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 122 million registered users and 249,000 active partners across 19 countries, have together already prevented 463+ million meals from going to waste - avoiding over 1.251.000 tonnes of CO2e!

We’re looking for an exceptional Cloud Systems Administrator to join the global IT superstar team at Too Good To Go in Copenhagen.

Your mission

Your mission is to ensure the stability, integrity, and efficient operation of the core IT systems that empower our global team to fight food waste. You will be a key player in managing and evolving our cloud-first infrastructure, with a strong focus on automating processes to enhance productivity. By managing our critical platforms, such as our identity management and productivity suites (including JumpCloud, Google Workspace, and Microsoft 365), you will directly contribute to the success of our mission by enabling our teams to work seamlessly and securely across the globe.

Your role

In this pivotal role, you will be instrumental in maintaining and enhancing our cloud-native IT environment, focusing on enhancing and automating our core systems to support our global team. This is a hands-on role where you will directly impact the efficiency and scalability of our IT landscape.

• Automation & Enhancement: Proactively identify and implement automation solutions to streamline IT and business workflows. You will help manage and enhance our core cloud infrastructure, ensuring it remains secure and performant.
• Cloud Platform Administration: Take the lead on administering our key platforms, including our identity management system (JumpCloud) and productivity suites (Google Workspace, Microsoft 365).
• Technical Escalation & Problem Solving: Serve as the go-to technical resource for our IT Support team on complex systems-level challenges. You’ll take ownership of escalated issues and focus on engineering lasting solutions, not just quick fixes.
• Project Collaboration: Collaborate with various departments on global IT projects, from planning and implementation to user training and support.
• Vendor & Documentation Management: Assist in managing relationships with technology vendors and develop clear, comprehensive documentation for our systems and processes.

Requirements

• Experience Level: Hands-on experience in a Systems Administration or Systems Engineer role with a demonstrable focus on cloud-based environments.
• Core Skills: Proven experience administering identity platforms (like JumpCloud, Okta) and cloud productivity suites (Google Workspace, Microsoft 365).
• Automation: A genuine passion for automation. Practical experience with scripting (e.g., PowerShell, Python, GAM) is a significant plus, but a strong desire to learn and apply these skills is key.
• Mindset: You are a proactive and detail-oriented problem-solver who is passionate about building efficient, scalable systems. You have a "we win together" attitude and thrive in a collaborative, fast-paced international environment.
• Communication: You have excellent communication skills in English and can clearly explain complex technical concepts to non-technical colleagues.

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.
• 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 19 countries that are on the same important mission.
• An informal environment, working alongside 190+ 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.

About the Team

About the Role

What you’ll do

• Design and implement scalable, fault-tolerant backend services for email and in-app notifications
• Build and evolve event-driven, asynchronous pipelines that process high volumes of product and user events
• Create high-quality technical designs and write clean, maintainable, self-documented production code
• Ensure correctness, idempotency, deduplication, and delivery guarantees across notification flows
• Optimize performance, latency, and scalability while maintaining reliability under peak load
• Take long-term ownership of features and subsystems, including production health and evolution
• Collaborate with Product and Platform teams to deliver relevant and timely user notifications

What you’ll need

• 6+ years of backend development experience (Java 17, Kotlin, Spring / Spring Boot)
• At least 4+ years of experience building and operating distributed systems in production environments
• Strong understanding of event-driven architectures, async processing, and message-based systems
• Solid knowledge of high-load SaaS architecture, scalability, and reliability patterns
• Some experience with streaming/messaging platforms, notifications or feed-like systems (email, in-app, push, or similar)
• Familiarity with cloud infrastructure, preferably AWS, and production observability practices

AI-First Proficiency

We embrace AI-first development. Our ideal candidate has moved way beyond basic Copilot usage, and integrated AI agents into their entire SDLC—from autonomous debugging and log analysis to rapid prototyping and shipping features to production. We expect you to be an expert "pilot" who can orchestrate AI tools to deliver high-quality code at a pace that traditional workflows can't match. Practically this means that you are running multi-agent flows using tools like Claude Code, Cursor or similar. If you’ve optimized your workflow to be 10x faster using the latest AI tools, we want to talk to you.

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-VS1

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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.

We are seeking a Lead Data Engineer to lead our Data Engineering practice. This is a role for a hands-on technical expert who can contribute to shape data solutions for world-renowned brands while leading a team of talented engineers. As aleader, you will set the vision and standards for how VML MAP delivers data infrastructure, integrations, governance & orchestration. You will influence outcomes through your expertise and strategic guidance.

What will your day look like?

This is a hands-on technical leadership role where you will both build solutions and shape the practice. This role will have direct people management. 

• Architecture: Collaborate with architects to define standards for data pipelines, transformations, and integrations across cloud platforms (GCP, Snowflake, Azure) and CRM platforms (Salesforce DataCloud, Adobe Experience Platform, etc.), spanning both traditional data engineering and marketing technology ecosystems. 

• Implementation: Ensure correct adoption of modern data stacks using dbt, orchestration tools (Airflow), infrastructure-as-code (Terraform), and ELT/ETL frameworks, with a focus on analytics-ready data models. Serve as the final technical escalation resource when projects face complex implementation challenges. 

• Client Advisory: Act as the trusted technical advisor for clients, providing strategic guidance on their data architecture and identifying opportunities where data infrastructure can drive business value. 

• Practice Innovation & Acceleration: Pioneer emerging capabilities—including agentic automation and AI-driven engineering—while building repeatable solution frameworks and service offerings that reduce time-to-value and enable consistency across client engagements. 

• Mentor & Coach: Develop engineers through hands-on mentorship, code reviews, and technical guidance, empowering them to solve complex challenges. 

• Practice Leadership: Work closely with the Global Data Practice Lead and domain practice peers to shape practice direction, standards, and growth. 

• Collaborate: Partner with Architects, Strategy Consultants, and client services teams to deliver integrated, winning solutions. 

Who are you going to work with?

You will join a team of hands-on Data Engineers who are passionate about building reliable, scalable data infrastructure. They're technically strong but need someone who can provide architectural direction and help them taking their Data Practice to the next level. Although not direct people management, you'll lead through coaching, and setting the technical vision. Beside your team, you will collaborate with a wide array of stakeholders  across our organization (strategy leads, account directors, etc.)

What do you bring to the table?

You are a natural technical leader who thrives on both hands-on coding and high-level architectural strategy. You excel at mentoring engineers and can clearly communicate complex technical trade-offs to clients and stakeholders. 

• Extensive years of hands-on data engineering experience building production data pipelines and data warehouses. 
• Management experience of data teams 

• Deep expertise in the modern data stack: dbt, Airflow, Terraform, and cloud data platforms (GCP BigQuery, Snowflake). 

• Strong architectural skills with a deep understanding of data modeling, quality, and governance. 

• Proficiency in SQL, Python, and modern engineering workflows (Git, CI/CD, testing). 

• Proven experience mentoring other engineers and building trust with both technical and non-technical colleagues. 

• Commercial awareness and client-facing skills, with an ability to connect technical solutions to strategic business value. Agency or consulting experience is a strong advantage. 

• Practice-building mindset: a track record or genuine interest in developing new service offerings, establishing standards, and contributing to organizational capability development. 

• Ownership and drive: comfort taking full accountability for your domain while navigating ambiguity and evolving organizational needs. 

• Intellectual curiosity and learning agility: enthusiasm for exploring emerging technologies, testing new approaches, and continuously expanding your technical repertoire. 

• Excellent communication skills in English. 

A plus if you have: 

• Experience with CRM data platforms (Salesforce Data Cloud, Adobe AEP). 

• Familiarity with data governance and privacy regulations (GDPR, CCPA). 

• Cloud or dbt certifications. 

• Experience building data pipelines for AI/LLM applications. 

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

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our Prague, Czech Republic office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our Berlin, Germany office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our London, UK office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

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

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.

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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

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.

The opportunity
Unity’s commerce systems power the business infrastructure behind our developer ecosystem — from licensing and subscriptions to in-editor purchases and platform integrations. At the heart of this architecture is commerce services: backend-for-frontend (BFF) services and integrations that encapsulates business logic and service orchestration for our commerce platform.

The Core Commerce Backend team plays a pivotal role in unifying frontend experiences with backend systems such as commercetools, user identity, entitlement services, and pricing logic.

We are looking for a Backend Engineer to lead architecture and implementation efforts across Bridge’s Typescript-based services. You’ll design reliable, scalable APIs and evolve our backend foundation to support a growing suite of commerce experiences.

What you'll be doing

• As a Senior Backend Engineer you will be expected to be able to:
• Take a partially defined specification, understand the underlying requirement and problem and turn it into either a detailed specification for a less senior engineer or deliver the solution yourself.
• Work closely with business, IT partners (business analysts and project managers) and the integration team to understand and solve business problems.
• Design, implement and deliver highly scalable solutions based on modern cloud-based architectures.
• Support, optimize and automate our internal processes.
• Take ownership of problems and find solutions.

What we're looking for

• We are seeking a Senior Backend Engineer who:
• 5+ years as a backend microservice engineer
• Demonstrated experience designing and developing scalable and reliable microservices.
• Proficient in TypeScript, particularly for service-layer development
• Experience in designing, implementing and executing unit tests
• Experience with some of the other technologies used by the team: SQL/NoSQL, queues, alerting
• Strong track record designing and implementing RESTful microservices
• Comfortable taking ownership of system design and architectural decisions

You might also have

• Familiarity with Google Cloud Platform (GCP) services (Cloud Run, Pub/Sub, etc.)
• Experience deploying and operating services in Kubernetes
• Hands-on Experience as administrator or integrator with any of Salesforce, Zuora, Commercetools or similar headless commerce platforms
• Experience with CI/CD pipelines like Github Actions
• Experience with automated testing
• Prior experience working with enterprise systems such as commerce, subscriptions, ERP, CRM or Supply Chain solutions.
• Exposure to modern API paradigms and design patterns

Additional information

• 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 #LI-SA1

The Role

We're looking for a Backend Engineer to join our team and contribute to our Open Intelligence initiative. This is a pivotal role for an engineer passionate about building robust, scalable, and automated data infrastructure. You will apply core software engineering principles to design, develop, and maintain the foundational systems that power our global media ecosystem.

You'll be instrumental in shaping our data platform, focusing on high-performance data ingestion, processing, and exposure through well-engineered services. This is a hands-on technical role for someone who thrives on solving complex problems, building reliable systems, and leveraging cutting-edge development and automation technologies. You will collaborate closely with team members, product stakeholders, and data scientists to ensure our platform is not only meeting current needs but is also future-proofed and highly performant.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

• Design, build, and maintain highly scalable and automated data ingestion services and pipelines, leveraging Python and robust web service integrations.
• Develop and integrate with external REST APIs using Python to acquire and process diverse data sources, ensuring reliability and performance.
• Design, implement, and maintain our cloud infrastructure as code using Terraform to ensure scalable, reproducible, and secure data environments.
• Develop and evolve internal web services and APIs to expose data platform capabilities to other engineering teams and applications.
• Contribute to identifying performance bottlenecks and optimizing data access, with opportunities to develop critical components in high-performance compiled languages.
• Champion and implement best practices for automation, CI/CD, testing, and observability within our data platform.
• Contribute to designing and building strong data governance and quality frameworks to ensure services are accurate and work consistently throughout their lifetime.
• Stay curious, explore new tools, techniques, and technologies that can help us build smarter, faster, and more performant systems.

What You’ll Bring

• 3+ years of experience in Backend Engineering/Software Engineering, with a strong focus on building scalable, data-intensive systems or platforms.
• Exceptional proficiency in Python for backend development, automation, and data processing.
• Proven experience designing, developing, and consuming web services and APIs.
• Hands-on expertise with Terraform for infrastructure provisioning and management on cloud platforms.
• Demonstrable experience with automation principles, CI/CD pipelines, robust testing methodologies, and version control (Git).
• Strong interest in high-performance compiled languages such as Scala, Rust, or Go, and an eagerness to apply these where performance is critical.
• Familiarity with adtech- and/or martech data and terminology is a plus.
• Strong communication skills — you can effectively explain complex technical concepts to various audiences.
• A proactive approach to solving problems and continuously improving systems.

What We Offer

You'll find:

• A supportive, inclusive culture built on trust, ambition and collaboration.
• Access to world class learning and development opportunities across the WPP network.
• Competitive salary, benefits and a focus on wellbeing.
• The chance to make a real impact shaping how data powers the next generation of media.

#LI-EMEA

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. 

About us

We believe data, creativity and technology work best when they work together. Our mission is to shape the next era of media — one that’s smarter, more connected, and powered by insight. We’re part of a global network that values openness, collaboration and bold ideas. Here, you’ll have the chance to make an impact and grow your career and skill set with some of the best minds in the industry.

The Role

We’re looking for a Team Leader for a team of Data Engineers to accelerate our Open Intelligence data initiative, taking our data capabilities to the next level. You’ll play a central role in designing, building and maintaining the data connectors that feed data to Open Intelligence. It is a role that requires good communication skills and understanding of brand, adtech and marketing data and the benefits of well-engineered data pipelines. You will create systems that keep our global media ecosystem running ensuring that data is reliable, scalable, and reflects the needs of the business.

This is a hands-on technical role for someone who’s already comfortable delivering reliable data solutions, but who is also interested in leveraging new development- and testing technologies. It is also a leading role, where you will be expected to mentor the more junior members of the team, and have an overview of the activities on the team. Finally, it is a role that requires an individual who can communicate effortlessly with both stakeholders in the Product organization, and engineers on other teams.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

• Build, manage and maintain data extraction pipelines with the help of AI coding assistants.
• Pre-aggregate data in clean rooms using SQL-dialects when client or partner concerns demands it.
• Fetch data through REST APIs using Python or Node.js when needed.
• Communicate with our Product organization about addition of new data sources or changes to existing ones, and manifest those conversations as maintainable code.
• Proactively identify and address technical debt and inefficiencies within our data platform.
• Guide our regional teams in following your best practices for adding their local datasets to Open Intelligence, and act as a global knowledge center for data onboarding.
• Collaborate closely with analysts and data scientists who leverage Open Intelligence, to make sure that data connectors work as expected.
• Design and build strong data governance and quality frameworks to make sure connectors produced are accurate and work consistently throughout their lifetime.
• Stay curious, explore new tools techniques and technologies that can help us move faster and smarter.

What You’ll Bring

• Excellent communication skills — you can translate technical concepts into language anyone can understand.
• 4+ years of experience in data engineering.
• Experience with adtech- and/or martech data and terminology.
• Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.
• Deep experience with data wrangling in a language such as SQL, Python or Scala.
• Interest in applying or learning the Scala language for data processing.
• Substantial experience with strongly typed computer languages and compilers. You understand why it is essential to find data processing errors as close to the point in time they are made as possible.
• Proficiency in one or more modern data ecosystems — e.g. Databricks, Snowflake, BigQuery, InfoSum or Redshift.
• Experience working with CI/CD, version control and testing best practices.
• Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker, Kubernetes or Terraform.
• A passion for data, technology and computer languages.
• A proactive approach to solving problems and improving systems.
• Team lead experience or project management experience is a plus. So is experience writing Scala code.

What We Offer

We believe great work starts with great people. At WPP Media, you’ll find:

• A supportive, inclusive culture built on trust, ambition and collaboration.
• Access to world class learning and development opportunities across the WPP network.
• Competitive salary, benefits and a focus on wellbeing.
• The chance to make a real impact shaping how data powers the next generation of media.

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

The Role

We’re looking for a Senior Graph Engineer to accelerate our Open Intelligence initiative, specifically in the realm of graph data and knowledge representation, taking our data capabilities to the next level. You’ll play a central role in designing, building, and maintaining the graph models and data pipelines that power Open Intelligence.

This role is for someone who can not only deliver robust technical solutions but also possesses a rare ability to understand our complex marketing, adtech, and brand domains, and then translate this understanding into effective graph structures that deliver real business value. You will create systems that keep our global media ecosystem running, ensuring that interconnected data is reliable, scalable, and truly reflects the needs of the business.

This is a hands-on technical role for someone who’s already comfortable delivering reliable data solutions, with a particular passion for graph databases and their practical applications. It is also a mentoring role, which for the right person can include leading the more junior members of the team, fostering a graph-thinking mindset. Finally, it requires an individual who can communicate effortlessly with both stakeholders in the Product organization, explaining complex graph concepts, and engineers on other teams that use or supply the data.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

• Design and implement sophisticated graph schemas and data models that accurately represent the intricate relationships within our marketing and adtech ecosystem.
• Design and maintain temporal and event-driven graph models that capture how relationships evolve over time.
• Build exploratory data ingestion pipelines in the tool of your choice, and help build, manage, and maintain production grade data ingestion pipelines in Scala/Spark.
• Contribute to scalable (and possibly real-time) graph ingestion patterns, including incremental updates and streaming data integration.
• Communicate with our Product organization about the addition of new kinds of data or new sources of data to the graphs. Help translating business needs into evolutions of our graph models and manifesting those conversations as maintainable code.
• Communicate bugs and inefficiencies related to graph data processing and storage to our technical platform team.
• Help guide our regional teams in following your best practices for adding their local datasets to Open Intelligence, particularly in terms of graph data onboarding and consistency, and act as a global knowledge center.
• Collaborate closely with analysts and data scientists who leverage Open Intelligence, ensuring that graph data and connectors work as expected and provide the relational insights they need.
• Design and build strong graph data governance and quality frameworks to make sure graph data is accurate and consistent across markets and time.
• Stay curious, explore new tools, techniques, and technologies in the graph database space that can help us move faster and smarter.

What You’ll Bring

• Exceptional communication skills — you can translate complex technical graph concepts and their business value into language anyone can understand.
• 6+ years of experience in data engineering with a strong focus on graph databases and graph-based solutions.
• Solid experience with graphs (not just theoretical), including advanced graph modeling, querying (e.g., Cypher, GQL, Gremlin), and analysis techniques. We currently use Graphwise GraphDB and Neo4J, and expertise in either would be a plus.
• Experience optimizing graph performance at scale (i.e., query tuning, indexing strategies), and working with large and highly interconnected datasets.
• Proven ability to think in terms of entire systems and their interdependencies, applying a holistic view to data architecture and understanding when and how graph databases should be used to create real value.
• A deep understanding of adtech- and/or martech data and terminology, with a demonstrated ability to effectively model this complex domain as a graph.
• Experience with entity resolution and identity graph design (e.g., deduplication, canonicalization), and ability to model real-world entities from different data sources.
• Deep experience with data wrangling and transformation in a language such as SQL, Python, or Scala, specifically for preparing data for graph ingestion or querying graph results.
• Familiarity with modern data ecosystems — e.g. Databricks, Snowflake, BigQuery, Redshift – and cloud-based platforms like GCP or AWS, and how graph databases integrate within them.
• Experience working with CI/CD, version control, and testing best practices, particularly for graph data pipelines and models.
• A passion for data, technology, and the power of connected information.
• A proactive approach to solving problems and improving systems.
• Familiarity with RDF, triplestores, or semantic web technologies is a plus.
• Team lead experience or project management experience is a plus.

What We Offer

We believe great work starts with great people. At WPP Media, you’ll find:

• A supportive, inclusive culture built on trust, ambition and collaboration.
• Access to world class learning and development opportunities across the WPP network.
• Competitive salary, benefits and a focus on wellbeing.
• The chance to make a real impact shaping how data powers the next generation of media.

About Us

We believe data, creativity and technology work best when they work together. Our mission is to shape the next era of media — one that’s smarter, more connected, and powered by insight. We’re part of a global network that values openness, collaboration and bold ideas. Here, you’ll have the chance to make an impact and grow your career and skill set with some of the best minds in the industry.

The Role

We’re looking for a Data Engineer to contribute to our Open Intelligence data initiative, helping to build and maintain our core data capabilities. You’ll play a key role in building and maintaining the data connectors that feed data to Open Intelligence. This role requires good communication skills and an understanding of brand, adtech, and marketing data, as well as the benefits of well-engineered data pipelines. You will contribute to creating systems that keep our global media ecosystem running, ensuring that data is reliable, scalable, and reflects the needs of the business.

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.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

• Build, manage and maintain data extraction pipelines with the help of AI coding assistants.
• Pre-aggregate data in clean rooms using SQL-dialects when client or partner concerns demand it.
• Fetch data through REST APIs using Python or Node.js when needed.
• Collaborate with our Product organization regarding the addition of new data sources or changes to existing ones, and translate those requirements into maintainable code.
• Contribute to identifying and addressing technical debt and inefficiencies within our data platform.
• Support our regional teams in following best practices for adding their local datasets to Open Intelligence.
• Collaborate closely with analysts and data scientists who leverage Open Intelligence, to make sure that data connectors work as expected.
• Contribute to designing and building strong data governance and quality frameworks to ensure connectors produced are accurate and work consistently throughout their lifetime.
• Stay curious, explore new tools, techniques, and technologies that can help us move faster and smarter.

What You’ll Bring

• Strong communication skills — you can effectively explain technical concepts to various audiences.
• 2-4 years of experience in data engineering.
• Familiarity with adtech- and/or martech data and terminology.
• Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.
• Solid experience with data wrangling in a language such as SQL, Python, or Scala.
• Interest in applying or learning the Scala language for data processing.
• Understanding of strongly typed computer languages and compilers, and an appreciation for finding data processing errors early.
• Proficiency in one or more modern data ecosystems — e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.
• Experience working with CI/CD, version control, and testing best practices.
• Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.
• A passion for data, technology, and computer languages.
• A proactive approach to solving problems and improving systems.

What We Offer

We believe great work starts with great people. At WPP Media, you’ll find:

• A supportive, inclusive culture built on trust, ambition and collaboration.
• Access to world class learning and development opportunities across the WPP network.
• Competitive salary, benefits and a focus on wellbeing.
• The chance to make a real impact shaping how data powers the next generation of media.

Data Engineer

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 looking for a Data Engineer who is passionate about solving complex data processing challenges in a high-scale environment. You prioritize strong software engineering fundamentals, algorithm design, and scalable data architecture over strict adherence to any specific framework.
You are comfortable designing, building, and maintaining systems that manage immense volumes of data. While your foundation in data processing is most important, you are likely highly proficient in languages like Python, Go, or Scala, and familiar with large-scale distributed processing engines (like Spark) and containerized deployment (like Kubernetes). You value modern operational practices—from infrastructure as code (Terraform) and robust CI/CD, to leveraging AI coding assistants to enhance your daily productivity.
Beyond your technical capabilities, you are a strong communicator who can distill complex technical concepts for various stakeholders. You take ownership of the reliability of your pipelines and are motivated by the challenge of operating and evolving a global scale infrastructure.

WHY ARE WE HIRING

We are at a critical inflection point in our growth and need to scale our engineering team to tackle an expanding set of complex challenges. As the digital ecosystem evolves, we are actively developing and releasing a new catalog of privacy-preserving data products. These solutions are designed to scale advanced targeting capabilities while remaining uncompromising on our promise to protect user privacy.

To support this product evolution, our infrastructure is undergoing massive global expansion. By the end of this year, we will be fully operational across the rest of the EMEA and APAC regions. Concurrently, we are deepening our integrations to support even more of the largest supply-side partners in the AdTech industry. We are hiring because we need strong engineering talent to help us architect for this next order of magnitude in scale—ensuring our systems remain resilient, performant, and compliant as our global footprint and feature set rapidly expand.

WHAT YOU WILL DO:

• Discuss & propose technical solutions, develop & review code following best practices and patterns.
• Collaborate with both our Product organization and analysts and data scientists in Open Intelligence to add new features or changes to existing ones and translate those requirements into reliable, production-level components.
• Contribute to designing and building strong data governance and quality frameworks to ensure data production is accurate and work consistently throughout its lifetime.
• Contribute to identifying and addressing technical debt and inefficiencies within our data platform.
• Stay curious and proactive, explore new tools, techniques, and technologies that can help us move faster and smarter.
• Be happy to share knowledge in dedicated sessions and stand-ups.

WHAT YOU WILL NEED

• Strong communication skills, you can effectively explain technical concepts to various audiences.
• 2+ years of experience in data engineering.
• Solid experience with data wrangling in a language such as Python, Go, or Scala.
• Proficiency in large scale processing engines and related ecosystems (Spark)
• Experience working with CI/CD, version control, and testing best practices.
• Experience with cloud-based platforms like GCP, AWS, or Azure.
• Experience working with infrastructure as code tools like Terraform.
• Experience with containerization management tools like Kubernetes.
• A passion for data, technology, and computer languages.
• Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.

NICE TO HAVE

• Familiarity with AdTech- and/or MarTech data and terminology.
• Experience with monorepo codebase.
• Experience with data privacy engineering technologies and best practices in handling sensitive data.

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.

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

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