Are you excited about building the systems that keep Wolt running for millions of customers every day?

We’re looking for a pragmatic, product-minded Backend Engineer with strong skills in Python or Go to join our Consumer Platform team – the group behind the core infrastructure and reliability that make Wolt fast, stable, and scalable.

This is a role at the intersection of backend engineering, platform thinking, and reliability. You’ll work on the systems that power critical purchase flows and the foundations that other teams build on, shaping how Wolt performs at scale.

What you’ll be doing

Day-to-day in this role, you’ll:

• Build and operate high-throughput backend services in Python and Go
• Work across the full development lifecycle, from system design to deployment and monitoring
• Improve the scalability and reliability of Wolt’s core platform
• Design and develop shared services, internal tooling, and platform-level capabilities used across teams
• Drive cross-team initiatives that raise engineering standards and system resilience
• Collaborate with product teams and other engineering groups to support critical consumer-facing flows

Why this role

• Work on the backbone of Wolt: Consumer Platform sits at the core of Wolt’s engineering organization. The systems you build power everything from purchase flows to platform-wide reliability, with direct impact on millions of users.
• An AI-first engineering team: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
• High-impact, cross-team work: This team is known for driving initiatives that span across Wolt. Recent work includes scaling the purchase core to support split payments, building API gateway capabilities for critical flows, and improving reliability standards across the platform.
• A small team with high leverage: You’ll work in a focused, experienced team where engineers take ownership, move quickly, and influence both technical direction and platform strategy.

AI-First Engineering in Consumer Platform

We’re building platform teams at the forefront of agentic software development. This goes beyond code generation. We’re interested in engineers who:

• Design workflows where AI agents assist or own parts of the development loop
• Think critically about what should be automated versus human-reviewed
• Build tooling and abstractions that make AI-assisted backend development safer and more effective
• Stay curious about new models, tools, and approaches, and form strong opinions on what actually works

If you find yourself asking “how should this system be built with AI in mind?” you’ll fit right in!

Our Tech Stack

Python, Go, MongoDB, Redis, Kubernetes, AWS, Datadog, CI/CD pipelines

What we’re looking for

• Strong backend fundamentals: Experience building production-grade backend services using Python, Go, or similar languages.
• AI-first development mindset: You use AI tools in your daily workflow and think critically about how they improve how you build, debug, and design systems.
• Experience at scale: You’ve worked on high-traffic production systems and understand the challenges of reliability, performance, and scalability.
• System design thinking: You have solid fundamentals in designing distributed systems and care about efficiency, robustness, and maintainability.
• End-to-end ownership mindset: You take responsibility beyond implementation, from shaping solutions to ensuring systems are stable, observable, and production-ready.
• Ability to work independently and drive projects: You’re comfortable owning work end-to-end, navigating ambiguity, and moving initiatives forward with minimal guidance.
• Collaboration and communication: You work effectively across teams and communicate clearly in multi-team engineering environments.
• Reliability and operational awareness: Experience with observability, on-call practices, or reliability engineering is a plus.
• Platform and tooling exposure: Experience contributing to shared systems, internal tooling, or platform engineering initiatives is a plus.

About You 

• You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends.
• What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work.
• You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through.

Where you'll work

These roles are based in our tech hubs in Helsinki, Berlin OR Stockholm.

Next steps

We’re reviewing applications on a rolling basis, and the role will be filled as soon as we find the right person, so don’t wait!

The hiring process typically includes a conversation with the Talent Acquisition Partner, followed by technical interviews, a team chat, and a final decision.

REQ# FEQ327R2

About the Consumer Pricing and Discounts Domain

The Consumer Pricing and Discounts Data Science team is committed to consumer-first pricing and discounts that are fair, transparent, and compliant. We create innovative pricing & discounts solutions that offer clear value for our consumers with a focus on affordability. We collaborate cross-functionally to achieve both short-term and long-term business goals, balancing topline impact with bottom-line profitability tradeoff. Our team of Data Scientists partners closely with the Strategy & Operations business team as well as Product & Engineering, conducting experiments, advanced analytical data exploration, algorithmic modelling and operational reporting to enhance our consumer pricing & incentives strategies.

What you’ll be doing

As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. This role is a great fit for a versatile generalist who can bridge pricing and growth initiatives, connecting the dots across functions to drive business impact. It suits someone who thrives in a cross-functional environment, brings strong business judgment, and can balance priorities within a dynamic team. The position plays a key role in shaping strategy while keeping execution aligned with broader objectives.

The scope spans the full lifecycle - from research and discovery to modelling and experimentation. Responsibilities include defining success through clear measurement frameworks, identifying business opportunities, and tracking performance via reporting. It’s an opportunity to turn insights into action and influence outcomes.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar
• Strong business acumen and ability to connect analytical work (models, research, frameworks) to real business impact

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You can choose the location from our tech hubs in Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Finland or Sweden. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

The Courier Analytics Team at Wolt focuses on solving complex delivery-related logistical and operational challenges, and our objective is to improve Wolt’s logistics efficiency while delivering an exceptional delivery experience for all parties in our 3-sided marketplace.

Data Scientists at Wolt work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organisation. On the Courier team, we are particularly focused on optimising routing and task assignment efficiency,  predicting delivery times with higher accuracy, and aiming for a flawless delivery experience for both our couriers and customers to boost retention. 

We achieve this by ensuring Courier Group’s product development is rooted in experimentation with the primary goal of delivering impactful results rather than sole features.  By analytical deep-dives, impact estimation, and delving deep into observational data to expose hidden trends and untapped opportunities, our Data Scientists serve as objective advisors, helping to decipher the 'why' behind the data, thereby enabling smarter decisions that align with our overall business strategy. 

What you’ll be doing

• Take Ownership: Drive the Logistics analytics topics within Courier Analytics, becoming the go-to expert in this critical area.
• Drive Experiment-Guided Product Development: Serve as the catalyst for analytical deep-dives and controlled experiments that illuminate Wolt's complex marketplace dynamics and causal chains.
• Champion Statistical Rigour and a Data-Driven Mindset: Serve as an internal advocate for the crucial role of statistical rigour in data analysis. Your advocacy will foster a culture where data isn't just used, but used wisely, reinforcing the integrity of our decision-making processes.
• Collaborate Across Teams: Work closely with cross-functional teams, including Product, Design, Engineering, and Operations, to integrate data-driven decision-making into their workflows.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R, and AI IDE tools
• Hands-on experience in designing and analysing A/B testing, coupled with knowledge of quasi-experimental methodologies
• A strong grasp of core concepts and models for causal inference, enabling you to expose complex cause-and-effect relationships within data
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

We are looking for a Staff Data Scientist to join Wolt’s mission in Finland, Sweden, or Germany!

About the role

The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants.

To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally.

What you'll be doing

As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You’ll achieve this by:

• Developing and deploying production-level ML models
• Crafting metrics to unlock deeper insights into merchant selection quality for all markets
• Conducting experiments to understand the impact of selection on specific markets
• Work on self-serve tooling to track these insights.

This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards.

Our humble expectations

• 3-5 years of experience in data science, consulting, or a related quantitative role
• Fluent in Python & SQL
• Strong exploratory data analysis skills, willingness to look under the hood
• Exposure to experimental design (A/B testing) and key statistical methods
• Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
• Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte)
• Determination to initiate and lead/own strategic projects to completion with a cross-functional team
• Innate curiosity to understand how things work and a first-principles approach to problem solving

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics. 
• You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working — a hybrid, at the office, or remote, within the location above. 💙 
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! 

For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)

About Consumer Analytics at Wolt 

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

About the Consumer Data Science Team

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

What you’ll be doing

As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes. 

If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you.

Our humble expectations

• 3+ years of experience in an analytics or data science position
• Experience working with product funnels and user journeys
• Proficiency in SQL and Python
• Hands-on experience in designing and analysing A/B testing
• Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

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.

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Meet our software engineers!

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
• Experience with Linux and/or ARM systems

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1,000 USD) annually 
• Stock options

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 511.200 - 1.098.200 SEK yearly. 

Meet our software engineers!

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
• Experience with Linux and/or ARM systems

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1,000 USD) annually 
• Stock options

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is:  94,400-156,429 EUR yearly. 

REQ #: FEQ427R53

The Role

To push further our vision of Enterprise AI, we are looking for a senior leader to grow and lead our team of Enterprise Architects. 

This high-impact leadership role demands a unique blend of deep technical expertise, people management experience, and executive presence. You will act as an executive sponsor, confidently presenting to customer C-level executives and helping your team translate strategic goals into actionable technical plans.

Your primary goal is to lead and empower a team that supports our growing sales organization in achieving revenue goals. You will ensure your team successfully unlocks technical blockers by fostering close partnerships with leadership across Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.

Measures of Success

Your success will be measured by your team's impact, including new customer acquisition rates, retention, up-selling, and your overarching contribution to the overall sales team and business success.

The work you’ll do:

• Team Leadership: Hire, mentor, and manage a team of Enterprise Architects who define the overall architecture, data, and cloud strategy for our largest client accounts.
• Executive Engagement: Act as an executive sponsor in pre-Sales and post-Sales phases, presenting strategic visions to C-level executives and engaging with customer Architecture and security teams.
• Drive Strategic Innovation: Guide your team to design architectures that drive enterprise modernization, leverage capability mapping, and explore innovative solutions using emergent technologies like Agentic AI.
• Cross-Functional Alignment: Serve as the leadership bridge between our product & engineering teams within Celonis and client teams to ensure the delivery of premier technical services.
• Ecosystem & Readiness: Oversee the assessment of the IT landscape maturity of our customer installed base and ensure your team effectively coaches Celonis account teams and ecosystem partners on architecture, integration, performance, and scalability.
• Thought Leadership: Direct the development of re-usable assets for projects, as well as customer-facing position papers and thought leadership presentations on architecture and innovation with Celonis.

The qualifications you need:

• Experience: 20+ years of relevant experience, including a proven track record of managing Enterprise Architects or technical teams at a top consulting firm or software vendor.
• Strategic Vision: Proven ability to think strategically, guiding your team to connect technical solutions to business value and customer objectives.
• Communication: Excellent written and verbal communication skills, with a proven track record of navigating complex negotiations and presenting to C-level executives.
• Enterprise Architecture Expertise: Demonstrated experience and deep understanding of Capability Mapping, Enterprise Modernization, and Agentic AI.
• Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments.
• Ecosystem Knowledge: Strong understanding of cloud-native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM, ServiceNow), cybersecurity posture fundamentals, API ecosystems, and legacy on-premise enterprise architectures.
• Education: MSc degree in Computer Science or an equivalent in an Information Technology-related field.
• Languages: Fluency in English is required; an additional language such as Spanish, French, German, or Italian is a strong advantage.

Preferred:

• Celonis Certifications and extensive leadership experience managing projects with OCPM and Case Centric Data Pipelines.
• Industry standard certifications such as AWS/Azure/GCP, ESB / ETL (Mulesoft, Oracle, SAP, Talend, Informatica), or TOGAF/Zachmann.
• Experience spanning at least two domains (e.g., Finance, Manufacturing, Supply Chain, HR) and at least two industries (e.g., Consumer Goods, Banking, Pharma, Aerospace).

The role

Mentimeter is looking for a Product / AI Engineer to join our Recommendation Engine team and play a key role in shaping how AI creates value across our product.

We have multiple AI-powered features live in production, including a multi-agent system serving real users at scale. The work spans LLM orchestration, structured output generation, chained analysis pipelines, prompt engineering, and evaluation. Going forward, the technical challenges deepen: richer context management across sessions, more sophisticated agent architectures, personalization and relevance at scale, and the extension of AI capabilities across the broader Mentimeter product.

Over 300 million people have used Mentimeter to run interactive sessions - gathering input, running polls, and collecting feedback. We're building the AI-powered system that helps users get more value from those interactions: understanding what they learned, deciding what to do next, and acting on it.

You'll have a genuine chance to influence Mentimeter's medium- and long-term AI strategy.

The team

The Recommendation Engine team builds AI-powered recommendations that help Mentimeter users turn what they learn into what they do next - not just once, but across sessions and over time. The system gets smarter as it accumulates context: user goals, past interactions, and what's worked before. The ambition is to support users through ongoing processes, not just individual moments.

Together with our sister team, Results, we form the Insights area, where AI is a core part of how we build product experiences. We're a full product team: a product manager, a product designer, an engineering manager, and engineers. We work closely and partner up with other product teams across Mentimeter, but we also own end-to-end user experiences in our own right.

The work shifts between modes - running experiments to learn what creates value, and building the features, systems, and experiences that deliver it. If you enjoy shaping product direction as much as writing code, and can move between exploration and execution, you'll fit in here.

What you'll do

• Design, build, and improve LLM-powered features that create real value for users
• Work on multi-agent architectures, orchestration, and context management in the service of real user goals
• Build evaluation and quality systems for AI features
• Make model selection, cost, and latency trade-offs for production AI systems
• Leverage user interaction data to inform and improve AI-powered features - from exploratory analysis to production pipelines
• Explore emerging AI capabilities and assess where they add real value versus where simpler solutions win
• Act as a central figure of applied AI expertise within the team and the broader engineering organization
• Stay current with a fast-moving field and bring what you learn back to the team

Who you are

You have genuine enthusiasm for building AI-driven products and have shipped LLM-powered work into live environments, where user behavior, cost, latency, and failure modes were part of the job. Your background might be in software engineering, data science, ML engineering, or something else entirely – what matters is that you combine solid judgment on LLMs and data with a product-centric approach and ship product experiences that users value.

You’re comfortable navigating uncertainty in a rapidly developing space, and you have a track record of tackling complex technical challenges. We’re especially interested in LLM work that reached production or sustained real use – commercial products, internal platforms with serious adoption, or open-source with a clear quality bar – and we’re open to other paths if you can show depth (what you owned, how you measured quality, what failed in the wild).

You think about what to build as well as how to build it. You communicate clearly, simplify complex technical concepts, and share ownership of outcomes with the rest of the team. You're comfortable working across team boundaries - liaising with other product teams, thinking about broader architectural needs, and representing AI expertise in cross-team discussions.

We don’t optimize for a specific number of years on a CV – careers aren’t linear. What we do need is seniority in the type and depth of experience. With that said, this is not an entry-level role – we’re hiring someone who can contribute at a senior level from early on.

It's a big plus if you have

• Experience with LLMs in production at scale - real traffic, real cost constraints, real failure modes, not just prototypes or side projects
• Experience building AI features where evaluation was a genuine challenge - designing evals for non-deterministic outputs, understanding where your system fails, measuring quality over time
• Experience working on a user-facing SaaS product - you understand subscription dynamics, product-led growth, and what it means to ship to paying customers
• An NLP or text analysis or applied data science background - the team works heavily with text: session responses, generated insights, structured recommendations
• Experience working across multiple languages or parts of the stack - the work here spans Python, Ruby, and TypeScript, and we value people who are comfortable learning what they don't already know

Not required

Swedish is not required - daily work is carried out in English, and the Mentimeter team currently boasts over 50 nationalities. A college degree is not strictly required.

Practical information

This is a hybrid/on-site role at Mentimeter HQ in Stockholm, where we expect you to be in the office at least 3 days/week.
Please note that we do not offer relocation sponsorship for the position.

Recruitment process

1. Introduction call
2. Culture interview, onsite if possible
3. Technical competence interview - a technical system design case with other engineers, onsite

Role Summary and Impact

We are now looking for a Senior Data Scientist who is eager to take a key role in shaping and driving our success going forward. In this role you will take a leading part in growing our clients and improving our models and output.

The person we are looking for is a leader that is equally in love with solving hard marketing problems using data, consulting the largest and most demanding brands and companies in Sweden, and mentoring a growing a team of analytical super stars.

Choreograph is WPP’s data and technology company. We connect the world’s data to help leading advertisers create greater business impact and deliver more growth. In Sweden, Choreograph operates as part of WPP Media, bringing together four departments: Analytics, Insights, Data Strategy, and Data & Tech Consulting. The role we are recruiting for is based in Analytics.

As a member of our team, you’ll join a group of experienced data scientists and marketing consultants who thrive on innovation, collaboration, and driving results.

Skills and Experience  
We’re looking for a Senior Data Scientist to join our growing team in Stockholm. In this role, you will work with:

• As your main task you will help our clients understand and measure the true impact of their marketing investment using measurement tools, including Marketing Mix Modelling. Your role will involve packaging and presenting these findings in a compelling way to engage and inform C-level client stakeholders at some of the biggest companies in the Nordics.
• You will also work hands-on, guide and steer colleagues to transform technical outputs - such as outputs from Python models - into clear, actionable insights. You will work on projects involving attribution modeling, experiments, and algorithm development, while also contributing to the development of automated reporting tools and other innovative data science initiatives.

Qualifications we are looking for:

• Bachelor's/Master’s degree in Engineering, Statistics, Mathematics, Economics, Business administration or a related field.
• Strong business acumen and experience within the marketing and media sector.
• Excellent storytelling and communication skills, with the ability to clearly explain complex technical issues and solutions to non-technical audiences.
• In-depth expertise in statistics, econometrics, and advanced modeling, with applied experience in areas such as Marketing Mix Modeling (MMM), attribution, and experimental design.
• Proficiency in Python (our primary programming language).
• Experience working with Cloud platforms, SQL, GIT, PowerBI, or similar relevant technologies.
• Fluency in both Swedish and English.
• Strong proficiency in Excel and PowerPoint.

Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. 

In Sweden, our benefits include a SEK 3,000 wellness allowance, a 37,5-hour workweek, half-days and “klämdagar" off, 30 days of vacation, and two paid volunteer days per year. WPP Media Sweden is a member of Almega, and all employees are covered by a collective bargaining agreement (kollektivavtal), which ensures occupational pension, insurance, and other negotiated terms. We host regular team activities, knowledge-sharing sessions, and wellness initiatives throughout the year. 

 WPP Media 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.  
   
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.  
 
Application
This is a full-time permanent position with a start date as soon as possible. We apply a six-month probationary period.  Please note that this role requires that you have the legal right to work in Sweden.
In addition to reviewing your CV and conducting interviews, our recruitment process includes a testing phase. Selection and interviews are ongoing, so please submit your application with your CV and cover letter as soon as possible. 

We believe that diverse perspectives make us stronger and encourage applications from people of all genders, backgrounds, and experiences. 

Contact
If you have questions about the position, feel free to contact Viktor Åhlén at viktor.ahlen@wppmedia.com. Due to GDPR, we do not accept applications via email.   

#LI-Promoted 

Modern data platforms are built on events - well-defined, trustworthy signals that describe how users interact with products and systems over time. As a Data Engineer you will help build and improve the data platform that powers analytics, growth, personalization and decision-making across the company.

This role is part of the Data Platform team, where we design and maintain the core data infrastructure that serves Product, Marketing, Growth, and Analytics. You will focus on the systems and infrastructure that supports transforming batch and streaming data into high-quality datasets that downstream systems - from warehouses to activation tools - can rely on.

We are currently in the early stages of building out a new event-driven architecture, and this role will be part of shaping it. That means owning parts of the streaming infrastructure, contributing to foundational decisions about how events are structured and evolved, and having real influence over how data flows across the company for years to come.

This is a hybrid/onsite role located in Stockholm, our guideline is to spend 3 days a week at our office.

What you’ll do

• Design and operate data infrastructure (streaming and batch) and the systems that move data reliably at scale.
• Contribute to how events are defined, structured, and evolved across the platform.
• Ensure data quality, consistency, and observability across event pipelines.
• Ensure GDPR and PII compliance across data flows at scale.
• Contribute to data and architecture best practices that may span across the whole organisation.

Who you are

• A few years of experience as a Data Engineer or data-heavy backend engineer.
• Solid programming and data skills (e.g. SQL, Python, and/or JVM-based languages).
• Experience building and maintaining data pipelines in a modern cloud data stack.
• Experience managing infrastructure as code (e.g. Terraform or similar).
• A good understanding of data quality, observability, and reliability.
• Clear written communication skills in English and comfort working cross-functionally.
• Experience with streaming systems or near real-time data infrastructure (e.g. Kafka, Flink, or similar).

📍 Location: 

This is a hybrid/on-site role at Mentimeter HQ in Stockholm, where we expect you to be in the office at least 3 days/week.
Please note that we do not offer relocation sponsorship for the position.  

Not Required:

You don’t have to know Swedish (daily work is carried out in English and the Mentimeter team currently boasts over 50 nationalities!)

Role Summary and Impact 

As a BI Developer at WPP Media, you will build and maintain Power BI solutions that help our specialists and clients follow up on media performance. The role is centered around developing user-friendly dashboards, establishing robust data streams, and creating well-structured data models that enable reliable reporting at scale. You’ll translate business needs into technical BI solutions and work closely with engineers, Data Scientists, client teams, and customers - often integrating outputs from different measurement and analytics projects (e.g., MMM, attribution, and other studies) into clear, actionable reporting.

Skills and Experience

Requirements

• Bachelor’s degree (or equivalent experience) in Engineering, Computer Science, or a related field
• Experience building and maintaining Power BI solutions, both independently and together with others
• Good knowledge of SQL
• Experience working in a cloud environment, preferably Google Cloud/BigQuery
• Understanding of how data flows and data models are set up to support stable reporting
• Swedish: good understanding in speech and writing
• English: fluent in speech and writing

Meriting

• Experience with data modeling and data integration
• Knowledge of DAXs and/or Python
• Experience from media/marketing environments (e.g., agency, publisher, platform)
• Knowledge of digital marketing and media measurement
• Experience working with or visualising outputs from measurement projects (e.g., MMM, attribution)

Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising.

In Sweden, our benefits include a SEK 3,000 wellness allowance, a 37,5-hour workweek, half-days and “klämdagar" off, 30 days of vacation, and two paid volunteer days per year. WPP Media Sweden is a member of Almega, and all employees are covered by a collective bargaining agreement (kollektivavtal), which ensures occupational pension, insurance, and other negotiated terms. We host regular team activities, knowledge-sharing sessions, and wellness initiatives throughout the year.

WPP Media 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. 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.

Application
This is a full-time permanent position with a start date as soon as possible. We apply a six-month probationary period. In addition to reviewing your CV and conducting interviews, our recruitment process includes a testing phase. Selection and interviews are ongoing, so please submit your application with your CV and cover letter as soon as possible.

We believe that diverse perspectives make us stronger and encourage applications from people of all genders, backgrounds, and experiences.

Contact
If you have questions about the position, feel free to contact Viktor Åhlén, Head of Operations & Engineering viktor.ahlen@choreograph.com. Due to GDPR, we do not accept applications via email.

#LI-Promoted

Modern data platforms are built on events. Not just logs or tracking points, but well-defined, trustworthy signals that describe how users interact with products and systems over time. As a Data Engineer with an Event background, you will help build and evolve the event-driven foundations that power analytics, growth, personalization, and decision-making across the company.

This role is part of the Data Platform team, where we design and maintain the core data infrastructure that serves Product, Marketing, Growth, and Analytics. You will focus on capturing canonical domain events and transform them to high-quality datasets that downstream systems — from warehouses to activation tools — can rely on with confidence.

The Data Engineering Team

The Data Engineering team builds and owns the data platform that enables the organization to understand its users and its business. We work closely with Product Engineering, Growth, Marketing, and Analytics to ensure that data is reliable, observable, compliant, and fit for purpose.

Within the team, this role brings deep expertise in event-based data modeling and martech-adjacent systems, strengthening Mentimeter’s ability to reason about user behavior, lifecycle metrics, and cause-and-effect across touchpoints. Your work will directly influence how events are defined, ingested, validated, and activated throughout the data ecosystem.

What you’ll do

• Model event data in the warehouse to support analytics, growth metrics, and lifecycle analysis.
• Ensure data quality, consistency, and observability across event pipelines.
• Collaborate with marketing and growth teams to enable reliable activation and personalization through tools such as Braze.
• Ensure GDPR and PII understanding and compliance across data flows, including consent handling and secure storage.
• Contribute to architectural decisions and best practices within the Data Engineering team.
• Act as the technical owner for Braze, including:
  • Defining and maintaining the event and user attribute contracts that power messaging, journeys, and personalization.
  • Ensuring data correctness, timeliness, and consistency between the warehouse and Braze.
  • Partnering with Marketing and Growth to enable safe, scalable activation patterns.

We believe you have

• Several years of experience as a Data Engineer, Analytics Engineer, or data-heavy backend engineer.
• Strong experience working with event-driven data models and behavioral data.
• Hands-on experience with event ingestion platforms (Segment or similar).
• Solid programming and data skills (e.g. SQL, Python, and/or JVM-based languages).
• Experience building and maintaining data pipelines in a modern cloud data stack.
• A strong understanding of data quality, observability, and reliability.
• The ability to understand and explain cause and effect in marketing and product data.
• Clear written communication skills in English and comfort working cross-functionally.

It’s a big plus if you have

• Experience working closely with martech platforms such as Braze.
• Previous experience as a Growth Engineer or in growth-focused product teams.
• Experience with streaming or near real-time data systems.
• Familiarity with user lifecycle frameworks and activation metrics.
• Experience working with GDPR-sensitive datasets at scale.

Not required

You don’t have to know Swedish (daily work is carried out in English and the Mentimeter team currently boasts over 50 nationalities!)

📍 Location: This is a hybrid/on-site role at Mentimeter HQ in Stockholm, where we expect you to be in the office at least 3 days/week.

Please note that we do not offer relocation sponsorship for the position.  

About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com. 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact 
We are seeking an experienced SEO professional with a passion for technology, AI, and the evolving landscape of search. This role demands an individual who thrives on transforming complex data into actionable strategies and content engineering solutions that drive measurable results across relevant platforms, not just traditional SEO. 

• Strategic cross-platform SEO: Develop, implement, and continuously optimise comprehensive SEO strategies across relevant platforms, extending beyond traditional SEO. 
• Performance optimisation: Monitor, track, and evaluate client/project performance against KPIs, ensuring data-driven success through effective content engineering solutions.
• Driving innovation: Actively contribute to and implement strategies related to Generative Search Optimisation (GSO), Social Search, and Commerce Search. Redefine how brands connect with their audiences through structured and optimised content, directly contributing to our groundbreaking Total Search Framework. Guiding clients through digital transformation investments in their data, technology, and content ecosystems to shape the future of brand discovery.
• Client Partnership: Display excellent client leadership, taking responsibility for the operational success and growth of accounts, and exploring strategically relevant opportunities.
• Team Collaboration & Mentorship: Mentor junior staff, provide constant feedback, and delegate tasks to support team growth and excellence. Simultaneously, stay current with industry trends, best practices, and emerging content technologies (e.g., headless CMS, structured data, AI-driven content generation), proactively discussing their potential impact with clients and the team. 

Skills and Experience 

• 4+ years of progressive experience, with a proven track record in technical content implementation, strategic leadership, and client account growth.
• Strong data segmentation and analysis skills, with the ability to translate insights into actionable content and search strategies.
• A genuine interest in the future of search and content engineering, including GSO, social search, and commerce search, and how content systems enable these.
• Excellent technical SEO skills and understanding search engine algorithms and bot behaviour.
• Experience with key SEO tools such as Lumar, Screaming Frog, STAT (or other ranking tools), Google Search Console, and Google Analytics.
• Actively contributes to a positive team environment through knowledge sharing and a collaborative spirit 

Bonus Points: 

• Demonstrable experience in HTML/JS/CSS.
• Python skills.
• Experience working within an e-commerce environment (e.g. feed management, reviews).
• Proficiency in any additional language (than Swedish/English) is highly valued. 

Life at WPP Media & Benefits 
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. 

In Sweden, our benefits include a SEK 3,000 wellness allowance, a 37,5-hour workweek, half-days and “klämdagar" off, 30 days of vacation, and two paid volunteer days per year. WPP Media Sweden is a member of Almega, and all employees are covered by a collective bargaining agreement (kollektivavtal), which ensures occupational pension, insurance, and other negotiated terms. We host regular team activities, knowledge-sharing sessions, and wellness initiatives throughout the year. 

 WPP Media 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.  
   
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.  
 
Application
This is a full-time parental leave cover for approximately 12 months, starting as soon as possible.Selection and interviews are ongoing, so please submit your application with your CV and cover letter as soon as possible. 

We believe that diverse perspectives make us stronger and encourage applications from people of all genders, backgrounds, and experiences.  

Contact 
If you have questions about the position, feel free to contact marie.nybole@wppmedia.com or viktor.nilsson@wppmedia.com. Due to GDPR, we do not accept applications via email.   

#LI-Promoted 

Are you passionate about leveraging data science to drive business impact and take analytics to the next level? Join Mentimeter as our Senior Data Scientist, where you will set new standards for data science craft within the Data & Analytics (DNA) department and play a pivotal role in advancing our analytics capabilities to drive impactful, data-informed strategies for our SaaS-based business. Data is not only central, but crucial, to how Mentimeter will reach success.

At Mentimeter, the DNA department is on a mission to catalyse our company strategy and drive innovation, growth and impact throughout our company and user journey by using data. We work at the intersection of analytics, data science, and business to deliver actionable insights and solutions that enable better decisions across departments, including Product, Marketing, Sales, and Revenue Operations. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion.

In this role, you’ll collaborate with and be supported by cross-functional teams of data scientists, data engineers, user researchers, product managers and company leaders who are passionate about Mentimeter’s mission and using data to achieve it.

What you’ll do

• Design and deploy machine learning models, such as predictive scoring, clustering, and forecasting, with a strong focus on technical aspects of production deployment.
• Build and ship internal data products that activate models and insights in the right systems and tools to drive impact.
• Be a key part of our Analytics team to align priorities, partner with stakeholders and ensure solutions are relevant and impactful.
• Collaborate closely with our Data Platform Team, Analytics Engineering, and other sister teams to enable the business to proactively act on data and create business impact.
• Elevate the data science craft within the Data & Analytics department by setting new standards, implementing innovative approaches and best practices.
• Provide mentorship and technical guidance to team members, fostering a culture of continuous learning and growth.
• Translate complex data analyses into compelling narratives and visualizations that resonate with diverse audiences.

We believe you have

• A minimum of 8 years of relevant work experience.
• Proven expertise in data science methodologies, with strong proficiency in machine learning techniques and programming languages (e.g. Python and SQL).
• Strong business acumen with a deep understanding of sales, marketing, and product analytics.
• Expertise in ML modeling with a focus on production deployment and ML engineering best practices (e.g. versioning, monitoring, testing).
• A builder mindset and interest to build internal products and systems that scale, leveraging automation, generative AI, and data to drive Mentimeter’s growth and efficiency.
• Solid software engineering practices, including git, code reviews, and writing performant, maintainable code.
• Experience collaborating with data engineers on data pipelines, model deployment, and monitoring.
• Demonstrated ability to deliver high-quality analyses and actionable insights aligned with business objectives.
• Exceptional communication skills, with the ability to convey complex concepts through clear narratives and visualizations.
• A track record of mentoring team members and fostering a culture of best practices and continuous improvement.

Nice to have

• Familiarity with modern data tools (e.g. Looker, Hex, Snowflake) and cloud platforms (e.g. AWS, Google Cloud).
• Experience working within a SaaS environment, with a strong understanding of the unique business challenges and opportunities it presents.

Not required

• Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities)

About Tzeract

Tzeract is changing the way we bet on sports. As Kambi’s in-house startup, we've built a completely new platform from the ground up - with our own AI at the core, not just as an add-on. Today we already handle over 500 millions bets in distributed systems with a low latency, and your work will be scaled globally from day one.

We iterate quickly, decide fast, and your calendar stays free for the work that matters. This gives you time for coffee breaks, test ideas and solve problems together. In this role, you’ll help shape both the product and parts of the architecture. It’s the combination of startup freedom with an enterprise touch - and your contributions will be visible and felt by millions of users worldwide.

Role Overview

 We’re looking for a Fullstack Developer with a strong front-end focus to help us continue to build and innovate our market-leading sports trading tool.

This role sits at the intersection of product, trading expertise, and platform engineering. You’ll work closely with our Product Owner, sports trading experts, and platform team to design and deliver intuitive, high-performance user interfaces for complex, real-time trading workflows.

Your primary focus will be front-end development using React, supported by Node.js and Python services. You’ll also collaborate closely with teams building backend services written in Python and Rust, all deployed on AWS with a strong preference for serverless architectures.

If you enjoy turning complex, data-heavy systems into elegant user experiences — and thrive in a collaborative, fast-moving startup environment — this role is for you.

 What you’ll do

• Design, develop, and maintain modern front-end applications using React and MUI X, with a strong focus on usability, performance, and reliability.
• Build and maintain front-end–facing services using Node.js and Python.
• Collaborate closely with Product Owners and sports trading experts to translate complex domain requirements into intuitive user experiences.
• Work alongside backend engineers developing services in Python and Rust to integrate real-time data and trading logic.
• Contribute to cloud-native solutions on AWS, with a preference for serverless designs.
• Participate in architectural discussions across the full stack and help shape front-end standards and best practices.
• Improve developer experience through testing, CI/CD, and shared tooling.
• Continuously evolve the sports trading platform as product and business needs grow.

What we believe you have

• Strong experience building front-end applications with React (experience with MUI / MUI X or similar libraries is a big plus).
• Solid understanding of fullstack development, including APIs and service integration.
• Experience with Node.js and Python in a production environment.
• Exposure to or interest in backend systems written in Python and/or Rust.
• Experience working with AWS and cloud-native architectures (serverless experience is a plus).
• Familiarity with modern software engineering practices such as automated testing, CI/CD, and version control.
• A collaborative mindset and comfort working closely with product managers and domain experts.
• Enjoyment of a fast-paced startup environment where priorities evolve.

#wearekambi