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we are looking for a Knowledge & Quality Specialist.
As a Knowledge and Quality Specialist, you will be a member of the team that ensures the quality of the data the company provides its clients.
As part of this, the Knowledge and Quality Specialist is responsible for building and maintaining a knowledge base on the basis of which data analysis is performed, as well as for quality control processes and quality improvement processes of data analysis, and for training analysts and improving processes.
Responsibilities:
Data analysis based on dashboards
Specialization in the type of data analyzed by the company
Specialization in labeling and quality control systems
Improvement and development labeling and quality control systems and features
Performance of quality control tests
Development and implementation of learning and training sets
Collaboration with operation, outsource, development and QA teams

We are looking for a hands-on Manufacturers & Sub-Contractors Manager to lead and optimize our production operations across multiple hardware product lines and external manufacturing partners.

In this role, you will be responsible for driving production performance, improving manufacturing processes, implementing engineering changes, and ensuring high product quality and on-time delivery. Working closely with Operations, R&D, Quality, Supply Chain, and subcontractors, you will play a key role in scaling manufacturing operations and supporting our growing hardware product portfolio.

As part of your role, you will:
Lead day-to-day production operations across multiple hardware product lines and external manufacturing partners.
Drive manufacturing efficiency by identifying bottlenecks, improving production processes, and optimizing throughput.
Own and continuously improve production testing tools, fixtures, and testing methodologies to reduce cycle times and increase quality.
Manage production planning, work orders, priorities, and material readiness to support on-time delivery.
Lead MRB activities, including managing non-conforming materials, supplier returns, and disposition decisions.
Manage RMA processes, including repair operations, failure trend analysis, and resolution of recurring product issues.
Drive the implementation of Engineering Change Orders (ECOs) and support New Product Introduction (NPI) activities in manufacturing environments.
Collaborate closely with Operations, R&D, Quality, Supply Chain, and subcontractors to ensure smooth production execution and continuous improvement.

we are looking for a Deep Learning Researcher.
Our algorithms team is responsible for all of the deep learning and computer vision challenges the company is facing, tackling complex real-world problems that directly affect the companys success. Youd be joining a team of experienced researchers leading the research and implementation of our algorithmic engine analyzing large streams of visual data from construction sites, together with 3D models.
What you'll do:
Research and design deep learning solutions for different computer vision problems, using tremendous amounts of visual and 3D data to meet unmatched accuracy and reliability demands.
Own the complete research cycle, from requirements to design, implementation, and benchmarking, producing innovative solutions for core company problems.
Be part of a vibrant team of bright and experienced engineers bringing the construction industry into the digital age.

In this pivotal position, the DevOps & Platform Engineering Team Lead will take charge of ensuring the reliability, scalability, and operational excellence of the company's cloud platform. This role involves leading a small, high-impact team of DevOps and platform engineers - combining deep infrastructure ownership with platform thinking - building self-service tools and infrastructure that enable R&D teams to move fast and independently.

As part of your role, you will:
Team Leadership & Growth - Mentor engineers, conduct performance reviews, and build a high-trust collaborative team.
Leverage AI to accelerate development and delivery - leverage industry leading tools and our companys agentic concepts to speed up development and operational workflows.
Operational Excellence - Set high standards for code quality, monitoring, and incident response; ensure systems are robust and secure.
Technical Direction - Guide architectural decisions, balancing immediate product needs with long-term scalability.
Enable Autonomous Execution - Build self-service platforms (GitOps, observability, cost dashboards) so product teams deploy and monitor independently.
Stay Hands-On - 60%+ of your time is hands-on: lead architecture reviews, debug critical incidents, and mentor through code and config reviews - you're a player-coach.

We're looking for a highly motivated, "hands-on" Corporate Controller to take full ownership of our global financial operations. As Corporate Controller, you will lead our finance function end-to-end-from streamlining the monthly close and mastering GL control to managing audits and delivering insightful internal reporting. Reporting directly to the VP Finance.

This is a high-impact role at the core of our finance team. It requires a leader who thrives in complex, fast-moving environments and possesses a unique passion for transforming fragmented data into operational clarity. You will work closely with senior leadership and manage a dedicated bookkeeping team, ensuring our financial foundation is scalable and robust.

As part of your role, you will:
Take full end-to-end ownership of the General Ledger. Conduct deep-dive data analysis to identify gaps and establish robust, scalable month-end and year-end closing procedures.
Lead the preparation of consolidated financial statements in strict accordance with US GAAP, managing complex accounting treatments including Revenue Recognition (ASC 606) for SaaS and Hardware models and Lease Accounting (ASC 842).
Oversee the complete financial lifecycle of hardware operations, including rigorous inventory valuation, COGS analysis, and supply chain financial integrity.
Design and maintain internal controls, performing data validations to ensure financial integrity.
Act as the primary lead for external global audits and collaborate with tax advisors to ensure seamless compliance across local and international tax filings.
Directly manage a team of bookkeepers, ensuring accurate and timely operations.
Collaborate cross-functionally with FP&A, Sales, and Operations to bridge financial reporting with business realities, ensuring processes are aligned with global strategic goals.
Drive continuous process improvements to transform manual workflows into automated, efficient, and scalable financial systems.

Are you a senior AI researcher who thrives at the intersection of cutting-edge computer vision and real-world impact? Do you combine deep research expertise with the engineering instincts to ship models that work in production? Join the Content team within our AI group, where youll lead applied research initiatives that transform how sports content is created and experienced.

This is an applied research role with a strong ownership mandate - youll drive the full research lifecycle from problem framing and experimental design through to production integration.

We are dedicated to revolutionizing sports production. Our AI-powered solutions automatically capture sports events and transform them into personalized content, turning key moments into engaging experiences for players, teams, and fans. As a Senior AI Research Scientist, you will have direct impact on the companys innovation roadmap, leading core AI capabilities that power our platform at scale.

As part of your role, you will:
Own the research lifecycle end-to-end: problem definition, literature review, experimental design, model development, evaluation, and production integration.
Design, implement, and evaluate state-of-the-art deep learning models for computer vision tasks including detection, tracking, event recognition, and temporal modeling in video.
Drive applied research projects with clear product impact - not just experimentation, but shipping models that run reliably in production.
Collaborate closely with ML engineers, infrastructure engineers, and QA to ensure smooth model integration and performance in real-world conditions.
Contribute to our research culture: present findings internally, propose new research directions, and stay at the forefront of computer vision and deep learning.
Influence architectural decisions around model design, data pipelines, and evaluation frameworks.