{"has_next":true,"jobs":[{"id":"faa17528-2b03-4b12-9ce4-d471daa30ee2","company_id":"a0000000-0000-0000-0000-000000000001","title":"Engineering Manager, Cybersecurity Products","slug":"engineering-manager-cybersecurity-products-977bce2a","description":"About Anthropic \n 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.\n About Anthropic \n 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.\n About the role \n We are hiring an Engineering Manager to lead a team of engineers building AI-powered cybersecurity products. The work spans research, product, and go-to-market.\n Your team will prototype and ship products that use frontier models to defend code and infrastructure. You will set technical direction, partner with research to turn new model capabilities into products, and stay close to customers so the team builds the right things, not just builds things well.\n This is a builder's role. The team is small, the pace is high, and you should expect to be in the code, in customer calls, and in research reviews the same week. You also need to scale the team without losing the prototyping energy that got the product here.\n Responsibilities \n \n \n Lead and grow the team: hiring, performance, and the culture that keeps strong engineers doing their best work\n \n Set technical direction and sequence the roadmap across prototyping, enterprise hardening, and platform investments, with PM and PMM\n \n Partner with research to identify model capabilities worth productizing, and give research clear signal on the capability gaps blocking customer value\n \n Stay close to customers, design partners, and the security community; turn what you learn into product bets and unblock the team on the ones that matter\n \n Make architectural calls across agentic scanning pipelines, model orchestration, customer-facing surfaces, CI and source-control integrations, and the data infrastructure underneath\n \n Raise velocity by removing bottlenecks and sharpening operating rhythms, while holding the bar on quality, security, and reliability\n \n Coordinate with GTM, partnerships, and other product areas to land joint launches and ecosystem integrations\n \n Grow the next layer of leadership on the team so it can take on more as the charter expands\n \n You may be a good fit if you \n \n \n Have 8+ years of software engineering experience and 4+ years managing engineers, with ownership of a team's hiring, performance, and technical direction\n \n Have shipped cybersecurity products in production (SIEM, EDR, vulnerability management, application security, threat detection, incident response, or security automation)\n \n Have taken a team from prototype through first paying customers to scaled enterprise deployment\n \n Are technical and hands-on: comfortable in design reviews and in the team's code\n \n Have strong product instincts and a record of helping teams decide what to build, not just how\n \n Communicate clearly across functions and keep research, product, GTM, and executive partners aligned through ambiguity\n \n Treat direct customer contact as a primary input to your roadmap\n \n Care deeply about Anthropic's mission and about developing AI responsibly and safely\n \n Strong candidates may also have experience with \n \n \n Hands-on security expertise: application security, vulnerability research, reverse engineering, incident response, penetration testing, or detection engineering\n \n Building products on LLMs, including agentic systems, evals, and prompt and model iteration loops\n \n Strict data-handling environments (BYOC, CMEK, regulated industries, governments)\n \n Both startup and enterprise-scale company experience\n \n Working closely with research to translate capability into shipped product\n \n Ecosystem partnerships and MCP, CI/CD, or source-control integrations\n The annual compensation range for this role is listed below. \n 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.\n Annual Salary:\n $405,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n 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.\n Visa sponsorship:  We do sponsor visas! However, we aren't a","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["llm","security","alignment","agents"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5236531008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-30T03:37:09Z","expires_at":"2026-06-29T14:00:14.304228Z","created_at":"2026-05-30T14:00:14.410288Z","updated_at":"2026-05-30T14:00:14.410288Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/faa17528-2b03-4b12-9ce4-d471daa30ee2"},{"id":"5a89030f-a628-4b8e-ac53-eb3aae31f75e","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Engineering Manager, App SW - Embedded ","slug":"engineering-manager-app-sw-embedded-08cbdb31","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n   The Role  \n We’re seeking an exceptional technical leader to build and lead our US Application Engineering team, a high-impact group driving localisation and advancement of Wayve’s autonomous driving technology for the US market. This is a unique opportunity to shape our AV capabilities in the US from the ground up.\n As one of the key managers, you’ll lead the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. \n Key Responsibilities: \n \n Lead software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).\n Build and lead an engineering team in the US, hiring and mentoring top talent.\n Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.\n Validate integration of drivers, middleware, and boot-time configurations.\n Collaborate with Verification \u0026 Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.\n Partner with OEM and Tier 1 teams to resolve hardware-specific integration issues.\n Enable system-level diagnostics, logging, and secure boot configuration.\n Automate setup, flashing, health checks, and test execution on target hardware.\n \n About You  \n In order to set you up for success at Wayve, we’re looking for the following skills and experience.  \n Essential \n \n 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.\n Strong proficiency in C/C++, Bash, and Python.\n Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).\n Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.\n Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).\n Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).\n Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.\n Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks. \n \n Desired  \n \n Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).\n Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.\n Understanding of secure boot, OTA updates, and system-level cybersecurity topics.\n Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.\n \n  \n This role is a full-time role based in Detroit or Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $252,500 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  \n #LI-KM1 \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspe","salary_min":252500,"salary_max":298200,"location":"Detroit","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["generative-ai","security","autonomous-vehicles","embedded"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8568363002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T16:15:00Z","expires_at":"2026-06-29T14:12:44.031333Z","created_at":"2026-05-30T14:12:44.149277Z","updated_at":"2026-05-30T14:12:44.149277Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5a89030f-a628-4b8e-ac53-eb3aae31f75e"},{"id":"781f9019-5cb8-421c-9149-bdac5aa8f1a9","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Engineering Manager, App SW - Embedded ","slug":"engineering-manager-app-sw-embedded-dabd3f4b","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n   The Role  \n We’re seeking an exceptional technical leader to build and lead our US Application Engineering team, a high-impact group driving localisation and advancement of Wayve’s autonomous driving technology for the US market. This is a unique opportunity to shape our AV capabilities in the US from the ground up.\n As one of the key managers, you’ll lead the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. \n Key Responsibilities: \n \n Lead software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).\n Build and lead an engineering team in the US, hiring and mentoring top talent.\n Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.\n Validate integration of drivers, middleware, and boot-time configurations.\n Collaborate with Verification \u0026 Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.\n Partner with OEM and Tier 1 teams to resolve hardware-specific integration issues.\n Enable system-level diagnostics, logging, and secure boot configuration.\n Automate setup, flashing, health checks, and test execution on target hardware.\n \n About You  \n In order to set you up for success at Wayve, we’re looking for the following skills and experience.  \n Essential \n \n 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.\n Strong proficiency in C/C++, Bash, and Python.\n Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).\n Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.\n Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).\n Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).\n Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.\n Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks. \n \n Desired  \n \n Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).\n Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.\n Understanding of secure boot, OTA updates, and system-level cybersecurity topics.\n Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.\n \n  \n This role is a full-time role based in Detroit or Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $252,500 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  \n #LI-KM1 \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspe","salary_min":252500,"salary_max":298200,"location":"Detroit","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["autonomous-vehicles","generative-ai","security","embedded"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8571217002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T16:15:00Z","expires_at":"2026-06-29T14:12:43.944952Z","created_at":"2026-05-30T14:12:44.061673Z","updated_at":"2026-05-30T14:12:44.061673Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/781f9019-5cb8-421c-9149-bdac5aa8f1a9"},{"id":"06abea54-0601-42e3-bb89-32ddb1ee619d","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Sr. Staff Software Development Engineer-AI Security","slug":"sr-staff-software-development-engineer-ai-security-6fd417d1","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n Role \n We are looking for a Sr. Staff Software Development Engineer-AI Security to join us as a founding member of our AI Security Team. This is a Hybrid role based in San Jose, CA or Bellevue, WA (3 days in office), reporting to the Director of Software Engineering within the Emerging Tech org.\n You will be responsible for designing and implementing core infrastructure components and distributed systems, serving as a foundational architect for our AI security solution. This high-impact role focuses on scaling security infrastructure to support hundreds of millions of users, collaborating with stakeholders across the development lifecycle to drive innovation and technical excellence.\n What you’ll do (Role Expectations) \n \n Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture\n Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols\n Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure\n Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components\n Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.\n You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.\n You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.\n You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.\n You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.\n \n What We’re Looking for (Minimum Qualifications) \n \n 8+ years of software engineering experience\n Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std\n Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems\n Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces\n Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization\n Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization\n ","salary_min":154000,"salary_max":220000,"location":"Bellevue, WA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["security","distributed-systems","api-design","llm","data-pipeline","agents"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5146138007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T15:07:34Z","expires_at":"2026-06-29T14:09:19.468531Z","created_at":"2026-05-29T14:33:11.60717Z","updated_at":"2026-05-30T14:09:19.582996Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/06abea54-0601-42e3-bb89-32ddb1ee619d"},{"id":"ceb7845a-f491-495f-b9ad-afc4cbf8eff5","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Sr. Software Development Engineer-AI Security","slug":"sr-software-development-engineer-ai-security-12d276fe","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n Role \n We are looking for a Senior Software Development Engineer-AI Security to join us as a founding member of our AI Security Team. This is a Hybrid role based in San Jose, CA or Bellevue, WA (3 days in office), reporting to the Director of Software Engineering within the Emerging Tech org.\n You will build a high-reliability, low-latency AI security solution capable of scaling to hundreds of millions of users. In this role, you will be crucial in enhancing security capabilities for the AI within the world's largest cloud security platform by designing and implementing core infrastructure components and distributed systems while collaborating closely with stakeholders throughout the development lifecycle.\n What you’ll do (Role Expectations) \n \n Develop high-performance networking code for multiple desktop platforms using the Rust language and platform-native APIs\n Improve code quality through building solid, testable, and well-documented software foundations\n Design and implement major development projects with a focus on scalability, security, and performance\n Collaborate with product managers and cross-functional teams to deliver customer-impacting features\n Debug and solve complex network-related problems and enhance system functionality\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.\n You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.\n You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.\n You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.\n You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.\n \n What We’re Looking for (Minimum Qualifications) \n \n Bachelor’s degree in computer science, engineering, or a related field\n 3+ years of software engineering experience with deep expertise in the Rust programming language and familiarity with lower-level languages such as C/C++\n Strong knowledge of system and network programming including firewalls, VPNs, protocols, TCP/IP, UDP, DNS, QUIC, H/3, and proxies\n Familiarity with system concepts such as virtual memory, multi-threading, and system APIs, and familiarity with SLM and LLM models\n Excellent debugging and problem-solving skills in both networking and system-level contexts\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Familiarity with DevOps pipelines, VPN technologies, and a strong understanding of security protocols and standards\n Experience writing testable, low-complexity code with dependency injection and thorough documentation\n Proficiency in additional programming languages like Swift, Python, or comparable technologies; direct experience in validating AI-d","salary_min":112000,"salary_max":160000,"location":"Bellevue, WA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["mlops","data-pipeline","agents","security","llm","distributed-systems"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5146134007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T14:55:45Z","expires_at":"2026-06-29T14:09:19.312884Z","created_at":"2026-05-29T14:33:11.44252Z","updated_at":"2026-05-30T14:09:19.425288Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ceb7845a-f491-495f-b9ad-afc4cbf8eff5"},{"id":"a1e6623a-57bb-42a8-964e-e2b9698f0e35","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Senior Forward Deployed Engineer","slug":"senior-forward-deployed-engineer-ff299cc4","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n About Okta for AI Agents \n Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are.\n We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with.\n The Role \n You embed inside four to five of Okta’s most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production.\n You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer’s environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering.\n Responsibilities \n \n Become the customer’s trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions.\n Architect and deploy with the customer’s team. Build Okta’s agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns.\n Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture.\n Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real.\n Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated.\n Wire Okta into the customer’s stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions.\n Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection.\n Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer.\n Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room.\n \n Requirements \n \n Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput.\n Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP.\n Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2.\n Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate.\n AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers.\n AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent.\n Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp.\n High agency, founder’s mindset. A zero-to-one self-starter who owns outcomes end to end.\n \n #LI-Remote\n P25","salary_min":200000,"salary_max":275000,"location":"Bellevue, WA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["fine-tuning","code-generation","agents","cloud","security"],"apply_url":"https://www.okta.com/company/careers/opportunity/7961356?gh_jid=7961356","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T13:23:38Z","expires_at":"2026-06-29T14:09:00.148157Z","created_at":"2026-05-28T14:10:39.406925Z","updated_at":"2026-05-30T14:09:00.25852Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a1e6623a-57bb-42a8-964e-e2b9698f0e35"},{"id":"d8372e30-6a66-49c1-b225-3271b0a4a19f","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Senior Staff Security Engineer, AI","slug":"senior-staff-security-engineer-ai-5fc21c61","description":"At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.  \n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. \n \n THE WORK: \n As a Senior Staff Security Engineer focused on AI Security, you will be Ripple's deepest technical expert at the intersection of artificial intelligence and security. This is a purpose-built, high-impact individual contributor role that spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable.\n You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates every day. You will also shape Ripple's external posture on AI security, contributing to industry standards, regulatory discussions, and Ripple's published security practices.\n WHAT YOU’LL DO: \n \n Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one.\n Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope.\n Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering.\n Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI.\n Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter.\n Serve as Ripple's go-to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi-agent systems, translating emerging threats into concrete mitigations with Engineering and Product.\n Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security. \n \n \n WHAT YOU'LL BRING:  \n \n \n 10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice.\n Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities.\n Experience securing agentic AI systems, including sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring for autonomous workflows.\n Fluency with core Security Engineering domains including cloud security on AWS, GCP, or Azure, CI/CD pipeline security, container and Kubernetes security, IAM, and API security, with the ability to reason about how these apply in AI-specific contexts.\n Strong threat modeling instincts, whether using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or your own approach, and comfort applying frameworks to architectures where the playbook remains in development.\n Experience in FinTech, crypto, or other highly regulated environments is a strong plus, ideally with exposure to frameworks like NYDFS, MAS, DORA, or SOC 2 as they relate to AI adoption.\n Proven ability to work across teams, influence technical direction without direct authority, and bring structure to problems that span Engineering, Product, and Security.\n A genuine builder's mentality. You are energized by problems without established playbooks, comfortable building in ambiguity, and motivated by raising the bar in an area that is still being defined.\n \n Other common names for this role: AI Security Architect, LLM Security Engineer, Agentic AI Security Lead \n For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based","salary_min":232000,"salary_max":290000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["llm","healthcare","payments","rag","code-generation","agents","security"],"apply_url":"https://ripple.com/careers/all-jobs/job/7961902?gh_jid=7961902","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T13:13:15Z","expires_at":"2026-06-29T14:12:02.752999Z","created_at":"2026-05-28T14:13:53.327797Z","updated_at":"2026-05-30T14:12:02.874002Z","company_name":"Ripple","company_slug":"ripple","company_logo_url":"https://www.google.com/s2/favicons?domain=ripple.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d8372e30-6a66-49c1-b225-3271b0a4a19f"},{"id":"4b838594-7738-4715-8dfb-17cd9c747ea8","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Principal GenAI Data Engineer ","slug":"principal-genai-data-engineer-9a655ea2","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n Role \n We are looking for a Principal GenAI Data Engineer to join our IT Data Strategy team. This role is fully remote within the US, reporting to the Senior Manager, Enterprise AI Data Platform. We are seeking an experienced technical leader to drive the design and implementation of enterprise-grade Generative AI data ingestion, knowledge preparation, and platform architectures that enable scalable, production-ready GenAI applications. This role focuses on architecting robust pipelines and platforms for ingesting, processing, governing, and serving structured and unstructured enterprise data for AI/LLM workloads. The ideal candidate combines deep expertise in enterprise data architecture, unstructured data pipelines, GenAI platform engineering, and strong software engineering skills in Python.\n What you’ll do (Role Expectations) \n \n Architect enterprise-scale GenAI data platforms for ingestion, transformation, enrichment, and serving of structured and unstructured data\n Design scalable pipelines for enterprise knowledge ingestion from diverse data sources including documents, SaaS platforms, knowledge bases, collaboration tools, and databases\n Define architecture for metadata extraction, chunking, enrichment, embeddings generation, and knowledge preparation workflows\n Design AI-ready data models and storage strategies for vector, graph, and hybrid knowledge systems\n Architect scalable unstructured data processing pipelines for text, images, PDFs, tables, and multimodal content\n \n Who You Are (Success Profile) \n \n You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.\n You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.\n You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.\n You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.\n You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.\n \n What We’re Looking for (Minimum Qualifications) \n \n Expert-level Python programming and software engineering capabilities\n Experience building distributed/scalable data pipelines for AI workloads\n Strong understanding of unstructured data extraction and processing pipelines\n Experience with vector databases, graph databases, and metadata/knowledge storage systems\n Hands-on experience with clustering, entity recognition algorithms, and modern retrieval strategies (including RAG, search, and agentic AI workflows)\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Deep understanding of AI-ready data platform design principles and the ability to bridge platform/data engineering with GenAI/LLM application requirements\n Experience with LLMOps / GenAIOps frameworks such as LangSmith, Evaluation Framework like Arize","salary_min":182000,"salary_max":260000,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"principal","tags":["security","embeddings","data-pipeline","agents","generative-ai","llm","data-engineering"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5142526007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-26T18:53:33Z","expires_at":"2026-06-29T14:09:18.592777Z","created_at":"2026-05-27T14:09:33.406845Z","updated_at":"2026-05-30T14:09:18.706338Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4b838594-7738-4715-8dfb-17cd9c747ea8"},{"id":"ed3d2cf9-e188-43f9-a65d-feeadcbe72a0","company_id":"b6e5a3d1-9bde-4a82-8d78-9f38ed99ee81","title":"Senior Platform Product Manager - AI SDLC Trusted Throughput","slug":"senior-platform-product-manager-ai-sdlc-trusted-throughput-1f1f0508","description":"As a Senior Platform Product Manager focused on AI SDLC Trusted Throughput, you will define and drive the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. As AI accelerates development velocity and system complexity, you will help evolve SDLC systems from human-supervised workflows to platforms with built-in safety, observability, and correctness guarantees. You will partner closely with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance while enabling both engineers and AI agents to move quickly with confidence. This role offers the opportunity to shape foundational developer infrastructure and influence how AI-powered software delivery operates across Datadog.\n  \n At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.\n  \n What You’ll Do: \n \n Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform\n Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety\n Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows\n Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle\n Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation\n Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compliance, legal, privacy, and governance stakeholders\n \n  \n Who You Are: \n \n You have 5+ years of experience in B2B SaaS Product Management or a related technical leadership role focused on developer platforms, infrastructure, or SDLC tooling\n You have experience defining, instrumenting, and operationalizing engineering performance and reliability metrics, including DORA metrics and deployment health indicators\n You are comfortable navigating ambiguity and influencing highly technical stakeholders, including senior engineers and technical leadership\n You have a strong perspective on how AI is transforming software engineering workflows and understand the operational, reliability, and governance risks introduced by autonomous systems\n You are an effective communicator who can present complex technical concepts to engineering teams, cross-functional stakeholders, and executive audiences\n You have a Bachelor’s degree in Engineering, Computer Science, Information Technology, or equivalent practical experience\n \n Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. \n  \n Benefits \u0026 Growth: \n \n New hire stock equity (RSUs) and employee stock purchase plan (ESPP)\n Continuous professional development, product training, and career pathing\n Intra-departmental mentor and buddy program for in-house networking\n An inclusive company culture, ability to join our Community Guilds\n Access to Inclusion Talks, our Internal panel discussions\n Free, global Spring Health benefits for employees and dependents age 6+\n Competitive global benefits\n \n  \n Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. \n Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.\n The reasonably estimated yearly salary for this role at Datadog is:\n $192,000 — $240,000 USD \n \n About Datadog:  \n Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #Datadog","salary_min":192000,"salary_max":240000,"location":"New York, NY","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["security","healthcare","agents","rust"],"apply_url":"https://careers.datadoghq.com/detail/7947683/?gh_jid=7947683","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T19:36:21Z","expires_at":"2026-06-29T14:03:22.889578Z","created_at":"2026-05-27T14:03:34.932799Z","updated_at":"2026-05-30T14:03:23.002439Z","company_name":"Datadog","company_slug":"datadog","company_logo_url":"https://www.google.com/s2/favicons?domain=datadoghq.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ed3d2cf9-e188-43f9-a65d-feeadcbe72a0"},{"id":"dbd36041-3bad-498f-a60f-33baa7773cb6","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Director, Pentest Platform","slug":"director-pentest-platform-4f121b06","description":"Get to Know Us\n\nHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers \u0026 operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\n\n\nWhat You’ll Do\n\nAs Director of Pentest Platform, you'll lead the strategy, design, and development of the core pentest execution, orchestration, and data infrastructure that powers NodeZero's autonomous testing capabilities. You'll manage four engineering teams responsible for building and scaling the platform systems that execute, coordinate, and analyze pentests across complex enterprise environments. This role sits above our platform engineering leaders and will play a key role in scaling the platform organization as we continue to expand NodeZero's reach and sophistication.\n\n\n\n\nKEY RESPONSIBILITIES\n\nLeadership \u0026 Strategy:\n\nLead and scale Horizon3.ai http://Horizon3.ai's Pentest Platform organization, overseeing three teams: Execution Engine (pentest runtime and distribution), Orchestration (scheduling, coordination, and workflow), and Pentest Data Platform (result collection, processing, and analytics). Set clear technical and product direction for how NodeZero executes and analyzes pentests at scale across distributed environments.\n\nProduct Ownership:\n\nPartner closely with Product, Proactive Offense (offensive capabilities), and GTM teams to define platform requirements and deliver capabilities that enable NodeZero's pentest execution at scale. Drive execution from proof-of-concept through production, transforming architectural innovations into reliable, performant platform features.\n\nTechnical Depth:\n\nStay hands-on enough to guide architectural decisions around data models, orchestration patterns, and data pipeline design. Mentor technical leads in building resilient, distributed systems that power NodeZero's core testing infrastructure.\n\nTeam Building:\n\nBuild, mentor, and scale three diverse engineering teams focused on infrastructure, platform automation, and data engineering. Foster a culture of collaboration, operational excellence, and systems thinking that bridges infrastructure and product perspectives.\n\nCross-Functional Collaboration:\n\nCollaborate across engineering, product, and GTM to align platform roadmap with business priorities and offensive capabilities. Ensure reliable, scalable delivery of pentest execution infrastructure that enables rapid innovation in attack content and customer value.\n\n\n\nWhat You’ll Bring\n\n - Proven experience leading and scaling engineering teams in platform or infrastructure development, ideally within a fast-paced startup or growth-stage environment.\n\n - Strong technical background in distributed systems, platform architecture, and large-scale automation, with hands-on experience in system design, orchestration, data pipelines, or infrastructure automation.\n\n - Demonstrated success taking platform or infrastructure products from concept to market, including driving architectural decisions, POCs, and production launches at scale.\n\n - Deep understanding of distributed systems, containerization, orchestration frameworks, data processing pipelines, and large-scale SaaS infrastructure, with the ability to guide complex architectural decisions.\n\n - A product-oriented mindset, skilled at balancing technical excellence, operational reliability, customer impact, and speed to market.\n\n - Exceptional leadership and collaboration skills—experienced in managing managers, aligning cross-functional teams, and partnering effectively with Product, Engineering, and GTM stakeholders.\n\n - Excellent analytical, communication, and problem-solving abilities—capable of translating complex platform engineering concepts into clear, actionable direction for teams and stakeholders.\n\n - High degree of initiative and ownership; creative, detail-oriented, and results-driven.\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).\n\n\n\nRe","salary_min":280000,"salary_max":315000,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","security","api-design","data-pipeline","cloud","platform"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/f7103c0e-facd-4717-a053-7409bfde8e12/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T18:44:41.951Z","expires_at":"2026-06-29T14:06:11.995111Z","created_at":"2026-05-27T14:06:31.136941Z","updated_at":"2026-05-30T14:06:12.10171Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dbd36041-3bad-498f-a60f-33baa7773cb6"},{"id":"a00332f9-4713-46fa-987e-008c7a77a574","company_id":"4bc4e268-7a05-4a65-a162-1688af546f7e","title":"Principal Engineer, AI Platform","slug":"principal-engineer-ai-platform-4d186ca2","description":"WHAT MAKES US EPIC?\n At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.\n Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.\n \n ONLINE INFRASTRUCTURE\n What We Do \n We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world.\n What You'll Do \n Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build the foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems.\n Behind the products is an engineering organization that operates at rare scale: real-time infrastructure for hundreds of millions of players, a game engine used across film, architecture, and automotive industries, and a platform ecosystem that lets indie developers ship games to every major device on Earth.\n Our AI Platform team is building the next layer of that infrastructure — an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not a research group and we're not deploying off-the-shelf tools. We're architecting and building production systems from the ground up, across six interconnected platforms:\n \n AI Agent Orchestration — multi-tenant platform for team AI agents that live and collaborate in Slack channels, Source Control, etc.\n EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale\n AI MCP Gateway — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration\n Non Human Identity Management — agent identity, credential vault, and authorization for non-human workloads\n Centralized AI Knowledge Base — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization\n Roost — cryptographically signed software distribution and the Claude Code plugin marketplace\n \n This is foundational work that will define how AI is used inside Epic for the next decade. The scale is real, the problems are hard, and the team is small enough that every engineer makes a decisive architectural impact.\n As a Principal Engineer on the AI Platform team, you'll own the technical direction of our agent infrastructure stack end to end. You'll set the architecture across the six platforms above, drive alignment between them, and personally solve the hardest distributed systems and security problems that emerge as the stack scales. You'll work across teams to ensure agent identity, tool governance, memory, and execution infrastructure are coherent, secure, and operable — and you'll mentor the engineers who build alongside you. This isn't a coordinator role. You'll write production code, design protocols, make the calls that determine how agents authenticate and what they're allowed to do, and be accountable for the reliability of systems that are actively used by Epic's engineering organization.\n In this role, you will \n \n Platform Architecture \u0026 Technical Leadership:\n \n Own the end-to-end technical architecture across Epic's AI Infrastructure Platforms — ensuring each platform is coherent with the others and that the integration seams are well-defined\n Drive architectural decisions for agent identity and workload authorization (SPIFFE/SPIRE, OIDC, token exchange, policy planes), translating security requirements into implementable designs\n Establish the patterns for how AI agents authenticate, receive credentials, execute tools, and are audited — and hold the bar for correctness across the stack\n Lead design reviews for new capabilities, evaluate build vs. buy decisions, and surface technical risk before it becomes production risk\n \n Distributed Systems \u0026 Infrastructure:\n \n Design and implement the Cluster API and provider abstractions for EMA — the layer that orchestrators depend on to launch, drive, and recover headless agent runs across Kubernetes, EC2, and other compute backends\n Evolve Epic's AI MCP Gateway plugin runtime (WASM, gRPC sidecar, subprocess multiplexer) and its gateway security posture as external tool surface are","salary_min":223199,"salary_max":327358,"location":"BLANK,BLANK,Multiple Locations","workplace":"onsite","job_type":"full-time","experience_level":"principal","tags":["api-design","security","llm","distributed-systems","embeddings","agents","microservices","platform"],"apply_url":"https://epicgames.com/careers/jobs/5996487004?gh_jid=5996487004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T14:21:35Z","expires_at":"2026-06-29T14:16:52.476987Z","created_at":"2026-05-27T14:17:40.950867Z","updated_at":"2026-05-30T14:16:52.589257Z","company_name":"Epic Games","company_slug":"epic-games","company_logo_url":"https://www.google.com/s2/favicons?domain=epicgames.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a00332f9-4713-46fa-987e-008c7a77a574"},{"id":"72fe58bb-8310-40d3-99bf-b58ddcb7c640","company_id":"8ad90b6d-bf79-48ab-8c9a-847327f0009f","title":"Senior Microwave Research Scientist","slug":"senior-microwave-research-scientist-afb5264a","description":"About IonQ:  \n IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.  \n Location: This role will work remote Travel:  25% travel Job ID:   1601 The Role: \n We are looking for a Senior Microwave Research Scientist. As a Senior Microwave Research Scientist, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. \n In this role, you will architect and refine cutting-edge microwave circuits for the electronic control of high-fidelity spin qubits. You’ll spearhead the integration of these circuits with advanced optical and electronic devices to push the boundaries of system-level performance. Your leadership will drive the end-to-end cycle from foundry fabrication to rigorous internal validation, ensuring world-class performance for our quantum hardware.\n Responsibilities:  \n \n Collaborate with architecture teams to translate system-level specifications into component-level design rules and performance metrics\n Design microwave circuits for electronic control of qubits, accounting for fabrication constraints, cryogenic compatibility, and system-level interactions\n Manage the end-to-end design layout and mask handoff process, partnering with foundries to fabricate devices at scale\n Lead internal validation efforts with test and measurement teams to ensure fabricated components meet target performance specifications\n \n Requirements: \n \n 10 + years of experience designing microwave devices \n MS in electrical engineering, physics, or a related field \n Experience leading cross-disciplinary teams within large projects\n \n Preferred Qualifications:  \n \n PhD in electrical engineering, physics or related field with 5+ years of experience\n Experience hiring and training new teams for research and development work\n Knowledge of cryogenic testing and operation\n Familiarity with architectures for distributed quantum computing, sensing, and networking\n \n The approximate base salary range for this position is $126,887 - $166,127 . The total compensation package includes base, bonus, and equity. \n Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity.  Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend.  Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. \n At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.   We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.\n \n US Technical Jobs.  The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions.  Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or","salary_min":126887,"salary_max":166127,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["security","cloud","fine-tuning","research"],"apply_url":"https://job-boards.greenhouse.io/ionq/jobs/5997260004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T21:33:02Z","expires_at":"2026-06-29T14:16:38.494377Z","created_at":"2026-05-16T14:17:22.997322Z","updated_at":"2026-05-30T14:16:38.609528Z","company_name":"IonQ","company_slug":"ionq","company_logo_url":"https://www.google.com/s2/favicons?domain=ionq.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/72fe58bb-8310-40d3-99bf-b58ddcb7c640"},{"id":"1ba3f061-ae42-40e0-ac56-4971d990cc25","company_id":"64071af6-a121-45a1-8ec4-2bada031ba1f","title":"Principal Security Engineer, Product \u0026 AI","slug":"principal-security-engineer-product-ai-ffd6eb12","description":"As Marqeta’s Principal Security Engineer you will serve as the technical lead across our security engineering function. This role combines three critical responsibilities: leading product security engineering across our payment platform, building our AI security program as we scale generative AI and ML capabilities, and providing security architecture oversight across enterprise and infrastructure security.\n Your primary focus will be product security and AI—threat modeling payment features, securing APIs, building genAI controls, and ensuring AI-powered capabilities ship securely. You'll also own the security architecture function and provide technical oversight for infrastructure security—endpoint protection, network security, VPN, and enterprise security controls—ensuring coherent security standards across everything we build and operate.\n You'll partner closely with Product Security, Infrastructure Security, and Security Operations teams and serve as the security voice in our Model Risk Office. This is an individual contributor role with mentoring responsibilities and broad technical influence across the security, engineering, and business technology organizations.\n We work Flexible First . This role can be performed remotely anywhere within the United States or from our Oakland office. We’d love for you to join us!\n You'll have the chance to:\n \n Lead product security engineering for our payment platform—owning threat modeling, security architecture review, secure SDLC practices, and API security across the engineering organization\n Help mature our AI security programdeveloping genAI controls, securing ML pipelines, and working alongside the Model Risk Office for model evaluations.\n Provide security architecture oversight across infrastructure and enterprise security—endpoint, network, VPN, and corporate security controls—ensuring technical standards are coherent across all security domains\n Shape how security engineering scales across the organization through tooling, frameworks, security champions engagement, and engineering partnerships\n \n The Impact You'll Have: \n Product Security:\n \n Conduct security architecture reviews and threat modeling for new product features, APIs, and service integrations across the payment platform\n Define and maintain secure development lifecycle practices including secure code review standards, API security patterns, and authentication/authorization frameworks\n Develop self-service security tooling and developer-facing guardrails that reduce friction while maintaining security posture\n \n AI Security:\n \n Lead security strategy and risk assessment for AI/ML systems including customer-facing AI products, fraud detection models, LLM integrations, and recommendation systems\n Build genAI security controls—prompt injection prevention, output filtering, model validation, and monitoring frameworks\n Perform security assessments of AI/ML model architectures, training pipelines, inference endpoints, and deployment infrastructure\n Evaluate and operationalize AI-powered security tools (e.g., AI-assisted code review, anomaly detection, automated threat intelligence) to improve security operations\n \n Enterprise \u0026 Infrastructure Security Oversight:\n \n Provide technical oversight for infrastructure security including endpoint protection, network security, VPN, and enterprise security controls\n Ensure coherent security architecture standards across product, cloud infrastructure, and corporate environments\n Drive technical decisions for security tooling and controls that span the full environment—from developer laptops to production infrastructure\n \n Across All Domains:\n \n Partner across Product Security, Infrastructure Security, and Security Operations teams as well as engineering, data science, and compliance\n Mentor security engineers and cross-functional teams, raising the organization's overall security engineering maturity\n Communicate security risks and strategy to executive and board-level audiences\n \n Who You Are: \n \n 10+ years of security engineering experience with demonstrated technical leadership across multiple security domains; or equivalent combination of education and experience\n Deep product security expertise: threat modeling, security architecture review, secure code review, API security, authentication/authorization design, and secure SDLC practices\n Experience with or strong interest in AI/ML security—understanding of risks including adversarial attacks, model poisoning, prompt injection, data privacy, and AI supply chain threats. We want someone who is genuinely excited about AI technology and wants to secure it, not just govern it\n Broad security fluency across infrastructure and enterprise security—endpoint protection, network security, identity, and cloud security—even if your deepest expertise is in application and product security\n Experience working in cloud-native environments (AWS preferred) with familiarity across AI/ML services (Bed","salary_min":256800,"salary_max":321000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"principal","tags":["llm","security","payments","rag","pytorch","tensorflow","cloud","generative-ai"],"apply_url":"https://job-boards.greenhouse.io/marqeta/jobs/7868953","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-14T21:10:44Z","expires_at":"2026-06-29T14:09:37.336666Z","created_at":"2026-05-15T14:10:42.844043Z","updated_at":"2026-05-30T14:09:37.448483Z","company_name":"Marqeta","company_slug":"marqeta","company_logo_url":"https://www.google.com/s2/favicons?domain=marqeta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1ba3f061-ae42-40e0-ac56-4971d990cc25"},{"id":"69c5a863-614a-4bab-b3b7-4f609f115f91","company_id":"58e2f194-9fd6-4eec-9052-1b2567bcf68a","title":"Lead Cloud Infrastructure Engineer / Site Reliability Engineer (SRE)","slug":"lead-cloud-infrastructure-engineer-site-reliability-engineer-sre-d097d4fe","description":"Be part of the team that defends the networks the world depends on \n Corelight defends the world’s most sensitive networks—from global commerce to national defense—quietly, relentlessly, and with resolve. As cyber threats grow faster and smarter, we serve as the trusted force behind network resilience, putting elite defense within reach.\n By transforming digital footprints from physical, virtual, and cloud networks into actionable insights, we empower defenders to illuminate blind spots and stay ahead of an evolving threat landscape. Built on open-source innovations and fueled by industry leading agentic AI technology, Corelight helps teams to detect advanced threats and close cases with unprecedented clarity and precision.\n As a   Lead Cloud Infrastructure Engineer / Site Reliability Engineer (SRE), you will ensure the stability, performance, and security of our Federal region’s cloud platform. You’ll manage infrastructure and operations with a focus on availability, latency, performance optimization, monitoring, incident response, and capacity planning. This role requires maintaining a FedRAMP-compliant environment and working closely with teams to meet the highest standards of security and compliance. \n We adopt an \"everything as code\" approach, leveraging automation and best practices to create an efficient, reliable, and scalable infrastructure. You will be instrumental in maintaining core infrastructure services that are robust, secure, and capable of processing high volumes of data seamlessly. \n The successful candidate must be a U.S. citizen and may need to perform work that the U.S. government has specified can only be carried out by a U.S. citizen on U.S. soil. \n Responsibilities \n \n Collaborate with software engineering teams to ensure the reliability, performance, and security of the Federal region’s infrastructure. \n Design, deploy, and scale AI/ML/LLM infrastructure across cloud platforms (AWS, Azure, or GCP) ensuring high reliability and performance. \n Manage and optimize Kubernetes environments (EKS, AKS, GKE) for AI services, data pipelines, and model operations. \n Build and automate end-to-end data and model pipelines for fine-tuning, inference, and RAG workloads using Terraform, Python, and CI/CD tooling. \n Utilize automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to streamline ML/LLM tasks across the Large Language Model lifecycle. \n Implement monitoring, observability, and reliability best practices using Prometheus, Grafana, ELK/EFK, Langfuse, and SLI/SLO/SLA frameworks. \n Participate in 24x7 on-call rotations, leading incident response, performance tuning, and cost optimization across SaaS Platform and production workloads \n Own infrastructure end to end, leading scaling initiatives, deployments, and automation, and providing technical leadership across the team \n \n Qualifications/Requirements: \n \n Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience. \n 8+ years in SRE, DevOps, Platform Engineering, MLOps, or Cloud Infrastructure roles. \n 4+ years of production experience with Kubernetes (EKS, GKE, AKS) and containerization tools like Docker. \n Strong programming skills in Python and proficiency in Zyphyrscript, Bash, Go, or PowerShell. \n Proficiency with Infrastructure-as-Code tools (Terraform, CloudFormation). \n Experience with Kubernetes Operators, Helm, GitOps (ArgoCD, Flux), or Service Mesh (Istio, Linkerd). \n Exposure to serverless compute (AWS Lambda, Azure Functions). \n Experience building or automating data and model pipelines for AI/ML/LLM workloads (e.g., RAG, fine-tuning, inference). \n Strong understanding of observability and monitoring using Prometheus, Grafana, ELK/EFK, Langfuse, or similar platforms. \n Familiarity with SLI/SLO/SLA practices, incident response, and reliability engineering in production environments. \n \n Preferred Qualifications (Nice to Have): \n \n Cloud certifications (AWS, Azure, or GCP – e.g., Solutions Architect, DevOps Engineer). \n Experience with agentic AI frameworks (CrewAI, LangGraph, AutoGen). \n Background in hybrid or on-prem AI deployments, including OpenShift or Rancher. \n Familiarity with configuration management (Ansible, Chef, Puppet). \n Contributions to open-source AI/ML, DevOps, or platform tooling. \n Experience with multimodal AI or model observability platforms (RAGAS, AgentOps, Langtrace), Distributed Tracing, OpenTelemetry. \n Knowledge of performance tuning, cost efficiency, or capacity planning for AI/LLM infrastructure. \n Understanding of security controls and FedRAMP compliance for cloud and various workloads. \n \n Additional Requirements \n Due to the criteria and security levels required for Corelight’s FedRAMP program, this position requires: \n \n U.S. citizenship at the time of hire. \n Residence within the contiguous United States. \n Willingness to undergo a Single Scope Background Investigation, if r","salary_min":172000,"salary_max":219000,"location":"North America","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["agents","fine-tuning","llm","rag","security","cloud","data-pipeline","mlops"],"apply_url":"https://boards.greenhouse.io/corelight/jobs/7894303?gh_jid=7894303","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-14T13:44:33Z","expires_at":"2026-06-29T14:15:46.857937Z","created_at":"2026-05-14T14:16:50.045025Z","updated_at":"2026-05-30T14:15:46.971814Z","company_name":"Corelight","company_slug":"corelight","company_logo_url":"https://www.google.com/s2/favicons?domain=corelight.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/69c5a863-614a-4bab-b3b7-4f609f115f91"},{"id":"62554c8c-517f-4e8d-a66b-71785e581a4d","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Software Engineer II, Messaging Security Products","slug":"software-engineer-ii-messaging-security-products-44902985","description":"About the Role\n Abnormal AI is seeking a Full Stack Software Engineer II to join our innovative team, working across the Messaging Security Products (MSP) division, including the Threat Visibility and Exploration Team (TREX) and the Adaptive Classifications Team (ACT). This role focuses on delivering a top-tier product experience by enhancing our core offerings in Email Security and threat visibility. The engineer will be responsible for building and maintaining comprehensive products, ensuring seamless integration from the database layer to the user interface, with a primary focus on back-end development and some front-end responsibilities (80% back end, 20% front end). \n The ideal candidate will have a strong background in full-stack development, possessing in-depth knowledge of both frontend and backend technologies. This position requires leveraging skills to improve visibility into detected threats, enabling SOC teams to intuitively search and filter threat data. Additionally, the role supports SOC workflow automation by developing tools such as the AI Security Mailbox and Detection 360. If you are passionate about creating effective cybersecurity solutions and enhancing user experiences, we invite you to apply and make a meaningful impact in the industry.\n What you will do \n \n Design and execute software projects that are crucial to Abnormal’s success, in collaboration with a team of engineers, through conception, design, implementation, launch, and operation\n Provide guidance and mentorship for junior members of the team \n Collaborate with Technical Program Managers, Product Managers, and GTM teams to implement, verify, and iterate on issues and requests from our customers\n Raise the standard of excellence in engineering by actively sharing knowledge within the team and engaging in professional development activities\n Hit the ground running by contributing to the team's work within the first two weeks\n \n Must Haves \n \n BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field\n 3+ years of industry experience designing \u0026 building fullstack software applications\n Experience with our stack: \n \n Expert in Python and/or Go skills\n Intermediate React, Redux, JS/Typescript\n \n Experience building features \u0026 components from scratch and operating them, balancing feature development work with operational tasks\n Open to following pre-established guidelines, coding practices, and conventions\n Experience working with distributed teams, proficient in asynchronous and written communication\n You’re growth-driven \u0026 looking to increase impact \u0026 responsibility over time\n You’re able to leverage AI Developer tools such as Copilot, Claude, or Cursor in your daily workflow\n \n Nice to Have \n \n Familiarity with our stack: AWS, K8s, Django, Postgres/MySQL, Prometheus\n Familiarity with AWS services and deployment practices.\n Experience working with LLM-powered tools and AI assistants\n Knowledge of containerization\n Experience with distributed systems\n \n #LI-PP1\n Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.\n Base salary range:\n $149,200 — $214,500 USD \n Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please  click here . If you would like more information on your EEO rights under the law, please  click here .","salary_min":149200,"salary_max":214500,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["cloud","code-generation","distributed-systems","security","llm","fine-tuning"],"apply_url":"https://abnormal.ai/careers/jobs/7733425003?gh_jid=7733425003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-14T13:17:24Z","expires_at":"2026-06-29T14:03:48.307833Z","created_at":"2026-05-14T14:04:25.620044Z","updated_at":"2026-05-30T14:03:48.427996Z","company_name":"Abnormal Security","company_slug":"abnormal-security","company_logo_url":"https://www.google.com/s2/favicons?domain=abnormalsecurity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/62554c8c-517f-4e8d-a66b-71785e581a4d"},{"id":"4837747f-1516-46d0-bfe4-73d65443b1ed","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Infrastructure Security Engineer","slug":"staff-infrastructure-security-engineer-38f14b70","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nSome of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time.\n\nSecurity is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build.\n\nAs a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on.This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security.\n\nOur security program at Harvey is driven by our collective offensive security experience: breaking into systems at other companies (in white-hat capacities), responding to real security incidents, and learning from other companies’ data breaches. We regularly conduct penetration tests and red team exercises. At the same time, we are all software engineers - contributing code daily and approaching security with an engineering-first mindset.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Incorporate secure design principles into our cloud architecture.\n\n - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team\n\n - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC)\n\n - Audit our existing cloud environment for vulnerabilities\n\n - Develop policies and procedures for the secure creation and operation of our cloud environments\n\n - Define Harvey’s infrastructure security architecture and multi-year roadmap, translating security requirements into concrete engineering investments\n\n - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default\n\n - Mentor and develop other security engineers on the team, raising the overall technical bar\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 8+ years experience in Security Engineering, Software Engineering, or Site Reliability Engineering roles\n\n - Demonstrated experience writing high-quality software and building production-grade infrastructure and raising the quality bar of engineering teams\n\n - Strong fundamentals in networking, operating systems, and cryptographic protocols\n\n - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors\n\n - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments\n\n - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud)\n\n - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams\n\n - Experience setting security standards and best practices at an organizational scale\n\n - (No experience with generative AI or legal required)\n\n\nBONUS\n\n - Familiarity with large-scale Infrastructure as Code (IaC) deployments\n\n - Familiarity with Kubernetes Admission Controllers and policy enforcement\n\n - Exposure to multi-cloud environments\n\n\n\n\n\n\nC","salary_min":220000,"salary_max":330000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["agents","security","generative-ai","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/harvey/5fff8490-5b85-4aa8-9401-179be3d23141/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T14:53:11.75Z","expires_at":"2026-06-29T14:02:09.49678Z","created_at":"2026-05-14T14:02:43.587372Z","updated_at":"2026-05-30T14:02:09.613747Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4837747f-1516-46d0-bfe4-73d65443b1ed"},{"id":"e0dbbe9b-0a8f-4b1c-837c-4aeb96add787","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Cloud Security Engineer","slug":"cloud-security-engineer-66aeff51","description":"About Glean: \n  \n Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. \n  \n At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. \n  \n Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. \n  \n If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. \n  \n About the Role: \n Glean is seeking a highly skilled and motivated Cloud Security Engineer to join our team. In this role, you will play a crucial part in architecting and securing the cloud infrastructure of our organization, with a focus on Amazon Web Services (AWS) and Azure. You will be responsible for identifying security gaps, designing solutions, and utilizing cloud-native technologies to enhance our security posture. Additionally, you will be expected to develop security-specific features related to authentication, authorization, and audit logging (AAA), and contribute to the overall security strategy of the organization. \n You will: \n \n Collaborate with cross-functional teams to design and architect secure cloud infrastructure solutions on AWS and Azure. \n Identify potential security vulnerabilities and gaps in existing infrastructure and propose remediation plans. \n Implement cloud-native security technologies and best practices to address identified gaps. \n Analyze security logs and metrics to proactively detect and respond to security incidents. \n Develop and deploy security controls, such as identity and access management (IAM), network security policies, and encryption mechanisms. \n Leverage software engineering skills to create security-specific features, particularly in the areas of authentication, authorization, and rate limiting. \n Create documentation and train and guide team members and other stakeholders on security best practices. \n \n About you: \n \n Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent work experience). \n Strong software engineering skills, with proficiency in at least one programming language (e.g., Python, Go, Java). \n Experience with cloud platforms, preferably AWS of Azure, and a willingness to become proficient in both. \n Familiarity with cloud-native security tools and services (e.g., AWS IAM, GCP Identity and Access Management, VPC security). \n Knowledge of authentication and authorization protocols and technologies (e.g., OAuth, OpenID Connect). \n Strong problem-solving skills and the ability to work independently and collaboratively. \n Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. \n Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must \n A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features \n Familiarity with cloud native development practices in AWS/Azure is a plus \n \n Location:   \n \n This role is remote within the US \n \n Compensation \u0026 Benefits: \n The standard base salary range for this position is $153,000 - $238,000 annually. Compensation offered will be determined by factors such ","salary_min":153000,"salary_max":238000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["security","llm","cloud","agents"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4694835005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T23:18:41Z","expires_at":"2026-06-29T14:03:12.456422Z","created_at":"2026-05-14T14:03:49.456826Z","updated_at":"2026-05-30T14:03:12.567167Z","company_name":"Glean","company_slug":"glean","company_logo_url":"https://www.google.com/s2/favicons?domain=glean.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e0dbbe9b-0a8f-4b1c-837c-4aeb96add787"},{"id":"8225e4ff-3f6e-49b4-b89a-cd2fea6d68c4","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Application Security Engineer","slug":"application-security-engineer-62d364f6","description":"About Glean: \n  \n Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. \n  \n At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. \n  \n Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. \n  \n If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. \n  \n About the Role: \n Glean is looking for an experienced Application Security Engineer with a primary focus on ensuring that our entire technology stack is free of software vulnerabilities (CVEs). This role is responsible for securing our base OS images, ensuring all open-source software (OSS) dependencies are scanned and patched, and integrating cutting-edge security tools into our CI/CD pipeline. The ideal candidate will drive the adoption of solutions like Google’s Assured Open Source Software (OSS) and explore alternative approaches to enhance software security. This role will lead the vulnerability management charter at Glean, identifying, evaluating, and implementing new security technologies and processes to proactively protect our infrastructure. \n You will: \n \n Own and lead the vulnerability management lifecycle, ensuring our entire tech stack is free from known CVEs. \n Implement and manage secure base OS images, ensuring all underlying systems remain hardened against security threats. \n Continuously scan, monitor, and patch OSS dependencies to mitigate supply chain risks and enforce best practices for dependency management. \n Research and evaluate trusted open-source security solutions like Google’s Assured Open Source Software and recommend their adoption where applicable. \n Work closely with engineering teams to integrate state-of-the-art SAST, DAST, and dependency scanning tools into the CI/CD pipeline to detect and remediate vulnerabilities early. \n Define and maintain best practices for secure coding to ensure all code developed by Glean engineers is free from vulnerabilities. \n Develop automated security validation tests to enforce vulnerability-free deployments across the stack. \n Lead the adoption and, if necessary, develop custom security solutions to manage and mitigate security risks at scale. \n Provide security guidance, training, and mentorship to engineering teams to foster a security-first culture at Glean. \n \n About you: \n \n BA/BS in Computer Science, Cybersecurity, or a related field (or equivalent industry experience). \n 5+ years of experience in application security and vulnerability management. \n Deep understanding of software security vulnerabilities, including CVEs, OWASP Top 10, and supply chain risks. \n Experience with SAST, DAST, dependency scanning, and vulnerability management tools (e.g., Snyk, GitHub Dependabot, Trivy, Clair, Burp Suite, OWASP ZAP). \n Strong familiarity with package managers (npm, pip, Maven, Go modules) and securing open-source dependencies. \n Coding experience in languages such as Go, Python, Java, or C++ to develop security test cases and tooling. \n Hands-on experience with cloud-native security best practices across AWS, GCP, or Azure. \n Knowledge of container security, Kubernetes security, and securing microservices architectures. \n Ability to lead cross-function","salary_min":153000,"salary_max":238000,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["agents","security","microservices","llm","cloud"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4694831005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T23:03:45Z","expires_at":"2026-06-29T14:03:12.045036Z","created_at":"2026-05-14T14:03:48.826496Z","updated_at":"2026-05-30T14:03:12.164276Z","company_name":"Glean","company_slug":"glean","company_logo_url":"https://www.google.com/s2/favicons?domain=glean.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8225e4ff-3f6e-49b4-b89a-cd2fea6d68c4"},{"id":"70408082-c007-4e14-a18e-23bc2e79271f","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Security Architect, Agentic AI","slug":"security-architect-agentic-ai-0de11484","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n We are looking for an Agentic AI - Architect/Security Engineer to join our Exposure Management \u0026 Security Operations team. This is a fully remote U.S. role, reporting to the VP, Information Security Engineering.\n We’re looking for a hands-on Security Architect/Engineer to build and ship security capabilities for agentic AI systems—LLM apps that plan, use tools, manage memory, and leverage enterprise data. This is an implementation-focused role where you will deliver production code, secure building blocks, and reference implementations for both IT and Product teams.\n What you’ll do (Role Expectations) \n \n Build secure agent runtimes, libraries, and reference implementations while implementing core agent patterns like planner/executor, tool routing, and RAG boundaries\n Build and secure MCP servers, clients, tool registries, and connector patterns with robust authentication, authorization, and audit logging\n Enforce secure-by-default controls including schema validation, tool allowlists, redaction, and policy checks\n Threat model and test agent workflows for prompt injection and data exfiltration to build repeatable security evaluations\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity and are comfortable building the path as you walk it, seeing uncertainty as the raw material to build something meaningful.\n You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between strategy and hands-on execution.\n You are a problem-solver who seeks out challenges and is energized by finding solutions that deliver the biggest impact.\n You are a high-trust collaborator who is ambitious for the team and embraces a challenge culture through candid, respectful feedback.\n You operate with urgency and understand that speed and quality are not mutually exclusive in a high-growth environment.\n \n What We’re Looking for (Minimum Qualifications) \n \n Extensive experience designing and implementing agent runtimes including planning, tool calling, and memory/state controls\n 8+ years of experience shipping production security engineering solutions with strong coding skills in Python, TypeScript, or Node\n Practical experience integrating frontier model APIs with structured outputs, streaming, and safety controls\n Familiarity with agent frameworks such as LangGraph, LangChain, or Semantic Kernel and the ability to extend them securely\n Solid experience in cloud security for AWS, GCP, or Azure along with Kubernetes security and Infrastructure as Code\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Familiarity with OWASP LLM Top 10, MITRE ATLAS, or the NIST AI RMF\n Experience building red-team style testing or evaluation harnesses for LLM applications and agents\n Strong background in data security for RAG, including retrieval authorization and tenancy boundaries\n \n #LI-Remote #LI-JM1\n Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.\n The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.\n Base Pay Range\n $182,000 — $260,000 USD \n At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive e","salary_min":182000,"salary_max":260000,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["security","llm","cloud","data-pipeline","rag","agents"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5132492007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T21:21:24Z","expires_at":"2026-06-29T14:09:18.90559Z","created_at":"2026-05-14T14:10:25.158537Z","updated_at":"2026-05-30T14:09:19.023757Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/70408082-c007-4e14-a18e-23bc2e79271f"},{"id":"fab9d920-5bca-4369-9f94-ebd36718ac5e","company_id":"4c0fefc3-173a-4227-a823-4d67d3e70ff0","title":"Infrastructure Engineer ","slug":"infrastructure-engineer-54ff7957","description":"Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.\n Our base salary range is $100,080 - $150,120, and in addition we have generous bonus plans to provide a competitive compensation package. \n Who You Are: \n Are you a strong coder who loves automating systems so you only need to do anything just once? Are you motivated by the idea of working for a non-profit that’s working on AI for the common good?  If so, our infrastructure team is seeking an Infrastructure Engineer who thrives both independently and as part of a collaborative team. In this role, you’ll work closely with our IT  help desk team to identify opportunities for automation to keep our company running smoothly. If you enjoy taking initiative, learning on the fly, and making a real impact, we want you on our team.\n Who We Are:  \n At Ai2, you'll be joining a team of top AI researchers and talented engineers who are pushing the boundaries of what's possible. We have projects spanning natural language processing, robotics, artificial assistants, and fully open foundational models.  \n As an Infrastructure Engineer, you'll be a key part of our IT team, with a unique opportunity to build core infrastructure that supports all of our groundbreaking initiatives. If you join our team, you will help us invest in automated systems so we can continue to grow our impact while maintaining consistency across the company.\n We have a beautiful new office right across from Lake Union in Seattle; catered lunches five times a week; great pay and benefits; smart, friendly, and helpful coworkers; and even a couple of kayaks and paddleboards you can take out on sunny days.\n Your Next Challenge: \n The Infrastructure engineer will fill a critical role on the IT team, identifying and building pipelines that keep the whole company running smoothly.\n The essential functions include, but are not limited to, the following:\n Integrating software subscriptions with Okta for seamless user management \n \n Creating terraform configurations to for consistent management of GCP and AWS\n Building and deploying software that monitors for security vulnerabilities\n Investing in infrastructure to aggregate costs across all our services into a consistent format\n Deploying automation to audit user access across all of our software subscriptions\n Building and maintaining an automated pipeline for managing people, their accounts, and permissions\n \n Troubleshooting, documenting, and maintaining our internal systems \n \n Developing incident response automation, including auto-remediation workflows for common alerts\n Implementing backup and disaster recovery automation across critical systems and data stores\n \n What You’ll Need: \n \n Excellent communication, customer service, and problem-solving skills\n 5+ years of experience in IT or software development, with at least 3 years of experience focusing primarily on automation.\n Strong coding ability in a language such as Python\n Familiarity with using GitHub to organize code, and GitHub Actions for automation.\n Experience with specific IT automation tools, such as Terraform, Kandji/Iru, and Okta\n Experience administering and supporting major cloud providers such as AWS and Google Cloud\n Demonstrated knowledge of networking fundamentals\n Proven ability to collaborate with non-technical departments to translate business requirements into automated solutions\n Strong documentation experience with a focus on clear runbooks and end-user guides\n Familiarity with SAML and SCIM for identity and access management\n \n Bonus If You Have: \n \n A background in cybersecurity\n Hands on experience supporting security and compliance audits\n \n Physical Demands and Work Environment: \n The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.\n \n Must be able to remain in a stationary position for long periods of time. \n The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. \n The ability to observe details at close range.\n Can work under deadlines.\n \n A Little More About Ai2: \n Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.\n In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:\n \n We are a learning organization – because eve","salary_min":100080,"salary_max":150120,"location":"Seattle, WA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["security","healthcare","robotics","nlp","cloud","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/thealleninstitute/jobs/7902196","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T21:07:25Z","expires_at":"2026-06-29T14:16:42.679445Z","created_at":"2026-05-14T14:17:46.248785Z","updated_at":"2026-05-30T14:16:42.795036Z","company_name":"Allen Institute for AI","company_slug":"allen-institute-for-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=allenai.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fab9d920-5bca-4369-9f94-ebd36718ac5e"}],"page":1,"per_page":20,"total":462,"total_pages":24}