Commvault Senior Sales Engineer (SSE) is a pre-sales support role primarily focused on providing technical sales support to Commvault’s partners and channel. The role supports partner-focused sales teams deploying their skills to influence and drive though the sales cycle. The position requires a strong technical contributor who understands how their decisions impact and influence customer value while at time driving revenue for Commvault. 

The SSE is seen as a trusted advisor at all levels within an account (C-Suite, technical stakeholders, etc.). as well as, be a team leader, mentor, teach, and contribute to overall success of Commvault. The SSE drives or supports complex sales opportunities by translating business requirements into solution technical requirements; coordinating technical expertise; sizing, scoping, defining delivery and deployment approach, timeline, and required resources; coordinating demonstrations and proof-of-concept; and supporting internal deal acceptance. 

What You'll Do 

• Collaborate with the regional Pre-Sales team reporting to Regional Pre-Sales Leader
• Present and demonstrate the Commvault software suite of products through the use of appropriate media – presentation, white board and demonstrations, etc.
• Work with internal departments (sales, support, marketing, channel), as appropriate, to ensure success during sales campaigns and/or to ensure the partner experience is positive
• Assist in achieving annual revenue goals in line with the Commvault’s regional business plan
• Attend meetings, training and maintain regular communication with the regional / global Pre-Sales community and other technical and development functions
• Be an inspiration leader within the Pre-Sales division and a go-to resource
• Actively participate in all Sales and regional meetings, QBRs, adding value and technical leadership on all topics (field marketing, qualifying, etc.). 

Who You Are 

• Demonstrably experienced within Software / SaaS industry in a similar capacity. Ideally within Data Management / Security and Cyber Resiliency
• Wide range of technical knowledge of data management inclusive of applications, cloud, compliance, disaster recovery, tape infrastructure, storage arrays, storage networking, networking protocols, and general connectivity in multi-platform enterprise environments
• A dynamic, fast paced individual who is motivated by success and takes the responsibility of owning issues to resolution. Understands the true meaning of “ownership” and “will do”
• Exceptional internal and client centric interpersonal skills in a commercial situation
• Shown success in taking care of Enterprise clients and working on high level deals
• Experience of working on sophisticated RFPs
• Competence with prioritising work and balancing workloads
• Fluent English and Swedish verbal and written language skills
• Willingness to travel

You’ll love working here because: 

• High income earning opportunities based on self performance
• Opportunity for Presidents Club
• RSU and Employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Sales training in MEDDIC and Command of the Message
• Market-leading cyber resilience platform 

#LI-SK1

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

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

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

Key Responsibilities:

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

You might be a great fit if you...

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

Nice to have (big plus):

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

Role Description

• As a Senior Applied AI Solutions 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. 

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.

At Wolt, as a part of Doordash, we’re building the industry’s most scalable and reliable delivery platform to support our three-sided marketplace of consumers, merchants, and courier partners. 

What makes our team unique

• Our global Security team aspires to be the world’s most admired security team, with members across EU, UK and North America (operating as Wolt, Deliveroo and Doordash).
• We’re shaping our next generation infrastructure that is hardened from the ground up. This is a rare opportunity - no legacy tech or off-the-shelf product solutions. There is a lot to do around this new development as well as our “classic” platforms of the three companies.
• The greater team is not just information security - we’re more holistic, and also physical security and safety are a part of our global operations.

Day-to-day in this role you’ll:

• Identify and prioritize risk-reducing and engineering-enabling improvements, and then implement and build them, for our infrastructure and cloud security. This may involve the cloud, access controls, the management plane, or just about any other part of infrastructure we have, across any of our platforms. Implementation and building may range from configuring services as infrastructure as code to actual coding of new features.
• Solve security-related questions and implement requests related to our infrastructure security, including reactive fixes related to vulnerabilities or design flaws.
• Guide our engineering teams related to security, privacy and technical compliance.

Over time, your role can evolve depending on your interests and skills. Our company is  a large place and there’s a lot to do!

This position is ideal for someone who would describe themselves as a cloud sysadmin, having an SRE role, or being a DevOps engineer. You are likely to have at least 5 years of full-time experience working in information technology.

As the Security team sometimes needs to address high-priority security issues as well as ensure the availability of the components we have built, this position includes an on-call duty. On-call compensation and terms will be agreed separately in accordance with the local employment law.

Our humble expectations

• Have hands-on experience with AWS, Kubernetes and how modern microservice architectures work. This is a “must” requirement.
• Are quick to form good working relationships with engineers who are building our platforms, as well as their engineering and product management.
• Are quick to learn nuances in a wide variety of additional services that relate to running a low-latency, high-availability infrastructure.
• Are fluent in at least one programming language, even if this comes from a hobby background.
• Have a strong work ethic, are organized and follow things through.
• Can communicate clearly and provide good visibility to issues as they progress.
• Can see through issues that have many aspects and different - often also non-technical and business-related - considerations.
• Are not scared of submitting and reviewing Pull Requests.
• And as Wolt’s company language is English, you’d need to be fluent in both spoken and written English.

This position is open in our Wolt hubs in Berlin, Germany, or Helsinki, Finland, and will be a part of the Global Security Engineering team.

Next steps

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

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.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

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
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• 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

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.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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.

REQ# FEQ327R2

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.

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

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

What You’ll Do:

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

 Who You Are:

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

Bonus points if you have:

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

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

#LI-Hybrid

Senior Platform Engineer

EQT is looking for a Senior Platform Engineer to join our engineering platform team in Stockholm. This is a hands-on role for an experienced engineer who enjoys building reliable platforms, working closely with teams, and driving long-term impact.

About the Engineering Platform team

The engineering platform team builds and operates EQT’s core platform, enabling product teams to run secure, reliable, and scalable services, data-products and agentic ai. The team works closely with developers and security partners, with a strong focus on automation, standards, and operational excellence.

About the role

In this role, you will work across EQT’s engineering platform and lead the design and delivery of key platform initiatives. You will collaborate with teams across the organization to drive adoption, improve reliability, and enhance the developer experience.

• Lead the design, architecture, and rollout of platform projects from start to finish.
• Collaborate with engineers across the organization to align on platform standards and best practices.
• Operate and continuously improve the engineering platform.
• Contribute to on-call rotations and support platform reliability.
• Improve platform reliability, security, and developer experience.
• Support incident response, troubleshooting, and root cause analysis.

About you

You enjoy working in a high-trust environment and take ownership of building strong technical foundations. You are collaborative, structured in your approach, and motivated by enabling others to succeed.

Essential skills and experience:

• Experience as a senior Platform, SRE, or Infrastructure Engineer.
• Proven experience leading platform projects from concept through to production.
• Hands-on experience running Kubernetes production environments.
• Experience working with cloud platforms, preferably Google Cloud Platform (GCP).
• Experience with infrastructure as code, preferably Terraform.
• Familiarity with GitOps and CI/CD workflows.

Tech Stack / Environment: GCP, GKE, ArgoCD, Gatekeeper, Cilium, Terraform, CircleCI, GitHub, Cloudflare, Datadog, incident.io, Snowflake, DBT, Hex, Go, Python, Next.js

Nice to have:

• Experience with platform security.
• Knowledge of authentication and identity systems.
• Strong networking knowledge across cloud and Kubernetes environments.
• Interest in the Agentic AI ecosystem
• Experience improving platform and production environment resilience.

What we offer

At EQT, you will work in a collaborative and high-trust environment where your ideas and contributions matter. You will have the opportunity to shape a modern engineering platform, work with experienced colleagues, and continue to grow your skills while delivering meaningful impact.

Join EQT as a Data Engineer in the Client Tech Value Stream, where you will build and scale our modern data platform. You will work across the full data lifecycle, enabling reliable, high-quality data products that support decision-making across the business.

About the Client Tech Value Stream team

The Client Tech Value Stream focuses on delivering technology and data solutions that support client, investor, and fund-related processes. The team works closely with engineering, product, CRM, and business stakeholders to build scalable platforms that enable insights and operational efficiency across EQT.

About the role

You will play a key role in designing, building, and operating EQT’s cloud-based data platform. You will work across ingestion, transformation, and data modeling to ensure high-quality, reliable, and accessible data.

• Design, build, and operate scalable data pipelines across multiple data sources.
• Ingest data from APIs, external platforms, Fivetran connectors, and cloud storage.
• Develop and maintain data models using dbt on Snowflake.
• Structure data around core business entities such as clients, investors, funds, and transactions.
• Enable analytics and reporting in tools such as Power BI, Salesforce CRM Analytics, Tableau and our AI stack.
• Monitor and troubleshoot pipelines to ensure reliability and performance.
• Collaborate with stakeholders across engineering, analytics, CRM, and business teams.
• Contribute to platform improvements and modernization of legacy pipelines.
• Support infrastructure and access management using GitHub, Terraform, and Snowflake.

About you

You are an experienced Data Engineer who enjoys working across the full data stack and collaborating with diverse teams. You are comfortable working in a modern cloud environment and translating business needs into scalable data solutions. You are curious about AI and new technology, and can translate both human and machine needs into code.

Essential skills and experience:

• Experience building data pipelines and working with cloud data platforms.
• Experience collaborating with nontechnical stakeholders for requirements and maintenance.
• Strong SQL skills and experience with data modeling for usage by reporting tools and LLM models.
• Experience with Snowflake and dbt or similar tools.
• Experience integrating data from multiple systems such as APIs and SaaS platforms.
• Familiarity with data visualization tools such as Power BI or Tableau.
• Experience with version control and infrastructure tools such as Git and Terraform.

Nice to have:

• Experience with GCP and Fivetran.
• Experience working with CRM systems such as Salesforce.
• Understanding of financial or private markets data.

What we offer

You will be part of a collaborative and forward-looking team where data is central to how EQT creates value. We offer opportunities to work with modern technologies, contribute to impactful projects, and grow your skills in a global environment.

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

Are you interested in working on exciting challenges within high transaction environments? We are looking for you who are curious, can take initiative and come up with new creative solutions, and care about ultimately delivering a great product.  

The Role

Our Player, Rewards & Gamification- Product Development team in Stockholm is growing and we are now looking for a Backend Software Engineer to join! Player, Rewards & Gamification at Betsson Group ensures our customers come back for more. It’s all about loyalty. We provide a world class customer experience beyond the game play featuring Tournaments, Dynamic personalized campaigns and much more! 

You will be part of preparing our journey to containerization, increasing the scalability of our systems while also maintaining their high quality. To accommodate new requirements, we are constantly re-evaluating our systems design and working on exciting new features.

What You’ll Do

• Design and develop distributed backend services using .NET and event-driven architecture.
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions.
• Optimize our microservice ecosystem for performance, reliability, and observability.
• Drive our containerization and cloud migration strategy forward.
• Participate in architecture discussions and help shape technical decisions.
  • For senior engineers: Lead architectural decisions and proactively identify areas for improvement.
• Write maintainable, well-tested code and conduct code reviews.
• Participate in incident resolution and the team’s on-call rotation.
• Maintain clear technical documentation such as ADRs, runbooks, and guidelines.
• Build and share your domain expertise within the team.

What Tech Stack You’ll Be Working With

We don’t expect you to know everything listed below – but the more you’re familiar with, the better. What matters most is your ability to learn, collaborate, and write high-quality, maintainable code. 

Core Technologies

These are essential to the role, and we’re looking for solid experience here – especially for senior candidates.

• Languages & Frameworks: C#, .NET (modern versions after .NET Core)
• Databases: SQL Server, PostgreSQL, Redis, Couchbase (experience with relational or document databases, including indexing and query optimization, is a strong plus)
• Cloud & Containers: AWS, Kubernetes, Docker (experience with any major cloud provider or containerization platform is valuable)
• Testing & Quality: xUnit/NUnit, mocking frameworks, k6 for load testing (understanding of unit, integration, and performance testing is more important than specific tools)

Additional Tools & Practices

Familiarity with these of similar tools and concepts is a plus.

• Messaging & Microservices: Web APIs, Apache Kafka, RabbitMQ, Orleans (experience with any messaging or actor-based system is valuable)
• Observability: Prometheus, Grafana, Loki, Splunk (or experience with other observability stacks)
• CI/CD: GitHub Actions, trunk-based development, progressive delivery (familiarity with continuous delivery pipelines and deployment strategies is more important than specific tooling)
• Architecture: Domain-driven design, event sourcing, actor model, distributed systems at planet-scale
• Ways of Working: Agile and Lean principles, DevOps mindset, strong collaboration

What’s in it for you?

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

Challenge Accepted?

Check out the Betsson Group Blog to find out what our tech colleagues are talking about.

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Senior Software Engineer (Full-Stack) 

Who We Are and What We Do  

At SilverRail, we're on a mission to reshape the way the world travels, and we're inviting you to be part of this journey. Rail is becoming the go-to choice for short and medium-haul travel worldwide, and we're here to help make it happen. 

In the face of the ongoing climate crisis, our vision is crystal clear. We are transforming the online customer experience for rail travel, making it easier than ever for customers to find, buy and use rail. Our cutting-edge technology is the backbone of rail and travel agencies worldwide, making it effortless for travellers to choose the eco-friendly option and reduce their carbon footprint.  

We have over 15 years of trailblazing success behind us, and our teams are spread across the globe, with bases in London, Boston, Brisbane, and Stockholm. We thrive on the philosophy of 'fail-fast-fail-early,' which drives us to find ingenious solutions to complex challenges. 

Join us, and help shape the future of travel! 

The Role  

As a Senior Full-Stack Software Engineer, you will play a key role in designing, building, and maintaining high-quality software solutions that support our evolving platform. Our team in Stockholm build products that are used by multiple API customers and travel agencies, enabling easy, accessible and frictionless rail ticketing across Europe. 
 
Working closely and cross-functionally, you will help translate business requirements into scalable, reliable technical solutions. You will contribute across the full development lifecycle, from requirements analysis and system design through implementation, testing, deployment, and ongoing optimization, all while applying best practices in code quality, maintainability, and performance. 
 

You will work in a collaborative Agile environment, actively participating in Sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives. As a senior member of the team, you will bring strong technical expertise and a passion for clean, maintainable code while contributing to architectural discussions, mentoring teammates, and continuously improving engineering practices. You will help ensure that new features meet the Definition of Done and that each Sprint delivers meaningful, high-quality value. 

Key Responsibilities  

• Analyse requirements and translate functional specifications into well-designed, scalable software components. 

• Design, implement, and maintain application features, contributing to both backend and frontend solutions. 

• Write clean, readable, and maintainable code that follows established engineering standards and best practices. 

• Develop and maintain comprehensive unit and integration tests to ensure reliability and maintain strong test coverage. 

• Produce and maintain clear technical documentation to support maintainability and knowledge sharing. 

• Design, implement and evolve REST and SOAP APIs to support internal services and external integrations. 

• Build and maintain modular, testable Spring/Java-based middleware applications that align with architectural standards. 

• Contribute to the design and architecture of applications and services, helping evaluate technical solutions and trade-offs. 

• Collaborate with cross-functional team members, including Product Managers, QA, Tech Ops and Platform Engineering, to deliver high-quality features within each Sprint. 

• Participate in Agile ceremonies, code reviews, and continuous improvement initiatives to ensure features meet the Definition of Done and engineering standards.   

Required Competence and Skills 

• Strong knowledge and experience with Java 17+, Spring and Spring Boot frameworks. 

• Experience running microservices in the cloud, specifically with AWS, Docker and Kubernetes. 

• Experience of Hibernate and relational databases including MySQL.    

• Experience building JSON and XML based APIs. 

• Strong knowledge of RESTful principles.  

• Experience with UI technologies including JavaScript/TypeScript 

• Experience with UI frameworks including React.JS 

• Experience working in an Agile (Scrum) environment. 

• Familiarity with design patterns, SOLID and TDD 

• Experience using Git/GitLab managing CI/CD pipelines. 

• Minimum 5 years of hands-on work experience.   

• BSc in Computer Science or equivalent experience. 

• Fluent in English both written and spoken. 

• Strong analytical and problem-solving capabilities. 

• Comfortable working in a fast-paced environment while finding solutions to complex challenges. 

Why us?  

• We utilise a hybrid working model, providing equipment for home working so you can work 2-3 days per week at home and 2-3 days per week in our beautiful central Stockholm office.  

• We are part of the Tech Sverige and Almega organisations offering a strong collective working agreement. 

• We provide a wealth of career development opportunities with training that is individual, focused on improving your skills and helping you become the best professional you can be.  

• Our team’s health and wellness is genuinely important to us, so we provide a generous annual Wellbeing Allowance for you to use. 

• A unique opportunity to work for a tech company that is helping the environment by revolutionising the way we travel.  

Our values are simple: Do Good by working for a better tomorrow; Think Big Act Smart by being curious, adaptable and data-driven; and remember that through collaboration we will always be Stronger Together.  

*We are a neurodiverse employer and are working hard to improve our recruitment processes, so if there is any way that we can make the recruitment experience better for you then please let us know in your application - all information will be treated as strictly confidential*  

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 Wow

We are seeking a talented, motivated and experienced DevSecOps Engineer in our Stockholm office with a strong focus on the implementation of security practices  and services within our Cloud Platforms Engineering team, with experience working in an AWS environment. In this role, you will be responsible for ensuring the secure and efficient delivery of software and services, as well as the implementation of robust security measures throughout the software development lifecycle. 

A taster of what you will be involved with: 

• Implement and maintain secure infrastructure on the cloud: Design, deploy, and manage secure AWS environments, leveraging various AWS services such as Amazon EC2, Amazon S3, AWS Identity and Access Management (IAM), AWS Lambda, and Edge Security services. Audit and monitor security groups, network access control lists (ACLs), and other security features to protect sensitive data and systems.
• Monitoring & Logging: Implement proactive security monitoring and alerting mechanisms, leveraging AWS services like AWS CloudTrail, Amazon Control Tower,, Amazon GuardDuty, and Amazon Inspector. Work closely with our Information Security team to identify and respond to security incidents, conduct forensic investigations.
• Vulnerability and Patch Management: Coordinate vulnerability scanning and patch management processes to mitigate security risks. Coordinate with external security vendors for penetration testing, security audits and the remediation of findings with operation teams.
• Security Incident response: Assist the Information Security team in managing security incidents, including containment, investigation, and recovery.
• Security architecture and design: Work closely with architects, central security team, and development teams to integrate security controls into the overall system architecture within AWS and Kubernetes infrastructure. Review and provide guidance on secure design principles, secure coding practices, and secure deployment strategies.
• You will be expected to form part of a 24/7 on call roster to support the engineering team during out of office incidents calls

What we are looking for

As a DevSecOp Platform Engineering team you will work with several stakeholders such as:

• Development teams
• Product owners
• Information Security teams
• Internal Area teams
• Architects
• Experience with the following technologies:
  • • AWS 
    • Kubernetes 
    • Terraform  
    • Github Advanced Security
    • Strong experience as a DevSecOps Engineer or similar role, with a focus on implementing security practices in AWS environments, including Kubernetes infrastructure.
    • In-depth knowledge of AWS services and their security features, such as IAM, VPC, S3, CloudTrail, GuardDuty, Inspector, as well as Kubernetes architecture and security controls.
    • Familiarity with infrastructure-as-code (IaC) tools like CloudFormation or Terraform for managing Kubernetes infrastructure.
    • Knowledge of best practices in IT operations, such as ITIL (IT Infrastructure Library) and DevOps principles.
    • Understanding of secure coding practices, API security, code scanning tools, and vulnerability management processes specific to Kubernetes environments.
    • Strong knowledge of security frameworks and standards (e.g., OWASP, NIST, CIS) applicable to both AWS and Kubernetes environments.

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

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FEQ327R156

Mission 

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

The impact you will have:

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

What we look for:

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

REQ #: FEQ427R53

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.