All active Materials Engineer roles based in Poland.
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WHAT IS BOX
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box is scaling Box AI and our internal analytics to power smarter decisions across the business.
You will design and deploy AI agents and operational solutions that strengthen both IT and business workflows. These agents will be engineered to minimize hallucinations and prioritize security in their models, data handling, and decision-making. You will also build and maintain MCP servers and developer tools that surface actionable data insights and make it easier for teams to act on them. Overall, your work will connect secure, reliable infrastructure with practical AI capabilities to accelerate informed, low-risk decision-making across the organization.
WHAT YOU’LL Do
Design, build, and deploy AI agents that automate and improve IT and business workflows while minimizing hallucinations and ensuring reliable outputs.
Implement model validation, monitoring, and fail-safe mechanisms to detect and reduce incorrect or risky agent behavior.
Architect secure data handling pipelines (ingest, storage, access controls, encryption) to protect sensitive information used by models and agents.
Develop and maintain MCP servers and developer tooling that surface actionable insights and make it easy for teams to query, debug, and act on model outputs.
Integrate observability and telemetry (logging, metrics, tracing) for agents and infrastructure to enable rapid incident detection, root-cause analysis, and performance tuning.
Build role-based APIs and interfaces that allow business and engineering teams to safely interact with agents and automated workflows.
Create onboarding, documentation, and training materials to help teams adopt agents and follow best practices for secure, low-risk usage.
Collaborate with security, compliance, and product teams to define policies, access controls, and approval workflows for model deployment and data use.
Optimize infrastructure cost and reliability through capacity planning, fault tolerance, CI/CD pipelines, and automated testing for agent behavior and integrations.
Continuously evaluate new model architectures, tooling, and defenses to improve accuracy, reduce bias, and maintain a secure, scalable AI platform.
Define canonical schemas, metadata standards, and classification taxonomies to enable trusted decisions and secure data sharing between IT and business teams.
Create automated metadata pipelines using AI/NLP to extract, normalize, and enrich dataset context (ontology, definitions, sensitivity, lineage), and automate metadata population, semantic matching, and lineage inference for faster cataloging.
Develop AI agents and tooling that summarize dataset health, recommend joins/transformations, infer lineage, and route remediation tasks to owners.
Measure and report on adoption, data health, and governance maturity; iterate standards and tooling based on feedback and telemetry.
Mentor peers and evangelize best practices to raise organizational data maturity and enable reliable AI/analytics at scale.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
BENEFITS
Check out the overview of Life at Box which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice.
For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.
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Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities.
What You’ll Do:
Who You Are:
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
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About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
In this role, you’ll partner closely with Sales to drive new business and expand existing accounts by showcasing the value of Veeam’s portfolio to end customers, Cloud and Hosting Providers. You’ll lead technical discovery, deliver compelling remote and on-site demos, run Proof of Concepts, and provide hands-on pre-sales support throughout the evaluation cycle. You’ll also build strong relationships with customers and partners, contribute to marketing events, and develop solution proposals (BOMs, RFPs/RFQs) backed by technical compliance and competitive insights.
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Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
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