, ensuring compliance, cost-effectiveness and long-term maintainability.

• Lead, coach and develop engineers by owning recruitment, onboarding, performance, workload balance and a safe, inclusive culture that enables high-quality delivery.

WHO YOU'LL WORK WITH

You will work closely with Product Managers for External & Paid Channels and Marketing Personalization and collaborate with a wide range of engineering talent, security and privacy specialists, marketing activation teams, media and performance marketing stakeholders, platform vendors and other product teams across the Activation & Loyalty Area and the wider Marketing Domain. You will act as the primary technology contact for these products, creating transparency on delivery status, risks, dependencies and technical trade-offs.
WHO YOU ARE
We are looking for people with...

• Experience with formal people management for engineering teams, including recruitment, onboarding, performance development, coaching and engagement across geographically distributed teams.

• Understanding advertising platforms and ecosystems such as Google Ads, Google Marketing Platform, Merchant Center/product feeds, Meta Ads, marketing APIs, affiliate networks, influencer platforms, tag management and conversion measurement.

• Proven experience leading engineering delivery in an agile product environment, including planning, prioritization, delivery governance, DevOps practices and operational RUN accountability.

• Recent exposure to AI in paid advertising, such as automated bidding and budget optimization, AI-supported creative and targeting, natural-language performance analysis, reporting automation and MCP-enabled or AI-agent workflows.

• Strong grasp of data-heavy marketing technology, including customer data platforms, identity resolution, event streams, data quality, segmentation, audience activation, experimentation and lifecycle orchestration.

• Strong architecture fundamentals, including APIs, event-driven integrations, cloud services, data pipelines, scalable design principles, observability, security and compliance.

• Experience managing vendors, SaaS platforms or managed-service partners with strong financial awareness, ensuring service quality, cost control, licensing and contractual alignment while making informed trade-offs in line with product priorities and total cost of ownership.

And people who are...

• Outcome-oriented leaders with a builder mindset, ab

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