1,828,195open jobs
106,350companies
263,787added this week
Browse all
Salary
≈ $80k – $162k per year (Estimated)
Location
Hybrid (Berlin, Germany)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Jul 15, 2026. HelloFresh scores A on the Alion truth index.

Overview
Company
Impact
Profile match
HelloFresh SE is a global meal-kit delivery company and direct-to-consumer food solutions provider. Headquartered in Berlin, Germany, the public company operates extensively across North America, Europe, Australia, and New Zealand under brand portfolios including HelloFresh, EveryPlate, Green Chef, Factor, and Youfoodz. Its core business activities involve designing pre-portioned meal recipes, sourcing ingredients, operating automated fulfillment centers, and delivering subscription-based meal kits and ready-to-eat meals directly to consumer households.

The Role

We are looking for an experienced People Technology Engineering Manager to join the HelloFresh People Technology leadership team. This role leads the Engineering discipline within People Technology and is responsible for the architecture, capability and delivery of the technical solutions that connect, automate and increasingly enhance our employee technology landscape.

Today, the squad’s primary focus is Workday integrations and connected enterprise systems. Over time, its remit will expand across workflow automation, low-code development, AI-enabled solutions and modern engineering capabilities. You will act as the engineering architect and design authority for People Technology, setting technical direction, shaping architecture and establishing standards that balance delivery speed, scalability, security, maintainability and long-term sustainability. This includes maintaining strong expertise in Workday integrations and emerging platform capabilities such as Workday Orchestrate and Extend / Build.

You will also lead, develop and performance-manage a team of engineers, building capability across integrations, automation and AI engineering. You will create a high-performing environment grounded in technical quality, accountability and continuous learning, while ensuring the squad has the skills, capacity and ways of working needed to meet both current and future demand. While you may remain hands-on where appropriate, your primary focus will be technical leadership, people development, capability building and delivery oversight.

As the senior business partner for engineering, you will represent the discipline across People Technology and work closely with the People function and stakeholders from across the Group. You will help shape roadmaps, influence prioritisation and investment decisions, and translate business needs into scalable engineering solutions. You will also play a central role in determining where AI, automation and intelligent workflows can create measurable value, both by enabling the squad to deliver faster and by building AI-enabled solutions for the wider People Technology organisation.

Above all, we are looking for people who will make HelloFresh better. We value diverse experiences and recognise there are many paths into engineering leadership. Even if you do not meet every requirement, we would still like to hear from you if you believe you would thrive in this role.

What You’ll Do

  • Act as the engineering architect and design authority for People Technology, owning technical standards, patterns and architectural principles across Workday and connected enterprise systems.
  • Shape the end-to-end engineering landscape and make architectural decisions that balance delivery speed, scalability, security, maintainability and long-term sustainability.
  • Lead the evolution of the squad from a primarily integrations-focused team into a broader People Technology engineering capability.
  • Drive adoption of modern Workday capabilities, including Workday Orchestrate, Extend, Build and future platform innovations.
  • Establish AI engineering capability within the People Technology tribe and identify opportunities to apply AI, automation and intelligent workflows.
  • Champion AI-assisted engineering practices that improve productivity, quality and delivery speed, while ensuring responsible security, privacy and governance.
  • Lead, coach and performance-manage engineers, building capability across integrations, APIs, automation, low-code development and AI-enabled solutions.
  • Plan and manage team capacity, resourcing and capability against current priorities and future demand.
  • Act as the senior engineering business partner to People Technology leadership, Product Managers, Functional Leads and business stakeholders, shaping roadmaps, prioritisation and investment decisions.
  • Translate business needs into scalable technical solutions, resolve complex engineering challenges and maintain oversight of technical debt, dependencies, risks and operational resilience.

What You’ll Bring

  • Typically 8-12+ years of experience in integrations, systems engineering, software engineering or related technical roles.
  • Deep hands-on experience with Workday integrations and the broader Workday technical ecosystem.
  • Strong knowledge of APIs, middleware, enterprise integration platforms and modern integration architecture.
  • Experience acting as a technical architect, design authority or senior engineering lead in a complex enterprise environment.
  • Experience leading and developing technical specialists, including performance management, coaching and capability building.
  • Strong knowledge of Workday Orchestrate, Extend and Build, or the ability to rapidly develop expertise in emerging Workday capabilities.
  • Experience applying automation, AI-assisted development or AI-enabled solutions in an enterprise technology environment.
  • Strong judgement in evaluating emerging technologies, translating them into practical business outcomes and balancing short-term delivery with long-term sustainability.
  • Strong stakeholder management and business-partnering skills, with the ability to influence through clarity, judgement and technical credibility.
  • Experience operating in complex, global organisations with sensitive employee data, supported by a relevant degree or equivalent practical experience and fluency in English.

    What we offer

    Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

    • Immerse yourself in a diverse global community of 90+ nationalities.
    • Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
    • Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
    • Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
    • Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

    Are you up for the challenge?

    Please submit your complete application below including your salary expectations and earliest starting date.

    After submitting an application our team will review this and get back to you within 5 business days. 

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,828,195 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Recommended for you based on this role

Leadership
Similar stack
Same company
Berlin
≈ $97k – $238k per year (Estimated) • Hybrid • Full-Time • 7+ years exp • Munich • Berlin
AI/ML
Machine Learning
Apply
$101k – $135k per year • Remote (Germany) • Full-Time • 5+ years exp
Apply
≈ $140k – $283k per year (Estimated) • Hybrid • Master's Degree • Garching bei München
Python
AI/ML
Multimodal AI
TensorFlow
PyTorch
Federated Learning
Time Series Forecasting
Knowledge Graph
World Models
Machine Learning
Apply
≈ $81k – $199k per year (Estimated) • In office • Full-Time • PhD • Herne
Management
Microsoft Office
Apply
≈ $104k – $210k per year (Estimated) • In office • Full-Time • Kronberg
Python
Java
TypeScript
AI/ML
LangGraph
AutoGen
LangChain
LlamaIndex
Model Context Protocol
Embeddings
AI Agents
CrewAI
LLM
RAG
Semantic Search
Human-in-the-Loop
Semantic Search
LLM Evaluation
LLM Guardrails
Agentic Workflows
Multi-Agent Systems
DevOps
Terraform
GCP
Helm
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $86k – $211k per year (Estimated) • In office • 12+ years exp • Berlin
AI/ML
Machine Learning
DevOps
Incident Management
Apply
≈ $141k – $287k per year (Estimated) • In office • 8+ years exp • New York
Apply
≈ $110k – $247k per year (Estimated) • Hybrid • Full-Time • Sydney
Management
Jira
Service Desk
Apply
≈ $72k – $144k per year (Estimated) • Hybrid • 8+ years exp • Toronto
Apply
≈ $67k – $128k per year (Estimated) • In office • Warsaw
Databases
Apache Kafka
DevOps
GCP
Azure
AWS
Cybersecurity
GDPR
Apply
$49k – $67k per year • In office • Full-Time • Bachelor's Degree • Berlin
Apply
≈ $23k – $46k per year (Estimated) • Hybrid • Internship • Paris • Brussels • Barcelona • Amsterdam • Luxembourg City
Apply
≈ $45k – $89k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Munich • Jena • Berlin
Apply
≈ $81k – $151k per year (Estimated) • Equity • Hybrid • Full-Time • 5+ years exp • Berlin
Python
AI/ML
Claude
Multimodal AI
DevOps
Rest API
Management
Confluence
Google Workspace
SpaceTech
QGIS
Apply
Marketing Analyst 6 hours ago
≈ $47k – $87k per year (Estimated) • In office • Full-Time • 3+ years exp • Berlin
SQL
AI/ML
Model Context Protocol
DevOps
Rest API
Windows
Cybersecurity
GDPR
Analytics
A/B Testing
Looker
Marketing
GA4
LinkedIn
Apply
See all jobs
This is one of many
1,828,195 more open roles from verified company boards, updated every day.