SRE Jobs in Oslo.
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Technical Program Manager
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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
- Breaking down complex requirements with the product manager, tech lead, and Office of the CTO, turning them into execution pieces and finding the right sequence
- Managing schedule, timelines, and milestones (i.e. alpha, beta, and GA)
- Driving the trade-offs between usability, go-to-market (GTM) lead time, features scope, technical debt/investment (i.e. across UX/PM/ENG/GTM) to maximize value for our customers and Cognite
- Drive end-to-end alignment from sales to delivery, security, and support
- Managing internal and external dependencies arising from end-to-end alignment
- Managing budgeting and resource needs
- Managing in-market product performance in scope of the program (e.g. usage metrics, cost drivers, required delivery effort, as well as quality, reliability, security etc.), ensuring those metrics are measured, reported, reviewed and acted upon
The Impact you bring to Cognite
- Automate the "toil" of program management
- Run complex, cross-discipline and cross-department programs that span research, engineering, and product
- Strong influencing skills: The ability to influence stakeholders and drive consensus across the organization without formal reporting lines
- Structured, thorough and detail oriented
- Genuine interest in or direct experience on the full product lifecycle (product strategy, sales, delivery, adoption, support, sunsetting)
- Must have experience from a SaaS company at scale
- Must have software development experience (any language) in developing, testing, deploying code for a software product
- Strong system design understanding, specifically regarding scalable systems
- Proven ability to use AI tools (e.g., Cursor, Claude code, custom agents) to accelerate productivity
Preferred Experience
- Technical MSc degree or proven technical hands-on experience
- Experience in leading and managing product development teams, running sprints, scrums, making scoping trade-offs and assessing technical options with tech leads and architects
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
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