Are you eager to learn new technologies? Do you appreciate a free working environment where you get a high level of decision-making authority but also the support you needed? Can you turn business requirements into excellent technical solutions leveraging Adobe technologies? And would you like to work with some of the world’s most skilled marketing automation developers on one of the most advanced CRM/marketing platforms? Then you might be just the one we are looking for!

What will your day look like?

In the role as an Adobe Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy, and target for the project, followed by designing, developing, and implementing robust solutions leveraging Adobe marketing platforms.

Furthermore, your tasks include:

• Leading the implementation of new features, bug fixes, and complex configurations within Adobe environments.
• Collaborating with Architects and Technical Project Managers to translate client requirements into precise technical specifications, estimates, and deployment plans.
• Conducting in-depth technical investigations, troubleshooting issues, and proposing effective solutions, often involving advanced programming and integration.
• Mentoring and providing technical guidance to Associate and other Developers on complex tasks, coding best practices, and problem-solving techniques.
• Ensuring the successful integration, testing, and deployment of client applications and platforms, applying rigorous quality assurance methods.
• Staying abreast of industry trends and emerging technologies, especially within the Adobe ecosystem, to continually enhance our offerings and provide innovative solutions.
• Acting as a go-to resource for technical challenges, proactively engaging in discussions with clients and internal teams to find the best approach.

Who are you going to work with?

You will become part of an exciting and challenging professional environment, working closely with Architects, Application Consultants, Technical Project Managers, and other Developers (including Associate, Senior, Lead, and Principal levels) within the technical team. You will also collaborate with Data Specialists and Designers outside of your department. Our common feature is that we all are competent, respectful teammates who go the extra mile to help one another.

We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy-going, dynamic atmosphere where we not only work together – we are great at having fun as well.

What do you bring to the table?

You are an outgoing and self-motivated person who contributes positively to the working environment with your team-player attitude. Your previous experience with being a trusted advisor for clients and colleagues means that you are not afraid to express your opinion, and your organized approach helps you meet deadlines and break down projects into manageable chunks.

In addition, you have:

• 4+ years of hands-on development experience, ideally within an agency or consulting environment, with a strong focus on digital marketing solutions.
• Proven expertise with Adobe Experience Cloud platforms, such as Adobe Journey Optimizer (AJO), Adobe Campaign Classic, Adobe Marketo Engage, Adobe Analytics, Adobe Experience Platform (AEP), Adobe Target (AT).
• Strong proficiency in front-end and back-end technologies including JavaScript, HTML, XML, CSS, and SQL, along with experience in other programming languages (e.g., Python, Java) and API integrations.
• Active Adobe certifications such as AJO Developer Expert, RTCDP Developer Expert, Adobe Campaign Classic Developer Expert, Adobe Campaign Standard Developer Expert
• Experience with code versioning systems, automated integration testing, security testing, and secure coding practices.
• Deep understanding of data models, optimization techniques, and GDPR principles.
• Excellent communication skills (in English), with the ability to articulate complex technical concepts to diverse audiences (technical and non-technical).
• A proactive and collaborative mindset, with a strong commitment to continuous learning, problem-solving, and a growth mindset.

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Hungry to learn new technologies and tools
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Bonus points if you have:

Experience with LinuxExperience with Python developmentKnowledge of Kubernetes & kubectlExperience with AWS, GCP and/or Azure

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

#LI-Hybrid

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.  

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

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

• Design, build and maintain data pipelines, orchestrations and event-based data flows
• Support the migration to a data mesh model with embedded domain ownership
• Develop and maintain platform-level tooling for monitoring, governance and self-service access
• Collaborate with analytics, BI and product teams to ensure data is reliable, reusable and observable
• Partner with engineering teams to embed sound data practices into service design and operations
• Contribute to the technical roadmap for the AutoProff Data Platform together with platform leadership

• Proficiency in Python and SQL for building, testing and maintaining data pipelines and transformations
• Experience working with orchestration and pipeline frameworks such as Airflow (or similar tooling)
• Solid knowledge and practical understanding of AWS services and best practices (e.g. S3, Lambda, Step Functions, Athena, Kinesis, Redshift)
• Strong understanding of data governance, security and privacy requirements (e.g. GDPR, access controls)
• Comfortable working with event-driven architectures and structured data across microservices
• Familiarity with infrastructure-as-code (CDK or Terraform) and CI/CD practices
• Ability to collaborate across teams and clearly explain complex data flows and architectural decisions

• Experience implementing data mesh or decentralised data platform architectures
• Familiarity with BI tools and embedded dashboards (e.g. QuickSight, icCube, Qlik)
• Practical experience working with dbt/sqlmesh or similar analytics framework
• Hands-on experience with data observability, lineage and quality monitoring (e.g. DataHub or Great Expectations)
• Experience with real-time data setups (e.g. Snowplow, TimescaleDB)

About AutoProff

AutoProff was founded in 2013 by the experienced car dealer Jesper Ratza in Denmark. The aim was 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.

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

The Role:

As a Sales Engineer at Ping Identity, you'll merge your enthusiasm for identity management with a commitment to customer success. In collaboration with our dynamic sales team, you will engage in customer meetings, demonstrations, and proof of concepts, showcasing the business and technical benefits of our solutions. Your role is pivotal in enabling personal, team, and customer achievements through insightful and innovative solutions that meet technical and business needs.

This role offers the chance to showcase your technical and consultative skills, engaging with stakeholders of various roles and levels to understand and meet their technical requirements with cutting-edge solutions. Your expertise in Identity and Access Management (IAM) technologies will be key in delivering impactful solutions that align with customer business goals.

Responsibilities:

• Deliver pre-sales activities including solution demonstrations, presentations, technical guidance, proof of concepts, and RfX responses.
• Act as the go-to technical expert on Ping Identity solutions for customers, partners, and internal teams.
• Establish enduring relationships with customers and become their trusted advisor
• Collaborate with the sales team to deliver revenue. Emphasis during key sales cycle phases of Qualification, Discovery, and Technical Proof Phase 
• Coordinate, throughout sales cycle, pre-sales efforts with a post-sales service delivery team
• Leading customer-facing meetings, both through videoconferencing and in-person to, deliver presentations, whiteboarding sessions, and demonstrations of Ping Identity solutions and their value remotely, in-person, and at industry events
• Provide insightful feedback on product enhancements and customer needs to product owners.
• Mentoring, both formally and informally, junior team members
• Develop subject matter expert-level knowledge of at least one of Ping Identity's solutions and serve as an expert resource to other Sales Engineers within the organization
• Able to travel up to 40% as needed. This will mostly be in the Nordic region but may occasionaly include Benelux or Eastern Europe

Required Skills & Qualifications:

• Bachelor’s degree in computer science or equivalent field, or 4+ years' experience with enterprise-level software systems in a customer-facing role, such as pre-sales, consulting, support, or training
• Deep knowledge of standard identity protocols: SAML, WS-Fed, OAuth, OIDC, and SCIM as well as experience with REST interfaces
• Deep knowledge of technologies that underly identity solutions: LDAP (including Active Directory), SSL/TLS, PKI, RADIUS, SQL, DNS, JDBC
• Experience with one or more modern programming languages and web technologies: JavaScript, Python, Node.js, HTTP, HTML, CSS, JSON, Java.
• Expertise in developing and delivering effective technical presentations, workshops, customized demonstrations, and proof of concepts
• Strong communication and customer service skills.
• Adept at linking technical capabilities to customer needs.
• Ability to work with a high level of self-direction and/or collaboratively with team and customers
• Knowledge of a subset of the following IAM concepts: Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow / 
• Eagerness to learn; expertise in specific business areas or industry verticals is a bonus.
• Familiarity with infrastructure, networking technologies, and cloud service providers.
• Fluency in any Nordic language

Ideal Candidate Skills:

• Installation and/or configuration of one or more IAM technologies from Ping, Okta, Auth0, Sailpoint, CA, Oracle or similar
• Experience with several types of web applications servers and operating systems: Windows, Mac, RedHat, Ubuntu, Apache, Nginx, Tomcat
• Experience with DevOps processes and platforms such as GitHub, Terraform, Kubernetes, and Helm, as well as deployment in major cloud environments (AWS, Microsoft Azure, Google Cloud Platform)
• Successful delivery of a SaaS-based IAM solution
• Experience in Ping multi-tenant SaaS solutions: PingOne SSO, PingID, PingOne MFA, PingOne Verify, PingOne Protect, PingOne Authorize, and DaVinci

The Role:

As a Sales Engineer at Ping Identity, you'll merge your enthusiasm for identity management with a commitment to customer success. In collaboration with our dynamic sales team, you will engage in customer meetings, demonstrations, and proof of concepts, showcasing the business and technical benefits of our solutions. Your role is pivotal in enabling personal, team, and customer achievements through insightful and innovative solutions that meet technical and business needs.

This role offers the chance to showcase your technical and consultative skills, engaging with stakeholders of various roles and levels to understand and meet their technical requirements with cutting-edge solutions. Your expertise in Identity and Access Management (IAM) technologies will be key in delivering impactful solutions that align with customer business goals.

Responsibilities:

• Deliver pre-sales activities including solution demonstrations, presentations, technical guidance, proof of concepts, and RfX responses.
• Act as the go-to technical expert on Ping Identity solutions for customers, partners, and internal teams.
• Establish enduring relationships with customers and become their trusted advisor
• Collaborate with the sales team to deliver revenue. Emphasis during key sales cycle phases of Qualification, Discovery, and Technical Proof Phase 
• Coordinate, throughout sales cycle, pre-sales efforts with a post-sales service delivery team
• Leading customer-facing meetings, both through videoconferencing and in-person to, deliver presentations, whiteboarding sessions, and demonstrations of Ping Identity solutions and their value remotely, in-person, and at industry events
• Provide insightful feedback on product enhancements and customer needs to product owners.
• Mentoring, both formally and informally, junior team members
• Develop subject matter expert-level knowledge of at least one of Ping Identity's solutions and serve as an expert resource to other Sales Engineers within the organization
• Able to travel up to 40% as needed. This will mostly be in the Nordic region but may occasionaly include Benelux or Eastern Europe

Required Skills & Qualifications:

• Bachelor’s degree in computer science or equivalent field, or 4+ years' experience with enterprise-level software systems in a customer-facing role, such as pre-sales, consulting, support, or training
• Deep knowledge of standard identity protocols: SAML, WS-Fed, OAuth, OIDC, and SCIM as well as experience with REST interfaces
• Deep knowledge of technologies that underly identity solutions: LDAP (including Active Directory), SSL/TLS, PKI, RADIUS, SQL, DNS, JDBC
• Experience with one or more modern programming languages and web technologies: JavaScript, Python, Node.js, HTTP, HTML, CSS, JSON, Java.
• Expertise in developing and delivering effective technical presentations, workshops, customized demonstrations, and proof of concepts
• Strong communication and customer service skills.
• Adept at linking technical capabilities to customer needs.
• Ability to work with a high level of self-direction and/or collaboratively with team and customers
• Knowledge of a subset of the following IAM concepts: Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow / 
• Eagerness to learn; expertise in specific business areas or industry verticals is a bonus.
• Familiarity with infrastructure, networking technologies, and cloud service providers.
• Fluency in any Nordic language

Ideal Candidate Skills:

• Installation and/or configuration of one or more IAM technologies from Ping, Okta, Auth0, Sailpoint, CA, Oracle or similar
• Experience with several types of web applications servers and operating systems: Windows, Mac, RedHat, Ubuntu, Apache, Nginx, Tomcat
• Experience with DevOps processes and platforms such as GitHub, Terraform, Kubernetes, and Helm, as well as deployment in major cloud environments (AWS, Microsoft Azure, Google Cloud Platform)
• Successful delivery of a SaaS-based IAM solution
• Experience in Ping multi-tenant SaaS solutions: PingOne SSO, PingID, PingOne MFA, PingOne Verify, PingOne Protect, PingOne Authorize, and DaVinci

Are you excited by the power of data and the potential it holds to solve business problems? Do you want to help world class brands use marketing and customer data to drive revenue growth and better customer experiences? Are you ready to stand in front of clients and help guide them through the jungle of cloud computing, insights, advanced analytics, and AI? Join our team as a Data Strategy Consultant and help our clients transform their marketing data capabilities to deliver tangible business impact! 

What will your day look like?

As our new Data Strategy Consultant, you will join our growing team of CRM & marketing data experts. Here, you will help our clients collect, analyse and activate 1st-party and 3rd-party data at scale to create impactful customer experiences that drive measurable business results.  You will help to propose, design and deliver solutions that support customer insights, audience activation, personalization and measurement of marketing performance. 

More specifically, your tasks will include:   

Customer Data & Audience Strategy 

• Convert business and marketing objectives into actionable audience strategies and frameworks at both global and local levels. 

• Establish reusable audience taxonomies, segmentation logic, and eligibility requirements. 

• Identify necessary data elements and align them with existing platforms such as DWH and Martech 

Experimentation & Measurement Frameworks 

• Develop standardized methodologies for holdouts, control groups, test design, and KPI definition, including incrementality and consent value. 

• Create reusable templates for test briefs and result reporting. 

• Collaborate with analytics and operations teams to execute initial tests and implement a scalable experiment model. 

Technology & Data Architecture Enablement 

• Translate marketing requirements into solution patterns for critical use cases for activation and measurement and help create clear specifications for tech and data specialists. 

• Partner with platform and data teams to assess feasibility and prioritize development initiatives. 

• Support the transformation of custom solutions into scalable, reusable patterns for clients and markets.   

Who are you going to work with?

You will be working closely in projects with a lot of different people with different professions, both inside and outside of VML MAP. You will be part of a group of experienced Data Strategy and Data Solution Consultants and will work closely with colleagues from the other groups in our consulting practice. We strive to have an open collaboration model to optimally utilize our total skillsets.  

You will also work closely with our Tech and Data specialists, and Client Engagement leads to deliver client projects, and you will work directly with our clients, i.e., key stakeholders in the data, marketing and IT organizations of large global companies. You will also have the opportunity to engage with our data and technology partners, such as Salesforce, Adobe, Braze, Google, and Snowflake. 

Together, we help our clients put in place data solutions that drive business value in a collaborative work environment with a focus on both professional expertise and having fun on the way. 

What do you bring to the table?

You might have a data and technology background and grew into a consulting role, or maybe you come from a business background and built a strong understanding of data solutions. Nevertheless, it is important that you have strong core consulting skills as well data experience and expertise. 

Consulting skills 

• Strong communication and presentation skills, i.e., the ability to clearly communicate complex topics to stakeholders at all levels of the organization. 

• Structured problem-solving skills, i.e., the ability to identify and analyze complex problems and develop practical solutions.  

• Business acumen, i.e., an understanding of how businesses work and how they create value.  

• The ability to build trust and strong working relationships with clients, partners and colleagues. 

Data experience and expertise 

• You have a degree in data science, digital marketing, computer science or similar fields of study. 

• You are considered an expert in marketing data solutions with deep expertise in marketing measurement, customer data, and other data solutions. 

• You have experience with analyzing business needs, designing, scoping, and delivering data solution projects and services in large organizations. 

• Experience with collaborating with and communicating to technical and business audiences alike.  

Mindset 

As a person, you are collaborative and love being part of interdisciplinary projects and solutions.  You are comfortable with the complexity of high-tech dialogues and solutions.  Furthermore, you have the drive, enthusiasm and technical skills to take lead when facing the client in data and insights related matters. Through this, you strive to help and inspire the client to grow their business by combining data insights, performance analytics, and data engineering. It’s an advantage if you have agency experience and marketing domain knowledge, but it’s not a requirement.   

In addition, you have:   

•  3-5 years in a data consultant role with clients related to marketing data, predictive analytics, BI and reporting solutions. 

• An infectious curiosity around data applications for CRM and customer insight development, AI use cases and continuous innovation. 

• Comfortable with hands-on work in technology platforms such as Salesforce Marketing Cloud and Data Cloud, Adobe Experience Cloud, Braze, etc. 

• Hands-on experience working with cloud data platforms, ETL and reporting, data analysis through R, Python or other similar toolsets. 

• Experience with database and data model design for business intelligence and analytics solutions is an advantage. 

• Familiarity with multi-touch attribution approaches and techniques involving a range of paid and owned channels is an advantage.  

• Experience with Google Insights/Google Analytics, Google Cloud Platform/BigQuery, Adobe Analytics and Salesforce is an advantage. 

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

Miro is looking for a Machine Learning Research Engineer to serve as the technical "North Star" for our Machine Learning organization. You will operate as an Individual Contributor, driving the architectural decisions behind the "Intelligent Canvas."

Your challenge is unique in the industry: You are not just processing text. You are building models that understand spatial relationships, visual diagrams, and unstructured collaboration. You will research, prototype, and ship novel architectures that combine Large Language Models (LLMs), Computer Vision, and Graph Neural Networks (GNNs) to make Miro the smartest collaboration platform on earth.

What you’ll do

• Design, train, and ship production-grade ML models—including deep learning, NLP, and computer vision systems—that solve complex business problems and power core product features.
• Conduct deep exploratory research on massive datasets to uncover novel patterns in user behavior and content creation, translating raw data insights into new predictive modeling opportunities.
• Apply advanced fine-tuning strategies (e.g., PEFT, LoRA) to adapt state-of-the-art foundation models to specific domain tasks, rigorously experimenting to maximize performance.
• Architect scalable ML pipelines for data processing, feature engineering, training, and evaluation, ensuring high data quality and system reliability.
• Optimize model performance for latency, throughput, and resource utilization, balancing model complexity with production constraints (e.g., overfitting vs. underfitting, compute efficiency).
• Collaborate cross-functionally with data engineers, product managers, and software engineers to translate business requirements into technical ML specifications and integrate models into user-facing applications44.
• Champion MLOps excellence by automating deployment workflows, implementing CI/CD for ML, and establishing robust monitoring for model drift and health.
• Stay at the forefront of ML research, evaluating novel algorithms and techniques (e.g., Transformer architectures, quantization) to drive innovation and technical strategy.

What you’ll need

• Strong foundation in ML theory and statistics, including hypothesis testing, probability distributions, regression, classification, and optimization techniques.
• Solid engineering fundamentals. You are comfortable writing production-level Python and have a deep understanding of data structures, algorithms, and distributed system design.
• Deep proficiency in Python and the modern ML stack, with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, and deep learning frameworks (PyTorch, TensorFlow).
• Gradient Debugging: Expertise in PyTorch or JAX, including experience with distributed training (e.g., DDP, FSDP) and debugging complex gradient issues.
• Applied Research: Ability to read, implement, and improve upon the latest academic papers (NeurIPS, ICML, CVPR). You don't just use libraries; you understand the math underneath them and can reproduce results in peer-reviewed papers.
• Track record of end-to-end ML delivery, from exploratory data analysis (EDA) and feature engineering to training, validation, and deploying models in a production environment.
• Experience with large-scale systems, capable of designing resilient architectures that handle vast datasets and high-throughput inference requests.
• Strong engineering mindset, valuing code quality, testing, modularity, and maintainability just as highly as model accuracy.

Education + Experience

• Option A: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field plus ~3+ years of professional ML engineering experience.
• Option B: No formal degree, ~6+ years of industry experience demonstrating equivalent proficiency in building and shipping ML systems.

What's in it for you

LON:

• Competitive equity package
• Health insurance for you and your family
• Corporate pension plan
• Lunch, snacks and drinks provided in the office
• Wellbeing benefit and WFH equipment allowance
• Annual learning and development allowance to grow your skills and career
• Opportunity to work for a globally diverse team
  

Multi Location: Amsterdam / Berlin / Yerevan / London:

• Competitive equity package
• Lunch, snacks and drinks provided in the office
• Wellbeing benefit and WFH equipment allowance
• Annual learning and development allowance to grow your skills and career
• Opportunity to work for a globally diverse team

Recruiter: #LI-MH1

Ever wondered what last night’s dinner can tell you about customer behaviour?

At HelloFresh, we don’t just think about what’s on the menu , we think about what’s driving every click, conversion, and customer choice behind it.

Our Marketing-Analytics Slack channel is never quiet. It’s a constant stream of “Did you see this trend?” and “Check out this attribution anomaly.” We treat every data point like a conversation starter, often moving from a quick message to a 5-minute huddle by the coffee machine to pivot strategy in real time. We don’t wait for monthly reports; we move as fast as our customers eat.

To keep up with that pace, we need you. We are looking for a Marketing Analyst (all genders) to join our ambitious team in Islands Brygge. In this role, you won't just be a "support function" — you will take a leading role in bringing our analytical capabilities to the next level and acting as the strategic backbone for our marketing decisions.

You’ll act as a key point of contact for data and analytics questions, helping translate insights into clear direction and ensuring that data plays a central role in how we shape our marketing strategy.

What You’ll Do (The Recipe)

• Collaborate with marketing leads and the wider marketing organisation to understand strategic priorities and promote a culture rooted in data-driven decision-making.
• Act as a sparring partner for marketing stakeholders, delivering data-based evidence to ensure they understand the long-term implications of their business actions.
• Explore and analyse business metrics, customer behavior and marketing performance data to find improvement opportunities for the Growth team.
• Deliver and communicate clear, actionable insights across the marketing organisation to drive business growth by highlighting the “so-whats” of your analyses.
• Independently lead and structure projects, including gathering stakeholder input and defining clear requirements for ad hoc analyses or dashboard needs.
• Work hands-on with large data sets, using tools like Tableau, Google Sheets for visualisation, and Databricks for automation.
• Support the allocation of marketing investments to optimise return on investment and help improve our internal review processes.

What You’ll Bring (Your Ingredients)

• Minimum 3 years of hands-on experience working with data and business problems (e.g. analyst, consultant, or similar role)
• Self-driven and able to work independently while maintaining quality and timelines
• Strong communication skills, with the ability to translate technical challenges into business recommendations
• Experience in project management, including defining steps, setting timelines, and managing stakeholders
• Strong problem-solving skills, curiosity, and a continuous learning mindset
• Degree in Economics, Finance, Statistics, Mathematics, Business Analytics, or similar quantitative discipline
• Excellent SQL skills; Python is a plus

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.

What We Offer (The Toppings)

• HelloFresh Discounts – Enjoy 65% off your HelloFresh Meal Box and 40% off Factor_ subscriptions.
• Learning and Development – Make the most of a dedicated Learning & Development budget and the HelloMint mentorship program.
• Receive 25 days of paid vacation per year, + 5 days of feriefridage. Paid leave also provided for your child’s first sick day.
• Parent Benefits – Benefit from a Parental Leave policy supporting your family needs.
• Compensation and Perks – Includes a 5% company-paid pension and insurance package.
• Health – Access to Spill online therapy, available within 24 hours of request.
• Daily Comforts – Office perks include drinks and snacks, subsidized catered lunches, and breakfast every Friday.
• Fitness and Well-being – Discounts at SATS gym, plus access to sports and exercise clubs.
  
  

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.

About the Team

Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.

About the Role

As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.

What you’ll do

• Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL
• Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques—ensuring reliability, scalability, and maintainability
• Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers
• Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques
• Champion best practices in AI system development—including evaluations, LLMOps, CI/CD, observability, and ethical AI principles
• Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift
• Write clean, well-tested, maintainable code, participating in code reviews and® technical discussions across the stream
• Troubleshoot and resolve production issues, ensuring high availability and performance

What you’ll need

• 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products—driving value through features users directly interact with
• Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders
• Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)
• Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)
• Ability to develop high-quality, production-ready code within complex codebases
• Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.
• Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks
• Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)
• AI-First Proficiency. We’re building for an AI-first future, and we’re looking for graduates who aren’t just using AI—they’re mastering it. We’re excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it’s using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to "pilot" these tools to deliver high-quality code at an ambitious pace.
• Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia)
• Nice-to-have: Real-time technologies experience (WebSocket)
• Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks
• Nice-to-have: Multi-modal AI or long-context handling
• Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-JR1

Er du vild med økonomi, statistik og matematisk modellering? Kan du lide at arbejde i Excel og Python - eller andre statistiske programmeringssprog? Så er det måske dig, vi leder efter. Vi søger en studerende, der ved siden af sin videregående uddannelse ønsker at være en del af den statistiske og modelmæssige brain power bag rådgivningen til Nordens største virksomheder.

Hvem er vi?
Choreograph er en del af WPP Media, som er Nordens største bureaugruppe. Vi arbejder med rådgivning inden for marketing, media og salg. I data science-delen af Choreograph er udgangspunktet for vores rådgivning altid forskellige former for matematisk og statistisk analyse – herunder salgsmodeller, media buying-algoritmer, geografiske eksperimenter, dashboards m.m. Vi arbejder tæt sammen i et fagligt stærkt og anerkendt team, hvor nøgleordene er innovation, selvstændighed og faglig stolthed. Læs mere om os her: Choreograph

Jobbet
Vores kunder har store datasæt, komplekse problemstillinger og sammen skal vi omsætte de analytiske resultater til konkrete anbefalinger. En del af den tekniske udfordring er, at datamængderne konstant vokser og bliver stadig mere komplekse. Du skal være med til at løse denne udfordring. Sammen med en data scientist skal du på professionel vis håndtere kundens data, levere rådgivning og præsentere anbefalinger, som optimerer kundens investeringer baseret på et solidt analytisk grundlag. 

Din daglige rutine som studentermedhjælper vil hovedsageligt være at opdatere, automatisere og klargøre data til analyser, samt opsætte indledende resultater i PowerPoint og PowerBI, alt imens du opbygger solid viden om branchen og de anvendte metoder.

Faglige og personlige kvalifikationer
Du er blandt årgangens skarpeste inden for økonomi, matematisk optimering, databehandling, statistik og/eller økonometri. Efter et introduktionsforløb, hvor du bliver fortrolig med vores anvendte datakilder og systemer, vil du selvstændigt arbejde med databehandlingen og udarbejdelse af præsentationer – i takt med, at du stifter bekendtskab med branchen, vil du få muligheden for at bistå i rådgivningen til virksomhederne og derved udvikle dine færdigheder som konsulent.

Vi forestiller os, at du:

• Er i gang med en uddannelse, der giver et solidt fundament inden for økonomi og statistik
• Har arbejdet med Microsoft Office-pakken (særligt PowerPoint og Excel), har kendskab til programmeringssprog som Python, og enten har erfaring med - eller interesse for - at arbejde med cloud-løsninger som Google BigQuery og SQL-baserede databaser
• Er grundig, trives med at arbejde selvstændigt, og er god til at overholde deadlines
• Har en vis forståelse for statistisk programmering og evt. Dashboardløsninger
• Formår at se muligheder i et AI-univers i konstant forandring, og til at udnytte disse muligheder til at optimere databehandling, styrke modellering og effektivisere præsentationer

Vi tilbyder
Et fagligt udfordrende studiejob på ca. 15-20 timer om ugen i et engageret og dynamisk team med mere end 60 dygtige kollegaer fra hele Norden. Vi er en social gruppe, der holder af at tilbringe tid sammen uden for arbejdstiden blandt andet med padel, funktionel træning, karaoke, og lignende, ofte i fredagsbaren

Vi har højt til loftet og forventer at vores medarbejdere arbejder selvstændigt og er proaktive. Det er vores klare ambition, at du efter at have færdiggjort din uddannelse har mulighed for og lyst til at blive en del af vores organisation som fastansat.

Vores kontor ligger på Holmbladsgade 133, bag Kløvermarken på Amager, i gåafstand til Lergravsparken Metro. Vi har en fremragende kantine, hvor vi også tilbyder morgenmad, samt en masse sociale arrangementer i løbet af året, attraktive personalegoder og meget mere.

Ansøgning
Hvis ovenstående passer på dig, så send din ansøgning, CV og relevante dokumenter via linket på denne side. Har du spørgsmål til stillingen, er du velkommen til at kontakte vores Talent Lead Johan Hillers på johan.hillers@WPPMedia.com