Full-Stack Jobs in Norway.
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Senior Quantum Field Engineer - Nordics
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.
Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications.
Responsibilities:
- Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
- Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
- This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
- Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
- Navigate competitive objection handling
- Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
- Create assets to explain features of our quantum applications and other IonQ quantum products.
- Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
- Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
- Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
- Attend industry conferences, as needed, to talk to client and support our booth activities.
- Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
- This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.
You’d be a good fit with:
- 5 years of experience in technical customer-facing roles or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
- Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
- Motivated learner with a strong interest in quantum computing.
You’d be a great fit with:
- Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
- Time on the customer side in various verticals included leadership roles - this provides customer empathy
- Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
- Proficient in Python and Jupyter Notebooks.
- Expert architecture skills across various technologies (“full stack skills”)
- Experience leading technical events.
Location: This position requires candidates to be based in the Nordics (Denmark, Finland, Iceland, Norway or Sweden).
Travel: 20% travel domestically and globally
Job ID: 1375
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
Applied AI Engineer (Fullstack), AI Co-Innovation
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As an AI Engineer, you'll design and build complex AI-powered solutions—agentic systems, user-facing applications, and intelligent workflows—deployed in real customer environments. You'll work closely with customer teams, internal stakeholders, and product engineering to take solutions from idea to production.
This role demands hands-on technical depth, creativity in solution design, and the ability to move fluidly across domains, tools, and stakeholders.
The Impact you bring to Cognite
- Own deployments end-to-end. Build cross-stack solutions using Cognite Data Fusion and agentic frameworks to solve real customer problems
- Work with real-world systems and data. Orchestrate integrations between AI components, Cognite data models, and existing customer systems using scalable engineering practices
- Design agent workflows. Architect and implement multi-agent systems that combine LLMs, tool use, evaluation loops, and reasoning over industrial data
- Execute directly with customers. Collaborate with technical teams on-site to refine use cases and integrate solutions into production environments.
- Build interactive UIs. Create lightweight but powerful interfaces that deliver value for executives and operators alike.
- Evangelize and enable. Translate technical work into compelling narratives that inspire internal and external stakeholders.
- Shape the product. Feed learnings and customer feedback into the product roadmap systematically—ensuring we build the most compelling industrial AI platform in the market.
- You've built with AI systems. Hands-on experience with LLMs, embeddings, prompt engineering, and related techniques
- You're a strong full-stack engineer. You can work across the stack and own delivery of functional, user-facing solutions: Frontend: React (or similar) + TypeScript, Backend: Python, Kotlin, or similar for orchestration and API integration
- You have 3+ years of relevant experience in software engineering, AI solution architecture, or similar roles—including direct customer-facing work.
- You've shipped agent-based applications. Experience building LLM-driven or agentic systems (e.g., using LangChain or similar frameworks).
- You default to building. Bias toward rapid iteration, showing rather than telling, and learning by doing.
- You communicate clearly. Strong storytelling skills for both technical and executive audiences.
- You write quality code. Clean, maintainable, and scalable—with solid practices around testing, version control, and code review.
- You work at the frontier. Familiarity with modern AI development workflows, rapid iteration, and agentic engineering tools as part of your daily workflow.
Preferred Experience
- Strong UI/UX instincts for building demos and apps quickly
- Understanding of industrial data types (time series, knowledge graphs)
- Experience with Cognite Data Fusion
- Familiarity with vector databases and RAG architectures
- Cloud-native development experience (AWS, Azure, GCP)
- Exposure to industrial domains—manufacturing, energy, process industries
- Startup or high-velocity product environment experience
- Experience with industrial control systems
- Deep fluency with agentic coding tools and an understanding of what they mean for the future of software engineering—and industrial workflows
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
About the Company
About the Role
Location: Remote – Norway, UK, Netherlands, Ireland
What You’ll Do (Key Responsibilities)
- Own and grow a portfolio of strategic energy accounts across Europe, serving as the primary relationship owner and trusted advisor.
- Drive new revenue by identifying, qualifying, and closing complex enterprise opportunities within the European Oil & Gas, Utilities, and Energy ecosystem.
- Develop deep executive relationships (C‑suite and VP‑level) within large European energy enterprises.
- Lead end‑to‑end enterprise sales cycles across multiple countries and regions.
- Navigate large, multi‑stakeholder buying groups in regulated and infrastructure‑heavy environments.
- Deliver value‑based presentations clearly articulating the impact of Armada’s AI and edge computing solutions on energy operations.
- Own pipeline strategy, forecasting, and CRM discipline for the European territory.
- Lead complex negotiations and close high‑value strategic deals.
- Partner cross‑functionally with product, engineering, and customer success teams to deliver tailored solutions.
- Ensure strong post‑sale engagement to drive adoption, expansion, and long‑term retention.
- Stay current on European energy trends, regulations, and competitive dynamics.
- Operate with high ownership and autonomy in a fast‑moving startup environment.
Required Qualifications
- Bachelor’s degree in Business, Engineering, Technology, or related field (advanced degree a plus).
- 7–10+ years of strategic enterprise sales experience, with a strong focus on energy accounts in Europe.
- Proven experience managing strategic or named European energy accounts.
- Strong track record closing large, complex, multi‑country enterprise deals.
- Experience selling technology solutions (AI, IT infrastructure, edge computing) into energy organizations.
- Executive‑level communication and stakeholder management skills.
- History of consistent quota overachievement.
- Disciplined pipeline management and forecasting capability.
- Self‑directed, adaptable, and effective in high‑growth environments.
Energy (Oil & Gas, Utilities, Power, Energy Infrastructure)
Preferred Qualifications
- Experience selling into regulated European energy markets.
- Familiarity with MEDDPICC, Challenger, or Command of the Message.
- Startup or high‑growth company experience.
- Knowledge of edge computing, cloud platforms, and AI/ML in industrial or energy contexts.
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About Armada
Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.
The ND8 region represents a strategically important market for Armada. Customers here are technically sophisticated, highly security-conscious, and often operate across multiple countries with strong expectations around data residency, sustainability, and operational excellence. Armada’s success in ND8 depends on senior engineers who can both execute deeply technical deployments and maintain long-term customer ownership.
Role Overview
The Senior Forward Deploy Engineer for ND8 is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership across the Nordic region. This role combines the execution depth of a Forward Deploy Engineer with the long-term ownership and customer leadership of a Technical Account Manager.
In the early phases of engagement, the Senior FDE leads platform bring-up, deployment execution, and initial workload onboarding. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, reliability, and expansion across multiple countries and sites.
This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ and is intentionally designed to avoid fragmented ownership between deployment and post-sale success. Success is measured by deployment quality, speed to production, customer confidence, platform adoption, retention, and expansion.
Key Responsibilities
Deployment execution and platform bring-up
- Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
- Execute deployments across the ND8 region, including multi-country and multi-site environments
- Own infrastructure bring-up, platform configuration, and production readiness validation
- Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers
Technical account ownership and customer success
- Serve as the primary technical point of contact for assigned ND8 customers post go-live
- Own the technical success plan, adoption milestones, and operational maturity roadmap
- Build trusted, long-term relationships with customer engineering, platform, security, and data teams
- Lead technical governance discussions, roadmap planning, and platform optimization conversations
Joint Success Plan ownership
- Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
- Align deployment milestones, platform adoption, and operational maturity to customer business objectives
- Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
- Regularly review progress against success plans with customer stakeholders and Armada leadership
- Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
- Surface risks, dependencies, and blockers early and drive resolution with clear ownership
Time-to-value acceleration and adoption
- Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
- Drive adoption across new workloads, business units, and countries
- Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS
Operational excellence and reliability
- Ensure customer environments remain stable, secure, and production-ready
- Proactively identify scaling risks, architectural gaps, and technical debt
- Coordinate with Product, Engineering, and Support teams to resolve issues efficiently
Data residency, security, and regulatory execution
- Operate confidently within ND8 data residency, privacy, and security expectations including GDPR-aligned requirements
- Support customer security reviews, audits, and governance processes
- Balance global delivery standards with local regulatory nuance and customer expectations
- Maintain disciplined access control, documentation, and operational hygiene
Field leadership and mentorship
- Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism
- Mentor junior FDEs, TAMs, and delivery engineers as the region scales
- Contribute to deployment standards, runbooks, and repeatable best practices
Cross-functional collaboration
- Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on NB8 priorities and escalations
- Work with Sales on expansion planning while maintaining a trusted post-sale posture
- Provide structured feedback to Product and Engineering teams based on real-world ND8 customer usage
Qualifications and Experience
- 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
- Proven ability to own both hands-on delivery and long-term customer technical relationships
- Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
- Strong troubleshooting skills in live, production environments
- Experience supporting customers across multiple European countries
- Willingness to travel within the ND8 region as required
- Clear, confident communication style suited for executive and senior engineering audiences
Preferred Experience
- Experience with edge compute, modular data centers, or distributed infrastructure
- Familiarity with AI workloads, GPU clusters, and high-performance computing environments
- Exposure to regulated, sovereign, or government-adjacent environments
- Experience operating in Nordic or EU-regulated markets
- Comfort operating with ambiguity and owning outcomes end to end
What Success Looks Like
- ND8 customer environments reach production quickly and operate reliably
- The same engineer who deploys the platform remains the trusted technical owner long-term
- Adoption expands across workloads, sites, and countries without handoff friction
- Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
Android Framework Developer
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*** This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts
*** C'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.
Tietoevry is world leader in high expertise product development services and niche products for Automotive, Wireless and Cloud.
We develop software for the world’s most advanced global technology companies building 5G networks, IoT platforms, Connected & Autonomous Cars and Smart Devices. We’re a key partner to our customers, helping them bring fantastic and innovative products to market with success.
Project description:
We are looking for Full stack Android OS Developers willing to join our team and work closely with one of the world’s leading customers from automotive Tier 1 and SmartTV sector. You will be dealing with the most recent SW and HW on the market, touching the latest technologies in automotive industries, focusing on the modern automotive hypervisor-based solutions.
Role description:
The daily work will include:
- Bring-up of new HW on Android Automotive/Android TV
- Designing and developing Android Automotive/Android TV and Customer features
- Integration of Customer applications
- Participation on Google certification process
- Communication with internal and external stakeholders
Required skills:
- 2+ years of experience in development in Android OS (TV, mobile or Automotive)
- Full stack Android OS SW development and integration, especially with deep experience in Linux and/or Android lower layers e.g. kernel, framework, vendor specific libraries, device drivers, protocols stacks
- Understanding of Android Architecture, Android Ecosystem and Android Debugging
- Experience in Automotive projects (nice to have)
- Good analytical and communication skills
- Fluent English
*** Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts
*** Semblable à l'introduction qui peut précéder toutes les descriptions de poste, une outro peut également être formatée pour la cohérence sur tous les messages
Ready to apply?
Apply to Example Corp
Manager, Data Science
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry