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.

We’re looking for experienced Software Engineers to join various teams within the Merchant Group at Wolt! If you have a strong track record of building and maintaining scalable, production-grade systems and want to drive impact at scale, this is the place for you.

Who We Are

The Merchant Group consists of 150+ engineers across 25+ cross-functional teams, working together to help merchants grow their businesses and streamline operations through innovative technology. Some of us focus on building seamless experiences for our merchants, while others work on the behind-the-scenes magic that makes everything run smoothly.

What You’ll Do

As an engineer in our group, you’ll work on production-level microservices in Kotlin and Go, helping shape how merchants succeed with Wolt. You’ll have opportunities to:

• Design, build, and scale reliable systems that power merchant experiences.
• Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming.
• Collaborate on architecture and technology choices that keep our systems simple, scalable, and efficient.
• Grow your skills and knowledge by working alongside experienced teammates in an environment that values learning and experimentation.

How We Work

• Autonomy & Ownership – Our engineers have end-to-end responsibility for their services, from implementation to production.
• Collaboration – Architecture and working methods are defined together, ensuring we make the best choices for long-term success.
• Scalability & Simplicity – We value pragmatic solutions that keep our systems robust without unnecessary complexity. We use technologies that serve Wolt, our teams, and our engineers best. You’ll have the freedom to experiment and adopt the tools that work.

Find out more by checking out our Kotlin-related Tech Talks below:

• Scaling Kotlin Backend Development Podcast 

• Kotlin at Wolt

• Kotlin Meetup

Our Tech Stack

Our core technologies include Kotlin (Ktor, Koin, Spring, gRPC), PostgreSQL, MongoDB, Kafka, Redis, GitHub Actions, AWS, Docker, and Kubernetes.

Why Join Us?

Wolt is a place where you can learn, teach, and grow. If you’re passionate about building great technology and working in an environment that values teamwork and autonomy, we’d love to hear from you!

📍These open roles are based in our tech hubs in Berlin, Helsinki or Stockholm. We work in distributed teams, but might not be able to offer fully remote work or relocation. 

Our humble expectations

We’re seeking experienced Software Engineers with a strong background in building scalable microservices. While Kotlin is our primary language, experience with Java, Scala, or other JVM backend languages is great. As we are exploring Go, we're looking for people who are confident in their ability to learn and teach! 🛠️

Beyond technical expertise, we value ownership, collaboration, and a mindset for growth. We think you're a great communicator who thrives in tackling complex challenges, questioning conventions, and working closely with teammates to build reliable, scalable systems. 🚀

Next steps

We are hiring for multiple open positions across different teams in the Merchant Group. During the initial screening call our Talent Acquisition Partner will discuss with you your expectations and possible domain preferences as well as share more about the group. After the recruiter screening call, during the rest of the interviewing steps, you’ll meet hiring managers and software engineers from the Merchant group, a specific team being proposed at the end of the process - that’s the moment when you’ll get to meet your possible Team Lead. Throughout the process, we will do our best to match your experience, skills, and aspirations with the most suitable Engineering team!

We’re looking for an experienced Software Engineer join our Go initative within the Merchant Group at Wolt! If you have a strong track record of building and maintaining scalable, production-grade systems you like to drive impact at scale and mentor juniors and peers - this is the place for you!

Who We Are

The Merchant Group consists of 150+ engineers across 25+ cross-functional teams, working together to help merchants grow their businesses and streamline operations through innovative technology. Some of us focus on building seamless experiences for our merchants, while others work on the behind-the-scenes magic that makes everything run smoothly.

What You’ll Do

As a senior engineer in our group, you’ll work your magic in Go or Kotlin (and some Kotlin) helping shape how merchants succeed with Wolt. You’ll have opportunities to:

• Design, build, and scale reliable systems that power merchant experiences.
• Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming.
• Collaborate on architecture and technology choices that keep our systems simple, scalable, and efficient.
• Grow your skills and knowledge by working alongside experienced teammates in an environment that values learning and experimentation.

How We Work

• Autonomy & Ownership – Our engineers have end-to-end responsibility for their services, from implementation to production.
• Collaboration – Architecture and working methods are defined together, ensuring we make the best choices for long-term success.
• Scalability & Simplicity – We value pragmatic solutions that keep our systems robust without unnecessary complexity. We use technologies that serve Wolt, our teams, and our engineers best. You’ll have the freedom to experiment and adopt the tools that work.

Our Tech Stack

Our core technologies include Go, as well as Kotlin (Ktor, Koin, Spring, gRPC), PostgreSQL, MongoDB, Kafka, Redis, GitHub Actions, AWS, Docker, and Kubernetes.

Why Join Us?

Wolt is a place where you can learn, teach, and grow. If you’re passionate about building great technology and working in an environment that values teamwork and autonomy, we’d love to hear from you!
📍This open role are based in our tech hubs in Berlin, Helsinki or Stockholm. We work in distributed teams, but might not be able to offer fully remote work or relocation.

Our humble expectations

We’re seeking an experienced Software Engineer, so we expect that you:

• Not only understand customer problems but can break them down into actionable steps for both yourself and the team. You balance short-term needs with long-term goals, creating high-quality, scalable solutions.
• Lead by example, setting high standards for work quality and managing projects effectively, even in uncertain situations. You take full ownership of your team’s work, making improvements that benefit both customers and colleagues. You regularly spot gaps and provide valuable recommendations to cross-functional partners.
• Are used to being a role model and informal leader, collaborating with partner teams and mentoring both juniors and peers.
• Are an excellent communicator, being succint and to the point. 

Next steps

We are continuously reviewing applications, so don’t hesitate to apply today - you will hear back from us as soon as possible.
You can read more about our recruitment process here.

Who are we?

CLEVR delivers digital transformation at scale by implementing Siemens and Mendix solutions to serve industries like manufacturing, retail, energy, and more. We leverage PLM, MOM/MES, and low-code technologies for manufacturing optimization and business process automation while ensuring seamless integration with other core systems like SAP, IBM, and Salesforce. CLEVR brings together technology and industry expertise to provide strategic solutions that streamline operations, drive efficiency, and enable digitalization to fit market demands.

About the Job:

Are you an experienced PLM Engineer with a passion for Teamcenter implementations? We are looking for a Senior PLM Engineer to join our team in Sweden. In this role, you will design, configure, and implement PLM solutions that align with customer requirements and industry best practices. You’ll work closely with clients and internal teams to ensure successful deployments that transform product lifecycle processes.

You will support the design and development of solutions tailored to meet our customers' needs, ensuring a seamless fit between business processes and IT. Let's Build Tomorrow Together!

What makes this role unique:

Join us at CLEVR in Sweden as our Senior PLM Engineer. You will be part of an agile team recognized for its innovation and expertise—we have been awarded “Smart Expert Partners” by Siemens. You will have the opportunity to collaborate, create solutions, and innovate across various projects. Additionally, we believe in continuous learning: through workshops, training, and internal communities, you'll have the opportunity to expand your skills and grow professionally.

Your role will include:

• Understanding customer challenges, needs, and requirements and translating them into solutions that drive tangible results.
• Responsible for the technical implementation and configuration of Siemens Teamcenter solutions for clients and to meet unique customer specifications.
• Document configurations, customizations, and processes for knowledge sharing and compliance.
• Keeping up-to-date with the latest developments in PLM to provide innovative solutions.
• Collaborating closely with cross-functional teams to deliver high-quality, integrated solutions for our clients.
• Troubleshoot and resolve technical issues during implementation and post-go-live support.
• Collaborate with business analysts and stakeholders to translate business requirements into technical solutions.

What you bring to the table:

• Solid experience with Teamcenter or other PLM, systems and proven experience working on client projects with tailored PLM-systems.
• Proven ability to design, configure, and deploy engineering solutions across multi-client environments.
• Experience working directly with customers - with good understanding of system setup, data migration and integrations. 
• Experience with PLM system architecture, data models, workflows, and integrations, with hands-on experience in Teamcenter (or other PLM platforms).
• Background in the engineering industry is an advantage.
• Fluent in Swedish & English (Both written & verbal) 

This employment requires security clearance by the Norwegian National Security Authority.  For more information, visit www.nsm.no.

What we offer you:

At CLEVR, you will join a highly competent and supportive environment where you are trusted with responsibility and encouraged to grow. 
We offer exciting challenges, modern ways of working, and the opportunity to shape both solutions and your own career.

• Competitive salary with a bonus plan
• 30 vacation days
• Exciting projects and clients where you will get plenty of responsibility                                                                                
• Receive a laptop and a mobile phone. 
• Learning and development: value creation days, books, and we back your growth with access to Udemy. 
• Access to OpenUp to support your wellbeing at work.   
• Annual CLEVRistic party. 
• Social events: CLEVR Social Club. 
• Pension scheme.  

CLEVR champions a diverse and inclusive workplace. We welcome applicants of all genders, gender identities, sexual orientations, ethnicities, races, religions, national origins, disabilities, and ages. Join us in building tomorrow together with your unique talents and perspectives.

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

As a Territory Systems Engineer, you will be the trusted technical partner to the Territory Account Executive and our valued Channel Partners. Your role is critical in translating Everpure’s vision and innovative solutions into tangible, value-driven technical proposals for a broad and dynamic set of customers. You will play a pivotal part in accelerating growth by ensuring our partners and customers have the technical resources, validation, and support needed to successfully adopt Everpure solutions.

At Everpure, you'll join a culture built on curiosity, innovation, and integrity. We celebrate diverse perspectives, challenge convention, and empower our people to think big, take bold action, and make a measurable impact. This is your opportunity to grow your technical and sales career with one of the most innovative technology companies in the world and do work that truly changes how businesses use data to compete and win.

The Role

The Territory Systems Engineer (TSE) is a key growth role, focusing on providing essential pre-sales technical support across accounts within a given territory. This position requires a blend of technical acumen, partnership enablement, and a proactive approach to supporting high-volume, transactional sales motions. You will act as the primary technical coach for our partners, empowering them to drive new business and expansion opportunities independently. This TSE role is a strategic position where you will immediately leverage your existing technical expertise and channel knowledge to drive high-volume, transactional sales motions. This role offers accelerated career growth into an Enterprise Systems Engineer (SE) position, taking ownership of our most complex and strategic customer engagements.

You won't be in this alone. You'll be joining a highly collaborative Nordics SE team known for sharing knowledge and celebrating successes together. Your contributions will be immediately recognized and valued.

What You'll Do

• Serve as the Technical Brand Ambassador: Act as the primary technical contact alongside the TAE in customer engagements, guiding discussions and showcasing the power and simplicity of Everpure's solutions.
• Empower Partner Technical Teams: Guide and activate elite and preferred Partner Systems Engineers (SEs), providing coaching and resources to help them effectively sell, compete, and scale their business with Everpure.
• Facilitate Technical Validation: Review and validate sizing, quotes, and technical architectures for various solutions, ensuring accuracy and alignment with customer needs and product capabilities.
• Drive Tool & Resource Adoption: Increase awareness and usage of Everpure's sales and technical tools across the partner ecosystem, ensuring they are leveraged effectively at the appropriate stages of the sales cycle.
• Coordinate Technical Enablement: Organize and coordinate technical resources (e.g., specialists, training teams) for partner bootcamps, technical events, and workshops to continuously upskill our channel.
• Resource Management & Escalation: Function as a technical "go-to" advisor for partners, efficiently linking them to virtual resources or properly escalating complex technical inquiries to dedicated Systems Engineers (SEs), the help desk, or Product Technical Marketing (PTM).
• Support Collaborative Growth: Build and maintain strong, productive relationships with both the TAE and Channel Partners to ensure seamless technical support, shared goal achievement, and ultimately, closed deals.

What You'll Bring

• Proven Technical Experience: Minimum of 3–4 years of professional experience in a customer-facing or pre-sales technical role (e.g., SE, Technical Consultant) within the B2B IT infrastructure market. Direct experience working in the channel for a storage vendor or partner is highly advantageous.
• Deep Domain Expertise: Demonstrated hands-on experience (3–4 years) with data storage, virtualization, or cloud infrastructure solutions. A comprehensive understanding of key competitor solutions and channel sales processes is highly valued.
• Collaborative Mindset: Demonstrated success working closely with a sales counterpart (like a TAE) and channel partners to achieve shared business and technical objectives.
• Autonomy and Deal Ownership: A high degree of self-motivation and initiative with a proven ability to independently manage technical sales cycles, apply complex technical concepts effectively, and drive outcomes in a fast-paced environment.
• Strong Communication & Coaching Skills: Excellent verbal and written communication skills with the ability to clearly articulate technical value to diverse audiences, from partner SEs to business decision-makers. Fluency in both Swedish and English is required.
• Organizational Resilience: Excellent organizational and time management skills necessary to juggle multiple partner engagements, technical validations, and training support activities in a dynamic territory.

THE ROLE

Everpure is seeking a Cloud and Data Services Account Executive to accelerate growth of the Portworx and Everpure Cloud across our EMEA (North) accounts. You will own a number of named customers and prospects, build and execute multi year account plans, and drive platform adoption with a focus on business outcomes such as resilience, risk reduction, faster application delivery, and operational efficiency.

You will work closely with cross functional teams across Everpure and the Cloud and Data Services team, including Systems Engineering, Customer Experience, Marketing, Partner teams, Product, and field leadership. This is a high impact individual contributor role with a strong emphasis on strategic planning, disciplined execution, and customer intimacy.

WHAT YOU'LL DO

• Own and grow a portfolio of enterprise and commercial accounts, delivering against annual and multi year revenue targets.
• Build and execute account plans that map buying centres, application priorities, Kubernetes roadmaps, and transformation programmes.
• Develop executive relationships across CIO, CTO, CISO, Head of Infrastructure, Platform Engineering, SRE, and Application leaders.
• Lead complex sales cycles from discovery through close, including security, risk, procurement, architecture review, and legal processes.
• Position Portworx around measurable outcomes: application resilience, ransomware recovery, data protection, regulatory compliance, cloud portability, and modernisation at scale.
• Orchestrate account teams and partner ecosystems, including GSIs, cloud providers, and regional partners, to drive pipeline creation and deal execution.
• Run a rigorous, value based sales process tailored to cloud native software, with accurate forecasting and strong hygiene in Salesforce and forecasting tools.
• Partner with Customer Experience to expand adoption post sale, identify expansion triggers, and build customer advocacy within the Manufacturing and Automotive community.
• Stay ahead of competitive dynamics in Kubernetes data services, backup and recovery, and container storage, using insights to sharpen strategy and messaging.
• Represent Portworx in customer meetings and relevant industry events, with a field first mindset.

WHAT YOU BRING

• Proven enterprise software sales experience, with a track record of closing and expanding high value, multi stakeholder deals in large organisations.
• Demonstrable experience selling into commercial & enterprise accounts, with an understanding of procurement, governance, risk, and security requirements.
• Strong grasp of cloud native concepts and the Kubernetes ecosystem, plus the ability to credibly engage architects and platform teams.
• Experience selling to both technical and executive stakeholders, translating technical capabilities into business value and risk outcomes.
• Disciplined pipeline generation, qualification, deal management, and forecasting, with strong operational habits in SFDC.
• Comfort working in a matrixed environment, influencing cross functional teams without direct authority.
• Strong communication and programme management skills, with clear account planning and stakeholder alignment.
• A customer first mindset and a bias for action, with resilience and curiosity.
• Business proficiency in both local language (Dutch, Swedish or Danish) and English.

About Team & About Role:

Ready for an opportunity to make a substantial impact with a disruptive tech company while building your pre-sales career?  Rubrik, Inc. has an amazing product, a supercharged team and the financial backing of Lightspeed Ventures, Greylock Partners and Khosla Ventures.  Bottom line, if you have limitless drive and like to win, we want to talk to you!

Rubrik is looking for Sales Engineers to provide technical direction and business guidance to the regional sales team. As a Sales Engineer, you will be accountable for regional revenue goals by driving innovative technical programs and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting Rubrik’s Data Resilience, Observability, and Remediation tools to a targeted list of new & existing customers throughout the UKI region. 

What You'll Do:

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.
• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
• Leads technical sales calls
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.

Preferred Qualifications:

• 5-10 years of sales engineering experience preferably in a software or data center environment.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded

The Position

The Solution Engineer will be the primary technical sales resource for our Sweden regional sales team and will assist in identifying customer challenges and driving technical alignment between customer needs and the OPSWAT solutions. You will serve as a product and industry expert, effectively describing and demonstrating our solution as well as promoting our vision and approach. You will be a trusted point of contact for our customers while advancing the sales process.

At the same time, you will be a liaison to the engineering team to drive the direction of the product. The ideal candidate will have previous work experience as a member of a corporate sales team and a career track record of supporting large and complex enterprise sales.

What You Will Be Doing:

• Work with the OPSWAT sales team as well as partners to drive Enterprise business 
• Manage customer requirements, expectations, and solution buy-in
• Build customer’s confidence and awareness in our products/solutions
• Manage, deliver, and present detailed responses to industry RFPs
• Train and certify resellers and partners
• Present at Conferences and Seminars
• Support proof of concepts, implementations and installs as needed to successfully satisfy customer requirements

What We Need from You:

• 5+ years of cybersecurity or networking software sales engineering or technical sales experience 
• Excellent track record in developing new business and meeting/exceeding sales targets 
• Comfortable leading discussions within the cybersecurity domain to all customer levels (CISO to IT administrator)
• Strong presentation and application demo skills 
• Experience installing and troubleshooting enterprise applications in Windows and Linux environments
• A self-motivator who thrives on identifying and resolving customer pain points.

It Would Be Nice If You Had:

• Experience in enterprise software or networking solutions, ideally within the network or device security space
• Knowledge of Sandbox and anti-malware products and markets
• A technical understanding of APIs
• Experience working with CRM software

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

The Team:

The Celonis Value Engineering (VE) team is focused on managing the entire customer value lifecycle, from sales through value realization, renewal and expansion. As a Value Engineer Manager, you will lead a dynamic team who come from a variety of backgrounds to identify, frame and deliver value to our customers.

The Role:

As a Pre-sales and Solution Engineering (Value Engineering) Manager, you will lead a team of Value Engineers and drive end-to-end customer value journeys, landing and expanding existing customers (ACV growth) and renewals (renewal rate). You will work closely with the Celonis GTM Leadership Teams and be responsible for the end-to-end value journey for all customers within your region/vertical, supporting customers to achieve their strategic goals and realize significant value using Celonis Process Intelligence Platform. You are a trusted advisor to the Celonis Executive Team, supporting their engagements with strategic customers and senior stakeholders. 

As a leader in one of the fastest-growing tech companies globally, you will bring together deep process and industry knowledge with a proven consulting skill set and strong analytical abilities. You will foster a positive and supportive work environment for your teams, promoting employee satisfaction and career growth.

The work you’ll do:

Identify & Frame Value For Prospects/Customers

• Own the end-to-end customer value journey, including responsibility for landing, expanding, adoption and renewing accounts
• Translate customers’ strategic objectives into high-impact Celonis use cases and evangelize Process Intelligence across prospects and customers
• Communicate the value opportunity and strategic roadmap to C-Level executives in partnership with sales leadership and Celonis executives
• Serve as an executive sponsor across the customer portfolio and solidify Celonis as a strategic business transformation platform for our customers

Create & Scale Value Across The Portfolio

• Lead customers through the Celonis Value Journey, support the deployment of new features, apps, and products across the customer base, and advance strategic growth programs in pursuit of value creation
• Ensure customer success and architect improvement measures and manage change within the customer base, while pioneering new methodologies within Celonis’ Value Engineering organisation
• Direct Celonis Value Engineering, Services and Ecosystem resources through the Celonis Customer Value Journey, creating durable value for our customers 
• Take ownership and build strategic customer relationships as an executive sponsor
• Host QBRs (Quarterly Business Reviews) and EBRs (Executive Business Reviews) to communicate results and realized value to senior management and C-level executives

Grow & Lead Celonis Talent

• Recruit the next-generation of Celonis Value Engineers, while setting a high-standard for candidate excellence
• Develop world-class talent through hands-on engagement, continuous feedback, and active mentorship 
• Lead by example and consistently demonstrate the Celonis Leadership Principles (lead with purpose, facilitate greatness, embrace difference, and cultivate balance)
• Effectively allocate Celonis resources to deliver on company sales, renewals, value,  and adoption targets 
• Communicate success and risks proactively within the organization 

The qualifications you need:

• Domain Expertise: Demonstrate your business domain expertise, such as in Finance or Supply Chain as well as experience in strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation) and ability to build a compelling value roadmap for the customer
• Industry Expertise: Demonstrate a deep understanding of industry trends and strategic challenges of the C-Suite and build an integrated Celonis Process Intelligence roadmap
• Product Expertise: Experience with guiding customer’s IT teams throughout their Celonis Process Intelligence journey, demonstrating hands-on the power of Process Intelligence and proven ability to accelerate value realization by building dashboards, Apps, Action Flows
• Project Management: Plan and manage project scope, expectations and timelines. Leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating results to stakeholders and management, both internally and externally.
• Value Selling Methodology: Demonstrate experience of following the Celonis value selling methodology alongside the customer journey: including discovery, qualification, value assessment and PoV’s, and demonstrate the full value potential of Celonis Process Intelligence
• Value Realization: Proven track record of identifying and prioritizing use cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis
• Sales & Commercial Acumen: Demonstrate ability to qualify all VE engagements, do discovery with customers directly, steer/allocate resources efficiently, and champion our value selling methodology with our customers.

Leadership Skills: Proven ability to lead by example, including being on the front line with your teams, hands-on in all aspects and a role model for the organization. 

The Team:

The Celonis Value Engineering (VE) team is focused on managing the entire customer value lifecycle, from sales through value realization, renewal and expansion. As a Value Engineer Manager, you will lead a dynamic team who come from a variety of backgrounds to identify, frame and deliver value to our customers.

The Role:

As a Pre-sales and Solution Engineering (Value Engineering) Manager, you will lead a team of Value Engineers and drive end-to-end customer value journeys, landing and expanding existing customers (ACV growth) and renewals (renewal rate). You will work closely with the Celonis GTM Leadership Teams and be responsible for the end-to-end value journey for all customers within your region/vertical, supporting customers to achieve their strategic goals and realize significant value using Celonis Process Intelligence Platform. You are a trusted advisor to the Celonis Executive Team, supporting their engagements with strategic customers and senior stakeholders. 

As a leader in one of the fastest-growing tech companies globally, you will bring together deep process and industry knowledge with a proven consulting skill set and strong analytical abilities. You will foster a positive and supportive work environment for your teams, promoting employee satisfaction and career growth.

The work you’ll do:

Identify & Frame Value For Prospects/Customers

• Own the end-to-end customer value journey, including responsibility for landing, expanding, adoption and renewing accounts
• Translate customers’ strategic objectives into high-impact Celonis use cases and evangelize Process Intelligence across prospects and customers
• Communicate the value opportunity and strategic roadmap to C-Level executives in partnership with sales leadership and Celonis executives
• Serve as an executive sponsor across the customer portfolio and solidify Celonis as a strategic business transformation platform for our customers

Create & Scale Value Across The Portfolio

• Lead customers through the Celonis Value Journey, support the deployment of new features, apps, and products across the customer base, and advance strategic growth programs in pursuit of value creation
• Ensure customer success and architect improvement measures and manage change within the customer base, while pioneering new methodologies within Celonis’ Value Engineering organisation
• Direct Celonis Value Engineering, Services and Ecosystem resources through the Celonis Customer Value Journey, creating durable value for our customers 
• Take ownership and build strategic customer relationships as an executive sponsor
• Host QBRs (Quarterly Business Reviews) and EBRs (Executive Business Reviews) to communicate results and realized value to senior management and C-level executives

Grow & Lead Celonis Talent

• Recruit the next-generation of Celonis Value Engineers, while setting a high-standard for candidate excellence
• Develop world-class talent through hands-on engagement, continuous feedback, and active mentorship 
• Lead by example and consistently demonstrate the Celonis Leadership Principles (lead with purpose, facilitate greatness, embrace difference, and cultivate balance)
• Effectively allocate Celonis resources to deliver on company sales, renewals, value,  and adoption targets 
• Communicate success and risks proactively within the organization 

The qualifications you need:

• Domain Expertise: Demonstrate your business domain expertise, such as in Finance or Supply Chain as well as experience in strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation) and ability to build a compelling value roadmap for the customer
• Industry Expertise: Demonstrate a deep understanding of industry trends and strategic challenges of the C-Suite and build an integrated Celonis Process Intelligence roadmap
• Product Expertise: Experience with guiding customer’s IT teams throughout their Celonis Process Intelligence journey, demonstrating hands-on the power of Process Intelligence and proven ability to accelerate value realization by building dashboards, Apps, Action Flows
• Project Management: Plan and manage project scope, expectations and timelines. Leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating results to stakeholders and management, both internally and externally.
• Value Selling Methodology: Demonstrate experience of following the Celonis value selling methodology alongside the customer journey: including discovery, qualification, value assessment and PoV’s, and demonstrate the full value potential of Celonis Process Intelligence
• Value Realization: Proven track record of identifying and prioritizing use cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis
• Sales & Commercial Acumen: Demonstrate ability to qualify all VE engagements, do discovery with customers directly, steer/allocate resources efficiently, and champion our value selling methodology with our customers.

Leadership Skills: Proven ability to lead by example, including being on the front line with your teams, hands-on in all aspects and a role model for the organization. 

The Team:

The Celonis Value Engineering (VE) team is focused on managing the entire customer value lifecycle, from sales through value realization, renewal and expansion. As a Value Engineer Manager, you will lead a dynamic team who come from a variety of backgrounds to identify, frame and deliver value to our customers.

The Role:

As a Pre-sales and Solution Engineering (Value Engineering) Manager, you will lead a team of Value Engineers and drive end-to-end customer value journeys, landing and expanding existing customers (ACV growth) and renewals (renewal rate). You will work closely with the Celonis GTM Leadership Teams and be responsible for the end-to-end value journey for all customers within your region/vertical, supporting customers to achieve their strategic goals and realize significant value using Celonis Process Intelligence Platform. You are a trusted advisor to the Celonis Executive Team, supporting their engagements with strategic customers and senior stakeholders. 

As a leader in one of the fastest-growing tech companies globally, you will bring together deep process and industry knowledge with a proven consulting skill set and strong analytical abilities. You will foster a positive and supportive work environment for your teams, promoting employee satisfaction and career growth.

The work you’ll do:

Identify & Frame Value For Prospects/Customers

• Own the end-to-end customer value journey, including responsibility for landing, expanding, adoption and renewing accounts
• Translate customers’ strategic objectives into high-impact Celonis use cases and evangelize Process Intelligence across prospects and customers
• Communicate the value opportunity and strategic roadmap to C-Level executives in partnership with sales leadership and Celonis executives
• Serve as an executive sponsor across the customer portfolio and solidify Celonis as a strategic business transformation platform for our customers

Create & Scale Value Across The Portfolio

• Lead customers through the Celonis Value Journey, support the deployment of new features, apps, and products across the customer base, and advance strategic growth programs in pursuit of value creation
• Ensure customer success and architect improvement measures and manage change within the customer base, while pioneering new methodologies within Celonis’ Value Engineering organisation
• Direct Celonis Value Engineering, Services and Ecosystem resources through the Celonis Customer Value Journey, creating durable value for our customers 
• Take ownership and build strategic customer relationships as an executive sponsor
• Host QBRs (Quarterly Business Reviews) and EBRs (Executive Business Reviews) to communicate results and realized value to senior management and C-level executives

Grow & Lead Celonis Talent

• Recruit the next-generation of Celonis Value Engineers, while setting a high-standard for candidate excellence
• Develop world-class talent through hands-on engagement, continuous feedback, and active mentorship 
• Lead by example and consistently demonstrate the Celonis Leadership Principles (lead with purpose, facilitate greatness, embrace difference, and cultivate balance)
• Effectively allocate Celonis resources to deliver on company sales, renewals, value,  and adoption targets 
• Communicate success and risks proactively within the organization 

The qualifications you need:

• Domain Expertise: Demonstrate your business domain expertise, such as in Finance or Supply Chain as well as experience in strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation) and ability to build a compelling value roadmap for the customer
• Industry Expertise: Demonstrate a deep understanding of industry trends and strategic challenges of the C-Suite and build an integrated Celonis Process Intelligence roadmap
• Product Expertise: Experience with guiding customer’s IT teams throughout their Celonis Process Intelligence journey, demonstrating hands-on the power of Process Intelligence and proven ability to accelerate value realization by building dashboards, Apps, Action Flows
• Project Management: Plan and manage project scope, expectations and timelines. Leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating results to stakeholders and management, both internally and externally.
• Value Selling Methodology: Demonstrate experience of following the Celonis value selling methodology alongside the customer journey: including discovery, qualification, value assessment and PoV’s, and demonstrate the full value potential of Celonis Process Intelligence
• Value Realization: Proven track record of identifying and prioritizing use cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis
• Sales & Commercial Acumen: Demonstrate ability to qualify all VE engagements, do discovery with customers directly, steer/allocate resources efficiently, and champion our value selling methodology with our customers.

Leadership Skills: Proven ability to lead by example, including being on the front line with your teams, hands-on in all aspects and a role model for the organization. 

The Team:

The Celonis Value Engineering (VE) team is focused on managing the entire customer value lifecycle, from sales through value realization, renewal and expansion. As a Value Engineer Manager, you will lead a dynamic team who come from a variety of backgrounds to identify, frame and deliver value to our customers.

The Role:

As a Pre-sales and Solution Engineering (Value Engineering) Manager, you will lead a team of Value Engineers and drive end-to-end customer value journeys, landing and expanding existing customers (ACV growth) and renewals (renewal rate). You will work closely with the Celonis GTM Leadership Teams and be responsible for the end-to-end value journey for all customers within your region/vertical, supporting customers to achieve their strategic goals and realize significant value using Celonis Process Intelligence Platform. You are a trusted advisor to the Celonis Executive Team, supporting their engagements with strategic customers and senior stakeholders. 

As a leader in one of the fastest-growing tech companies globally, you will bring together deep process and industry knowledge with a proven consulting skill set and strong analytical abilities. You will foster a positive and supportive work environment for your teams, promoting employee satisfaction and career growth.

The work you’ll do:

Identify & Frame Value For Prospects/Customers

• Own the end-to-end customer value journey, including responsibility for landing, expanding, adoption and renewing accounts
• Translate customers’ strategic objectives into high-impact Celonis use cases and evangelize Process Intelligence across prospects and customers
• Communicate the value opportunity and strategic roadmap to C-Level executives in partnership with sales leadership and Celonis executives
• Serve as an executive sponsor across the customer portfolio and solidify Celonis as a strategic business transformation platform for our customers

Create & Scale Value Across The Portfolio

• Lead customers through the Celonis Value Journey, support the deployment of new features, apps, and products across the customer base, and advance strategic growth programs in pursuit of value creation
• Ensure customer success and architect improvement measures and manage change within the customer base, while pioneering new methodologies within Celonis’ Value Engineering organisation
• Direct Celonis Value Engineering, Services and Ecosystem resources through the Celonis Customer Value Journey, creating durable value for our customers 
• Take ownership and build strategic customer relationships as an executive sponsor
• Host QBRs (Quarterly Business Reviews) and EBRs (Executive Business Reviews) to communicate results and realized value to senior management and C-level executives

Grow & Lead Celonis Talent

• Recruit the next-generation of Celonis Value Engineers, while setting a high-standard for candidate excellence
• Develop world-class talent through hands-on engagement, continuous feedback, and active mentorship 
• Lead by example and consistently demonstrate the Celonis Leadership Principles (lead with purpose, facilitate greatness, embrace difference, and cultivate balance)
• Effectively allocate Celonis resources to deliver on company sales, renewals, value,  and adoption targets 
• Communicate success and risks proactively within the organization 

The qualifications you need:

• Domain Expertise: Demonstrate your business domain expertise, such as in Finance or Supply Chain as well as experience in strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation) and ability to build a compelling value roadmap for the customer
• Industry Expertise: Demonstrate a deep understanding of industry trends and strategic challenges of the C-Suite and build an integrated Celonis Process Intelligence roadmap
• Product Expertise: Experience with guiding customer’s IT teams throughout their Celonis Process Intelligence journey, demonstrating hands-on the power of Process Intelligence and proven ability to accelerate value realization by building dashboards, Apps, Action Flows
• Project Management: Plan and manage project scope, expectations and timelines. Leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating results to stakeholders and management, both internally and externally.
• Value Selling Methodology: Demonstrate experience of following the Celonis value selling methodology alongside the customer journey: including discovery, qualification, value assessment and PoV’s, and demonstrate the full value potential of Celonis Process Intelligence
• Value Realization: Proven track record of identifying and prioritizing use cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis
• Sales & Commercial Acumen: Demonstrate ability to qualify all VE engagements, do discovery with customers directly, steer/allocate resources efficiently, and champion our value selling methodology with our customers.

Leadership Skills: Proven ability to lead by example, including being on the front line with your teams, hands-on in all aspects and a role model for the organization. 

Summary

As a Technical Account Manager (TAM), you’ll be responsible for planning and executing strategies to drive customer adoption and use of the Wiz platform.

Ideally based in Sweden, you will provide both strategic and hands-on technical guidance to customers throughout the Wiz journey, from onboarding to operationalization.

Technical expertise and strong customer-facing skills will be essential in address both the business and technical needs of our customers. Serving as the bridge between customers and the broader Wiz team, you'll streamline collaboration between Product Management, Sales, Engineering and Support for a cohesive customer experience.

Join Wiz as a TAM to contribute to customer success and to be a part of an innovative and collaborative company that values excellence and growth.

What you’ll do

• Provide customers with expert guidance on deployment, operational best practices, and assist in establishing a Wiz Center of Excellence.
• Serve as the primary Wiz liaison for technical questions or escalations, collaborating with Support, Product Management, and other relevant teams.
• Contribute to workshops aimed at helping customers unlock the full value of the Wiz platform.
• Develop trusted advisor relationships and establish a regular cadence with customer stakeholders from practitioners to C-level, with a focus on increasing adoption, ensuring retention, and fostering satisfaction.
• Help customers develop Success Plans, outlining critical goals and key performance indicators, and provide guidance in achieving these objectives.
• Measure customers’ achievement of these key performance indicators and report those both internally and externally.
• Identify and address technical issues to ensure high levels of customer satisfaction.
• Collaborate with Engineering and Support teams to resolve technical escalations quickly and efficiently.
• Advocate for customer needs across various departments (product management, support, ...).
• Offer insights regarding the availability of new features in Wiz.
• Program manage account escalations effectively.
• Collaborate with the Wiz Sales and Renewal teams to secure contract renewals.
• Assist in identifying opportunities for expanding Wiz usage across the customer’s organization.
• Maintain up-to-date functional and technical knowledge of the Wiz platform.
• Continuously monitor news related to new & emerging cloud security threats.
• Grow your knowledge of the Wiz ecosystem (Cloud Service Providers, Technology partners, ...)

What you’ll bring

• 3+ years of experience in technical customer facing roles, for example: Technical Account Manager, Professional Services, Solutions Engineering, Technical Support, Customer Success Engineer.
• Strong understanding of cloud services, architectures, and security best practices, with CSP level certifications (e.g., Certified Solutions Architect, Certified DevOps Engineer) preferred.
• Familiarity with container technologies (Docker, Kubernetes) and the security considerations associated with them.
• Strong problem-solving skills, with the ability to troubleshoot complex technical issues and drive resolution.
• Proven track record of building and maintaining relationships with enterprise clients, driving customer success, and exceeding performance targets.
• Excellent communication and interpersonal skills, with the ability to effectively engage with stakeholders at all levels of an organization.
• B.S. in Computer Science, Engineering, or similar field, or equivalent experience.
• Fluent English and Swedish

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 App of the Day.

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

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

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

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

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

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: 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.

About the role

We are looking for bright engineers interested in helping our customers solve complex technical issues related to Applied’s Vehicle Intelligence products. Our Solution Engineers have a unique mix of software expertise, domain knowledge, and execution driven mindset. Using these skills, our engineers work closely with vehicle and autonomy software and tools developers to ensure that Applied’s platform solutions are providing maximum impact to advance customers' SDV (Software Defined Vehicle) and Full End-to-end AD/ADAS initiatives. This is an important role for the company bringing together our product and engineering expertise with our customer-centric culture.

At Applied Intuition, you will:

• Support the technical, project management and customer facing aspects of the Vehicle OS  projects for major OEMs 
• Bridge the gap between the customer and engineering, including understanding and organizing customer technical requirements, setting up and participating in technical meetings, tracking project milestones, and other project management roles

We're looking for someone who has:

• Experience working with automotive OEMs or suppliers
• Prior work in vehicle development, E/E architecture, embedded software domains or autonomy
• An acute attention to detail and an execution focused mindset
• Strong communication skills and focus on solving customer problems
• Experience working with customers and wants to grow their technical and engineering skills
• Experience in interacting with end-customers as an application engineer or a developer
• Project management experience in complex projects

Nice to have:

• Familiar with the vehicle development process and possess in-depth knowledge and practical experience of functional safety required in vehicle development
• Professional experience in software development and coding
• Experience in embedded software development

The role

Mentimeter is looking for a Product Engineer to join our Payments team and help shape how customers pay for and manage their subscriptions.

The Payments team owns the checkout experience, billing systems, subscription lifecycle, and integrations with payment providers like Stripe. We work on reducing friction in critical customer journeys - from initial signup through renewal and cancellation. We're also thinking bigger: exploring more flexible billing models, improving how we handle invoicing and financial reporting, and building the infrastructure to support Mentimeter's growth.

The technical landscape is distributed systems, event-driven architecture, and complex integrations. We partner closely with Product, Finance, Sales, and Support to balance customer experience with business requirements. This is a team that works together -pairing, mobbing, and bringing diverse perspectives to problems that matter.

You'll have a genuine chance to influence Mentimeter's payments strategy and help define how hundreds of thousands of customers experience billing at our platform.

The Team

The Payments team is part of our Capabilities area, which builds critical platform experiences. We're a close-knit group: a product manager, an engineering manager, and backend-focused engineers who care about getting the details right. We work across the entire stack, but most of our work is backend, distributed systems, integrations, and data pipelines.

We're collaborative by nature. We discuss big decisions openly, challenge ideas respectfully, and support each other. We're not a ticket-pushing team. We own outcomes, think about trade-offs, and take initiative to improve what we've built. We're also learning together - experimenting with AI adoption, refining how we work, and building skills we didn't have yesterday.

What you'll do

• Design, build, and improve payment and billing experiences that reduce friction and delight customers
• Work on subscription lifecycle systems, pricing logic, and invoicing pipelines
• Integrate and maintain relationships with payment providers - understanding their APIs, limitations, and cost models
• Build systems that handle distributed transactions reliably, with observability and fault tolerance
• Collaborate across teams - understanding what Finance needs, what Sales is selling, what Support is hearing from customers
• Think about how we evolve our billing capabilities - moving beyond our current patterns to support new pricing models and business requirements
• Take initiative on projects that improve our systems, domain knowledge, or team practices
• Stay curious about payments, distributed systems, and AI adoption in software development

Who you are

You're comfortable working across the backend stack and think in terms of systems and trade-offs. You have real experience shipping backend services to production - you understand latency, observability, and knowing what to test.

You're curious by nature. You ask good questions, learn quickly, and aren't intimidated by domains you haven't worked in before. You have opinions, you share them respectfully, and you're willing to be challenged in return.

You think about outcomes, not tasks. You can take a fuzzy problem, break it down, and drive it to completion. You work well with others - you enjoy pairing, you communicate clearly, and you can represent the team in cross-functional conversations.

This is a full-stack product engineering role with a heavy emphasis on the backend. The primary responsibilities will involve backend development in Ruby. 

The successful candidate will also contribute to and own frontend features. This is a perfect fit for an engineer who is passionate about scalable systems and comfortable working across the entire tech stack, while maintaining a main focus on backend architecture.

It's a big plus if you have

• Experience with payments, billing, subscriptions, or Stripe - you understand the domain and its quirks
• Experience building systems that integrate with external APIs and handle eventual consistency
• Familiarity with distributed systems thinking - understanding event-driven architecture, idempotency, and failure modes
• Some infrastructure or platform thinking - you've thought about observability, monitoring, and operational excellence
• Experience working on products with internal stakeholders - Finance, Sales, Support - and understanding their needs
• Comfort pairing, mobbing, or working in collaborative code sessions
• Interest in AI adoption and how AI tools can improve our development process

It's okay if you don't have

• Specific experience with payments or Stripe (domain knowledge is learnable)
• Deep infrastructure expertise (curiosity and willingness to learn matter more)
• Ruby experience (we value engineers who are problem solvers and have a growth mindset)

How we work with AI
We're actively building AI into how we build software - and as part of the product itself. Every engineer has access to tools like Cursor, Claude, and Codex, and we encourage you to use them to pair on tricky problems, explore unfamiliar codebases and to prototype and experiment. We're not prescriptive about how we use them, but we are curious about what works and what comes next in how products get built. Our teams regularly share workflows, and lessons learned, and we treat AI adoption and fluency as a skill we're all developing together - both in how we build and in what we build for our customers.

The role

Mentimeter is looking for a Product Engineer to join our Identity team and help shape how users and organizations authenticate, access, and manage their presence across our products.

The Identity team owns the enterprise-grade identity surface of Mentimeter: SSO and SAML authentication, SCIM-based user provisioning, domain control, and email verification among others. Our mission is to create intuitive, scalable solutions for identity management of users and participants - lowering the threshold for enterprises to start adopting our enterprise offering with minimal support. That means everything from a first-time user signing in seamlessly, to enabling organisations of tens of thousands to onboard into their workspace smoothly through automated provisioning and access management.

Beyond our own systems, we act as an enabling function for other teams - advising on standardized authentication practices across Mentimeter’s products, and ensuring that both internal and external integrations follow consistent, secure patterns.

The technical landscape spans distributed systems, security-sensitive flows, and deep integrations with identity providers. We partner closely with Product, Security, Sales, and Support to balance user experience with enterprise requirements. 

This is a team that works together - bringing diverse perspectives to problems that matter. You’ll have a genuine chance to influence Mentimeter’s identity strategy and help define how millions of users and their organizations experience authentication through our products.

The team

The Identity team is part of our Capabilities area, which builds critical platform experiences. We’re a close-knit group: a product manager, an engineering manager, and engineers who care deeply about getting security and user experience right at the same time. We work across the entire stack, but most of our work is primarily in the backend. We’re collaborative by nature. We discuss big decisions openly, challenge ideas respectfully, and support each other. 

We’re not a ticket-pushing team. We own outcomes, think about trade-offs, and take initiative to improve what we’ve built. We’re also learning together - experimenting with AI adoption, refining how we work, and building skills we didn’t have yesterday.

What you'll do

• Design, build, and improve authentication and identity experiences that are seamless for individual users and robust for large enterprises
• Work on SSO and SAML integrations, SCIM-based provisioning, domain control, email verification, and password authentication flows
• Integrate and maintain relationships with identity providers - understanding their protocols, limitations, and security models
• Build systems that handle security-sensitive flows reliably, with observability, auditability, and fault tolerance
• Enable other engineering teams by establishing standardised authentication practices and advising on identity patterns for new products and integrations
• Collaborate across teams - understanding what Security needs, what Sales is selling to enterprise customers, and what Support is hearing from organisations
• Think about how we evolve our identity capabilities - moving beyond current patterns to support new authentication methods, multi-product identity, and growing enterprise requirements
• Take initiative on projects that improve our systems, domain knowledge, or team practices
• Stay curious about identity, security, distributed systems, and AI adoption in software development

Who you are

You’re comfortable working across the backend stack and think in terms of systems and trade-offs. You have real experience shipping backend services to production - you understand latency, observability, and knowing what and when to test functionality.

You’re curious by nature. You ask good questions, learn quickly, and aren’t intimidated by domains you haven’t worked in before. You have opinions, you share them respectfully, and you’re willing to be challenged in return.

You think about outcomes, not tasks. You can take a fuzzy problem, break it down, and drive it to completion. You work well with others - you enjoy pairing, you communicate clearly, and you can represent the team in cross-functional conversations.

This is a full-stack product engineering role with a heavy emphasis on the backend. The primary responsibilities will involve backend development in Ruby. 

The successful candidate will also contribute to and own frontend features. This is a perfect fit for an engineer who is passionate about scalable systems and comfortable working across the entire tech stack, while maintaining a main focus on backend architecture.

It's a big plus if you have

• Experience with authentication, identity management, SSO, or protocols like SAML, OIDC, and OAuth - you understand the domain and its quirks
• Experience building systems that integrate with external identity providers and handle security-sensitive flows
• Familiarity with distributed systems thinking - understanding event-driven architecture, idempotency, and failure modes
• Some infrastructure or platform thinking - you’ve thought about observability, monitoring, and operational excellence
• Experience working on products with both end users and internal stakeholders - Security, Sales, Support - and understanding their needs
• Experience enabling other teams - advising on best practices, reviewing integration designs, or maintaining shared libraries
• Comfort pairing, mobbing, or working in collaborative environments
• Interest in AI adoption and how AI tools can improve our development process

It's okay if you don't have

• Specific experience with authentication or identity protocols (domain knowledge is learnable)
• Deep infrastructure expertise (curiosity and willingness to learn matter more)
• Ruby experience (we value engineers who are problem solvers and have a growth mindset)

How we work with AI
We're actively building AI into how we build software - and as part of the product itself. Every engineer has access to tools like Cursor, Claude, and Codex, and we encourage you to use them to pair on tricky problems, explore unfamiliar codebases and to prototype and experiment. We're not prescriptive about how we use them, but we are curious about what works and what comes next in how products get built. Our teams regularly share workflows, and lessons learned, and we treat AI adoption and fluency as a skill we're all developing together - both in how we build and in what we build for our customers.

As an Analytics Engineer in the Analytics Foundation team, you help the whole company use data with confidence. You sit in a small team with real ownership: we shape how analytics engineering is done here, not only what gets built. You will make architectural decisions for data modelling and set the bar for quality, maintainability, and how we work. This is not a role where you only implement models from a backlog of “orders”; you partner with the business and with technical teams, surface trade-offs when needed, and help prioritise work that compounds.

We spend most of our time on larger initiatives that improve the platform and how people use data, rather than reacting to a constant stream of ad-hoc questions. The team has a high degree of autonomy over its agenda, little firefighting, and we have invested for years in automating repetitive work so we can focus on impact. You will work hands-on with modern data tooling and with AI-assisted workflows, including coding agents and agent-style automation where they genuinely speed up design, review, and deliver, while staying responsible for correctness, governance, and clarity for stakeholders.

You will develop and maintain core models, quality practices, and governance; support the warehouse and pipelines; and help teams get the most from BI and GTM tooling. Tools in our stack include Snowflake, dbt core, Hex, Prefect, Fivetran, and Hightouch (among others).

Key responsibilities:

• Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse.
• Empower the organization to use and interpret data.
• Partner with business and technical stakeholders from problem framing to shipped artefacts: clarify requirements, suggest better approaches when a request would not scale, and drive or co-drive cross-team initiatives that improve how data is used.
• Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling 
• Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling, AI-Analysis, BI-tooling and data activation in GTM-Tooling.
• Develop, own and maintain data modeling standards and the data development experience
• Improve how we work at scale: thoughtful automation and AI-assisted engineering (e.g. coding agents and repeatable workflows) with human accountability for correctness and compliance.
• Maintain and grow how knowledge is surfaced, e.g in semantic models, a data catalog, or documentation

We believe you have:

• Roughly 4-7 years of relevant hands-on experience as an Analytics Engineer, Data Analyst, Data Scientist, BI Analyst, or similar (or equivalent depth if your path is non-linear).
• Strong SQL and sound judgment in data modelling (grain, reusability, naming, and how metrics should behave).
• Experience partnering across departments, including leading or co-leading cross-functional work that shipped something others use.
• Strong business acumen with an understanding of sales, marketing, and product analytics.
• Ability to map ambiguous stakeholder needs to clear, maintainable models and artefacts.
• Experience with BI-tools and development of BI features 
• Knowledge of software collaboration using git.
• Communication in English with both technical and non-technical audiences; interest in helping others grow their data skills.
• Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments.

It is beneficial if you have:

• Hands-on experience with dbt (or similar)
• Experience with a semantic or metrics layer
• Experience using AI-assisted coding or coding agents in a disciplined way (reviews, tests, documentation), with clear judgment about automation vs verification for production data work.
• Professional experience working in an agile environment

Not required:

• Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities).
• A cover letter is not required as part of your application

📍 Location: This is an onsite/hybrid role at Mentimeter HQ in Stockholm.
Please note that we do not offer visa relocation sponsorship for the position.  

💡Our recruitment process:

1. Introduction interview
2. Competence interview, including a live case.
3. Culture interview
4. References & Offer

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

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!)

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.