Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics.
WHAT YOU'LL DO
- Team Leadership & Product Security Delivery
- Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle.
- Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems.
- Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture.
- Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms.
Security Assurance & Certification
- Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation.
- Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act.
- Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users.
- Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification.
Incident Response & Lifecycle Security
- Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis.
- Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations.
Commercial & Bid Support
- Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope.
- Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions.
WHAT WE'RE LOOKING FOR
- Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes.
- Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments.
- Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context.
- Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development.
- Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner.
- Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence.
Preferred:
- Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems.
- Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths.
- Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems.
- Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme.
- Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments.
- Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS).
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Location: Paris
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Cybersecurity is one of the areas where AI could do the most good — and one where the capability must be built with particular care. As a Research Engineer on this track, you'll push our models' capabilities in vulnerability discovery and remediation, security analysis, incident response, and across the offensive-to-defensive spectrum of cybersecurity, and it will be your job to develop that ability deliberately and safely.
The work sits at the meeting point of research and engineering: you'll devise new approaches and be the one to implement them. Concretely, that means designing and building RL environments that reproduce realistic security scenarios, pipelines that generate synthetic training instances at scale, and experiments and evaluations that show what our models can actually do. Your results feed directly into the production training runs that shape our frontier models, in close collaboration with Mistral's researchers, engineers, and security specialists.
Security specialists and ML engineers are both welcome here — what matters is that you can hold your own in both worlds, and are eager to go deeper on the one you know less.
WHAT YOU WILL DO
- Design and implement RL environments simulating cybersecurity scenarios.
- Build the pipelines and infrastructure that generate synthetic cybersecurity training instances at scale — thousands of scenarios, not one hand-crafted exercise.
- Conduct experiments and evaluations of model capabilities on these environments, from quick prototypes to controlled benchmark runs.
- Own the infrastructure behind the environments: containers, sandboxes, VMs, cloud deployments, and orchestration (Kubernetes), all managed as code.
- Partner with researchers and security specialists across Mistral, distilling their domain expertise into reproducible environments and datasets.
- Write clear, efficient code in Python and enforce strong software-design practices: testing, code review, CI/CD.
WHAT WE'RE LOOKING FOR
- Hands-on expertise in offensive and/or defensive cybersecurity: vulnerability analysis, web/network/cloud security, secure coding practices, and SOC.
- Strong software engineering skills: clean, reliable, well-tested code — not just exploit scripts.
- Fluency in Python plus comfort reading lower-level languages (C/C++) for vulnerability analysis.
- DevOps experience: Docker, Kubernetes, cloud deployments, sandboxed or simulated environments.
- A pragmatic research-to-engineering mindset: ship a working first version, then refine and scale it.
- Working knowledge of RL techniques and LLM training methodologies, or strong motivation to develop it.
- Self-starter, low-ego, collaborative — comfortable working across research and engineering.
NICE-TO-HAVES
- CTF, cyber-range, or bug-bounty experience — as a player, challenge author, or platform builder.
- A research background in cybersecurity, academic or industrial, or in another experimental discipline.
- Prior experience building RL environments or large-scale ML training infrastructure.
- Relevant open-source contributions and projects.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
JКомпания не указана
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— Обучение с нуля в области кибербезопасности, начиная с Linux и Networking.
— Обучение реальным системам и уязвимостям, их выявлению, анализу и работе с профессиональной методологией.
— Подготовка независимого специалиста по безопасности, способного работать в реальной среде.
Требования:
— Отсутствие необходимости в предварительных знаниях.
— Требуются дисциплина, время и серьёзный подход.
Условия:
— Обучение онлайн в вечернее время.
— Группа из 8 человек, количество мест не увеличивается.
Описание:
— Не требуется готовый "cybersecurity mutaxassisi".
— Не проводится повторное обучение поверх поверхностных знаний из других учебных центров.
— Не используются готовые инструменты и команды.
— Не проводится решение CTF и искусственных задач.
— Обучение ведёт опытный специалист с сертификатами EWPT, EWPTX и EMAPT, работающий в государственных организациях и обладающий опытом в области хакерства, реверс-инжиниринга, архитектуры безопасности и тестирования на проникновение.
— Фокус на реальных задачах и системах, а не на искусственных вызовах.
УдалённоСтажёрToshkent
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Cybersecurity Compliance Specialist, you will be the front-line champion and strategist safeguarding Docebo's security posture and driving customer trust. You will bridge the gap between technical rigor and client confidence, translating complex compliance frameworks (like NIS2, NIST, GDPR, ISO, SOC, and FedRAMP) into competitive advantages. In this role, your work directly accelerates deal cycles, empowers our sales and legal teams, and ensures our global SaaS ecosystem remains fortress-secure.
⚡ THE DAY-TO-DAY
- Champion Customer Trust: Respond to prospect and customer security requests, review RFIs/RFQs, and deliver flawless responses regarding Docebo's compliance and security posture.
- Drive Compliance & CAPs: Tackle customer security questionnaires head-on and collaborate internally to establish Corrective Action Plans (CAPs) for outstanding requirements.
- Power Legal Alignment: Partner with the Docebo legal team to review Customer Agreements, Terms & Conditions, and Data Processing Addendums, seamlessly mapping client requirements to standard processes.
- Spearhead Audit Readiness: Lead and support annual customer audits while partnering with the GRC team during SOC2, ISO (27001, 9001, 42001), and NIS2 assessments.
- Automate for Efficiency: Leverage AI tools and basic programming capabilities to automate internal processes and optimize compliance workflows.
- Publish & Curate Insights: Organize internal compliance documentation and publish up-to-date materials directly to Docebo’s "trust pages" using platforms like Vanta.
- Evaluate Vendor Risk: Support third-party vendor risk assessments, monitor security controls, and maintain management reporting dashboards to mitigate external supplier risks.
🦸 YOUR SUPERPOWERS
- Proven SaaS Expertise: 4+ years of hands-on experience supporting security activities, audits, and compliance in SaaS environments, backed by a Bachelor's degree in Computer Science or a related field.
- Cloud & Privacy Mastery: Solid working knowledge of cloud environments (AWS, Azure, GCloud) alongside data privacy regulations like GDPR, CCPA, and PIPEDA.
- Framework Fluent: Deep familiarity with security and compliance standards including ISO/IEC (27001, 27017, 27018, 27701, 9001, 42001), SOC 2, PCI, NIS2, and CFR21 Part 11.
- Technical Savvy & Automation Mindset: Basic coding skills and hands-on experience with modern security governance platforms like Vanta and 1UP.
- Articulate Communicator: Exceptional written and verbal English communication skills, with a knack for translating complex technical concepts into clear customer answers.
- Problem-Solver Extraordinaire: Proactive, adaptable, and deeply passionate about the intersection of technology, business, and enterprise learning.
🌟 BONUS POINTS
- Certified Specialist: Holding certifications such as CISA, CIPP (or CIPT), or CompTIA Security+.
- FedRAMP Familiarity: Basic understanding and exposure to the FedRAMP framework.
- Advanced Academic Background: Specialized degree focus in Information Security or Auditing.
🧭 OUR INTERVIEW PROCESS
Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned.
Step 2: A 60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity.
Step 3: A 45-minute practical case study/technical discussion with key members of the Compliance & GRC team.
Step 4: A final 30-minute chat with our Security Leadership team to discuss long-term vision, growth, and team alignment.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
JКомпания не указана
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— Подготовка учеников с нуля в направлении Cybersecurity и pentest
— Обучение через практические проекты
Требования:
— Не указаны явно
Условия:
— Обучение 24/7
— Оплата от $60 и выше
Ментор: Fayozbek, 19 лет, специализация Cybersecurity
Задачи:
— Защищать серверы, сети, облачную инфраструктуру и веб-сервисы.
— Выстраивать Zero Trust и безопасный доступ к внутренним системам.
— Выявлять угрозы, расследовать инциденты и устранять уязвимости.
— Работать над архитектурой безопасности вместе с DevOps и разработчиками.
Требования:
— От 3 лет в кибербезопасности и администрировании Zero Trust.
— Практический опыт ZTNA — обязателен: Cloudflare Zero Trust, Teleport, Tailscale, CyberArk или аналоги.
— Уверенный Linux, понимание сетей, TLS, VPN и сегментации.
— Опыт с WAF, SIEM, IDS/IPS, управлением уязвимостями и расследованием инцидентов.
— Знание OWASP Top 10, принципов управления доступом и безопасности Docker; Bash или Python для автоматизации.
Условия:
— Официальное трудоустройство.
— Комфортный офис в Пафосе.
— Сильная техническая команда.
— Возможность влиять на архитектуру безопасности.
— Рассматриваются кандидаты, которые уже на Кипре или готовы переехать для работы в офисе.
Задачи:
Защита масштабной цифровой экосистемы Vingroup: Cloud, приложения, данные, IT-инфраструктура, OT и критически важные системы.
Условия:
Помощь с релокацией, визой и разрешением на работу;
Поддержка с жильём;
Международная медицинская страховка;
18–20 дней оплачиваемого отпуска + праздники;
1–2 оплачиваемых перелёта на родину в год;
Поддержка членов семьи;
Образование детей — до $25 000 в год на ребёнка в зависимости от условий программы;
Транспортная поддержка;
Льготы экосистемы Vingroup;
Персональный HR-сопровождение при переезде и адаптации.
Открытые направления:
SOC — Tier 1 / 2 / 3;
Red Team / Offensive Security;
Application Security;
Cloud / Network / Infrastructure Security.
TSARKA — одна из ведущих компаний в области кибербезопасности в Центральной Азии. Вакансия: Сеньор Маркетолог (B2B IT / Cybersecurity). Местоположение: офис в Астане, Казахстан.
Location: San Francisco, CA; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
You will be a strategic contributor to our cybersecurity marketing efforts, positioning Claude as the trusted AI partner for CISOs, security operations teams, threat intelligence analysts and beyond. This is an important role that requires deep understanding of the cybersecurity ecosystem combined with the ability to craft compelling positioning and messaging around AI's benefit to defenders and the organizations they protect.
Working closely with sales, product, partnerships and communications teams, you'll be responsible for bringing cybersecurity launches, features, and messaging to market through various channels while ensuring cohesive positioning across audiences.
This role needs someone who can set vision and strategy while being hands-on with execution, from launching product capabilities for security operations and sector-specific tools to quarterbacking demand generation campaigns that drive adoption. Working at the intersection of AI safety, the evolving threat landscape, and campaigns, you'll help shape industry conversations around AI's role in cyber defense that drive measurable pipeline and impact results.
Key responsibilities
Coordinate and execute a comprehensive marketing strategy for cybersecurity across key segments: enterprise security operations, threat intelligence, detection and response, governance/risk/compliance, MSSPs and more
Craft differentiated positioning and messaging across solutions pages, campaign materials and content for distinct audiences within the vertical
Support go-to-market for product and solution launches including sector-specific offerings and relevant MCP integrations and skills (SIEM, SOAR, EDR, threat intelligence platforms, etc.)
Partner with the alliances team on joint go-to-market with cybersecurity partners, including shared positioning, launch coordination, and integrated campaign moments across security platform and services partners
Partner with communications on executive thought leadership regarding AI's potential to tip the balance toward defenders, including flagship announcements in the context of key security initiatives
Work with the social and content teams on a cybersecurity content calendar that highlights use cases, case studies, and partnership announcements
Drive thought leadership initiatives and speaking / event opportunities relevant to the security community
Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for security-led enterprise accounts
Report on which channels and campaigns are driving results and identify opportunities for iteration
Minimum qualifications
Have direct experience marketing software products to security audiences, including familiarity with how CISOs, SOC leaders, and security engineering teams evaluate and buy technology
Thrive in a 0-to-1 environment — can build processes where none exist and navigate ambiguity across a complex stakeholder landscape
Are an adaptable generalist with exposure and competency within multiple marketing functions (content, campaigns, social, analytics, sales enablement)
Have strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for both technical practitioners and non-technical audiences
Are a quick learner who can absorb context on security workflows, buyer dynamics, and compliance frameworks rapidly
Excel at cross-functional collaboration — comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams
Are passionate about AI's potential to strengthen cyber defense while maintaining focus on responsible, safe deployment
Preferred qualifications
Have 8+ years of marketing experience with at least 2 years of experience in cybersecurity, security operations, or the broader security technology space
Have worked in or with security organizations and understand the distinct priorities and decision-making dynamics of security buyers
Possess experience with event marketing at security conferences (e.g., RSA Conference, Black Hat, Gartner Security & Risk, ISAC events)
Have a background in enterprise sales enablement, particularly in complex or regulated industries
Show a track record of building marketing programs from scratch at a growth-stage company
Demonstrate interest in the responsible deployment of AI in security contexts, including an awareness of the dual-use considerations unique to cybersecurity use cases
Role-specific policy:
For this role, we expect staff to be able to work from our Washington, D.C. or San Francisco office at least once a month for cross-functional stakeholder engagement. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Zürich, CH
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Security team protects Anthropic's AI systems and maintains the trust of our users and society.
About the Role
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity.
This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.
Responsibilities
Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions
Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
This role may require participation in an on-call rotation.
You may be a good fit if you
Have experience with machine learning.
Have experience in cybersecurity research.
Have strong software engineering skills.
Can balance research exploration with engineering implementation.
Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also have
Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
Experience participating in or building CTF competitions and cyber ranges.
Academic research experience in cybersecurity or other experimental & research background.
Familiarity with RL techniques and environments.
Familiarity with LLM training methodologies.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude is now good at security work. It finds and fixes vulnerabilities in real codebases, triages alerts, and reasons about how an attacker would move through a system, and it improves with every model we ship. Many security platforms build on Claude and we shipped our first security product this year (Claude Security).
You'll lead the cybersecurity product at Anthropic. That means setting the strategy, deciding what we build and where we partner, shipping products, and being the company's voice with CISOs, security vendors, and researchers. Some of this is 0→1 (our first-party products are a few months old and the next ones don't exist yet) and some of it is scaling what already works. Security touches nearly every team at the company.
Key responsibilities
Set Anthropic's cybersecurity product portfolio strategy and be accountable for the results.
Ship security products. Vulnerability discovery and remediation in Claude Code today and a broader set of capabilities in the future.
Represent Anthropic on security externally, with CISOs, vendors, researchers, governments, and press.
Partner with research. Know where the model falls short on security tasks and help build a plan to improve.
Work with safeguards and policy on model access for Cybersecurity.
Keep the cross-functional threads moving across research, engineering, sales, safeguards, policy, legal, and comms.
Minimum qualifications
You've spent meaningful time in security, whether building security products, running a security team, or doing the work yourself in application security, detection and response, vulnerability research, or offensive security.
You've built products or businesses from scratch and taken them to paying customers.
You design for where the models will be rather than where they are. You treat what the model can't do yet as a research target with a reliability bar, and you know what to ship in the meantime.
You have strong product judgment and enough technical depth to read a finding and tell whether it's real.
You're willing to do the unglamorous work.
You communicate well with CISOs, researchers, and executives alike.
Preferred qualifications
12+ years of experience building and shipping products, especially in the security space .
Fluency with AI products: evaluations, model behavior as part of the product surface
Technical background or experience working closely with infrastructure/platform teams
Strong technical judgment with ability to go deep on security and infrastructure topics
Structured thinking and ability to break down complex compliance requirements into shippable features
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$385,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Doha, Qatar
NetWitness provides advanced threat detection, investigation, and response capabilities that help organizations detect sophisticated threats, investigate incidents, and protect critical IT and OT environments.
Job Summary
We are seeking a highly skilled Senior Cybersecurity & Operational Technology Specialist to join the NetWitness team and support customers in Qatar and the broader region.
This role requires the ability to work in Qatar and provide onsite support to customers as needed, including complex investigations, cybersecurity assessments, consulting engagements and incident response.
The role will also support the sales team as a senior technical advisor, helping customers understand NetWitness technologies and services, define requirements, scope engagements and develop technical solutions and proposals.
Key Responsibilities
Partner with local sales teams to develop technical solutions, proposals and customer engagement plans
Lead comprehensive reviews of customer cybersecurity posture across IT and OT environments.
Evaluate customer environments to identify vulnerabilities, security gaps, and opportunities to improve cyber resilience.
Translate assessment findings into actionable improvement plans, helping customers mature their security defenses.
Design and implement secure OT network architectures using segmentation, zero-trust principles, and industry recognized models such as the Purdue Model.
Conduct detailed cybersecurity assessments and threat modeling on physical industrial control systems (ICS), SCADA and other OT environments.
Develop and execute specialized OT incident response playbooks that prioritize process safety and plant availability.
Assist with aligning environments with recognized cybersecurity frameworks, including IEC 62443 and NIST SP 800-82.
Develop and maintain OT risk assessments and translate technical findings into actionable risk priorities for customers executive stakeholders. As part of the job, the resource will deliver cybersecurity consulting services both remotely and in-person.
Deliver proactive services including compromise assessments, gap analysis, threat hunting, incident readiness reviews and customer training.
Conduct digital forensics investigations on endpoints, networks, memory, OT and cloud environments using industry standard tools.
Lead incident response engagements, including triage, malware analysis, threat hunting, and root cause determination.
Develop forensic reports, timelines, and executive summaries for customers and stakeholders.
Develop or customize tools and scripts to improve investigation process.
Collaborate with cross-functional teams to mitigate threats and recommend remediation strategies.
Provide onsite support to customers in Qatar on short notice and travel regionally or internationally for customer engagements and incident response as required.
Mentor junior analysts and contribute to team knowledge-sharing initiatives.
Requirements
7+years of cybersecurity experience and significant hands-on experience in digital forensics and incident response.
Demonstrated hands-on experience securing or assessing OT/ICS environments, including industrial networks, segmentation, incident response, and security architecture.
Strong working knowledge of OT cybersecurity frameworks and standards, including IEC 62443 and NIST SP 800-82.
Strong executive-level and customer-facing communication skills, with the ability to translate complex technical findings into business and operational risk.
Relevant cybersecurity certifications such as GCFA, GCFE, GCIH, GNFA, GREM, CISSP, CISA, OSCP, or equivalent are strongly preferred.
Fluency in English and Arabic (spoken and written).
Must currently reside in Qatar or can legally work in Qatar and provide onsite customer support as required.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts.
Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build.
You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product.
This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them.
Responsibilities
Prototype rapidly to find define the AI frontier for cybersecurity work
Design evaluations that measure model performance on the work security teams actually do
Build the datasets, harnesses, and scoring those evaluations depend on
Engage with the cybersecurity community to help define where AI can make the most impact
Work with engineers and researchers to operationalize promising capabilities into something customers can rely on
Track how model capabilities for security are changing, and what that means for what we build next
Share findings that inform product direction, and partner with product leadership on priorities
You may be a good fit if you:
Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security
Have built AI-powered tools or capabilities for security work
Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up
Are comfortable designing rigorous evaluations and interpreting the results honestly
Can write and communicate clearly about technical findings
Have 7+ years of experience in security research, security engineering, or a closely related field
Strong candidates may also have:
Published research, CTF results, CVEs, or open source security tooling
Experience with model evaluation, benchmarking, or red teaming
Experience building agentic applications
Familiarity with the safety considerations of AI in security contexts
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Montréal
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
We are seeking an Applied AI, Forward Deployed Engineer to build customer use cases on top of the Mistral stack. You will turn "we have agents" into "we shipped something a client uses." This role is about composing cybersecurity-related agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients.
As a Forward Deployed Engineer at Mistral, you may also work on use cases outside cybersecurity, bringing the same context engineering, orchestration, and eval work to enterprise workflows in finance, manufacturing, defense, or the public sector.
What You Will Do
- Client-Facing Agentic Solutions
- You'll individually help deploy into production use cases with considerable business impact across various industries, with cybersecurity client assignments as a priority
- You'll work on state-of-the-art GenAI applications, driving a crucial technological transformation together with our customers
- Tackle iconic use cases that no existing solution on the market can address - from custom configuration of cybersecurity harnesses for cloud defense, to optimizing agentic vulnerability scanning solutions, to customizing agentic red-teaming solutions or penetration testing scenarios
- You'll work directly on client use cases, translating security requirements into agentic solutions
- You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders
- You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback
How We Work in Applied AI
- We care about people and outputs
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care
- No politics. Low ego, high standards
- We embrace an unstructured environment and find joy in it
About You
- You are fluent in English
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces
- You have experience tackling advanced RAG, building agentic use cases, or fine-tuning LLMs
- You have a deep understanding of the concepts and algorithms underlying machine learning and LLMs
- You have strong technical coding skills in Python
- You have strong communication skills, with an ability to explain complex technical concepts in simple terms to both technical and non-technical audiences
Ideally, you have:
- Contributed to open-source projects, in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
- Hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems
- A bias toward action and delivery - you ship fast
- The ability to operate independently with a customer-led mindset
- The ability to reuse internal building blocks and components effectively
- Strong problem-solving abilities and attention to detail
- A collaborative attitude
- Pentesting knowledge
- Experience developing a cybersecurity product
- Experience building agentic harnesses or multi-agent systems end-to-end
- A strong background in evals and benchmarking of agent systems
- Experience with security tooling or workflows
- Prior work on production AI systems in regulated or high-stakes environments
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role summary
As a Product Security Engineer within the Cybersecurity organization, you will be the dedicated security partner for one or more product organizations (such as Vibe, Studio or Forge).
You will work alongside engineers, researchers and product managers to ensure security is built into every stage of the product lifecycle—from early design and architecture decisions through implementation, production deployment and continuous evolution.
Your mission is to help engineering teams build secure products without slowing them down. Rather than acting as a gatekeeper, you will enable teams to make sound security decisions through secure-by-design principles, pragmatic engineering guidance and scalable security automation.
You will own the Product Security strategy for your product portfolio, influence engineering decisions, and help define how secure software is built across one of the world's leading AI companies.
What you will do
- Serve as the dedicated Product Security partner for one or more product organizations.
- Drive security throughout the entire product lifecycle, from design and architecture reviews to production deployment and ongoing operation.
- Lead threat modeling, security architecture reviews and risk assessments for new features, APIs and major architectural changes.
- Define pragmatic security requirements and secure-by-default patterns that enable engineering teams to ship safely at high velocity for a specific product.
- Review critical designs and code, focusing on authentication, authorization, tenant isolation, data protection, cryptography and other high-impact security controls.
- Design product-specific security validation strategies, including targeted testing, abuse-case development and guided agent-based security assessments tailored to each product's architecture and workflows.
- Partner with engineering teams to prioritize and remediate vulnerabilities identified through code reviews, penetration testing, bug bounty programs and automated security testing.
- Collaborate with Security Engineering to improve reusable security platforms, developer guardrails and security capabilities integrated into the SDLC.
- Champion secure software engineering through coaching, technical leadership, reusable design patterns and Security Champion programs.
- Define Product Security metrics, continuously improve the security posture of your products and help shape Product Security practices across the company.
What we're looking for:
- 5+ years of experience in Product Security, Application Security or Software Engineering with a strong security focus.
- Strong understanding of modern software architecture, distributed systems, APIs and cloud-native applications.
- Demonstrated experience performing threat modeling, architecture reviews and secure design assessments.
- Deep understanding of modern software security, including authentication, authorization, cryptography, secrets management, tenant isolation, secure data flows and common vulnerability classes (OWASP Top 10, CWE).
- Strong software engineering skills in Python, Go, TypeScript or similar languages, with the ability to review production code and build security automation.
- Experience with application security testing techniques, including manual code review, penetration testing, bug bounty programs.
- Experience designing product-specific security testing approaches, including security automation or agent-based testing, is highly valued.
- Strong understanding of Secure SDLC principles from product design through production deployment and long-term maintenance.
- Excellent communication and influencing skills, with the ability to earn trust across engineering organizations and balance security, product delivery and developer experience.
- A pragmatic, engineering-first mindset with strong technical judgment and a focus on solving meaningful security problems.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; Amsterdam; Marseille; Munich; London
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes.
You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.
This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.
What We're Looking For
Strategic Discovery & Vision Setting
• Lead executive-level workshops with CISOs and security teams to identify cybersecurity challenges and opportunities where Mistral's AI can drive step-change improvements (e.g., threat intelligence, SOC automation, vulnerability management, incident response).
• Co-create AI-powered cybersecurity adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value in securing their digital assets.
AI Solution Design & Deployment for Cyber
• Architect end-to-end AI solutions tailored to cybersecurity use cases, integrating Mistral's models and platform into customer security workflows, SOC environments, and technical infrastructure.
• Partner with the Applied AI team to design, prototype, and deploy AI-driven cybersecurity solutions in production (e.g., automated threat detection, intelligent alert triage, security log analysis, phishing detection, compliance automation).
• Own the execution of pilot projects and proofs-of-value within cybersecurity contexts, demonstrating the potential of our technology and paving the way for full-scale deployment.
• Ensure deployed solutions meet security, privacy, and regulatory standards (e.g., NIS2, DORA, ISO 27001, SecNumCloud).
Value Realization & Customer Success
• Serve as a trusted advisor to cybersecurity customers, guiding their AI strategy for security operations and ensuring they maximize the value of their investment in Mistral.
• Monitor key performance indicators (KPIs) tied to security outcomes (e.g., mean time to detect, mean time to respond, false positive reduction, analyst productivity).
• Proactively identify expansion opportunities within accounts, building on initial cybersecurity successes to drive long-term partnerships across broader security and defense use cases.
Cross-Functional Collaboration
• Act as the bridge between cybersecurity customers and Mistral's internal teams, synthesizing domain-specific feedback to influence product and research roadmaps for security-oriented features.
• Develop reusable assets, best practices, and playbooks specific to cybersecurity deployments to scale go-to-market efforts and ensure consistent delivery excellence.
• Stay current on the evolving threat landscape, emerging cyber regulations, and AI-for-security trends to maintain credibility and thought leadership.
• Travel (~30-60%) to foster deep client relationships and support on-site deployment, primarily within France and Europe.
About you
• 6+ years in a client-facing strategic and technical role within the cybersecurity or defense sector (e.g., cybersecurity consulting, security engineering, SOC operations, or technical sales in cyber).
• You hold a degree in a relevant scientific field (e.g., Computer Science, Cybersecurity, Data Science, Engineering, etc.).
• Strong cybersecurity domain expertise : solid understanding of security operations (SOC, SIEM, SOAR), threat intelligence, incident response, vulnerability management, and/or compliance frameworks.
• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both security-focused and non-technical audiences on AI-driven security solutions.
• Hands-on experience building and deploying AI or data-driven applications (Python) to demonstrate value in security contexts.
• Familiarity with French and European cybersecurity regulations and frameworks (e.g., ANSSI guidelines, NIS2, DORA, SecNumCloud, ISO 27001).
• Strong business acumen and problem-solving skills, with the ability to structure ambiguous security challenges into actionable solutions.
• Executive presence and communication skills to influence senior security stakeholders (CISO, VP Security, C-level).
• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
• Fluent in English.
• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus.
• Prior experience with defense or sovereign cloud environments is a plus.
Why This Role Matters
You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
Hiring Process
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on LLMs
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
We are seeking an Applied AI, Forward Deployed Engineer to build customer use cases on top of the Mistral stack. You will turn "we have agents" into "we shipped something a client uses." This role is about composing cybersecurity-related agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients.
As a Forward Deployed Engineer at Mistral, you may also work on use cases outside cybersecurity, bringing the same context engineering, orchestration, and eval work to enterprise workflows in finance, manufacturing, defense, or the public sector.
What You Will Do
- Client-Facing Agentic Solutions
- You'll individually help deploy into production use cases with considerable business impact across various industries, with cybersecurity client assignments as a priority
- You'll work on state-of-the-art GenAI applications, driving a crucial technological transformation together with our customers
- Tackle iconic use cases that no existing solution on the market can address - from custom configuration of cybersecurity harnesses for cloud defense, to optimizing agentic vulnerability scanning solutions, to customizing agentic red-teaming solutions or penetration testing scenarios
- You'll work directly on client use cases, translating security requirements into agentic solutions
- You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders
- You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback
How We Work in Applied AI
- We care about people and outputs
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care
- No politics. Low ego, high standards
- We embrace an unstructured environment and find joy in it
About You
- You are fluent in English
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces
- You have experience tackling advanced RAG, building agentic use cases, or fine-tuning LLMs
- You have a deep understanding of the concepts and algorithms underlying machine learning and LLMs
- You have strong technical coding skills in Python
- You have strong communication skills, with an ability to explain complex technical concepts in simple terms to both technical and non-technical audiences
Ideally, you have:
- Contributed to open-source projects, in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
- Hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems
- A bias toward action and delivery - you ship fast
- The ability to operate independently with a customer-led mindset
- The ability to reuse internal building blocks and components effectively
- Strong problem-solving abilities and attention to detail
- A collaborative attitude
- Pentesting knowledge
- Experience developing a cybersecurity product
- Experience building agentic harnesses or multi-agent systems end-to-end
- A strong background in evals and benchmarking of agent systems
- Experience with security tooling or workflows
- Prior work on production AI systems in regulated or high-stakes environments
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Serbia; Croatia; Poland; Belgium; India; Pakistan
About Us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.
About the Client:
Join one of Egypt’s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
About the Role
As a leading financial institution in Egypt, we are heavily investing in localized AI and Machine Learning capabilities to drive innovation while maintaining total data sovereignty. Our Cybersecurity Department is looking for a highly skilled
AI Cybersecurity Engineer
with a deeply offensive mindset.
Operating entirely within our secure, high-performance
on-premises infrastructure
, you will act as an internal adversary. Your mission is to proactively threat model, simulate advanced cyberattacks (Red Teaming), and manage algorithmic risks to detect and neutralize vulnerabilities in our AI systems
before
they can be exploited.
Key Responsibilities
Predictive AI Threat Modeling:
Lead advanced threat-modeling exercises across the bank’s localized AI/ML pipelines, data repositories, and training environments. Anticipate sophisticated attacker behaviors to design preemptive security guardrails before models are moved to production.
AI Red Teaming & Offensive Simulations:
Conduct targeted offensive operations and ethical hacking against our on-premises AI infrastructure. Simulate real-world adversarial attacks, including
data poisoning, model inversion, membership inference, evasion attacks, and prompt injection
.
Framework Mapping with MITRE ATLAS:
Implement and operationalize the
MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems)
framework. Map identified vulnerabilities to ATLAS tactics and techniques to build a robust, AI-specific defensive matrix aligned with traditional MITRE ATT&CK.
On-Premises Infrastructure Hardening:
Assess and secure the physical and virtual infrastructure hosting our AI workloads, including bare-metal GPU clusters, local containerized environments (Kubernetes/OpenShift), and private data registries, ensuring strict isolation from external threats.
Proactive Risk Management & Early Detection:
Collaborate with the SOC and data engineering teams to build predictive detection use-cases and custom alerts. Identify the early warning signs of an AI-targeted attack or data exfiltration attempt before malicious actors can compromise model integrity.
Requirements
Professional Experience:
5+ years
of dedicated experience in Offensive Security, Red Teaming, or Advanced Penetration Testing, with a proven pivot and at least
2 years of hands-on experience securing or attacking AI/ML workloads
.
Banking Sector Experience (Mandatory):
Prior experience working within a regulated financial institution in Egypt. You must understand the security constraints, compliance mandates, and audit rigor required by the
Central Bank of Egypt (CBE)
for on-premises operations.
Deep Mastery of AI Attack Frameworks:
Expert-level knowledge of
MITRE ATLAS
and the
OWASP Top 10 for Large Language Models (LLMs)
. You must have a proven track record of translating these theoretical frameworks into practical, automated offensive playbooks.
On-Prem & Core Technical Skills:
* Strong proficiency in
Python
or bash scripting to build custom exploit or testing tools.
Deep understanding of on-premises infrastructure components (Linux administration, private networking, storage area networks).
Direct experience with container security (
Docker, Kubernetes
) and secure MLOps pipelines.
Education & Certifications:
* Bachelor’s degree in Computer Science, Cybersecurity, Computer Engineering, or a strictly related field.
Highly valued offensive certifications:
OSCP, OSCE, CRTP, or GPEN
, alongside any specialized AI/ML security credentials.
Mindset & Communication:
A relentlessly curious, adversarial mindset balanced with strong risk management disciplines. The ability to clearly articulate complex, highly technical AI vulnerabilities into actionable remediation plans for data scientists and senior banking executives. Fluency in English.
Benefits
Attractive, market-leading salary package
Clear career advancement path with professional development opportunities
ГибридParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридГеография найма не уточнена
San Francisco, CA; Washington, DC; We encourage you to apply even if you might need some flexibility for an interim period of time for relocation
География найма не уточнена
География найма не уточнена
Doha, Qatar
San Francisco, CA
Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ОфисParis; Amsterdam; Marseille; Munich; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks