NextRaiseNextRaiseFind jobs
Sign inSign up free
Jobs
13 hours agoBe an early applicant
Apply with autofill
Apply with autofill
Hmgroup·13 hours ago
13 hours agoBe an early applicant

Engineering Manager - AdTech and Personalization

Stockholm, SwedenFull-timeSenior · 5-10 yearsEngineering Manager

Sign up free to see how well your resume matches this role.

Boost your chances at hmgroup

How you compare FREE

?
Your scoreYour score: not yet known
→
39
Top 10%Top 10%: 39 out of 100

Top 10% of NextRaise users matched against Engineering Manager roles in Sweden.

Must-have skills for this role

  • engineering management
  • adtech
  • personalization
  • ai

PDF or DOCX · no account needed

Apply faster with autofill FREEhmgroup uses SmartRecruiters - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

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.

What they're looking for

  • 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.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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, able to balance speed, quality, operational resilience and long-term technical health while turning ambiguity into clear direction and momentum. 

  • Comfortable navigating ambiguity across business, marketing, product, data and technology domains, with the confidence to spark new ideas, challenge assumptions and help the team explore better ways of working. 

  • Curious about emerging AI, AdTech and personalization capabilities, combining experimentation and innovation with strong judgment around governance, brand safety, privacy, security and customer trust. 

  • Strong communicator who can translate technical complexity into clear choices, risks and recommendations, creating alignment and trust with engineers, product partners and senior stakeholders. 

  • Collaborative, inclusive and empowering leaders who create psychological safety, build trust, listen actively and use mentorship and coaching to help engineers grow, make informed decisions, and do their best work. 

  • Analytical and data-informed, using metrics and insights to improve delivery, operations and business value while continuously developing team capabilities, practices and impact. 

WHO WE ARE
H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ 

We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ 

WHY YOU'LL LOVE WORKING HERE 
At H&M Group, we’re proud to be a vibrant and welcoming company where people can grow and make an impact.  

  • All our employees are included in our H&M Incentive Program (HIP)   

  • Staff discount usable across all H&M Group brands, in stores and online   

  • Work-life balance, 30 days’ vacation, and wellness allowance of 4000 SEK/year   

  • Access to Benify for discounts on gym memberships, travel, hotels, and more   

  • Compensation boost during parental leave 

JOIN US
Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it is our people who make us who we are.    

This is a full-time, permanent position, starting as soon as possible according to the agreement. The role is hybrid, based in Stockholm, Sweden where close collaboration with stakeholders is an important part of the role.  

Apply by submitting your CV in English as soon as possible. 

We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you not to attach a cover letter.   

Take the next step in your career together with us. The journey starts here. We are eager to meet you. 

Company

Hmgroup
Stockholm, Sweden

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Hmgroup's careers site·first seen 22 Sept 2026·last verified 22 Sept 2026·How we source jobs

Similar jobs

  • Engineering Manager - Observability | Sweden | Remote at Grafana LabsEMEA, Sweden–match not yet calculated
  • Revenue Development Manager at MentimeterStockholm, Sweden–match not yet calculated
  • Senior Engineering Manager, Grafana Frontend | Sweden | Remote at Grafana LabsSweden (Remote)–match not yet calculated
  • Engineering Manager at InstabeeStockholm, Sweden–match not yet calculated
  • ENGINEERING MANAGER TILL XENERGIC at nexergroupLund, Sweden–match not yet calculated

Browse more jobs

  • Engineering Manager jobs in United States
  • Engineering Manager jobs in India
  • Engineering Manager jobs in United Kingdom
  • Retail Sales Associate jobs in United States