{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"f1d7c8a1-13ec-4993-82ef-aab2f525a8da","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Principal Safety Case Engineer","slug":"principal-safety-case-engineer-80fd5767","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 are looking for a Principal Safety Case Engineer to own the architecture, strategy and integrity of Wayve’s safety cases for our first products. This role sits independently from Engineering and Product and reports into Safety Management \u0026 Assurance, providing senior expert safety oversight while working closely with the teams responsible for designing, developing, validating and releasing the product.\n You will act as the architect of the safety case: defining the top-level claims, argumentation structure, evidence strategy and assurance approach that connect product intent, system behavior, AI performance, engineering controls, validation and operational deployment into a coherent safety argument. You will provide independent challenge and advice, while enabling Engineering and Product teams to own and deliver the safety evidence required for their systems.\n What You’ll Be Doing \n Safety Case Strategy \u0026 Architecture \n \n Own the safety case strategy and architecture for Wayve’s robotaxi and OEM ADAS products.\n Define top-level safety claims, argumentation, evidence structures, and traceability from safety requirements through validation and deployment decisions.\n Develop safety arguments appropriate for AI-enabled autonomous driving, incorporating functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety, and post-deployment monitoring.\n Evolve reusable safety case approaches as Wayve’s products, vehicle platforms, and evidence base mature.\n \n Product \u0026 Engineering Integration \n \n Partner with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware, and Operational Safety to define safety requirements and evidence expectations.\n Identify gaps, assumptions, and weaknesses in the safety argument early and drive resolution with accountable teams.\n Ensure product requirements, architecture, validation plans, and release criteria remain aligned with the safety case.\n Support technical and program leaders in making proportionate, evidence-based safety decisions.\n \n Independent Safety Assurance \n \n Provide independent technical challenge of safety cases and supporting evidence.\n Assess whether safety arguments are coherent, complete, evidence-backed, and sufficient to support release or deployment.\n Highlight material gaps, uncertainties, dependencies, residual risks, and safety red lines.\n Provide clear recommendations to safety governance forums and senior leadership.\n \n Safety Leadership \n \n Build a common understanding of safety case principles across Wayve.\n Coach engineering and product leaders on structured safety argumentation, evidence quality, and traceability.\n Represent the safety case perspective in internal governance, customer, and technical discussions.\n Contribute to Wayve’s broader safety strategy and assurance capability.\n \n About You \n Essential Experience \n \n Deep experience developing or owning safety cases for complex safety-critical systems, ideally in autonomous vehicles, ADAS, robotics, aerospace, defense, or another software-intensive domain.\n Strong systems engineering background spanning requirements, architecture, verification, validation, and safety assurance.\n Proven ability to translate complex technical evidence into structured safety claims and arguments.\n Strong understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty, and limitations of conventional verification approaches.\n Experience partnering with AI/ML, engineering, systems, and product teams on safety-critical products.\n Strong knowledge of relevant standards, including ISO 26262, ISO 21448, ISO/PAS 8800, and ISO 3450x.\n Excellent technical communication and stakeholder management skills.\n \n Desirable \n \n Safety case experience with L2+/L3 ADAS or L4 ADS products.\n Experience with GSN or equivalent structured assurance methods.\n Safety evidence experience for end-to-end or foundation-model-based","salary_min":290000,"salary_max":426300,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["alignment","security","generative-ai","autonomous-vehicles","robotics"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8761943002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-31T02:31:33Z","expires_at":"2026-09-30T13:44:05.516181Z","created_at":"2026-08-31T13:44:05.626939Z","updated_at":"2026-08-31T13:44:05.626939Z","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/f1d7c8a1-13ec-4993-82ef-aab2f525a8da"},{"id":"4ab10eb7-b0f8-4543-87e5-430128653c2a","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Lead, Cyber Harms","slug":"safeguards-enforcement-lead-cyber-harms-3ea20726","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 the role\n As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy. \n Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.\n Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.\n Key responsibilities\n \n \n Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy \n \n Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations\n \n Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases\n \n Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios\n \n Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations.\n \n Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions\n \n Minimum qualifications\n \n \n Experience as a people manager\n \n Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research\n \n Experience performing content review, abuse investigations, or policy enforcement at volume\n \n Proficiency in SQL and/or Python for data analysis and threat detection\n \n Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams\n \n Experience working with generative AI products, including writing effective prompts for content review and enforcement\n \n Preferred qualifications\n \n \n Experience in trust \u0026 safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company\n \n Experience with large language models and an understanding of how AI technology could be misused for cyber operations\n \n Experience operating within abuse monitoring programs or enforcement review systems\n \n Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space\n \n Experience working with government agencies, regulated environments, or information sharing communities\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 $285,000 — $330,000 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 able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit a","salary_min":285000,"salary_max":330000,"location":"Washington, DC","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["generative-ai","security","llm","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5403775008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-29T02:52:00Z","expires_at":"2026-09-30T13:30:35.120458Z","created_at":"2026-08-29T13:30:34.116902Z","updated_at":"2026-08-31T13:30:35.247353Z","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/4ab10eb7-b0f8-4543-87e5-430128653c2a"},{"id":"0c54ead2-210d-4e05-a166-bb1121ab4f00","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Software Engineer, Back-End (Pentest Platform)","slug":"software-engineer-back-end-pentest-platform-742ace88","description":"Get to Know Us\n\nHorizon3 http://Horizon3.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\nAs a remote first company, we require minimum 25Mbps consumer grade broadband connection.\n\n\n\n\nWHAT YOU'LL DO\n\nThe Pentest Data Platform team owns how NodeZero turns raw pentest telemetry into the findings, attack paths, reports, and insights our customers act on. As Horizon3 has grown in both customer count and customer size. Our team is taking on the largest architectural change in Horizon3's history: a ground-up rework of pentest data processing from a batch system into a real-time, event-driven microservice architecture.\n\nWe're laying the foundation to make Horizon3 best-in-class for enterprise pentests at scale — handling hundreds of thousands of hosts and streaming findings as they're discovered. Customers go from waiting weeks for insights to getting them in hours, fundamentally transforming how the entire product suite feels to use.\n\nThis work demands platform engineering to build the infrastructure foundation, paired with deep cybersecurity domain understanding to translate years of batch-centric business logic into real-time processing. As a Senior Engineer on this team, you will be one of the people we trust to own a hard piece of that rework end to end.\n\n\n\nIn this role, you will:\n\n - Design, build, and operate event-driven services that process pentest data in real time event streaming, stream processing, storage, schema evolution, and replayable processing.\n\n - Take ambiguous, high-impact problems from \"we need to solve this\" through design, implementation, rollout, and long-term operation, without needing the path drawn for you.\n\n - Help solve challenges around converting large per-pentest datasets, and converting that to a cohesive story over time. Tackling challenging problems such as understanding when two hosts are the same even with different IP addresses.\n\n - Translate existing batch-era logic — finding enrichment, attack path analysis, host and identity correlation, reporting — into streaming-friendly designs without regressing fidelity.\n\n - Solve genuinely hard distributed systems problems at scale: breaking out a half-decade hold monolithic data-storage for an engineering org that is rapidly growing in both scale of customers and number of engineering teams.\n\n - Set a high bar for operational excellence — SLOs, instrumentation, alerting, on-call, and incident response, as this system becomes central to every pentest Horizon3 runs.\n\n - Raise the technical bar around you through design reviews, technical writing, clear API contracts with neighboring teams, and durable decision records. Interface with other platform teams and attack-engineering teams.\n\n\n\n\nREQUIRED EDUCATION/EXPERIENCE\n\n - Minimum of 4+ years of experience in software engineering or a similar role.\n\n - Proficiency in Python and/or Go, including experience with large-scale codebases.\n\n - Production experience with relational databases (PostgreSQL) — schema design, migrations, and query performance at scale.\n\n - Experience building and operating services in AWS or a comparable cloud, with containers and orchestration (Docker, Kubernetes).\n\n - Hands-on experience with observability tooling (Datadog, OpenTelemetry, or similar) in production.\n\n - Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.\n\n\n\n\nDESIRED SKILLS\n\n - Production experience with event-driven architectures or streaming platforms (Kafka, Kinesis, Flink, or similar)\n\n - Experience with designing distributed systems at scale, AWS a bonus.\n\n - Experience migrating a meaningful system from batch to streaming, or decomposing a monolith into services, while it stayed live for customers.\n\n - Graph database experience (Neo4j) and graph data modeling and SQL.\n\n - Background in cybersecurity, pen","salary_min":199750,"salary_max":235000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","cloud","security","microservices","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/7ba09c64-7d14-43c1-9f0a-fcf2d8449857/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T15:24:01.299Z","expires_at":"2026-09-30T13:36:54.344033Z","created_at":"2026-08-29T13:37:07.759091Z","updated_at":"2026-08-31T13:36:54.470461Z","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/0c54ead2-210d-4e05-a166-bb1121ab4f00"},{"id":"b2c3d4fa-c55a-4ca0-9c02-5d32a97603c5","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Application Security Engineer","slug":"application-security-engineer-d3e8580e","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 the vulnerability management lifecycle across Glean’s technology stack, from discovery and prioritization through remediation, reporting, and measurement. \n \n Harden base OS images and secure open-source dependencies, package managers, and the broader software supply chain. \n \n Integrate SAST, DAST, dependency scanning, and automated security validation into CI/CD pipelines. \n \n Evaluate, adopt, and develop security solutions and tooling, including Google’s Assured OSS and comparable approaches. \n \n Define secure-coding practices and drive engineering adoption through guidance, training, and mentorship. \n \n About you: \n \n BA/BS in Computer Science, Cybersecurity, or a related field (or equivalent industry experience). \n 8+ 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 Hands-on experience with cloud-native security across AWS, GCP, including containers, Kubernetes, and microservices. \n Ability to lead cross-functional initiatives and drive security adoption across engineering teams. \n Proactive, pragmatic, and collaborative, with strong problem-solving skills and the ability to balance security with performance and usability. \n \n Location:  \n \n This role is remote \n \n Compensation \u0026 Benefits: \n The standard base salary range for this position is $185,000 - $260,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. \n We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement sti","salary_min":185000,"salary_max":260000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["security","microservices","cloud","agents","llm"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4728513005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:54:35Z","expires_at":"2026-09-30T13:34:07.964711Z","created_at":"2026-08-29T13:34:16.593931Z","updated_at":"2026-08-31T13:34:08.088277Z","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/b2c3d4fa-c55a-4ca0-9c02-5d32a97603c5"},{"id":"aaf7ec32-bbf7-4611-abc5-5e83434d9431","company_id":"63839083-85dd-4aa0-b128-254fc82866e5","title":"Applied AI Security Engineer","slug":"applied-ai-security-engineer-283a59d1","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows. That's a huge unlock, and it's moving fast. We're looking for someone to make sure it keeps moving fast safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second-guessing themselves. You'll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you've got a developer's instincts, a security mindset, and you're genuinely curious about what these tools can and can't be trusted to do, this role is built around you.\n \nYou will...\n- Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.\n- Design and implement layered guardrails - enterprise-level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user's request.\n- Maintain an inventory of both MCP servers and AI-to-service connections and their data access controls, with a clear model of what each one can access and why.\n- Partner directly with users across the organization to bake secure-by-default patterns into their AI-assisted workflows so that written policy doesn’t just sit on a shelf.\n- Evaluate new AI tools, plugins, and integration requests, and figure out the secure way to say yes.\n- Continuously test and red-team your own guardrails - assume they'll be pushed on, and find the gaps before someone else does.\n- Document guidance and patterns that a non-security audience can actually follow without needing a security background.\n \nQualifications:\n- Bachelor's degree in Computer Science or a related field.\n- Professional software development experience, with solid fundamentals in how services, APIs, and permissions fit together.\n- Hands-on experience using AI coding/productivity tools (Claude, Copilot, Gemini, or similar) in business-critical workflows.\n- Working knowledge of core security concepts — least privilege, sandboxing, trust boundaries, threat modeling basics.\n- Strong communication skills - you work with engineers as a partner.\n \nBonus:\n- Experience with MCP (Model Context Protocol) or similar tool-calling/agent-integration frameworks.\n- Exposure to prompt injection, jailbreaking, or other AI/LLM-specific attack techniques.\n- Background in autonomous vehicles, robotics, or other safety-critical systems\n \n \n","salary_min":118000,"salary_max":168000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["llm","security","robotics","autonomous-vehicles","code-generation"],"apply_url":"https://jobs.lever.co/waabi/c4559ea4-1912-4d77-a32c-1a32849e86a0/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T18:45:54.224Z","expires_at":"2026-09-30T13:36:20.061406Z","created_at":"2026-08-29T13:36:31.316177Z","updated_at":"2026-08-31T13:36:20.186048Z","company_name":"Waabi","company_slug":"waabi","company_logo_url":"https://www.google.com/s2/favicons?domain=waabi.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/aaf7ec32-bbf7-4611-abc5-5e83434d9431"},{"id":"0223cfe4-98fd-4376-8efe-3be62e75ecb8","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Engineer, Back-End (Security Controls)","slug":"senior-engineer-back-end-security-controls-b79d69e4","description":"Get to Know Us\n\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and 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 ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, 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\n\nROLE OVERVIEW:\n\nThe Senior Backend Engineer will join our world-class software engineering team as a key contributor to both user-facing product launches and platform enhancements and stability. You will own our security controls integration platform, abstracting the complexity of the EDR ecosystem from the rest of our system. Core responsibilities include developing per-vendor normalizers, building live API pipelines, defining internal schemas, and managing versioning, deprecations, fault tolerance, and integration health monitoring. You'll also collaborate with the broader backend engineering team on cross-cutting scale and reliability work.\n\n\n\n\nWHAT YOU’LL DO\n\nResponsibilities\n\n - Design and build dedicated normalizers per EDR vendor, with the testing rigor to keep them trustworthy as vendor APIs evolve\n\n - Develop core product features in ETL (Extract, Transform, Load) and GraphQL to support data processing and retrieval.\n\n - Design and implement backend APIs in GraphQL to facilitate data interactions between different components of the product.\n\n - Build and maintain ETL pipelines for efficient data processing and analytics.\n\n - Collaborate with frontend team members to present data in a clear and user-friendly format, enhancing the product's user experience.\n   \n\n\nWHAT YOU’LL BRING\n\n - Deep experience building and maintaining third-party API integrations at scale\n\n - Hands-on familiarity with EDR platforms and an understanding of how SOC teams consume EDR data\n\n - Driven, self-managed, capable of conceiving and implementing solutions on your own and with a team\n\n - A strong desire to continuously improve and learn new technologies in a fast-paced Agile development environment\n\n - Excellent analytical and problem-solving skills, effective communication, attention to detail and high-quality work\n\n - Strong technical documentation ability to support the development process.\n\n - Effective communication and collaboration with designers, developers, and product managers.\n\n - Ability and interest in mentoring junior and mid-level engineers to foster their growth and development.\n   \n\n\nREQUIRED EDUCATION / EXPERIENCE\n\n - Bachelor's Degree in Computer Science, Computer Engineering or related field.\n\n - 7+ yrs professional software engineering experience using modern object-oriented or functional languages (Python, Java, Go, Scala, C++, TypeScript, etc).\n\n - Experience building applications on cloud computing platforms such as AWS, Azure, GCP, using container technologies such as Docker and Kubernetes.\n\n - Expert proficiency in SQL.\n   \n\n\nPREFERRED EDUCATION/EXPERIENCE\n\n - Experience with various database architectures including relational (PostgreSQL) and graph (Neo4j).\n\n - Experience building GraphQL backends.\n\n - Experience managing and maintaining production infrastructure.\n\n - Experience building platform capabilities for internal teams.\n\n \n\nPerks of Horizon3\n\n - Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.\n\n - Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.\n\n - Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.\n\n - Hybrid \u0026 Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.\n\n - Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision \u0026 dental insurance for you and your family, a flexible vacation policy, and generous parental leave.\n\n\n\nCompensation and Values\n\nAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core va","salary_min":199750,"salary_max":270250,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","security","api-design","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/7305c82f-fddd-4e11-a539-34a401cc9cc5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T17:11:14.423Z","expires_at":"2026-09-30T13:36:53.772454Z","created_at":"2026-08-29T13:37:07.081074Z","updated_at":"2026-08-31T13:36:53.893243Z","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/0223cfe4-98fd-4376-8efe-3be62e75ecb8"},{"id":"7aa92365-6b3e-4f51-a168-2674aa7d8a06","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Data Infrastructure Engineer","slug":"senior-data-infrastructure-engineer-96f0f9f8","description":"Get to Know Us\n\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and 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 ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, 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\nWe are seeking a Senior Data Infrastructure Engineer to design, build, and own the data platform underneath our business-critical pipelines. Today the team supports account provisioning, product analytics, and the pipelines feeding our warehouse and Tableau reporting. You will help expand this into a globally deployed data platform spanning the warehouse, orchestration, and BI across multiple regions\n\nWhat You’ll Do\n\n - Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.\n\n - Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.\n\n - Help evaluate and shape our warehouse strategy, including lakehouse platforms such as Databricks.\n\n - Define and evolve event-driven contracts between producer and consumer teams, reasoning through batch vs. streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs.\n\n - Design and evolve warehouse schemas and data models.\n\n - Build observability into pipelines and platform components.\n\n - Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.\n\nWhat You’ll Bring\n\n - Strong software engineering craft: clean, correct, maintainable code with solid data-structure and problem-solving fundamentals.\n\n - Deep understanding of distributed systems and data architecture: pipeline and platform design, batch vs. streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability.\n\n - Fluent SQL and strong data-modeling skills, including designing schemas for a warehouse your team owns.\n\n - Experience owning production data infrastructure end to end.\n\n - Strong collaboration and ownership across dependent teams.\n\n - 7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering.\n\n - Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.\n\n\n\nRequired Tech Stack Experience\n\n - AWS data stack, including Glue and Spark.\n\n - Cloud data warehouse or lakehouse platforms such as Amazon Redshift or Databricks.\n\n - Tableau or a comparable BI platform.\n\n - SQL and Python.\n\n - Workflow orchestration tooling such as Apache Airflow or Dagster\n\n \n\nPerks of Horizon3\n\n - Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.\n\n - Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.\n\n - Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.\n\n - Hybrid \u0026 Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.\n\n - Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision \u0026 dental insurance for you and your family, a flexible vacation policy, and generous parental leave.\n\n\n\nCompensation and Values\n\nAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.\n\nIn accordance with various State’s transparency regulations, we provide the following salary range information for this position:\n\n - Base salary range: $202,190 - $237,870 annually. The exact salary will be determined based on","salary_min":202190,"salary_max":237870,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","cloud","data-pipeline","security","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/4651e6b3-a8b5-484f-ac87-5b6ca04581d1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T16:58:31.284Z","expires_at":"2026-09-30T13:36:53.960675Z","created_at":"2026-08-29T13:37:07.314282Z","updated_at":"2026-08-31T13:36:54.091144Z","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/7aa92365-6b3e-4f51-a168-2674aa7d8a06"},{"id":"f42e3d93-afff-4fd2-9053-59de318ca30d","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Software Engineer, Agentic Systems","slug":"senior-software-engineer-agentic-systems-0e617d76","description":"Get to Know Us\n\nHorizon3 http://Horizon3.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 NodeZero™ 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 ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, \"checkbox\" security culture, the 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\nSummary\n\nWe're building an autonomous, black-box web application penetration tester. It crawls and attacks real production websites the way a skilled human pentester would, finding broken access control, injection, XSS, SSRF, SSTI, and more, under a strict production-safe, no-false-positives mandate.\n\nWe have deep offensive expertise on this team: people who know exactly how to find and exploit these vulnerabilities by hand. What we need is an engineer who can turn that expertise into autonomous agent capability, the reasoning, orchestration, tooling, and evaluation that lets an LLM-driven agent do this work reliably, at scale, and unattended. You'd own and evolve the attack-agent layer: the part of the system that decides what to probe, forms and tests hypotheses, exploits, and verifies, without false positives and without touching anything it shouldn't.\n\nThis is a build role, not a research role. We use models surgically, deterministic-first, LLM-as-scalpel, and the hard problems are in engineering reliability, not chasing benchmarks.\n\n\n\nEssential Functions\n\n - Build and evolve the agent harness and orchestration that turns an LLM into a reliable autonomous pentester, the loop that reasons over an application, forms attack hypotheses, acts, and verifies results.\n\n - Design the tools and tool-shaped feedback the agent uses to probe and exploit, and the structured-output and validation layers that keep it reliable (e.g., hook-enforced mandatory validation, schema-constrained outputs).\n\n - Translate the team's offensive expertise into repeatable agent capabilities — partnering directly with our attackers to encode how they think into something the agent can do consistently.\n\n - Own and grow our evaluation infrastructure: benchmark suites, a failure-mode taxonomy across the pipeline (discovery → hypothesis → exploitation → verification), and regression detection, so we actually know whether the agent is getting better.\n\n - Manage LLM inference in production: model selection, prompt and context engineering, and keeping cost and latency under control (we run on AWS Bedrock with centralized cost tracking).\n\n - Hold the line on production-safety and no-false-positives, every finding the agent reports has to be real and reproducible.\n\n \n\nCompetencies/Requirements\n\n - 5+ years building production software, with strong Python.\n\n - Hands-on experience building LLM-powered applications or agents, tool use / function calling, structured outputs, multi-step orchestration, and the glue that makes it all hold together.\n\n - A track record of making LLMs reliable in production, you've wrestled nondeterminism, designed around model limitations, and shipped something that worked when it mattered.\n\n - Real experience with evaluation: you've built or owned the harness that tells you whether a model or agent change is an improvement, not just a vibe.\n\n - Strong instincts for prompt and context engineering, and the judgment to keep the model's job small and well-scoped.\n\n - Solid software fundamentals — testing, observability, and the discipline to keep a complex agent debuggable.\n\n - Ownership mentality, comfortable owning a critical, fast-moving subsystem end to end.\n\n \n\nDesired/Nice to Have\n\n - Working knowledge of web application security, broken access control, IDOR/BOLA, SQLi, XSS, SSRF, SSTI, enough to collaborate fluently with offensive engineers.\n\n - Experience building eval harnesses or benchmarks specifically for agents (synthetic environments, CVE-based test targets, capture-the-flag-style scoring).\n\n - Experience with agent frameworks, and strong opinions about when not to reach for one.\n\n - Familiarity with graph data models (e.g., Neo4j) for representing application state and attack context.\n\n \n\nWhat makes yo","salary_min":169000,"salary_max":208000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","cloud","security","fine-tuning"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/e36e9f43-c831-43ac-85b3-782b28bef222/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T20:45:13.382Z","expires_at":"2026-09-30T13:36:52.15671Z","created_at":"2026-06-28T14:06:08.698561Z","updated_at":"2026-08-31T13:36:52.279736Z","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/f42e3d93-afff-4fd2-9053-59de318ca30d"},{"id":"f7fa2437-cf0f-4a4e-bb75-c370abf38956","company_id":"92ecd7f4-44ad-4dc4-8fe8-0c4cab4fa5db","title":"Senior Security Engineer","slug":"senior-security-engineer-2fdfa5d7","description":"Jasper is the marketing agents platform, built to help enterprises orchestrate AI agents that execute marketing work at scale. Purpose-built for marketing teams, Jasper enables faster, more consistent execution across campaigns, personalization, localization, and compliance—while maintaining enterprise-grade control and governance.\n\nJasper is trusted by hundreds of enterprises worldwide, including Prudential, Cushman \u0026 Wakefield, and nearly 20% of the Fortune 500. Founded in 2021, Jasper has team members across the U.S., Australia, and France.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior Security Engineer at Jasper, you'll be the first true generalist on our Security Engineering team—someone equally comfortable securing and building AI agents and platforms as they are automating GRC controls or hardening cloud infrastructure. This role sits at the center of a fast-moving security function, partnering closely with Engineering, GRC, Product, and IT to protect the systems and AI products Jasper builds.\n\n\n\nYou'll set technical direction on AI security while still being hands-on across infrastructure, product security, and compliance engineering—a true jack-of-all-trades role that flexes across the full security spectrum as priorities shift. This is a force-multiplier position on a small team where your work will have outsized impact on how Jasper builds securely at scale.\n\n\n\nThis fully remote role reports to the Director, Security and is open to candidates located anywhere in the US.\n\n\n\n\nWHAT YOU WILL DO AT JASPER\n\n - Lead the security design, implementation, and controls for Jasper’s AI infrastructure and AI-powered internal workflows—building the guardrails that govern how AI systems access, process, and handle sensitive data at every layer\n\n - Own threat modeling for AI-specific risks, including the attack surfaces that don’t map cleanly onto traditional application security, and design controls for validating, logging, and auditing AI outputs where accuracy and data protection are non-negotiable\n\n - Build security tooling and automated checks that let internal teams adopt AI capabilities without slowing down\n\n - Collaborate, design, and influence the direction of the Security program at Jasper\n\n - Work with the GRC team to build and maintain GRC-related engineering—automating evidence collection, control monitoring, and compliance workflows (ie. via Vanta or similar) so the team spends less time on manual audit prep\n\n - Strengthen infrastructure security across GCP and AWS: identity and access management, network segmentation, secrets management, and secure-by-default infrastructure patterns\n\n - Own and improve GitHub security controls—branch protection, required reviews, secret scanning, dependency/SCA policies, and CI/CD pipeline security\n\n - Operate and tune Wiz (or equivalent CSPM/CNAPP tooling) to continuously identify and drive remediation of cloud misconfigurations and vulnerabilities\n\n - Use AI tools heavily in your own workflow (code review, triage, detection engineering, documentation) and help the broader security and engineering org do the same safely, while partnering cross-functionally with Engineering, Legal, Product, IT, and GRC to translate security and compliance requirements into practical, low-friction engineering solutions\n\n\n\n\nWHAT YOU WILL BRING TO JASPER\n\n - AI fluency—a working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance, etc.), applied in the context of security engineering, with demonstrated enthusiasm for using AI tools to work faster and more effectively day to day\n\n - 8+ years in security engineering, with hands-on experience across at least two of: AI/ML security, cloud infrastructure security, and/or GRC compliance engineering\n\n - Practical experience securing AI systems—LLM applications, agents, or ML pipelines—including familiarity with common AI-specific threats (prompt injection, data leakage, model abuse, insecure tool use)\n\n - Deep understanding of security principles, best practices, and common vulnerabilities, including strong security judgment under ambiguity\n\n - A proactive mindset, with the ability to identify, prioritize, and address security gaps or inefficiencies through automation and tooling\n\n - Expertise and curiosity about using frontier models and agents to effectively solve security challenges\n\n - Demonstrated ability to build security programs, processes, or standards from scratch rather than inheriting a mature playbook\n\n - Strong working knowledge of GCP and AWS security services and IAM models\n\n - Experience with GitHub security controls (branch protection, secret scanning, Actions/CI security) and secure software supply chain practices\n\n - Hands-on experience with Wiz or a comparable CSPM/CNAPP platform\n\n - Comfort building automation and tooling (scripting, APIs, infrastructure-as-code) rather than relying solely on point-and-click console work\n\n - Strong cross-functional c","salary_min":174250,"salary_max":205000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","security","code-generation","cloud","agents"],"apply_url":"https://jobs.ashbyhq.com/Jasper%20AI/f5a4a890-e544-4a85-bd45-f75ad40b0d35/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T20:11:04.163Z","expires_at":"2026-09-30T13:33:34.06959Z","created_at":"2026-08-27T13:33:28.60769Z","updated_at":"2026-08-31T13:33:34.197359Z","company_name":"Jasper AI","company_slug":"jasper-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=jasper.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f7fa2437-cf0f-4a4e-bb75-c370abf38956"},{"id":"896963d3-d6bb-4619-8398-538ac2eb09ca","company_id":"ed18bbda-3537-4b44-9295-c7b575fce0ff","title":"Staff Enterprise Security Engineer, AI Security","slug":"staff-enterprise-security-engineer-ai-security-9656605f","description":"Who we are  \n At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences.\n Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . \n Hiring and how we work \n We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! \n Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  . \n See yourself at Twilio \n Join the team as our next Staff Engineer, Enterprise Security \n About the job \n As a Staff Enterprise Security Engineer, you will be a technical leader within the EntSec team, responsible for the foundational security posture of our organization. You will serve as an SME on the technical strategy and engineering execution for securing the AI ecosystem in our Enterprise, moving beyond policy into building the foundational \"decision infrastructure\" and technical guardrails that allow the enterprise to innovate with AI at scale.\n You will also guide strategic direction and collaboration across enterprise security domains. You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems. Leveraging expertise in security assessments,  threat modeling, identity and access control principles, and data protection, you will architect and build preventative guardrails and mitigate new risks introduced by first and third-party AI agents in our Enterprise.\n Responsibilities \n \n Design and implement secure reference architectures for Enterprise AI platforms that secures every Twilion’s engagement with them, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats.\n Establish a definitive framework for AI vetting, driving the cultural and policy shifts needed to institutionalize this strategic mindset across the organization.\n Collaborate with cross functional partners to develop and set the long term roadmap for agentic AI identity and posture management, ensuring cohesive strategies for reducing risk from agentic AI use.\n Maintain and improve our enterprise security posture through high-quality code (Python, Go, or similar) and infrastructure management via IAC.\n Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape.\n \n Qualifications: \n Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. \n Required: \n \n 7+ years of experience in security engineering or infrastructure security\n 2+ years of experience leading teams in a technical capacity/staff engineering capacity at an enterprise.\n Expertise in cloud security (AWS, GCP) and container security (Kubernetes).\n Proven track record of designing and deploying complex security systems at scale.\n Strong proficiency in programming languages such as Python, Go, or Java.\n \n Desired: \n \n Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools.\n Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders.\n \n Location \n This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.\n Travel  \n We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.\n Compensation \n *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. \n . The estimated pay ranges for this role are as follows:\n \n Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400.\n Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area)","salary_min":182960,"salary_max":228700,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["payments","security","fine-tuning","agents"],"apply_url":"https://job-boards.greenhouse.io/twilio/jobs/8160279","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T19:25:54Z","expires_at":"2026-09-30T13:40:06.166533Z","created_at":"2026-08-29T13:40:25.23133Z","updated_at":"2026-08-31T13:40:06.291118Z","company_name":"Twilio","company_slug":"twilio","company_logo_url":"https://www.google.com/s2/favicons?domain=twilio.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/896963d3-d6bb-4619-8398-538ac2eb09ca"},{"id":"253c13f4-0eef-4662-ba68-c99e77924251","company_id":"adc4981a-d4ff-4939-952f-362f51e1291d","title":"Sr. Manager, Security Engineering","slug":"sr-manager-security-engineering-e11dfd0b","description":"Our Mission: \n 6sense's mission is to multiply what matters: growth, retention, and efficiency.  We envision a future where companies, teams and people reach their full potential.\n Our People: \n People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.  Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career. \n \n Senior Manager, Security Engineering\n Business Technology, Security \n REPORTING AREA\n Security - CISO\n FUNCTION\n Business Technology\n TEAM MODEL\n United States and India\n LEADERSHIP SCOPE\n Application/Product Security; Infrastructure/Cloud Security; Vulnerability Management\n ROLE TYPE\n Leader with technical depth\n ENVIRONMENT\n AI-first, cloud-native SaaS\n Role Purpose\n Lead the security engineering organization that protects 6sense's AI-enabled, cloud-native SaaS platform. This leader owns Vulnerability Operations, Infrastructure Security, and Application/Product Security, and is accountable for building scalable security capabilities that enable rapid product delivery without compromising customer trust, resilience, or compliance. The role leads a distributed team across the United States and India and combines strategic leadership with credible technical judgment.\n Leadership Mandate\n \n Build one integrated security engineering operating model across the three teams, with clear ownership, service expectations, priorities, and measurable outcomes.\n Partner with Product, Engineering, Cloud Infrastructure, Data, AI/ML, Security Operations, Privacy, GRC, and Enterprise Technology leaders to embed security into planning and delivery.\n Create an inclusive, high-accountability culture across time zones using clear decisions, durable documentation, effective handoffs, and intentional overlap for critical work.\n Balance hands-on technical engagement with people leadership, program ownership, stakeholder influence, and executive-level risk communication.\n \n Core Responsibilities\n 1. Organization and People Leadership\n \n Lead, coach, and develop managers and engineers across the United States and India. Establish role clarity, career paths, succession coverage, and consistent performance expectations.\n Create an operating cadence that supports asynchronous execution, reliable cross-region handoffs, rapid escalation, and shared accountability.\n Build workforce and capacity plans aligned to product growth, AI investment, risk, and business priorities.\n Foster a culture of constructive challenge, disagree and commit, continuous learning, quality, and automation-first improvement.\n \n 2. AI and Product Security\n \n Own the security strategy for AI-enabled product capabilities from design through production, including threat modeling, architecture review, secure development standards, testing, monitoring, and release readiness.\n Address AI-specific risks such as prompt injection, insecure tool or agent access, sensitive-data exposure, model and data pipeline integrity, excessive agency, abuse, and third-party model or service dependencies.\n Partner with AI/ML, Product, and Engineering teams to define secure patterns for models, agents, retrieval-augmented generation, application programming interfaces, data access, and human approval controls.\n Advance product security practices including secure software development lifecycle controls, code and design review, application security testing, penetration testing, security champions, and coordinated vulnerability disclosure or bug bounty.\n \n 3. Vulnerability Operations\n \n Own end-to-end vulnerability discovery, prioritization, remediation governance, exception management, and validation across applications, cloud infrastructure, containers, endpoints, operating systems, and third-party components.\n Move beyond severity-only prioritization by incorporating exploitability, internet exposure, asset criticality, data sensitivity, available compensating controls, and active threat intelligence.\n Improve remediation speed and predictability through automation, clear service-level objectives, transparent ownership, and decision-ready reporting.\n Establish effective coverage for software supply chain risk, including open-source dependencies, build systems, artifacts, secrets, and continuous integration and delivery pipelines.\n \n 4. Infrastructure and Cloud Security\n \n Own preventive and detective security guardrails for the AWS environment, infrastructure as code, containers, identity and access, network boundaries, workloads, secrets, logging, and data services.\n Partner with Infrastructure and Platform Engineering to make secure cloud patterns easy to adopt and to reduce reliance on man","salary_min":204721,"salary_max":254258,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","alignment","llm","agents","data-pipeline","rag","security"],"apply_url":"https://boards.greenhouse.io/6sense/jobs/8139157?gh_jid=8139157","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T13:37:13Z","expires_at":"2026-09-30T13:41:37.052832Z","created_at":"2026-08-26T13:41:05.372167Z","updated_at":"2026-08-31T13:41:37.175952Z","company_name":"6sense","company_slug":"6sense","company_logo_url":"https://www.google.com/s2/favicons?domain=6sense.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/253c13f4-0eef-4662-ba68-c99e77924251"},{"id":"13e39632-e20e-4a70-9adf-0ae470f73696","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"SOC Analyst","slug":"soc-analyst-3d10dad5","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 NodeZero™ 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\nWe are seeking a skilled SOC Analyst to join our growing Security Operations team. This is a mid-level role for an analyst who has developed strong foundational skills in Security Information and Event Management (SIEM) and is ready to take ownership of monitoring, triage, and detection work with minimal day-to-day direction.\n\nWorking within one of our SOC shifts and reporting to the SOC Manager, you'll monitor the health and effectiveness of our SIEM platform (Elastic SIEM or equivalent) and support threat detection, log analytics, and incident response in a high-scale, cloud-native environment. As you grow, you'll take on more complex detections and investigations, contribute process improvements, and help onboard newer analysts.\n\nThis role is instrumental in helping us scale and mature our security detection and response capabilities while maintaining a strong security posture across the organization.\n\nThis role will be responsible for…..\n\n - Monitor, detect, and respond to security events across enterprise environments using the SIEM\n\n - Support log ingestion, parsing, and normalization, and monitor ingestion health across critical sources (AWS, Okta, endpoints, firewalls, SaaS), partnering with system owners to close telemetry gaps\n\n - Build and maintain dashboards, visualizations, and KPIs that demonstrate SIEM effectiveness and security visibility\n\n - Triage, investigate, and validate alerts, escalating confirmed or ambiguous incidents to a Senior Analyst or the SOC Manager with clear context\n\n - Tune and test detection rules (behavioral, heuristic, signature-based) to reduce false positives and improve fidelity\n\n - Use frameworks such as MITRE ATT\u0026CK to contextualize detections and identify coverage gaps\n\n - Analyze logs across cloud, endpoint, network, and application sources to surface anomalies and potential threats\n\n - Perform structured investigations and root cause analysis, providing attack-chain mapping and remediation guidance for escalated alerts\n\n - Follow and help refine response playbooks for common incident types (phishing, suspicious logins, endpoint malware, privilege escalation, cloud misconfiguration), documenting lessons learned to strengthen detection logic\n\n - Contribute to SOAR automation (e.g., Tines or similar) to reduce manual toil and improve mean time to detect (MTTD) and respond (MTTR)\n\n - Use LLM/AI-assisted tooling to speed up triage, log summarization, and investigation enrichment, and contribute to SOC AI agent and automation workflows,   verifying model output before acting on it\n\n - Participate in proactive threat hunting and contribute to weekly and monthly reporting on threat trends, false-positive reduction, and detection efficacy\n\n - Communicate clearly with shift peers and stakeholders, and,   as you progress toward P3,   help train and onboard more junior analysts\n\n - Demonstrate a commitment to integrity, process improvement, and customer satisfaction\n\n\n\n\nWHAT YOU'LL BRING\n\n - Must have hands-on SOC or security-analyst experience spanning SIEM monitoring, alert triage, detection tuning, and incident response\n\n - Must have working experience with an enterprise SIEM such as Elastic SIEM (preferred), Splunk, Microsoft Sentinel, QRadar, or similar\n\n - Must have a solid grasp of log analysis, security telemetry, and event correlation\n\n - Must have proficiency with detection-rule authoring and query languages (KQL, Lucene, SPL) and scripting in Python, Bash, or PowerShell\n\n - Must have familiarity with at least one major cloud (AWS, GCP, or Azure) and its security tooling\n\n - Must have working knowledge of MITRE ATT\u0026CK, NIST, and CIS\n\n - Must have practical familiarity with using LLMs / AI assistants at work,   including effective prompting, grounding re","salary_min":123850,"salary_max":161000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["agents","cloud","security","llm"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/2fc84029-d765-4f41-a998-1d43ef1d2aba/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T16:50:56.171Z","expires_at":"2026-09-30T13:36:53.866072Z","created_at":"2026-08-25T18:28:01.244454Z","updated_at":"2026-08-31T13:36:53.991731Z","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/13e39632-e20e-4a70-9adf-0ae470f73696"},{"id":"30b225f4-4652-4168-a97b-c7af2308a23d","company_id":"e8dfc4ee-9649-4fd0-9c16-90d38a1954e1","title":"Staff Security Engineer, Proactive Security - AI","slug":"staff-security-engineer-proactive-security-ai-de8a9beb","description":"About the Team \n At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Security Engineering is paramount to the success of our business, and DoorDash Security aspires to be one the world’s most admired Security Engineering team. We are committed to building the world's most trusted on-demand, logistics engine for delivery! We're expanding our team of great minds to help us secure and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s multi-sided marketplace of consumers, merchants, and drivers.\n About the Role \n Our Proactive Security Engineering team is looking for a Staff Security Engineer, Proactive Security to execute on AI Security Product Engineering following a forward deployed engineering Pod model.\n You will be a part of our inclusive, collaborative forward deployed engineering team responsible for building “paved road” Security Product controls directly into our AI surfaces for our Customer, Merchant and Dasher products to ensure a safe, secure and resilient delivery network. This is not a classic Product Security role performing reviews and operating platform products, this is a forward deployed model where we operate in Pods that focus on domain code bases to build and ship AI Security Products including Hardened Product Agents, AI Guardrails, MCP Gateways and many upcoming AI Hardening initiatives. \n This is a US remote position reporting directly to the Manager of our Proactive Security Engineering team. \n You’re excited about this opportunity because you will… \n \n Co-lead the technical direction and roadmap for secure and responsible building of AI Security Products at DoorDash.\n Partner cross-functionally with Product Engineering, Legal, Security Engineering Platform, Data teams and XFN partners to build “paved road” proactive security controls that enable secure by design AI products into DoorDash eco-system. Examples of AI Security Products this team has built include Hardened Product Agents, AI Guardrails, MCP Gateways and many upcoming AI Hardening initiatives. \n Execute rigorous cross-brand AI enabled vulnerability discovery, multi-level harnesses and automated remediation to protect the company against Mythos-era equipped adversaries. \n Mentor and coach earlier career engineers, setting and enforcing exceptional standards for Operational Excellence and Software Engineering.\n \n We’re excited about you because… \n \n 10+ years of experience as a Security Product Engineer at an Internet scale organization of demonstrated technical leadership building outcomes at global scale.\n Master’s degree in Computer Science, Security Engineering, a related field or equivalent work experience.\n Embed with product teams to design, build, and deploy security controls for consumer, merchant, and Dasher products.\n Develop reusable “paved road” solutions that help teams build secure AI products by default.\n Partner with Product Engineering, Legal, Data, Security Platform, and other teams to translate security and regulatory requirements into practical engineering controls.\n Demonstrated technical leadership in designing scalable, AI enabled and ergonomic Security Review threat modeling.\n Hands-on experience securing LLM or agentic systems, or demonstrated ability to move quickly into the space from adjacent depth in authorization, sandboxing, or untrusted input handling.\n Demonstrated builder in one or more object oriented languages (e.g. Go, Java) designing technical Security Engineering controls and processes to meet business and regulatory requirements. \n Exceptional problem solving of complex, systemic issues that require audacious thinking, rigor and creativity.\n \n \n Exceptional analytical and investigative abilities with hands-on experience leading root cause analysis for security incidents and driving long term roadmaps to remediate.\n \n \n Exceptional verbal and written communication skills - you will confidently shape and lead the Security Product Engineering within your assigned AI Security domain across core engineering and product teams to security preserving control outcomes. \n \n Why You’ll Love Working at DoorDash \n \n We are leaders - Leadership is not limited to our management team. It’s something everyone at DoorDash embraces and embodies.\n We are doers - We believe the only way to predict the future is to build it. Creating solutions that will lead our company and our industry is what we do -- on every project, every day. \n We are learners - We’re not afraid to dig in and uncover the truth, even if it’s scary or inconvenient. Everyone here is continually learning on the job, no matter if we’ve been in a role for one year or one minute.\n We are customer-obsessed - Our mission is to grow and empower local economies. We are committed to our customers, merchants, and dashers and believe in connecting people with p","salary_min":193800,"salary_max":285000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","cloud","llm","security","healthcare","agents"],"apply_url":"https://job-boards.greenhouse.io/doordashusa/jobs/8154315","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T18:30:40Z","expires_at":"2026-09-30T13:50:33.58138Z","created_at":"2026-08-26T13:49:31.761186Z","updated_at":"2026-08-31T13:50:33.68834Z","company_name":"DoorDash","company_slug":"doordash","company_logo_url":"https://www.google.com/s2/favicons?domain=doordash.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/30b225f4-4652-4168-a97b-c7af2308a23d"},{"id":"2b134895-6896-457e-9a2f-dbf0bd63ac42","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Governance, Risk, and Compliance Manager - Privacy","slug":"governance-risk-and-compliance-manager-privacy-82633ce7","description":"About Decagon\n\nDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.\n\nOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.\n\nWe’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.\n\nWe’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.\n\n\n\n\nABOUT THE TEAM\n\nThe Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale.\n\nOur mission is to secure magical support experiences, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.\n\n\n\n\nABOUT THE ROLE\n\nJoin Decagon as a Governance, Risk, and Compliance Manager and play a critical role in securing customer trust as we scale to serve Fortune 500 and international enterprises. Working closely with the head of security and compliance, you'll be responsible for the day-to-day execution of our compliance program and customer security engagements. This is a high-impact role where you'll directly contribute to closing enterprise deals by efficiently managing security communications with customers, supporting compliance audits, and improving our security documentation. Perfect for someone who thrives in a high impact organization with attention to detail, excellent writing skills, and who wants to build expertise in enterprise AI compliance.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Improve and maintain the privacy program against ISO 27701, ISO 27018, HIPAA, GDPR, CCPA/CPRA and the wider set of US state laws.\n\n - Own Decagon's privacy program operations end to end: data inventory, DSAR intake and fulfillment, DPAs and cross-border transfer mechanisms, data retention schedule, subprocessor onboarding and our public subprocessor list, breach notification readiness, and company-wide privacy training.\n\n - Partner with legal team to improve existing programs on data residency, subprocessor flow-downs, retention by data class, DPIAs and transfer impact assessments, while owning and driving day-to-day decision.\n   \n   \n\n\nYOUR BACKGROUND LOOKS SOMETHING LIKE THIS\n\n - 5+ years of GRC experience in high-growth SaaS or technology companies, with direct responsibility for privacy compliance programs\n\n - Proven track record successfully contributing to SOC 2, ISO 27001, or similar enterprise compliance certifications\n\n - Experience in data privacy regulations including CCPA, GDPR, and emerging AI governance frameworks\n\n - Strong project management skills with ability to coordinate cross-functional teams under tight deadlines\n\n - Excellent written and verbal communication skills to translate complex security concepts for diverse audiences\n\n - Working knowledge of technical security controls and ability to collaborate effectively with engineering teams\n   \n   \n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience with AI/ML compliance frameworks and understanding of unique risks in conversational AI systems\n\n - Background in healthcare or financial services with knowledge of HIPAA or PCI requirements\n\n - Track record of building GRC programs at companies scaling from startup to enterprise\n\n - Experience with GRC platforms like Vanta, Drata, or SecureFrame to automate compliance workflows\n\n - Understanding of cloud security particularly Google Cloud Platform compliance and security features\n   \n   \n\n\nCOMPENSATION\n\n$190K – $275K + Offers Equity\n\n\n\nBenefits\n\nWe proudly offer the following benefits for our full-time employees:\n\n - Medical, Dental, and Vision benefits for you and your family\n\n - Life Insurance and Disability Benefits\n\n - Retirement Plan (e.g., 401K, pension)\n\n - Parental Leave\n\n - Fertility and family building benefits through Carrot\n\n - Monthly stipend to support your wellness, lifestyle, and work-life balance\n\n - Daily lunches and snacks in the office to keep you at your best\n\n - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)\n\nThese benefits are described in mor","salary_min":190000,"salary_max":275000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","security","healthcare","llm"],"apply_url":"https://jobs.ashbyhq.com/decagon/cc44f853-b96e-47f5-ae70-b9948eceaa4f/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T17:41:10.169Z","expires_at":"2026-09-30T13:38:01.546871Z","created_at":"2026-08-25T18:28:23.669444Z","updated_at":"2026-08-31T13:38:01.668086Z","company_name":"Decagon","company_slug":"decagon","company_logo_url":"https://www.google.com/s2/favicons?domain=decagon.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2b134895-6896-457e-9a2f-dbf0bd63ac42"},{"id":"771673d3-394b-4031-aa34-bedc52141830","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Senior Staff Security Engineer, AI Security ","slug":"senior-staff-security-engineer-ai-security-8578e51d","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 NY, the annual salary range for this position is below. Actual salaries may vary based","salary_min":224000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["code-generation","payments","llm","rag","agents","healthcare","security"],"apply_url":"https://ripple.com/careers/all-jobs/job/7961914?gh_jid=7961914","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T16:13:14Z","expires_at":"2026-09-30T13:43:18.482828Z","created_at":"2026-08-25T18:30:56.928499Z","updated_at":"2026-08-31T13:43:18.588256Z","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/771673d3-394b-4031-aa34-bedc52141830"},{"id":"159bc0f7-eda7-4229-ad58-4c05b7326801","company_id":"a0000000-0000-0000-0000-000000000001","title":"Security Engineer, Corporate Security","slug":"security-engineer-corporate-security-1f5d1dca","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 the role \n Corporate Security protects the environment Anthropic's people work in every day: their laptops and phones, their identities, the tools they collaborate in and the company data that flows through all of it. Everything that makes Claude what it is sits behind that environment. We keep company access on devices we manage, make those devices hard to compromise and right-size what any one of them can reach, while caring a great deal about the day-to-day experience of the people using them. The company is growing quickly and this team is growing with it, so we treat the work as an engineering discipline: controls as code and automation over queues, built to scale with headcount rather than strain against it.\n As a Security Engineer here you'll drive significant parts of that work end to end. You'll set technical direction and turn it into shipped tooling. When a control collides with someone's workflow, you'll find the path that keeps them moving without giving up the protection. You'll be handed problems rather than task lists and you'll find as many yourself: threat-modeling the environment to surface what matters, fixing it and bringing the evidence that shapes what the team prioritizes next. This is a senior, hands-on individual contributor role.\n Key responsibilities \n \n Drive endpoint hardening across macOS, Windows, Linux, and ChromeOS, including device management configuration, application allowlisting, patching, and browser policy, favoring controls that are versioned, reviewable, and repeatable over one-off configuration\n Extend device-trust and zero-trust access controls so company systems are reached from managed devices bound to the right person and carrying the right level of access, treating the experience of fellow employees as a design constraint rather than an afterthought\n Build the automation and integrations that let the team scale with the company: joiner/mover/leaver automation across identity and device management, exception and expiry workflows, posture-driven policy, and Claude-assisted triage of review queues\n Lead SaaS and identity governance, including third-party OAuth grants, delegated admin access, chat-platform apps, browser extensions, and software security reviews, turning recurring decisions into policy and tooling\n Partner across the wider Security team, IT, and Engineering on telemetry, detections, and shared standards, and help define how a company that increasingly runs on AI agents does so securely and at scale\n \n Minimum qualifications \n \n Hands-on endpoint security engineering on macOS, Windows, Linux, or ChromeOS, such as MDM and declarative device management profile engineering, application allowlisting or binary authorization, system extensions and endpoint security frameworks, or their platform equivalents\n Proficiency in Python and scripting languages generally; you architect and build integrations, automation, and internal tooling as a normal part of the job, and can write a detection when the work calls for it\n Working depth in identity and access management, SaaS security, and zero-trust access\n Threat-modeling judgment that finds the problems worth solving and the ability to scope them, define \"done,\" and drive them to completion\n Care for Anthropic's mission and the part corporate security plays in it\n \n Preferred qualifications \n \n Experience defining the scope and choosing the tooling for a security program rather than inheriting it\n Experience shipping an enforcement change to a large user population: using data to find what will break before it does, staging the rollout, building the alternative path for affected workflows, and moving people onto it ahead of enforcement\n Endpoint depth across more than one of macOS, Windows, Linux, and ChromeOS, with the judgment to harden for the threats that matter rather than to a checklist\n Mobile security across managed and BYOD contexts, including protecting people and devices in higher-risk settings such as international travel\n Experience bringing security governance to a modern SaaS environment, including third-party integrations, delegated access, and the long tail of internally built and AI-generated apps, in a way that speeds decisions up rather than slowing them down\n Configuration-as-code, infrastructure-as-code, and CI/CD applied to corporate infrastructure\n LLM-assisted security tooling you built that materially changed what a team could cover, and the judgment to know which work to hand to a model, which to keep, and how to combine the two\n A track record of getting security controls adopted across an organization through influence and partnership rathe","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["security","llm","alignment","agents"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5397319008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T00:41:05Z","expires_at":"2026-09-30T13:30:35.695928Z","created_at":"2026-08-25T18:26:18.183489Z","updated_at":"2026-08-31T13:30:35.816956Z","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/159bc0f7-eda7-4229-ad58-4c05b7326801"},{"id":"d1f24fe4-adab-4b1a-9343-602f61f18ad7","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Senior Cloud Security Engineer","slug":"senior-cloud-security-engineer-8486bc04","description":"About the Role\n Abnormal AI is looking for a Senior Cloud Security Engineer to help build the next generation of security capabilities at scale. This is a senior IC-level role that blends deep security expertise with the judgment to direct AI tools effectively — you'll increasingly rely on AI to scaffold Terraform modules, prototype detection logic, and draft integrations, while you own the architecture decisions, validate what ships, and catch the failure modes AI won't flag on its own (overprivileged roles, missed edge cases, subtle logic gaps).\n As a technical lead, you will own the architecture and correctness of systems that enhance both preventative guardrails and detective capabilities across our primarily AWS-based cloud environment, partnering closely with both platform engineering and product teams on security architecture reviews. You'll raise the AI leverage of the engineers around you — not by teaching scripting basics, but by turning your review judgment into reusable standards the team can build on directly. You'll act as a technical liaison across teams and contribute directly to keeping our platforms and customers secure.\n This role is for engineers who are intellectually curious and motivated to bridge security principles, engineering execution, and AI-accelerated delivery.\n Who you are\n \n An intellectually curious, solution-focused engineer with a security mindset who thrives in fast-paced environments\n A technical leader who can architect scalable security solutions while maintaining engineering velocity — increasingly by directing AI to do the first draft and applying judgment to the result\n Someone who thinks like an attacker but builds like a defender, and who treats AI-generated infrastructure and detection logic with the same scrutiny as a junior engineer's first PR\n Someone with high agency who proactively spots what in their own workflow (and the team's) AI can absorb, and actually builds the automation to make that real — not someone waiting to be told\n A collaborative engineer who can translate security requirements into actionable engineering tasks\n A mentor who scales their judgment across the team — reviewing AI-generated code and infra for security gaps, and encoding what they learn into reusable playbooks and standards rather than repeating the same feedback one engineer at a time\n \n What you will do\n \n Lead threat modeling and security design discussions with both platform and product teams, translating risks into engineering actions and using AI to rapidly stress-test designs against attack scenarios before committing engineering time to a direction\n Partner with product engineering to review the security architecture of new product features — assessing designs for data exposure, access control, and abuse-case risk before they ship — using AI to speed up first-pass analysis so your review time goes toward the highest-risk decisions\n Collaborate with Platform, Infra, and DevOps teams to build scalable preventative controls in AWS via Infrastructure-as-Code — using AI coding agents to scaffold and iterate on Terraform/CloudFormation modules, reserving your own time for least-privilege review, blast-radius analysis, and edge cases\n Evaluate and uplift security tooling across commercial, cloud-native, and AI-assisted capabilities, focusing on scale, efficiency, and precision\n Mentor engineers on how to get real leverage from AI — reviewing AI-generated code and infrastructure together, and turning recurring feedback into standards and reusable playbooks instead of repeating it review after review\n Use AI to rapidly prototype automation for signal correlation, alert enrichment, and auto-remediation of known failure patterns, then harden and productionize what proves out rather than hand-building every workflow from a blank file\n Architect, build, and validate integrations between AWS and other cloud-native infrastructure and security tooling (e.g., SIEM, SOAR, IAM tooling), with a growing share of first-draft code AI-generated and human-owned\n Serve as a hands-on technical contributor during security incidents, using AI to accelerate log and telemetry triage while owning the judgment calls that determine root cause and response\n Build and maintain reusable AI-assisted playbooks (for IaC security review, detection authoring, alert triage) that scale your judgment across the security and platform teams\n \n Must Haves\n \n Proven delivery in security engineering or infrastructure security roles, ideally in cloud-native environments\n Deep comprehension of native AWS architecture services and identity/access patterns — IAM, STS, cross-account roles and resource policies, VPC and network segmentation, KMS — with AWS as our primary cloud platform, plus working knowledge of Azure and GCP\n Strong scripting and dev fundamentals in Python and/or Go — enough to read, critique, and confidently modify AI-generated code, not just prompt for it; proficiency with Git, Linu","salary_min":153000,"salary_max":220000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["code-generation","security","cloud","agents"],"apply_url":"https://abnormal.ai/careers/jobs/7896108003?gh_jid=7896108003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T17:01:15Z","expires_at":"2026-09-30T13:34:26.420152Z","created_at":"2026-08-25T18:27:11.58209Z","updated_at":"2026-08-31T13:34:26.54743Z","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/d1f24fe4-adab-4b1a-9343-602f61f18ad7"},{"id":"fcda730f-0dab-4f16-a21e-6906a54e407c","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"AI DevOps Engineer","slug":"ai-devops-engineer-40d84475","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 an AI DevOps Engineer to join our team. This is a Remote within the United States (with a hybrid preference for San Jose, CA) role, reporting to the Manager, IT Cloud Operations in the Cloud Platform Engineering department. Our team builds and operates the internal cloud platform that powers Zscaler's product and corporate infrastructure across AWS, GCP, and Azure. In this role, you will design and ship automation that provisions cloud environments, enforces security baselines, and integrates AI-assisted tooling and agentic workflows to accelerate delivery.\n What you’ll do (Role Expectations) \n \n Build and extend Day 1 automation, including infrastructure provisioning pipelines, account vending, golden repo templates, and CI/CD components\n Build and extend Day 2 automation for lifecycle management, upgrade pipelines, dependency scanning, drift detection, and automated remediation workflows\n Write and maintain Terraform modules, GitLab CI/CD components, and Python automation to establish the platform's paved road\n Integrate AI and agentic tooling into operational workflows to reduce manual toil and increase operational consistency\n Collaborate with Security, IAM, Network, and FinOps teams to translate cross-functional requirements into automated guardrails\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity. You are comfortable building the path as you walk it, viewing dynamic environments as raw material to build something meaningful.\n You act like an owner. Your passion for the mission fuels your bias for action, seamlessly navigating 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 hard problems delivers maximum impact.\n You are a high-trust collaborator. You embrace a challenge culture by giving and receiving ongoing feedback with clarity, respect, and candor.\n You are a learner. You bring a true growth mindset and actively seek feedback to continuously develop yourself and support your team.\n \n What We’re Looking for (Minimum Qualifications) \n \n Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving\n 5+ years of experience building and operating multi-cloud infrastructure at scale across major cloud platforms\n Hands-on expertise with Terraform, including module design, state management, and CI-driven workflows\n Proficiency in scripting and automation using Python, Bash, or equivalent languages\n Working knowledge of CI/CD pipeline design and Kubernetes operations\n Understanding of identity federation, secrets management, and least-privilege security patterns\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Experience with multi-account governance tooling such as AWS Control Tower, Organizations, SCPs, or RCPs\n Experience with GitOps patterns and automated infrastructure lifecycle tooling such as Renovate, Dependabot, or ArgoCD\n Experience with MLOps frameworks: kubeflow, ML flow, and model services like Bedrock, Sagemaker, Vertex AI, Gemini Enterprise\n \n #LI-Remote #LI-YC2\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 ","salary_min":140000,"salary_max":175000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["security","fine-tuning","data-pipeline","mlops","agents","cloud","devops"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5208829007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T15:00:13Z","expires_at":"2026-09-30T13:40:21.729013Z","created_at":"2026-08-25T18:29:22.952569Z","updated_at":"2026-08-31T13:40:21.849958Z","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/fcda730f-0dab-4f16-a21e-6906a54e407c"},{"id":"1cad2fe0-dc9a-4db6-b598-e5cb2d7f66b1","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Staff Product Manager, Purple AI","slug":"senior-staff-product-manager-purple-ai-cfe5605e","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n We're looking for an AI-native product manager to join SentinelOne's Purple AI team and lead the vision and execution for next-generation agentic security features. Purple AI is how modern SOC teams detect earlier, respond faster, and stay ahead of attackers—and SentinelOne is embedding it platform-wide to automate security operations while keeping human analysts fully in control and accountable. You'll own the roadmap for new agentic capabilities and drive the evolution of our conversational experience, continually redefining what modern AI in cybersecurity looks like. This is a high-visibility, strategic role with direct exposure to executive leadership and close collaboration across engineering, sales, marketing, and pricing strategy.\n What Will You Do? \n \n Define and champion the strategy and vision for Purple AI—the industry's first GenAI security analyst—along with new AI features driving SentinelOne's next phase of growth\n Own the full product lifecycle, from ideation through launch and iteration, to deliver measurable customer and business impact\n Synthesize quantitative and qualitative inputs—product metrics, user research, and market analysis—to shape the roadmap and build customer-centric solutions\n Make robust decisions amid incomplete, conflicting, or ambiguous information, managing risk and rallying cross-functional teams around a shared path forward\n Refine online and offline evaluation metrics to track with customer-perceived quality and value, and drive our data-sourcing strategy to continuously improve model and pipeline performance\n Partner with marketing, sales, and documentation to craft a compelling product narrative that drives adoption of our AI products\n \n What Skills and Knowledge Will You Bring? \n \n 8+ years in enterprise product management; cybersecurity product experience preferred\n 5+ years building AI/ML products\n 3+ years launching 0-to-1 enterprise software products\n Bachelor's or advanced degree in computer science, data science, or related field (or equivalent experience)\n Strong technical grasp of AI/ML technologies, including generative and agentic AI, natural language processing (NLP), and retrieval-augmented generation (RAG)\n Exceptional skill navigating ambiguity, framing trade-offs, and making decisions that balance technical complexity, user experience, and business value\n Ownership mentality: proven accountability, persistence, and a results-driven mindset\n Clear, efficient, and persuasive communication—written and verbal—across audiences from engineers to executives\n Hands-on experience using AI tools to accelerate the full PM workflow, improving both the speed and quality of decision-making\n \n Note: This position requires up to 15% travel to customer and SentinelOne locations worldwide. \n Why SentinelOne?\n AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.\n We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:\n Equity \u0026 Rewards \n \n Restricted","salary_min":184000,"salary_max":253000,"location":"United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","rag","security","generative-ai","nlp"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7857160003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T16:53:19Z","expires_at":"2026-09-30T13:50:36.71648Z","created_at":"2026-08-25T18:33:46.361062Z","updated_at":"2026-08-31T13:50:36.823406Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1cad2fe0-dc9a-4db6-b598-e5cb2d7f66b1"},{"id":"2d6345c7-37fd-4b5b-af91-de0fe8db53fd","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"AI Journey Operations Manager","slug":"ai-journey-operations-manager-058fcf62","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 The Opportunity \n Okta is building an AI-enabled demand engine that uses signals, automation, and intelligent engagement to identify, qualify, route, and progress the right buyers more effectively. The AI Journey Operations Manager will own the business strategy, qualification framework, routing logic, operating model, and performance optimization for AI-assisted xDR capabilities across the Global Demand Center.\n This role is not primarily a platform administration or workflow-build role. It is a senior, cross-functional capability-owner role responsible for determining how AI-assisted qualification and engagement should operate, how it connects to human xDR and Sales follow-up, and how it contributes to measurable funnel and pipeline outcomes.\n The ideal candidate combines AI-enabled GTM experience, xDR/Sales process knowledge, demand generation, revenue operations, and journey strategy. They can translate business priorities into qualification logic, routing rules, AI engagement workflows, handoff requirements, measurement frameworks, and ongoing optimization plans.\n  \n What You’ll Do \n Own AI xDR qualification strategy \n \n Define qualification frameworks for AI-assisted engagement across priority inbound, account-based, product-led, customer, and signal-triggered motions.\n Establish the fit, behavior, intent, engagement, and business-context criteria used to determine whether a lead or account should be engaged, progressed, routed, recycled, or suppressed.\n Partner with Revenue Operations, xDR leadership, Sales Operations, and Marketing to align AI qualification logic with lifecycle definitions and Sales acceptance requirements.\n Establish governance for qualification-model changes, exceptions, and regional or segment-specific variations.\n \n Design routing, handoff, and disposition models \n \n Define AI qualification criteria based on fit, intent, behavior, engagement, account context, and business priority. Partner with Sales, xDR, Revenue Operations, Marketing Operations, Growth, and Journey teams to determine when AI should engage, when a human xDR or seller should take over, and when an account should move into nurture, suppression, or another follow-up path.\n Design next-best-action rules, handoff thresholds, escalation paths, service-level expectations, and exception handling.\n Establish consistent acceptance, rejection, disposition, recycling, and re-entry processes across Marketing, AI xDR, and Sales teams.\n Identify and resolve leakage, latency, and ownership gaps between AI engagement and human follow-up.\n \n Connect AI xDR to revenue outcomes \n \n Define how AI xDR performance will be measured across qualified engagement, human acceptance, meetings, opportunity creation, pipeline progression, and other agreed funnel outcomes.\n Partner with Revenue Operations and Analytics to establish reporting, attribution, and feedback loops.\n Diagnose where AI-engaged leads and accounts stall or fail to progress and recommend changes to qualification, routing, handoff, or follow-up logic.\n Use funnel data to prioritize use cases and determine where AI xDR should expand, change, or stop.\n \n Lead the cross-functional operating model \n \n Serve as the primary business owner for AI xDR across Marketing, xDR, Sales, Revenue Operations, Sales Operations, and Journey Architecture.\n Translate business policies and revenue-process requirements into specifications for technical builders and platform administrators.\n Establish decision rights, governance, documentation, testing, launch readiness, and ongoing change-management processes.\n Lead expansion planning across regions, segments, platforms, and use cases.\n \n Guide workflow implementation \n \n Partner with Qualified, Outreach, CRM, marketing automation, and related platform owners to ensure workflows reflect approved qualification, routing, and handoff requirements.\n Validate that implementation matches the intended business logic and revenue operating model.\n Monitor workflow accuracy, operational compliance, and downstream outcomes.\n Recommend technical or process changes based on funnel performance and stakeholder feedback.\n \n What You’ll Bring \n Required qualifications \n \n 7+ years of experience in B2B demand generation, revenue operations, Sales operations, xDR operations, marketing operations, growth operations, or a related GTM operations discipline.\n Experience with AI SDR or AI xDR platforms, conversational marketing, automated qualification, ","salary_min":116000,"salary_max":159500,"location":"Bellevue, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","security","fine-tuning","cloud"],"apply_url":"https://www.okta.com/company/careers/opportunity/8106012?gh_jid=8106012","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T13:32:58Z","expires_at":"2026-09-30T13:39:56.594815Z","created_at":"2026-08-25T18:29:14.394474Z","updated_at":"2026-08-31T13:39:56.721961Z","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/2d6345c7-37fd-4b5b-af91-de0fe8db53fd"}],"page":1,"per_page":20,"total":512,"total_is_exact":true,"total_pages":26}