Threat Intel Manager Jobs

Scale AI sits at the intersection of frontier AI, enterprise software, and national security. We safeguard high-value assets: proprietary AI data and infrastructure, a global contributor ecosystem, and sensitive enterprise and government customer data. As our International Head of Security, you will own and unify Scale’s security strategy across our non-US affairs: Global Public Sector and non-US Enterprise deals. You will drive the execution, customer engagements and compliance with frameworks such as GDPR, ISO27001, UK Cyber Essentials Plus, the EU AI Act, NIS2 and country-specific sovereignty requirements while staying tightly aligned to our global secure-by-default architecture set by the Head of Security. As we expand into FDE-led Agentic Applications while continuing to serve our data and model customers, our security surface area spans internal systems, external products, distributed contributors, and high-assurance government environments. You are a builder who believes security is a product feature, not a hurdle — and who can raise both our defensive maturity and our ambition in frontier AI security. What You'll Do Execute the Global Security Strategy Across International Markets Drive execution of Scale's multi-year secure-by-default roadmap across non-US markets, surfacing regional needs into global architecture decisions. Translate regional regulatory requirements (GDPR, ISO 27001/27017/27018, SOC 2, UK Cyber Essentials Plus, EU AI Act, NIS2, and country-specific data residency / sovereign-cloud rules) into concrete engineering controls. Track regional security metrics and accountability, and represent the international perspective in global prioritisation, audits, and roadmap reviews. Lead Regional Security Engineering & Threat Detection Own the regional execution of identity, fine-grained RBAC, secrets management, CI/CD hardening, encryption, logging, and infrastructure protection with a particular focus on cross-border data flows and in-region tel

Role Summary We are seeking an experienced SOC / Security Operations Lead to oversee and strengthen the organization's Security Operations Center (SOC), threat detection, incident response, vulnerability management, data protection, and security monitoring capabilities. The ideal candidate will possess extensive experience in managing enterprise security operations, SIEM/SOAR platforms, threat hunting, incident response, DLP, endpoint security, and vulnerability management programs. The role requires leadership of a multi-functional security operations team responsible for protecting critical business systems, customer data, and digital assets while ensuring compliance with RBI regulations and industry security standards. Key Responsibilities Security Operations Center (SOC) Management -Lead and manage 24x7 Security Operations Center (SOC) functions. -Establish and enhance SOC processes, playbooks, escalation procedures, and operational metrics. -Ensure timely detection, triage, investigation, containment, and remediation of security incidents. -Develop SOC maturity roadmaps aligned with industry best practices and regulatory expectations. -Monitor security KPIs, SLAs, MTTR, MTTD, and incident response effectiveness. SIEM, XSIAM & Threat Detection -Lead implementation, administration, and optimization of: -Palo Alto Cortex XSIAM -SIEM Platforms -SOAR Platforms -UEBA Solutions -Threat Intelligence Platforms -Develop and tune correlation rules, detection logic, and analytics use cases. -Enhance detection coverage across cloud, endpoints, applications, networks, and third-party environments. -Drive threat hunting and proactive security monitoring initiatives. Incident Response & Threat Management -Lead enterprise cyber incident response activities. -Develop and maintain incident response plans, runbooks, and communication procedures. -Coordinate investigations involving malware, ransomware, phishing, insider threats, account compromise, fraud, and adv

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Security Operations (SecOps) team protects Robinhood and its customers by detecting, investigating, and responding to security threats across our production systems, endpoints, and cloud environments. We combine detection engineering, incident response, and threat intelligence to identify emerging risks, strengthen our defenses, and reduce the impact of attacks before they reach our customers. As we continue to evolve our security platform, we're embracing AI and automation to help our teams move faster, uncover threats more effectively, and scale our defenses against increasingly sophisticated adversaries. As the Manager of Response, Automation, Intelligence and Detection Engineering (RAID) within SecOps, you will lead teams across North America, shaping the strategy, execution, and long term evolution of our defensive security capabilities. You'll be responsible for building high performing teams, maturing our detection and incident response programs, and ensuring we stay ahead of an increasingly sophisticated threat landscape. Working closely with Security, Engineering, Infrastructure, and Trust & Safety, you'll translate emerging threats into scalable defenses wh

Location: Athens, Gr Weekly office requirement: Hybrid – 2 days per week Employment type: Permanent Seniority level: Mid At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Information Security GRC Specialist to play a key role in our Legal team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? 🤔 As our Information Security GRC Specialist you'll play a pivotal role in shaping the future of security compliance at GWI. Reporting into our General Counsel and working closely with our Information Security, Product, and Technology teams, you'll own our compliance posture across security frameworks, vendor risk, and client-facing security requirements — while building a security-conscious culture across the business. A few things you'll be responsible for: 👉 Own and maintain GWI's ISO 27001 certification and compliance across relevant security frameworks, keeping our posture sharp as the threat landscape evolves. 👉 Develop, implement, and maintain information security policies and procedures aligned with industry best practices. 👉 Lead vendor risk management and client security assessments — including responding to client security questionnaires and onboarding requirements. 👉 Build and maintain GWI's security trust portal, showcasing our credentials to clients and stakeholders using tools such as Drata or Vanta. 👉 Drive security awareness across the business through training programmes and internal communications that promote a strong GRC culture. It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment. What do I need to bring with me? 🧳 You'll need to be able to demonstrate the core skills this role requires. You don't have

Location: London, UK Weekly office requirement: Hybrid – 2 days per week Employment type: 6 months fixed term contract, immediate start At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Information Security GRC Specialist to play a key role in our Legal team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? 🤔 As our Information Security GRC Specialist you'll play a pivotal role in shaping the future of security compliance at GWI. Reporting into our General Counsel and working closely with our Information Security, Product, and Technology teams, you'll own our compliance posture across security frameworks, vendor risk, and client-facing security requirements — while building a security-conscious culture across the business. A few things you'll be responsible for: 👉 Own and maintain GWI's ISO 27001 certification and compliance across relevant security frameworks, keeping our posture sharp as the threat landscape evolves. 👉 Develop, implement, and maintain information security policies and procedures aligned with industry best practices. 👉 Lead vendor risk management and client security assessments — including responding to client security questionnaires and onboarding requirements. 👉 Build and maintain GWI's security trust portal, showcasing our credentials to clients and stakeholders using tools such as Drata or Vanta. 👉 Drive security awareness across the business through training programmes and internal communications that promote a strong GRC culture. It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment. What do I need to bring with me? 🧳 You'll need to be able to demonstrate the core skills this role requires. Y

P-191 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production "customer" that dogfoods Databricks and drives the future direction of the products. If you are interested in machine learning infrastructure, please apply to the Software Engineer Backend job opening here. The impact you will have: Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis. Work closely with Product Management, Sales, Customer Success a

Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – AI Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment wi

Staff Software Engineer - AI Research Infrastructure P-1215 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. Job Description As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security. You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support. The Impact you will have As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems) Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring. Create tooling that improv

Staff Software Engineer - AI Research Infrastructure P-1215 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. Job Description As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security. You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support. The Impact you will have As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems) Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring. Create tooling that improv

Principal Research Scientist – Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks’ strategic obj

About the Team DoorDash's Red Team exists to find critical attack paths before real adversaries do. We operate across the full adversary simulation lifecycle — scoping threat-informed engagements, executing realistic attack chains, and working with engineering and detection teams to close the gaps we uncover. Our attack surface spans a multi-sided marketplace: consumer and merchant data, payment systems, driver logistics, and the cloud-native infrastructure that ties it all together. We're looking for a leader who can take this team to the next level. About the Role We need an offensive security leader who stays close to the work. As the Engineering Manager of the Red Team, you'll inherit an existing team, level it up, expand headcount, and build the partnerships needed to turn red team findings into real engineering change. This is a player-coach role — you'll set strategic direction while staying hands-on with engagement scoping, tradecraft, and tooling decisions. You'll report to the Director of Global Security Services. You're excited about this opportunity because you will… Define the red team's strategic roadmap — engagement cadence, target prioritization, and capability development — aligned to DoorDash's threat landscape. Lead, coach, and grow a team of offensive security engineers. Hire intentionally to fill capability gaps as the team scales. Stay technically involved in engagement scoping, methodology, and tooling architecture. Guide adversary simulation, not just manage it. Drive remediation outcomes cross-functionally — partner with detection/response, AppSec, infrastructure security, and product engineering to make sure findings get fixed, not just documented. Build purple team workflows with detection engineering to validate and improve defensive coverage. Direct the development of red team infrastructure and custom tooling as production-quality software. Translate offensive findings into risk language that engineers, VPs, and non-technical stakeholde

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a