Role Description

• As a Senior Strategic Value & Process Optimisation Consultant (Internal Title: Senior Value Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Management & Technology Consultant – AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

About The Team

We work with everything audio at Roku — Audio Quality Assurance (AQA), AV-sync testing, and wireless audio validation. Our team is a collection of Software Engineers and Electrical Technicians who love making solutions on how to test things. If there isn't a solution to a testing problem, we make it — both hardware and software. One of the things we're known for is our huge system setups for testing audio across TVs, soundbars, and headphones.

About The Role

We are looking for a Senior QA Automation Architect to help evolve our test automation capabilities from primarily AV-sync testing into broader Audio Quality (AQ) coverage across Roku TVs, soundbars, and headphones. You'll partner closely with the team lead to architect and advance our automation ecosystem, with a strong emphasis on AI-driven innovation through our internal initiatives. 

This role is best suited for a self-motivated, detail-oriented person who thrives in fast-paced environments. You should be comfortable working through ambiguity and adaptable enough to navigate evolving priorities while consistently delivering high-quality results.

What You'll Be Doing

• Design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness
• Design systems that collect, analyse and act on the testing data to continuously improve on the quality processes
• Leverage AI-powered tools to implement test automation, failure analysis, root cause identification
• Establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability 
• Define and implement architectural patterns that make testing more effective, maintainable, and aligned with business impact
• Systematic regression tracking and implementing process to prevent regression reoccurrence

We're Excited If You Have

• Expertise with test architecture and automation systems design.
• Programming experience across multiple languages, Python a must.
• Expertise in test automation with embedded systems in the loop. 
• Proven track record in driving test transformation: Experience leading initiatives that significantly improved test effectiveness and reduced production issues
• AI expertise for testing: Ability to design, implement, and optimize solutions leveraging AI tools, and predictive analytics for quality assurance
• Knowledge of continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and their optimisation for quality gates
• Advanced test analysis skills: Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification
• Excellent verbal and written communication skills with ability to influence senior leadership and cross functional teams on quality initiatives
• Leadership experience mentoring engineers and driving organisational change in testing practices
• Experience as project QA or development lead or similar.  
• Certifications or training in AI/ML or AI testing

#LI-AM3

About The Team 

Roku’s Aarhus office is focused on acoustics, audio processing and cloud technologies, centred around a purpose-built operating system for streaming TV. 

About The Role 

We are looking for students interested in starting a full time paid internship from Summer 2026. This role is for a 20 week internship, based out of our Aarhus, Denmark office.  
The team is located both in Aarhus DK, China and in the US. Please submit your CV in English.

What You’ll Be Doing 

• Add and update audio processing algorithms in a proprietary DSP solution 
• Assist in development of parter-facing audio tools 
• Assist in development of automated tests 

We’re excited if you have 

• Good programming skills in C++ and Python 
• Experience in use of AI/ML/EdgeML for software development 
• Understanding of audio processing 
• Strong capability for troubleshooting 
• Experience with GIT and Jenkins is desired 
• Enrolled in a relevant engineering education at the time of application 
• A self-starter attitude and willingness to learn 
• Good English skills, both oral and written 
• Good communication and presentation skills 

The role: What's in the Box

We’re looking for a Senior Demand Planning Analyst who is as comfortable writing SQL as they are explaining a forecast miss to a Procurement Director. This is a hybrid role: part data engineer, part forecaster, part cross-functional operator.

You’ll own the demand signal that drives every operational decision at HelloFresh, from how much food we buy to how many staff we schedule and how many trucks we book. Your forecasts directly determine food waste, labour costs, and customer experience for millions of meals across Europe.

Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will bridge that gap — building the next-generation forecasting capabilities while keeping daily supply chain execution accurate and agile.

What you’ll do: The Recipe

Build & Automate Forecasting Systems

• Write and maintain SQL queries daily to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Develop and refine forecasting models in Python, applying statistical and machine learning techniques — from simple trend and seasonality models through to more advanced approaches as the function matures.
• Design dashboards and automated reporting using visualisation tools (e.g., Tableau, Power BI) that give stakeholders self-service access to demand insights.
• Work alongside forecast engineers to architect scalable pipelines, ensuring local market nuances are handled without breaking the unified codebase.
• Build “What-If” scenario simulations (e.g., “What if we run an aggressive promo in a key European market next week?”) to stress-test operational capacity and quantify supply chain risk.

Own the Demand Plan

• Generate and validate daily and weekly demand plans for European markets. You are the guardian of the Decision-Time forecast — the plan must be accurate at the exact moment Procurement and Production need to act.
• Monitor trends, seasonality, and promotional impacts. Proactively flag when the plan needs adjusting and communicate changes before they surprise the supply chain.
• Implement data validation and QA checks to ensure forecast reliability, with alerting for anomalies.

Drive Cross-Functional Alignment (S&OP)

• Drive cross-functional alignment and play a key role in the weekly S&OP planning cycle with Market Leadership, Logistics, Production, and Procurement — ensuring the forecast is shaped by stakeholder inputs and shifting the conversation from error reporting to risk management and strategic alignment.
• Partner with Marketing to ensure growth campaigns and promotions are reflected in the demand view before they hit the supply chain.
• When deviations occur, go beyond surface metrics: diagnose root causes, quantify impact, and deliver actionable insights that prevent recurrence.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

What you’ll bring: The Ingredients

Required Technical Skills

• SQL: Fluent. You write complex queries daily — joins, window functions, CTEs — and are comfortable working in cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Python: Good working knowledge. You can write and maintain scripts for data manipulation, forecasting, and analysis. You don’t need to be a software engineer, but you’re confident using Python to solve analytical problems.
• Visualisation: Experience building dashboards in tools such as Tableau or Power BI to make data accessible to non-technical stakeholders.
• Excel/Google Sheets: Advanced. Still essential for ad-hoc analysis and stakeholder communication, but not your primary tool.

Required Domain Experience

• 4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics. E-commerce, food retail, or FMCG experience is strongly preferred — perishable/short shelf-life experience is a significant plus.
• Strong grasp of forecasting techniques: you understand bias, accuracy metrics (MAPE, WMAPE), trend decomposition, and how to evaluate model performance holistically.
• Experience forecasting in environments with limited historical data (newer markets, product launches) using proxy data and trend smoothing.
• Proven ability to manage demand and supply risks: proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders.
• Comfortable with project tools like JIRA/Confluence for managing backlogs and improvement roadmaps.
• Strong communication skills: you can present forecast insights, explain variance drivers, and articulate trade-offs clearly to both technical and non-technical audiences, ensuring alignment across functions.

What we offer: The Toppings

Compensation & Financial Wellbeing

• Enjoy 65% off your HelloFresh Meal Box and 40% off Factor_ subscriptions.
• Benefit from a 5% company-paid pension and insurance package.

Health & Wellbeing

• Access Spill online therapy (available within 24 hours) and get discounts at SATS and Beat-Riders gyms.

Flexibility & Work-Life

• Receive 25 days of paid vacation per year, + 5 days of feriefridage. We also provide paid leave for your child’s first sick day.
• Benefit from a Parental Leave policy that supports your family needs.

Career & Development

• Make the most of a dedicated L&D budget and the HelloMint mentorship program, supporting our "Learning Never Stops" value.

Culture & Environment

• Office perks include drinks and snacks, subsidized catered lunches, and breakfast every Friday.

About HelloFresh

HelloFresh is on a mission to change the way people eat, forever!

Since our 2011 founding in Europe’s vibrant tech hub, Berlin, we’ve become the world's leading meal kit provider, delivering to over 4.2 million households worldwide in 16 countries across 3 continents. 

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. 

CSQ327R46

We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect.

You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.

As a Data & AI Platform Architect (Professional Services) (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• Extensive experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time
• [Preferred] Databricks Certification but not essential

Role & Team

As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
• Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
• Grow the teams by attracting and hiring great Data and ML talent
• Foster an inclusive, supportive, and caring culture where everyone can do their best work
• Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
• Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
• Ensure the technical approaches within your domains support future product and modelling needs
• Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
• Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning

Skills & Experience

• 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams
• Passionate about climate and the role technology can play in addressing environmental challenges
• Experience working in a high-growth scale-up or startup environment
• Product-minded, with the ability to demonstrate meaningful business impact through technology
• Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions
• Experience working with python-based ML or data workflows and collaborating closely with data scientists
• Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels
• Excellent communication skills and the ability to collaborate effectively in cross-functional environments
• Passion for learning and staying current with evolving technologies and industry trend

Nice To Have

• Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments)

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position requires candidates to be based in the Nordics (Denmark, Finland, Iceland, Norway or Sweden).
Travel: 20% travel domestically and globally
Job ID: 1375

Role & Team

We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.

As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.

Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.

This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do 

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
• Set metrics and accountability for platform performance, reliability, and developer productivity

Skills & Experience

• 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
• Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
• Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
• A track record of building reliable, scalable systems used by fast-moving product teams
• Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
• Strong communication skills and the ability to influence across org boundaries
• Experience in data- or ML-heavy products

Nice To Have

• Experience with geospatial data, image processing or mapping technology 

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits.  
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

The Role

As the CTO of Overstory, you will lead and scale a world-class engineering team that reduces the risk of wildfires and power outages around the world. This is a rare opportunity for a seasoned engineering leader to help guide a commercially successful climate-tech company through its next stage of growth.

Following our Series B, we’re entering a phase of rapid expansion. You will define a compelling technical strategy and build the team to deliver it. This role requires someone who can zoom in and out seamlessly — rolling up your sleeves to solve complex technical problems while also communicating effectively with the board.

Our product sits at the intersection of AI and remote sensing — fields evolving at light speed. The work is exciting, mission-driven, and core to transforming the electric utility industry and creating a more resilient grid. But it comes with ambiguity. We’re looking for someone energized by the unknown, eager to build products customers love through bold, creative approaches. You must be comfortable balancing the needs of a growing business with building scalable solutions for the future — and be ready to move with urgency on both.

Time zone requirement: Europe (GMT/WET, CET) and Eastern United States (EST)

What A Successful Candidate Looks Like

You’re an entrepreneurial startup leader with a track record of leading engineering teams from Series A through Series C and beyond with a mix of boldness and empathy. You understand the ups and downs that are normal at VC-backed startups. You know how to inspire global teams with an exciting vision while offering them the hands-on support to bring it to life. 

You have a strong network to tap, and you are bold in your recruiting. You’re not afraid to hire people who know more than you and to stretch for top talent, and you understand that recruiting is a top priority that requires constant networking and attention. You will build a diverse team that has a high-performing, inclusive, and caring culture.

What You’ll Do

• Lead the development of all of Overstory’s technology, including our software product, our ML models, the internal tools we use and the platform that underlies it all.
• Work in close partnership with our VP Product & Strategy to propel the business forward with the product we are developing. You’ll work to deeply understand our customers' problems so that you can lead bold engineering initiatives to solve them.
• Build a high-performing and diverse engineering team that works remotely from multiple countries, and across multiple time zones.
• Create a compelling technical vision and translate that into a strategy for the next 12-36 months.
• Lead highly productive cross-functional teams that ship a high-quality product on a daily basis. 
• Foster an inclusive culture where everyone can do their best work.
• Create strong lines of communication within your team and partnerships with other key parts of the business.

About You

Traits we value:

• Boldness: You’re not afraid to make hard decisions and take risks, and you always act with urgency. 
• Mission-driven: You care deeply about building great products that help communities adapt to climate change by creating a more resilient electrical grid.
• Empathy: You can attract and develop a diverse team, and you are inclusive in your approach to leadership. 
• Listening: You lead with inquiry. You make people on your own team and across the company feel heard.
• Curiosity: Learning excites you, and you’re not afraid to admit what you don’t know.
• Clarity: You’re a simplifier, not a complicator, and you can communicate clearly to a broad audience without using jargon. 
• Collaborative spirit: Team above ego, and you’re never afraid to get your hands dirty.

Experience we value:

• You have managed a team of 70+ people.
• You have been on a VC-backed startup journey from Series A through Series C or later, and you know how to scale a team successfully through those transitions. You value the entrepreneurial “get it done fast” spirit of the early days, while also setting a standard for excellence that will scale to later stages.
• You have experience working on a complex, ML-based product. Bonus points for geospatial or remote sensing experience. 
• You have a deep understanding of software development processes and are product-centric in the way you think about building technology. 
• You have experienced the value of cross-functional teams where engineering, product and design work side-by-side. 
• You have managed remote teams.
• You have managed global teams.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Er du skarp indenfor data og tech? Og vil du være med til at bygge de systemer der understøtter medieinvesteringerne for store såvel som lokale brands? 

Så er du måske den person, vi leder efter til en praktikplads indefor AI!  

Om os  

Choreograph er data- og teknologi-enheden i WPP Media - et af de førende mediebureauer globalt. Choreograph er motorrummet bag WPP Media, og det er her vi omsætter data til beslutninger og beslutninger til resultater for nogle af verdens største brands. Mens andre teams i WPP Media planlægger og køber medier, er vi dem der bygger infrastrukturen, modellerne og systemerne der gør det hele smartere og målbart. Det sker ved at kombinere WPP's globale dataplatforme og AI-tools med lokal teknisk innovation - løsninger vi selv bygger og tilpasser til de nordiske markeder.  

Som AI-praktikant havner du i et miljø hvor vi er ved at bevæge os fra enkeltstående AI-værktøjer til en agentic organisation – og du kommer til at bidrage til netop den udvikling. 

 Om rollen 

Som AI-praktikant vil du spille en central rolle i at hjælpe vores udviklere og beslutningstagere med at levere og forbedre AI og automation-løsninger på tværs af organisationen. Du vil sidde i et nordisk team i Choreograph og levere løsninger til både +400 danske kolleger og 1.200 på tværs af Norden.  

Du vil få praktisk erfaring med AI og tilegne dig kompetencer, der styrker din profil og forbereder dig på en fremtidig fuldtidsstilling. Dine opgaver vil bla. være: 

• Samarbejde med relevante stakeholders om at identificere og mappe AI/automation use-cases. 

• Identificere og bygge de rette, robuste løsninger som svar på udvalgte use-cases 

• Supportere det nordiske team i at designe den optimale AI-arkitektur på tværs af vores globale tools (WPP Open) og lokale systemer og datamodeller. 

• Hands-on arbejde med Claude CoWork, Google VertexAI, Agent Developer Kit etc. 

Hvem er du? 

Vi forestiller os at du:  

• Er en stærk teknisk profil med en generel nysgerrighed inden for AI 

• Er i gang med en videregående uddannelse inden for teknologi, data, IT eller programmering 

• Er ansvarlig, selvstændig og ambitiøs i din tilgang til ny viden 

• Har en analytisk og datadrevet tilgang til opgaver 

• Er en teamplayer med gode kommunikationsevner 

• Har nemt ved at forstå nye systemer og deres sammenhænge 

• Tænker i smartere og mere effektive arbejdsgange 

Gode kompetencer at have men ikke krav: 

• Basic kendskab til programmering fx Python, YAML og/eller JSON  

• Arbejdet med databaser & SQL 

• Forståelse for REST-API'er, MCP og Google Cloud for Marketing 

• Modellering & ML? 

Lyder det som noget for dig?   

Så send os dit CV og en motiveret ansøgning, hvor du fortæller os om dine erfaringer, kompetencer og hvorfor netop du er den rette til denne praktikplads. Vi anbefaler, at du søger hurtigst muligt, da vi indkalder til samtaler løbende.  

Praktikperiode: 17. august – 16. december 2026. Arbejdstid: 37 timer om ugen (med mulighed for fleksibilitet i forhold til dit studie). Bemærk: Praktikken er ulønnet, men vi tilbyder en gratis frokostordning, morgenmad, gratis holdtræning, fredagsbar og mange andre perks. Og så lover vi, at du går herfra med masser af ny erfaring og et kæmpe netværk. 

Om WPP Media:  

WPP Media er WPP's globale mediebureau. I en verden, hvor medier er overalt og i alt, samler vi de bedste platforme, mennesker og partnere for at skabe grænseløse muligheder for vækst. For mere information, besøg wppmedia.com.  

Hos WPP Media tror vi på styrken i vores kultur og vores medarbejdere. Det er det, der løfter os til at levere enestående oplevelser for både vores kunder og hinanden. I denne rolle vil det være afgørende at omfavne WPP Medias kerneværdier:  

• Vær ekstraordinær ved at lede kollektivt for at inspirere transformerende kreativitet.  

• Skab et åbent miljø ved at balancere mennesker og kundeoplevelser ved at dyrke tillid.  

• Vær optimistisk ved at fremme vækst og udvikling for at mobilisere virksomheden.  

Vi glæder os til at høre fra dig. 

Følg os på TikTok og få et lille glimt af hvordan livet som praktikant ser ud inde hos os her.  

Join AutoProff – Help Build Trust in the Price Models Powering Our European Growth! 🚗

We’re looking for an Advanced Pricing Analyst to join our team, based out of our Vejle headquarters.

At AutoProff, pricing is at the heart of how we serve customers and drive commercial performance. As our pricing capabilities continue to evolve, we need stronger ownership of how our price models perform in production. This role will be central to creating transparency around pricing quality, spotting issues before they become escalations, and ensuring we understand why our models behave the way they do.

As Advanced Pricing Analyst, you will own the reporting, monitoring, and investigation of price model performance across our production setup. You will help define the right benchmarks and reporting views to evaluate performance over time, identify weakspots or unusual behaviour, and support both existing and new model evaluations. You will also take the lead on investigating specific pricing cases raised by Pricing teams, using data and system-level understanding to determine whether issues stem from data quality, model behaviour, system integration, or whether the model output is in fact well supported by market observations.

This role sits at the intersection of pricing, analytics, and technical investigation. You will work closely with Pricing, Data Science, and other stakeholders to ensure that pricing behaviour is monitored, understood, and communicated clearly across the organisation. You will also contribute to building and strengthening the pricing setup that supports AutoProff’s continued growth across Europe.

Let’s dive into your key responsibilities, you will

• Own the reporting and monitoring framework for price model performance in production, including defining the KPIs, benchmarks, and views needed to create a clear overview of model quality and behaviour.
• Analyse model performance across segments, markets, and versions to identify weakspots, anomalies, drift, and other signals of deteriorating quality before they become business issues.
• Lead investigations into unusual price outcomes and determine whether the underlying cause relates to data quality, model behaviour, system integration, or stakeholder interpretation.
• Build a strong understanding of how price models are productionised and consumed through APIs, and validate that models are being supplied with the correct data, format, and values.
• Communicate findings and recommendations clearly to Pricing, Data Science, and management, while supporting the quality assurance and benchmarking of existing and new price models.

The need-to-have skills

• Strong SQL skills and experience working independently with large datasets to build reporting, monitor performance, and investigate pricing behaviour.
• Strong analytical, problem-solving, and visualisation skills, with the ability to structure investigations and turn complex findings into clear and actionable insights.
• Hands-on Python experience for data investigation, exploratory analysis, and technical debugging.
• A good understanding of how machine learning models work in practice, including how input quality, feature behaviour, formatting issues, or drift can affect outputs.
• Comfort working with APIs, payloads, and technical system flows, combined with strong communication skills and confidence in challenging assumptions with data and evidence.

The nice-to-have skills

• Experience working with pricing models, recommendation models, or other predictive models in production.
• Experience investigating model-serving issues, feature quality issues, or data pipeline issues affecting live model outputs.
• Familiarity with model monitoring concepts such as drift detection, segmentation analysis, and performance benchmarking over time.
• Ability to reproduce or inspect price requests locally through technical tools, services, or APIs.
• Experience working closely with Data Science teams and translating between analytical, technical, and business perspectives.

We’re eager to hear from you! If this sounds like a great match and sparks your interest, don’t wait, apply today!

About AutoProff

AutoProff was founded in 2013 with the aim to digitalize B2B used car trading, helping car dealers increase sales and improve profits. 

in August 2022, AutoScout24, the leading specialized pan-European online car marketplace, acquired a majority stake in AutoProff. The partnership has supported the rapid expansion of AutoProff's solutions across Europe and enables the creation of Europe's first fully integrated C2B-B2B-B2C dealing solution for used cars. 

At AutoProff, we specialize in providing online B2B used-car dealing solutions designed to improve the buying and selling experience for professional car dealers and their customers.

We are the emerging European leader with more than 150,000 B2B used cars on our online trading platforms annually.   

With a focus on effective solutions, digitization and customer service, we are committed to being the home of B2B car dealing for European car dealers. 

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.

40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste. 

We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste.

We’re growing fast: Our community of 133 million registered users and 261,000 active partners across 21 countries, have together already prevented 517+ million meals from going to waste - avoiding over 1.397.000 tonnes of CO2e!

The Role

Too Good To Go is looking for a Senior Data Engineer (we would also consider mid-levels) to further enhance our existing data platform. You will be a part of our data platform team and will be based from our HQ in Copenhagen.

You get to bring your own opinions and experience when it comes to the technology stack. We’ve kept the legacy systems to a minimum, so there is room to adapt and optimize.

Tech Stack

Our data stack consists of Airflow, Python, dlt, AWS Redshift, lambda, Kinesis, S3, glue, dbt, metaflow and we use Terraform to manage our infrastructure using GitOps principle. We have access to a number of AI tools to boost development productivity.

Responsibilities 

• Design, build, and maintain a data platform and data pipelines from end-to-end, ensuring data accuracy, availability, and quality for the Tech, Product and Analytics teams
• Collaborate closely with software engineers and analytics engineers to understand data requirements, develop data models, and optimize data pipelines for advanced analytics and machine learning use cases
• Develop and maintain scalable, efficient, and reliable ETL processes, using best practices for data ingestion, storage, and processing
• Work with stakeholders to identify and prioritize analytics requirements
• Proactively monitor data pipelines, troubleshoot, and resolve data-related issues
• Contribute to the continuous improvement of data engineering practices, including documentation, code reviews, and knowledge sharing

Desired Experience

• Proven experience in a similar role, working in full autonomy but also collaboratively.
• Experience with infrastructure-as-code, with Terraform.
• A background in building scalable and data-intensive applications on cloud infrastructure.
• Fluent in Python & SQL and you understand the internals of modern data warehouses 
• Experience with CI/CD tools, github actions, Docker (ideally on Kubernetes).
• You have worked with Airflow or similar orchestration tools.
• Experience applying DevOps principles to data systems (DataOps).
• Exposure to ML platforms.
• Event stream processing.
• Significant knowledge of AWS services (or other cloud providers), particularly those related to data storage, processing, and analytics (e.g.,S3, Kinesis, Lambda, Redshift, OpenSearch, RDS, Glue).
• Some experience to modern data architecture

Our values

• We win together: Food waste is a big beast to fight. We believe in a #oneteam.
• We raise the bar: We always push for more. We work smart, smash barriers and elevate one another.
• We keep it simple: Our ambitions are bold but our solutions are simple.
• We build a legacy: We’re proud of the change we’re driving. 
• We care: We always look out for each other. Caring is also about the way we do business. We do the right thing.

What We Have To Offer

• An opportunity to work in a global social-impact company and certified B Corporation! where you can see a real and tangible impact in your role.
• To be an integral member of our defined product teams. We are eager for you to make an impact and contribute to the product scope and development; Your insights are valuable, and we are here to listen.
• Work-life balance is important to us! Focus on the job to be done, not the hours spent, there is no need for overtime. On-call duty is not part of the job, but can be additionally agreed upon should you and your manager both wish it. We believe that happy environments create happy employees. 
• We trust in our employees and encourage an autonomous environment that provides several opportunities for employees to contribute, develop and take ownership of their work in a way that works for them.
• To be part of an international company, with over 1,300+ colleagues across 21 countries that are on the same important mission.
• An informal environment, working alongside 180+ passionate people within Tech & Product
• We celebrate our differences and our successes and have a strong values-driven team culture.
• We work in a hybrid set-up and value in office work weekly.
• We may be able to support you with a working visa in Copenhagen, please be prepared to discuss this topic further as your first stage interview.

 How to apply

• We take recruitment very seriously, so please carefully read everything we have written above.
• Please also check our website and international media in order to get a good overview of Too Good To Go.
• Please submit your CV and Cover letter in English.
• Please note that we only accept applications coming through our platform. No CV or Cover Letter will be accepted by email or LinkedIn direct messaging.

Job Ref: #LI-CT1

What is The Role

We are looking to bring on a Principal Product Manager for AI within our Observability team, where you'll drive the vision and execution of AI-powered features across our Observability platform. You'll shape how Agentic AI, Machine Learning, LLMs, and semantic context transform the entire observability lifecycle - from data onboarding and enrichment to advanced root cause analysis, impact assessment, and automated remediation. This is a high-impact role that will help shape our product offering.

What You Will Be Doing

• Define and execute the AI strategy for Observability, leveraging Elastic's AI stack (Elastic Inference Service, Elastic’s Agent Builder, AI Assistant, RAG, Vector Search, Knowledge Bases, NLP).
• Own the roadmap for embedding AI and ML into log analytics, incident investigation, and SRE workflows.
• Partner with Engineering, UX, and cross-functional teams to deliver seamless, intuitive AI-driven experiences.
• Collaborate with our Sales and Marketing teams to drive adoption, enablement, and go-to-market for new AI features.
• Engage with customers and the field to gather feedback, validate solutions, and iterate quickly.
• Track industry trends and competitive landscape to ensure Elastic leads in AI-powered Observability.

What You Bring 

•  5+ years in product management or a related field, with a focus on AI, ML, or Observability.
• Deep understanding of AI/ML technologies (LLMs, RAG, NLP, semantic search) and their application to real-world problems.
• Experience building and shipping data-intensive or AI-driven products at scale.
• Strong technical acumen and ability to translate complex AI concepts into user value.
• Excellent communication and collaboration skills; able to influence across teams and functions.
• Passion for innovation, customer empathy, and a bias for action.

What is The Role

We are looking to bring on a Principal Product Manager for AI within our Observability team, where you'll drive the vision and execution of AI-powered features across our Observability platform. You'll shape how Agentic AI, Machine Learning, LLMs, and semantic context transform the entire observability lifecycle - from data onboarding and enrichment to advanced root cause analysis, impact assessment, and automated remediation. This is a high-impact role that will help shape our product offering.

What You Will Be Doing

• Define and execute the AI strategy for Observability, leveraging Elastic's AI stack (Elastic Inference Service, Elastic’s Agent Builder, AI Assistant, RAG, Vector Search, Knowledge Bases, NLP).
• Own the roadmap for embedding AI and ML into log analytics, incident investigation, and SRE workflows.
• Partner with Engineering, UX, and cross-functional teams to deliver seamless, intuitive AI-driven experiences.
• Collaborate with our Sales and Marketing teams to drive adoption, enablement, and go-to-market for new AI features.
• Engage with customers and the field to gather feedback, validate solutions, and iterate quickly.
• Track industry trends and competitive landscape to ensure Elastic leads in AI-powered Observability.

What You Bring 

•  5+ years in product management or a related field, with a focus on AI, ML, or Observability.
• Deep understanding of AI/ML technologies (LLMs, RAG, NLP, semantic search) and their application to real-world problems.
• Experience building and shipping data-intensive or AI-driven products at scale.
• Strong technical acumen and ability to translate complex AI concepts into user value.
• Excellent communication and collaboration skills; able to influence across teams and functions.
• Passion for innovation, customer empathy, and a bias for action.

Title: Data Platform Engineer   

Level: Mid-Level Engineer, Data & Technology Solutions  

Location: Copenhagen

Reporting to: Lead Engineer 

About Open Intelligence

We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry. 
Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems. 

WHO WE ARE LOOKING FOR 

We are seeking a skilled Data Platform Engineer to design, build, evolve, and optimize our cloud infrastructure, CI/CD pipelines, and deployment processes for our global data and AI platform. You will collaborate closely with data scientists, data engineers, QA, and IT teams to streamline development workflows, improve system reliability, and ensure secure, scalable infrastructure. This is a hands-on technical role for someone who is comfortable delivering reliable data solutions and is eager to leverage new development and testing technologies. You will collaborate closely with team members and product stakeholders to ensure our data infrastructure meets evolving business needs.  

WHAT YOU WILL DO: 

• Design scalable cloud-native systems on platforms such as Amazon Web Services or Google Cloud Platform that support Spark data analytics and AI workloads 

• Implement Infrastructure as Code using HashiCorp Terraform 

• Build secure multi-account / cross-cloud environments 

• Optimize cost efficiency for high-scale data workloads and low latency microservices 

• Enable visibility on performance and cost metrics per environment and workload 

• Deploy and manage clusters with Kubernetes with containerized data workloads and microservices 

• Implement blue/green and canary deployment strategies 

• Build robust automations using tools such as GitHub Actions, GitLab CI/CD, or Argo Workflows 

• Automate testing, security scans, and compliance checks 

• Assist other team members in architectural choice of cloud services 

• Enforce a small, coherent and flexible configuration surface to reduce deployment time and improve release confidence, in collaboration with other team members 

• Champion DRY and DevOps principles across the team through code reviews, documentation, and shared tooling 

WHAT YOU WILL NEED 

5+ years of experience in Data Platform Engineering, Cloud Engineering, DataOps or Site Reliability Engineering (SRE) within enterprise-scale environments 

Strong hands-on experience with cloud platforms such as Amazon Web Services or Google Cloud Platform 

Proven expertise in Infrastructure as Code using HashiCorp (or equivalent IaC tooling) 

Deep experience containerizing and orchestrating applications using Docker and Kubernetes 

• Strong experience building and maintaining CI/CD pipelines 

• Solid scripting skills (Bash, Python, or similar) with a strong automation-first mindset 

• Golang knowledge is a plus 

• Experience implementing observability and monitoring solutions such as Datadog, Prometheus, or the Elastic stack 

• Strong understanding of networking concepts (VPCs, load balancing, DNS, IAM, security groups) 

• Experience working with data-intensive, AI/ML, or marketing technology platforms at scale 

• Knowledge of security principles, security best practices, and compliance standards (e.g., GDPR) 

• Experience supporting multi-region, globally distributed systems 

• Strong collaboration and communication skills, with the ability to partner across engineering, product, and data teams 
• A proactive, ownership-driven mindset with a focus on reliability, scalability, and continuous improvement 

If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

The opportunity
The Unity Studio Productions team is a group of highly skilled Software Developers and Technical Artists with deep expertise in the Unity platform, whose main goal is to help our customers improve their projects, internal workflows, and assist them in the resolution of very challenging technical problems, bridging with the Unity Engine team in the process. To do this, we provide a series of short-term and long-term co-development services that can range in duration from one week to eighteen months and beyond.

Our customers include globally known game development studios and publishers in need of having their games’ performance optimized, their visual targets met, ported to difficult platforms, and timely advice on how best to use Unity. If you're technically skilled, customer-focused, curious, and thrive on variety, this job will suit you.

Your day-to-day work will include collaborating with game development studios, optimizing their games, developing solutions for their most challenging problems, and striving to ensure that their projects succeed.

We're committed to maintaining a diverse team, and we welcome and encourage applicants with diverse experiences and backgrounds.

What you'll be doing

• Working closely with external customer teams in the Denmark to develop games and game production tools.
• Scoping, estimating, and assisting in the planning of customer projects.
• Build close relationships with Unity's internal development teams, and provide customer feedback and production verification of future features of Unity technology and services.
• Efficiently solve problems, communicate, and educate our clients, both remotely and on-site at their offices.
• Proactively train yourself to remain at the forefront of Unity Engine technology and game content creation technology.
• Visit customers for short-term consultations and give them advice on how to improve their existing projects.

What we're looking for

• Experience on a variety of game projects, platforms, not necessarily all Unity.
• Ability to adapt to customer production environments and in some cases, take over work streams in collaboration with the customer.
• Understanding of the technical challenges related to complex game development environments.
• Ability to work closely in a team, plan, coordinate, communicate work intentions, progress, and deliver work in a timely manner, dealing with the usual complications of game development.
• The ability to work independently, identifying and clarifying the tasks, assisting the Project Manager and more inexperienced developers.
• The ability to develop and debug code written in a large multithreaded C# or C++ codebase, using a multi-platform engine. (e.g. Unity, Unreal, in-house)
• Deep technical expertise in the Unity ecosystem, including C#, ScriptableObjects, Addressables, Unity Lifecycle and modern render pipelines. (URP/HDRP).
• A proactive mentor who excels at technical documentation and cross-departmental problem-solving.
• Proven ability to profile and optimize CPU, GPU, and memory usage using the Unity Profiler, Frame Debugger, and RenderDoc.
• The ability to translate complex technical topics into understandable concepts for both technical and non-technical stakeholders.
• Experience shipping and maintaining titles across diverse hardware (Mobile, PC, or Console) with an understanding of platform-specific constraints.

You might also have

• Experience (or strong interest) in high-performance paradigms like DOTS, ECS, and the C# Job System.
• Experience with Version Control (Git/Perforce) in a production environment.
• Experience in delivering training/technical talks and writing technical articles.
• Awareness of AI/ML workflows and an understanding of how to leverage emerging technologies to deconstruct and solve complex problems.

Additional information

• This role requires residency in a city with an active USP Manager presence
• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

IMC is continuing to grow its trading initiative in Aarhus, Denmark, to become a major player in the European Power and Gas markets. This expansion is built on a strong foundation of experienced external hires in Trading and internal talent in Technology. With a collaborative and entrepreneurial culture, the team offers a unique opportunity to contribute to shaping and scaling this new business.

The group combines deep expertise with broad trading experience and values innovation, ownership and cross-functional collaboration. As this business continues to grow, there will be increasing opportunities to take on broader responsibilities and contribute meaningfully to its success.

Core Responsibilities

• Generate and validate high-quality alpha signals using statistical methods and machine learning, with strong focus on robustness and overfitting
• Combine market microstructure and energy fundamentals to build predictive trading signals
• Build and maintain reliable, production-ready models with clear testing and validation standards

Skills and Experience

• 2+ years of experience developing quantitative models, ML-driven signals, or trading strategies in financial futures markets, preferably within energy
• Strong foundation in probability and statistics, with substantial real-world experience applying machine learning or deep learning
• Strong programming skills (Python preferred), with experience writing production-quality code
• Experience working with large-scale time series data
• Practical mindset focused on deployable solutions and real-world trading performance

FEQ327R156

Mission 

As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.  
• Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

What we look for:

• 7+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Experience with data engineering, or a good understanding of the concept of data engineering
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI
• [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

P-1360

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 2+ years of professional software development experience, or alternatively a PhD degree.
• Bachelor’s degree or higher in Computer Science, related field, or equivalent experience. 
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.

P-1343

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 5+ years of professional software development experience.
• Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience. 
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating large-scale, critical distributed backend systems.
• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.
• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.

P-1344

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 8+ years of professional software development experience.
• Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating large-scale, critical distributed backend systems.
• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.
• Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.
• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.