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we are looking for a Professional Services Engineer Student.
The Professional Services Engineer is responsible for supporting the roadmap development by having a wide understanding of the business and providing solutions to the relevant teams in the organization. Include ownership of limited releases, supporting deployments, understanding integration / 3rd party tools (APIs) and leading the transformation of knowledge to the tier 3 support and to the training teams (SME).
Key Responsibilities
Be Point of contact for the product development core team and be part of the Product Life Cycle (PLC)
Extract data from various sources, analyze it and point to the relevant data
Explore opportunities to improve process and tasks
Develop proactive and predictive processes and tools to improve our products and services.
Work closely with a cross functional team between technical teams, Marketing, and R&D.
Deliver lecture-based and hands-on training courses for internal customers (Business support, tech support, Lab support) Transfer tech knowledge (internally).

we are looking for a Salesforce System Analyst.
The Salesforce System Analyst would perform a key position in our Commercial Applications team, responsible for gathering business requirements and implementing those within Sales Cloud, Service Cloud and Apttus CPQ. Were looking for a Self-driven, proactive, and comfortable working independently across distributed time zones individual. Working side by side with Global Process Owners, Product Owners, Scrum Masters and ERP SAP experts in a position that brings our users to have a simple, automated and scalable experience.
Key Responsibilities:
Lead requirements gathering, analysis & solution design, development oversight, and demos for enhancements and transformational initiatives.
Drive high-quality execution across the full SDLC, ensuring readiness for development, CI/CD, SQA, UAT, and deployment.
Operate within a Scrum‑oriented environment, actively participating in Agile ceremonies and maintaining your Jira progress with ownership and transparency to support a healthy, well-prioritized backlog.
Approach business and technical challenges holistically, offering scalable and elegant solutions.
Collaborate closely with project managers, developers, and SQA teams to ensure high-quality, on-time delivery.
Apply practical prompt engineering and scripting skills to optimize workflows and enable intelligent automation.
Integrate APIs and third‑party tools into a robust Salesforce solution.

Do you want to join a global team within an innovative fast-paced medical device company? Grab the opportunity and make good use of your Mathematical and programming skills and affinity to medical device.
Key Responsibilities:
You will design and develop novel algorithms in 3D modeling, computational geometry ,computer vision, machine and deep learning, and high-performance computing.
AI driven approach for computer vision problems
You will research and analyze the underlying problems using real data.
Design and test algorithms in C++ and Python.
Implement algorithms in C++ and integrate them into desktop/cloud applications.
Work closely with other members of the algorithms team and members of other groups such as physics and electronics.
Participate in design reviews and code reviews of co-developers.

This is a dual-track role combining a forward-looking mandate to identify, implement, and maintain AI tools that improve how we work, with day-to-day IT management. You'll be the internal point of contact for all things technology, and a key partner to leadership on compliance initiatives.
Responsibilities
Gen-AI & Intelligent Tools
This is where you'll make your biggest impact. we are actively embedding AI into how we operate internally, and this person will be the engine behind that transformation. You won't just support tools, you'll shape the way the company works.
Scout and evaluate the latest generative AI tools (LLMs, agents, workflow automation, AI-assisted ops) and build a clear view of what's worth adopting
Own the end-to-end rollout of AI tools, from business case and procurement through integration, employee enablement, and change management
Design AI-powered workflows that eliminate manual work and unlock capacity across teams (automated reporting, intelligent document handling, AI-assisted customer interactions, and more)
Build internal expertise by running hands-on sessions, creating guides, and helping colleagues get real value out of the tools
Monitor adoption, performance, and ROI of deployed AI tools, and iterate continuously
Stay on the front edge of the gen-AI landscape, new model releases, emerging agent frameworks, evolving enterprise use cases, and translate what's relevant into action at our company
IT Management
Own and manage our company's internal IT infrastructure, including hardware, software, user access, and helpdesk support
Onboard and offboard employees, provisioning accounts, devices, and access permissions
Manage SaaS tools and vendor relationships, ensuring licenses, renewals, and integrations are up to date
Maintain IT documentation, asset registers, and internal knowledge bases
Security & Compliance
Maintain ISO certification requirements by tracking audit schedules, required documentation, coordinating departmental evidence collection, and filing certificates and reports centrally
Drive SOC 2 audit readiness by maintaining the evidence library (access reviews, training records, change management logs), tracking all controls and their status, and scheduling and supporting auditor visits
Vet new suppliers before engagement by collecting security documentation, ensuring NDAs are signed, and keeping the vendor register up to date.

Were hiring a Senior UX Designer to shape end-to-end digital experience - from chairside scanning on physical devices to desktop and cloud-based clinician tools. In this role, youll turn complex clinical and spatial data into intuitive workflows that help dentists work with speed, confidence, and precision.
Youll partner closely with Product, Engineering, and Design to own experience definition from early problem framing through shipped solutions. This is a hands-on senior individual contributor role for designers who enjoy tackling complex systems, navigating real-world constraints, and building products used every day in high-stakes clinical environments.
Your work will directly influence how clinicians capture, interpret, and act on digital scans - setting the quality bar for iTeros platform and shaping experiences relied on by practices around the world.
Key Responsibilities
Lead end-to-end UX for complex workflows spanning chairside device interactions, desktop applications, and cloud-based tools, from early problem framing to shipped outcomes.
Own ambiguous problem spaces and drive clarity across clinical, technical, and business constraints.
Partner closely with Product and Engineering to define experience strategy, scope, sequencing, and tradeoffs.
Translate clinician needs and dental workflows into scalable interaction models, information architecture, and UI patterns across the iTero ecosystem.
Design experiences that support confidence and decision-making in real-time clinical moments, including clear feedback, error prevention, and recovery.
Produce high-quality design work (flows, wireframes, prototypes, high-fidelity UI) aligned with the Design System and help evolve it where platform needs require.
Plan and run research independently or with partners, synthesize insights, and turn them into actionable design decisions.
Communicate design rationale and user impact clearly to cross-functional and distributed stakeholders.
Support implementation through clear specs, edge-case thinking, and close collaboration with Engineering to ensure quality and accessibility.

You don't need a traditional technology background to succeed here. What we're looking for is someone who is genuinely passionate about AI, technically sharp, and capable of owning complex projects end to end. The technology operations side of the role is learnable; the drive, curiosity, and communication skills are not.
You'll be the person who shapes how our company uses AI internally, builds the systems that keep our technology running smoothly, and ensures our security and compliance obligations are met on time.
Responsibilities
Gen-AI & Intelligent Tools
You'll own this from day one. we are actively building AI into how every team operates, and you'll be the person making that happen.
Continuously explore the generative AI landscape and bring forward clear, well-reasoned recommendations on what our company should adopt
Lead the full lifecycle of AI tool rollouts, from identifying the right solution, building the business case, managing the rollout, and driving adoption across teams
Build and automate workflows using AI and no-code/low-code tools that remove friction and free up people to focus on higher-value work
Become the internal go-to for anything AI related, running training sessions, writing guides, and helping teams get practical results from the tools they use
Track and report on the ROI and adoption of deployed tools, and adjust course when something isn't working
Stay obsessively current on what's happening in AI, new models, new agent frameworks, new use cases, and translate that knowledge into concrete action
Technology Operations
Take ownership of our company's internal technology stack, including devices, software, user accounts, and day-to-day support
Manage employee onboarding and offboarding from a technology perspective
Keep SaaS tools, licenses, and vendor relationships organized and up to date
Maintain clear documentation so nothing lives only in your head
Security & Compliance
Keep ISO certification requirements on track by managing audit schedules, documentation, and coordinating evidence collection across departments
Drive SOC 2 readiness by maintaining the evidence library (access reviews, training records, change management logs) and supporting auditor visits
Vet new suppliers before onboarding by collecting security documentation, ensuring agreements are signed, and keeping the vendor register current.

We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform - designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops - enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productionize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing.

We're looking for a Data Analyst to join one of our R&D. You'll design and deliver data-driven solutions that combine data analysis, statistical methods, improved heuristics, and ML models training to power our company's autonomous supply chain intelligence platform. You'll work closely with data science, engineering, product, and supply chain experts - owning solutions from problem definition to iterative improvement.
Responsibilities
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of supply chain performance
Improve and maintain heuristic rules and analytical models for supply chain use cases (e.g., inventory risk, demand patterns, root-cause analysis)
Train and iterate on ML models to enhance existing analytical solutions
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement and refine hybrid decision logic by combining analytical outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Collaborate with software engineers to support deployment of analytical solutions, including testing and logging
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking.

We are seeking an experienced Senior Full-Stack Engineer to join our development team. In this role, you will contribute to the entire product lifecycle, from participating in initial architectural discussions and tech-stack evaluations to the hands-on execution of complex features. We value collective intelligence, and you will be expected to bring your expertise to the table to help design scalable systems and support the team in maintaining high engineering standards.
Responsibilities
Architecture & Design: Actively participate in the design of new services and system components, providing input on scalability, reliability, and technical feasibility.
Tech-Stack Participation: Contribute to the evaluation of new tools, libraries, and frameworks to ensure our technology stack remains efficient and effective.
Feature Execution: Lead the end-to-end development of robust features, ensuring high-quality implementation across both front-end and back-end layers.
Peer Mentorship: Support fellow engineers through constructive code reviews, technical guidance, and collaborative problem-solving.
Continuous Improvement: Assist in identifying areas for technical improvement within our codebase and development processes, helping to implement best practices.
Agentic Development: Contribute to the team's agentic toolkit by designing reusable components for agent reasoning and skill execution.

We are looking for an experienced IT Support specialist with high service awareness who will support 700+ users and will respond to all Help Desk tickets in a dynamic environment. Maintaining an active inventory of all IT assets, setting up new users, and assorted other IT-related tasks.
What youll do:
Respond to requests for technical assistance (in-person, ticket system, Slack, email).
Diagnose and resolve technical hardware and software issues, i.e., Windows MacOS.
Install and troubleshoot end user equipment, software and hardware .
Perform IT onboarding and offboarding processes for employees, including setting up end-user equipment and accounts.
Provide guidance, assistance, and follow-up on employee questions and tech problems.
Follow IT procedures, logging all IT interactions and administering helpdesk software.
Set up and maintain IT multimedia systems.

We are seeking an Infrastructure Backend Developer to join a backend-only engineering team that owns some of the companys highest-scale and most business-critical services - the backbone of our product. The team is responsible for video ingestion of HLS streams, a video editing service that runs on CPU and GPU workloads in Kubernetes, and 20+ additional backend services. Our infrastructure runs 24/7 with elastic scaling that can grow to very high capacity during peak usage.
In this role, you will own outcomes end-to-end, mentor teammates, and drive both technical design and code reviews. You should be a methodical problem-solver capable of decomposing complex initiatives and prioritizing effectively. Above all, we value high-ownership, low-ego collaborators who bring positive energy to the team.
What youll do:
Design, build, and operate backend services and APIs at scale, with emphasis on reliability, performance, cost awareness, and operability in production.
Own projects end to end: clarify requirements with stakeholders, propose approaches, implement incrementally, and follow through on rollout, monitoring, and iteration.
Collaborate with Product, Operations, Account, DevOps, and engineering teams to deliver cohesive solutions for streaming ingestion, processing pipelines, and backend infrastructure.
Optimize systems for throughput, latency, resource utilization, and stability under spiky and peak traffic patterns.
Investigate and resolve production issues with a calm, systematic approach; improve observability and runbooks so incidents become easier to prevent and recover from.
Mentor engineers through pairing, design discussion, and feedback; setting standards and raising the bar.
Participate actively in agile planning, architectural conversations, and code reviews; contribute to technical review and sound engineering judgment across the team.
Stay current on relevant technologies (cloud, Kubernetes, streaming, data stores, performance engineering) and pragmatically adopt tools - including AI-assisted development where they improve velocity without compromising quality or stability.

What youll do:
Carry out analysis, design, development, and delivery of our sports products.
Design, develop, and maintain backend services and APIs
Set high coding standards and ensure best practices are followed across the backend team.
Lead the design, architecture, and scaling up of the group solution
Be a tech mentor for developers in the group.

What youll do:
Lifecycle Ownership: Lead projects from concept through research, execution, and iterative improvements.
Design Leadership: Lead by example, providing mentorship, guidance, and fostering a collaborative and creative environment.
User-Centered Validation: Strategically apply user research, prototyping, and usability testing insights to define and validate high-impact design solutions.
Design Excellence: Drive the creation of high-quality, visually appealing, and functional designs for web, mobile and our back-office platforms.
Cross-Functional Partnership & Strategy: Partner with cross-functional teams and functional leads to align design strategy with business objectives and product goals, delivering innovative features and enhancements.
Process Improvement & Innovation: Continuously elevate design efficiency by championing new methodologies, integrating cutting-edge tools, and streamlining the design-to-development workflow.

What youll do:
Lead the development and delivery of backend services and APIs using Node.js, TypeScript, and NestJS, deployed on AWS ECS and Lambda.
Architect and maintain scalable microservices that handle live streaming workflows (AWS MediaLive, MediaConnect, MediaConvert), real-time event processing, and high-throughput API delivery.
Own and evolve the platforms monetization layer - Stripe billing integration, subscription management, payment webhooks, ad-serving pipelines (Google IMA), and paywall logic across channels.
Set high coding standards and ensure best practices are followed across the backend team.
Collaborate closely with frontend developers, DevOps, QA, designers, and product managers to deliver seamless end-to-end experiences.

In this role, you will translate high-level product and business goals into robust, production-ready solutions, working hands-on across the full lifecycle - from research and system design to deployment, monitoring, and continuous improvement. You will collaborate closely with Product, Platform, Data, and other R&D teams in a fast-paced, agile environment, ensuring that algorithms and software are seamlessly integrated into real-world, high-throughput systems.
You will combine technical leadership, architectural thinking, and people leadership to drive innovation, execution, and delivery, while shaping how intelligent, automated content is created and scaled across our companys products.
What youll do:
Lead and mentor a multidisciplinary team of algorithm and software engineers, fostering ownership, technical excellence, and professional growth.
Own the delivery of complex, end-to-end systems for automated content creation, from early design and experimentation through production deployment, monitoring, and iteration.
Drive the design and orchestration of agentic systems, working hands-on with the team to integrate ML models, business logic, and software infrastructure across research, engineering, and production at scale.
Translate product and business challenges into technical solutions, defining system architecture, prioritizing initiatives, and guiding execution in an agile environment.
Ensure production readiness and reliability, overseeing deployment, monitoring, performance, and continuous improvement of algorithms and services in a live environment.
Collaborate closely with Product, Platform, Data, and other R&D teams, aligning technical execution with product strategy and business goals in a multidisciplinary setting.
Continuously evolve technically and professionally, encouraging knowledge sharing, joint problem-solving, and awareness of emerging trends in ML, agentic systems, and large-scale software architectures.