We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: - A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. - 1:1 sparring with unicorn founders on a weekly basis - Community: Access to the top 0.1% of founders, peers and investors - Team building: Hiring top notch talent supported through our network (over 50,000 professionals) - Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine - Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks - You will own, build, and run your startup in fields such as Cybersecurity - You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management - You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs - You will receive intensive coaching to make your startup ready to raise millions in funding - You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements - You are based in Europe or the Americas or open to relocate - You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues - You have excellent communication skills in the English language Join us and build a €1B+ company with us!

• Zarządzanie projektami w obszarze cyberbezpieczeństwa, realizowanymi end-to-end w sektorze bankowym. • Nadzór nad zakresem, budżetem, jakością, ryzykami oraz zasobami. • Ścisła współpraca z dostawcami zewnętrznymi i wewnętrznymi oraz raportowanie statusu do sponsorów i Zarządu.

• Secure Products, Infrastructure & AI Platforms: Design, implement, and maintain security controls across applications, infrastructure, CI/CD pipelines, and AI enabled services. • Support engineering teams in the secure deployment and operation of AI capabilities, including LLM integrations, intelligent agents, and AI assisted development tooling. • Embed security requirements aligned with SOC 2, ISO 27001, and internal standards. • Drive adoption and operationalization of security tooling including SAST, DAST, container scanning, IaC security, and dependency analysis tooling. • Integrate automated security testing into the SDLC to enable secure-by-design development. • Partner with engineering and product teams to evaluate and support the adoption of new technologies, including AI platforms, LLM services, and automation frameworks. • Provide architectural guidance to ensure new systems and integrations meet security, reliability, and scalability requirements. • Lead application security reviews, threat modeling, vulnerability assessments, and penetration testing. • Support investigation of product and infrastructure security incidents. • Develop and maintain security expertise across multiple Mirantis products. • Champion secure design principles and modern application security practices.

• Develop and implement AI governance and security controls to prevent sensitive data exposure through internal AI tooling (e.g., ChatGPT Enterprise, Copilot, GitHub Copilot, and other LLM-integrated systems). • Establish policies, guardrails, and data classification enforcement for prompt inputs and outputs across all AI-enabled workflows. • Monitor and assess AI tool usage across departments to identify policy violations, data leakage risks or unapproved AI integrations. • Collaborate with Engineering, IT, and Legal to ensure compliance with SOC2, NIST CSF, PCI-DSS, and data privacy regulations (e.g., GDPR, CCPA) in the context of AI data processing. • Develop and maintain a secure AI development environment for internal data science and ML projects. • Support red-teaming and testing of internal AI models to identify vulnerabilities, prompt injection, data exfiltration or model inversion risks. • Identify and mitigate AI-driven external threats, including model-based phishing, deepfake, data poisoning and automated attack tooling. • Work with the security operations and incident response teams to detect and respond to AI-generated or AI-assisted attacks. • Contribute to the organization’s threat intelligence program with a focus on emerging AI risks. • Evaluate and test AI-specific security solutions, including model monitoring, output filtering and anomaly detection tools.