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Senior Analytics Engineer
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
work-life balance
positive culture
indoor ball court
rooftop terrace
well-equipped gym
Experience Requirements:
Proven experience in a similar role at Senior Analytics Engineer level or above
Expert-level proficiency in SQL, dbt, and data modeling
Strong experience with analytics engineering best practices
Proven ability to mentor and develop technical talent
Strategic mindset with ability to balance technical excellence with business pragmatism
Other Requirements:
Demonstrated ability to influence technical standards and drive adoption through value
Responsibilities:
Influence foundational data architecture strategy
Shape analytics engineering practice across the data team and embedded analysts
Design and champion the metrics layer and semantic definitions
Mentor and develop analytics engineering talent
Drive continuous improvement of analytics engineering capabilities
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Senior Data Engineer
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
work-life balance
positive culture
indoor ball court
rooftop terrace
well-equipped gym
Experience Requirements:
Proven experience in a similar role at Senior level
Extensive experience with data infrastructure and architecture at scale
Proficient in at least one programming language, preferably Python
Fluent in SQL and you understand the internals of modern data warehouses (ideally BigQuery)
Comprehensive verbal and written English communication skills
Other Requirements:
Demonstrated value creation mindset toward both internal and external customers
Responsibilities:
Design, build, and maintain the Veo data platform and pipelines from end-to-end
Collaborate with business stakeholders, software engineers, and analytics engineers
Develop and maintain scalable, efficient, and reliable ETL processes
Work with stakeholders to identify and prioritize analytics requirements
Proactively monitor data infrastructure, troubleshoot, and resolve data-related issues
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Staff Data Analyst
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
work-life balance
positive culture
indoor ball court
rooftop terrace
well-equipped gym
Experience Requirements:
Proven experience in a similar role at Senior Analyst level or above
Strong proficiency in SQL, Python, and advanced statistical analysis
Strategic mindset with deep understanding of business dynamics
Strong communication and influence skills
Ability to build organizational analytical capabilities
Other Requirements:
Demonstrated ability to create business value through analytical influence and product thinking
Responsibilities:
Influence company-wide strategic direction by identifying high-impact analytical opportunities
Develop and maintain scalable analytical methodologies and frameworks
Champion adoption of advanced analytical approaches, including A/B testing and experimentation
Propagate analytical excellence across teams through mentoring, documentation, and knowledge sharing
Collaborate closely with executives and cross-functional teams
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New Biz Strategy Manager (Denmark)
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
work-life balance
positive culture
indoor ball court
rooftop terrace
well-equipped gym
Experience Requirements:
2–5 years in strategy, business development, or commercial roles
Passion for sports, with a strong understanding of US sports culture and market dynamics
Experience validating and scaling new revenue initiatives (SaaS/tech a plus)
Strong commercial and analytical skills
Experience running pilots, customer interviews, or early-stage go-to-market strategies
Other Requirements:
Ability to balance “Build vs. Buy” options, including M&A/partnership opportunities
Confident in influencing senior stakeholders, excellent written and spoken English
Responsibilities:
Identify and evaluate new growth opportunities in sports, geographies, and business segments
Lead market research, customer interviews, and competitive analysis in target areas
Design and test pilots to validate monetization and product fit
Build clear business cases and investment recommendations for leadership
Translate approved initiatives into actionable plans for product and commercial teams
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Strategy Execution Manager
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
work-life balance
positive culture
indoor ball court
rooftop terrace
well-equipped gym
Experience Requirements:
5+ years in strategic planning, business operations, or program management
Demonstrated ability to manage company-wide planning cycles and OKR processes efficiently
Experience tailoring planning approaches to different functions and teams
Advanced analytical and problem-solving proficiency
Skilled at aligning senior leaders and diverse stakeholders on goals
Other Requirements:
Fluent in English (spoken and written)
Responsibilities:
Own and run Veo’s annual and quarterly planning cycles
Partner with product, revenue, and R&D leadership to define priorities, targets, and shared success metrics
Own planning frameworks and tools to surface when initiatives are off track
Facilitate cross-functional execution of top strategic initiatives
Maintain a single-source roadmap and reporting rhythm for leadership
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Machine Learning Engineer
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
work-life balance
positive culture
indoor ball court
rooftop terrace
well-equipped gym
Education Requirements:
MSc or PhD in a relevant field
Experience Requirements:
Hands-on experience with real-world, large-scale machine-learning projects
Great coding skills
Skilled at both autonomous tasks and contributing to group efforts
Ability to examine details closely and critically
Experience with computer vision is advantageous but not a must
Responsibilities:
Train state-of-the-art machine learning models
Write efficient inference pipelines for cloud and edge
Define and supervise data annotation tasks
Improve evaluation schemes to increase understanding of model performance and shortcomings
Contribute to long-term planning and prioritization of tasks
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Embedded Linux Developer
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
A great modern workplace at the forefront of technological innovation
Possibility to work at the intersection of embedded, AI, and cloud
Big focus on employee well-being and culture
Energetic, tech-savvy, and passionate organization
Choose your own setup
Experience Requirements:
Experience with working on connected embedded products
Strong foundation in embedded Linux
Fluency in at least two of Rust, Python and C
Expertise in developing firmware for embedded Linux (Yocto) systems
Ability to develop low-level drivers and firmware for a variety of MCU architectures
Other Requirements:
Wireless communication (BLE / WiFi) experience
Integration with cloud systems (REST APIs, AWS)
Linux media pipelines (Gstreamer) experience
Embedded hardware knowledge
Responsibilities:
Contribute to our camera firmware team
Keeping the products and the firmware ecosystem in a healthy state
Dive into everything from Yocto configuration to application architecture
Debugging day to day challenges with Yocto, bootloaders, filesystems, kernel modules, systemd and d-bus
Interface with both worlds (video processing and AI)
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Senior Embedded Linux Developer
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
A great modern workplace at the forefront of technological innovation
Possibility to work at the intersection of embedded, AI, and cloud
Big focus on employee well-being and culture
Energetic, tech-savvy, and passionate organization
Choose your own setup
Experience Requirements:
At least a 3-5 years of industry experience with working on connected embedded products
Expert knowledge in solving the usual day to day problems in such a system
Seniority in their field, with confidence in their skills
Capacity to independently investigate and resolve issues
Well-versed in defining firmware and application architectures
Other Requirements:
Wireless communication (BLE / WiFi) extensive experience
Integration with cloud systems extensive knowledge
Linux media pipelines (Gstreamer) experience
Embedded hardware knowledge in-depth understanding
Ability to coordinate larger initiatives on the firmware stack
Responsibilities:
Contribute to our camera firmware team
Solving the usual day to day problems in such a system
Venture into new territory in terms of new SoCs, video pipelines, communication protocols, and application architecture
Independently investigate and resolve issues
Coordinate larger initiatives on the firmware stack
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Video Processing Engineering Manager
Veo is an AI sports technology enabling teams to record, analyze, and livestream matches automatically. It enhances player development and tactical understanding.
Benefits:
indoor ball court
rooftop terrace
well-equipped gym
Experience Requirements:
Proven Leadership experience with GStreamer development (or similar frameworks) in embedded and cloud environments
Ability to lead and inspire technical teams, set clear priorities, and deliver tangible outcomes
Deep understanding of video encoding/decoding, GPU and ISP pipelines, cloud media processing, and edge computing
Proficiency with C++ and/or Rust, and Python
Hands-on experience with CUDA, HIP, Vulkan, or other GPU programming frameworks
Other Requirements:
Strong background in real-time media pipelines, video optimization, and low-latency streaming
Familiarity with both embedded systems and cloud-based media architectures
Approachable with a growth mindset, developing an innovative and inclusive positive team spirit
Responsibilities:
Lead and develop a high-performing team of 8+ engineers
Own the end-to-end video and audio processing pipelines
Prioritize and manage backlogs, unblock teams, and ensure scalable engineering practices
Collaborate with hardware, firmware, cloud platform, and product teams to deliver industry-leading media experiences
Optimize the video quality-to-cost ratio across different platforms
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Atlassian Consultant
Atlassian Rovo is a complete AI suite, now free for all users, enabling organizations to integrate AI to boost productivity and drive innovation.
Benefits:
Opportunity to be a part of a community passionate about delivering value and finding the right solutions for our customers
Culture of continuous learning, experimentation, and dedicated time each week for knowledge sharing
Environment where individuals can be themselves and invest in their development
Opportunity to collaborate with leading businesses
Actively participate in the community, and foster collaboration beyond our offices
Experience Requirements:
Deep knowledge of the main Atlassian products, particularly Jira administrator
Experience as Confluence administrator will also be prioritized, but not as essential as Jira admin experience
Some knowledge and experience with Rovo will be prioritized
Knowledge of configuration and administration to effectively manage Atlassian products
Experience with Jira automation rules, config and debug
Other Requirements:
Communication
Problem-Solving
Agile Expertise
Adaptability & Curiosity
Client & Project Management
Responsibilities:
Designing and implementing Atlassian solutions that are perfectly aligned with our customers' needs
Leading workshops to tackle complex problems, helping teams get the most out of tools like Jira and Confluence
Mentoring and training our customers' teams, empowering them with the skills and knowledge to become self-sufficient
Ensure Atlassian tools fit in with the current DevOps practices, tools & culture as well as give advice on how Atlassian fits into the DevOps landscape
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Forward Deployed Engineer
Corti is enterprise-ready AI models powering safer, faster patient care, engineered exclusively for healthcare to understand complex medical terminology.
Benefits:
Work closely with healthcare technology professionals, continuously learning and growing.
Be part of an autonomous, team-oriented culture.
Education Requirements:
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Experience Requirements:
3-5 years of experience in cloud infrastructure, DevOps, or platform engineering.
Proficiency in Kubernetes administration and containerised application deployment.
Experience working with event-driven architectures and message brokers (especially Kafka).
Strong understanding of observability tools like Grafana or Datadog for monitoring and troubleshooting.
Hands-on experience with Kubernetes, container orchestration, and cloud infrastructure (AWS, GCP, or Azure).
Other Requirements:
Excellent English verbal and written communication skills, including all-remote communication.
Responsibilities:
Help partners with Day 1 and Day 2 operations for forward-deployed AI Platform installations, ensuring smooth deployment and ongoing functionality.
Feedback areas of improvement that will simplify operation at the partner site and enhance the overall performance of our solutions.
Enable partners to get the most out of their forward-deployed components through technical guidance, troubleshooting, and optimization.
Serve as the technical bridge between Corti's engineering team and healthcare partners, translating requirements in both directions.
Monitor and maintain deployed systems, diagnosing and resolving issues proactively before they impact operations.
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Senior IT Security Engineer
Corti is enterprise-ready AI models powering safer, faster patient care, engineered exclusively for healthcare to understand complex medical terminology.
Benefits:
You’ll get to help redefine how we work with AI.
You’ll learn much more about machine learning, generative AI, healthcare, product, and commercial excellence.
You’ll work in a multidisciplinary company with over 28 nationalities anchored in a flat meritocracy.
You’ll work with some of the smartest people you have met.
Education Requirements:
Bachelor’s degree in Information Security, Computer Science, Information Technology, or a related field; Master’s degree or relevant certifications (e.g., CISSP, CISM, CISA) preferred.
Experience Requirements:
3+ years of experience in an IT Engineering role, focusing on security, compliance, project management and IT troubleshooting.
An interest in modern security best-practices and containerized production environments using Kubernetes.
Strong understanding of IT infrastructure, networking, and security technologies such as Azure Entra ID, VLAN’s, IPMI/BMC, XDR and NGAV.
A passion for automation, a strong sense of quality and a practical approach to problem-solving.
Experienced in server and endpoint device management, including Windows, MacOS, and Linux operating systems, including the use of MDM.
Other Requirements:
Occasional travel required to data centres for on-site support
Responsibilities:
Assessed and responded to all operational cybersecurity-related incidents according to Corti's relevant policies and procedures.
Resolved all reported incidents quickly and effectively according to our internal SLAs and standards.
Ensured operational effectiveness and planning capacity of the network and data center infrastructure.
Supported the development and operations of our datacenter infrastructure to allow our engineers to focus on the product.
Support company-wide operational IT and security policies in Drata, and ensured that Cortians adhere to them.
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Sales Development Representative - German Speaking (Denmark)
Kindly provides AI-powered chatbots for customer service and sales automation. Its platform is user-friendly, multilingual, and integrates with various systems.
Benefits:
Pleasant, inclusive, and creative workplace
Career opportunities
Professional and personal development
Large degree of professional freedom
Recognition of hard work and direct influence on products
Experience Requirements:
Familiar with outbound prospecting via email and phone
Ambitious to meet and exceed targets
Willing to learn something new every day
Other Requirements:
Enthusiastic with a positive attitude
Passion for Sales and building relationships
Fluent in German and English
Natural-born team player
Responsibilities:
Manage, nurture, and grow your pipeline
Maintain a minimum call & email volume
Proactively seek new business opportunities in the German market
Manage, track, and report your daily activities
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