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This leader will shape how Okta structures, evaluates, and executes strategic and complex transactions, while building the operating model, governance, and team required to scale with the business. This role is equal parts strategist, operator, and trusted business partner. You will work closely with Sales leadership and cross-functional partners across Finance, Legal, Revenue, Product, and Operations to improve deal quality, accelerate velocity, and ensure commercial decisions align with Okta’s growth, profitability, and risk objectives.</p>\n<p>Strategic Deal Leadership - Lead Okta&#39;s Deal Strategy team for global upmarket accounts. - Serve as a trusted advisor to Sales leadership on strategic, competitive, and non-standard deals. - Act as a senior escalation point on high-value, high-risk, and business-critical transactions, balancing growth, customer outcomes, profitability, and risk.</p>\n<p>Commercial Governance &amp; Deal Structuring - Establish and evolve global guardrails for pricing, discounting, approvals, exception handling, and non-standard commercial structures. - Partner with Finance, Legal, Revenue, Product, and Operations to ensure deal structures are commercially sound, operationally executable, and aligned to company policy. - Drive consistency and rigor in commercial decision-making while preserving flexibility for strategic deals.</p>\n<p>Cross-Functional Execution &amp; Business Insights - Lead cross-functional alignment on deal execution, including clear decision rights, escalation paths, and rules of engagement. - Build metrics, dashboards, and inspection mechanisms that improve visibility into cycle time, exception trends, commercial quality, and risk. - Translate field feedback, market dynamics, and deal trends into actionable recommendations on policy, pricing, packaging, and process improvements.</p>\n<p>Team Leadership &amp; Enablement - Build, lead, and develop a high-performing global team with strong commercial judgment and executive credibility. - Coach the team to operate as strategic advisors to the field, not just transaction managers. - Create playbooks, training, and enablement that improve seller effectiveness and reinforce best practices in deal formation.</p>\n<p>AI-Enabled Deal Strategy - Define and scale AI-enabled workflows that improve seller productivity, deal quality, approval consistency, and speed across the deal lifecycle. - Partner with Systems, Operations, and Analytics teams to embed AI into areas such as pricing guidance, approval routing, risk flagging, and deal summarization, with clear guardrails for accuracy, auditability, and policy compliance. - Establish a tiered service model that uses automation for high-volume standardized deals and expert human judgment for complex, high-value, or non-standard transactions.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f113c29e-f70","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7836990","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$246,000-$338,800 USD","x-skills-required":["Deal Strategy","Commercial Operations","Revenue Operations","Finance","Pricing","Discount Governance","Approval Frameworks","Complex Commercial Negotiations","Quote-to-Cash Processes","Revenue Recognition Implications","Salesforce","CPQ","CLM"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:27:14.031Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Deal Strategy, Commercial Operations, Revenue Operations, Finance, Pricing, Discount Governance, Approval Frameworks, Complex Commercial Negotiations, Quote-to-Cash Processes, Revenue Recognition Implications, Salesforce, CPQ, CLM","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":246000,"maxValue":338800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_26a321e1-136"},"title":"Software Engineer, Codex Core Agents","description":"<p><strong>Compensation</strong></p>\n<p>$230K – $385K • Offers Equity</p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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We own making the agent better, accelerating research, and making those improvements real in production for our users.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility.</li>\n</ul>\n<ul>\n<li>Develop systems for agent orchestration across multi-step, tool-using workflows.</li>\n</ul>\n<ul>\n<li>Build infrastructure for running, testing, and debugging code generated by models.</li>\n</ul>\n<ul>\n<li>Create state and memory systems that allow agents to persist context across long-running tasks.</li>\n</ul>\n<ul>\n<li>Optimize tokens, latency, reliability, and cost across Codex’s production fleet.</li>\n</ul>\n<ul>\n<li>Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale.</li>\n</ul>\n<ul>\n<li>Build shared platform capabilities that unblock product teams, partner teams, and open source Codex.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You</strong></p>\n<ul>\n<li>Have strong experience in distributed systems or infrastructure engineering.</li>\n</ul>\n<ul>\n<li>Have built systems involving containers, sandboxing, or virtualization.</li>\n</ul>\n<ul>\n<li>Are comfortable working across backend systems, APIs, and developer tooling.</li>\n</ul>\n<ul>\n<li>Care deeply about system reliability, performance, and security.</li>\n</ul>\n<ul>\n<li>Enjoy working on ambiguous, zero-to-one problems.</li>\n</ul>\n<ul>\n<li>Want to help build the systems that turn model capability into a dependable software engineering agent.</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience with code execution platforms, CI/CD systems, or build systems.</li>\n</ul>\n<ul>\n<li>Familiarity with LLMs, agents, or tool-use frameworks.</li>\n</ul>\n<ul>\n<li>Background in security engineering or isolation systems.</li>\n</ul>\n<ul>\n<li>Experience building developer platforms, IDE tooling, or open source infrastructure.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</p>\n<p>To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.</p>\n<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241).</p>\n<p>[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)</p>\n<p>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. 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No response will be provided to inquiries unrelated to job posting compliance.</p>\n<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.</p>\n<p>OpenAI Global Applicant Privacy Policy</p>\n<p>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. 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It empowers regional teams, agencies, and production partners across Latin America to deliver bold, distinctive, and world-class work.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Lead creative direction across LATAM brand campaigns, marketing, digital, content, experiential, events, and partnerships across audiences from Consumer to B2B</li>\n</ul>\n<ul>\n<li>Translate global brand strategy and creative vision into culturally resonant executions across diverse Latin American markets</li>\n</ul>\n<ul>\n<li>Set and maintain a high bar for concept, craft, and storytelling across all creative outputs</li>\n</ul>\n<ul>\n<li>Partner closely with the International and U.S. Creative Studio as well as local Marketing to align on global creative direction, systems, and brand standards</li>\n</ul>\n<ul>\n<li>Guide and mentor designers, art directors, and creative teams across the region, providing clear direction, feedback, and inspiration</li>\n</ul>\n<ul>\n<li>Collaborate 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skills</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_30c37d98-1c5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/000ec245-3272-4f71-8d92-68eb95ebfb6f","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"Full time","x-salary-range":null,"x-skills-required":["creative direction","brand strategy","digital marketing","content creation","experiential marketing","event 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problem-solving, stakeholder management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5fd90acd-a0f"},"title":"Performance Modeling Engineer ~2","description":"<p>We are seeking a Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions.</p>\n<p>In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage.</p>\n<p>This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Support the development and 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design</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5fd90acd-a0f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/4f6be73e-9a1d-4ec6-8b0e-b2af0b4becfb","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"Full time","x-salary-range":"$266K – $445K","x-skills-required":["software engineering","systems modeling","performance analysis","technical tools","scripts","frameworks","system architecture","compute","memory","networking"],"x-skills-preferred":["AI/ML workloads","distributed systems","large-scale infrastructure","simulation tools","benchmarking","profiling","data center systems","server architecture","hardware platforms","hardware/software 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p>&quot; +   &quot;- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</p>\n<p>&quot; +   &quot;- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</p>\n<p>&quot; +   &quot;- 401(k) retirement plan with employer match</p>\n<p>&quot; +   &quot;- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</p>\n<p>&quot; +   &quot;- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</p>\n<p>&quot; +   &quot;- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</p>\n<p>&quot; +   &quot;- Mental health and wellness support</p>\n<p>&quot; +   &quot;- Employer-paid basic life and disability coverage</p>\n<p>&quot; +   &quot;- Annual learning and development stipend to fuel your professional growth</p>\n<p>&quot; +   &quot;- Daily meals in our offices, and meal delivery credits as eligible</p>\n<p>&quot; +   &quot;- Relocation support for eligible employees</p>\n<p>&quot; +   &quot;- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</p>\n<p>&quot; +   &quot;## About the Team &quot; +   &quot;The Environmental, Health &amp; Safety (EHS) team partners across the company to enable safe, compliant, and scalable operations as our work, facilities, and technologies grow globally. We work closely with Engineering, Research &amp; Development, Workplace, Operations, Security, IT, and external partners to design practical safety programs that support innovation while protecting people.</p>\n<p>&quot; +   &quot;## About the Role &quot; +   &quot;OpenAI is seeking an EHS Manager, Engineering &amp; Technical Operations to support expanding hardware engineering and research and development environments across emerging technology domains.</p>\n<p>&quot; +   &quot;This role will partner closely with engineering, research, and technical operations teams to assess and control exposure risks, strengthen safe work practices, and build scalable EHS programs that enable innovation while protecting people, facilities, and equipment. You will operate across multiple technical disciplines and translate complex hazards into practical controls that teams can apply in fast-moving environments.</p>\n<p>&quot; +   &quot;The role also provides EHS advisory input on product and equipment safety, helping engineering teams identify hazards early in development and integrate safety considerations into evolving technologies.</p>\n<p>&quot; +   &quot;## In this role, you will: &quot; +   &quot;- Lead EHS programs supporting hardware engineering, research and development, and technical operations environments across multiple sites, with emphasis on industrial hygiene and product and equipment safety risks.</p>\n<p>&quot; +   &quot;- Conduct exposure and hazard assessments across chemical, physical, and operational risks and implement effective controls aligned with the hierarchy of controls.</p>\n<p>&quot; +   &quot;- Develop, maintain, and scale SOPs and safety standards for technical workflows, equipment use, materials handling, and high-risk operations.</p>\n<p>&quot; +   &quot;- Partner with engineering and technical teams to embed safety-by-design principles into equipment, workspaces, and evolving technical processes.</p>\n<p>&quot; +   &quot;- Provide EHS advisory support on product and equipment safety, helping identify hazards during development, testing, and deployment phases.</p>\n<p>&quot; +   &quot;- Strengthen compliance frameworks across OSHA/Cal-OSHA, NFPA, ANSI, and related safety standards, ensuring programs align with regulatory expectations.</p>\n<p>&quot; +   &quot;- Support regulatory readiness across sites, including preparing teams for inspections, coordinating responses to agency inquiries, and partnering with regulators when necessary.</p>\n<p>&quot; +   &quot;- Own or co-own programs such as hazard communication, chemical management, ventilation and engineering controls effectiveness, equipment safety, and contractor safety.</p>\n<p>&quot; +   &quot;- Lead incident and near-miss investigations, develop corrective and preventive actions, and analyze trends to drive continuous improvement.</p>\n<p>&quot; +   &quot;- Deliver targeted training, support onboarding and work authorization or permitting processes, and reinforce a strong on-the-floor safety culture.</p>\n<p>&quot; +   &quot;## You might thrive in this role if you: &quot; +   &quot;- 8–10+ years of EHS experience supporting engineering, research and development, technical operations, or other complex technical environments.</p>\n<p>&quot; +   &quot;- Strong capability in industrial hygiene principles, including exposure assessment, monitoring approaches, and control selection.</p>\n<p>&quot; +   &quot;- Experience advising teams on product or equipment safety hazards, including mechanical, electrical, thermal, or chemical risks.</p>\n<p>&quot; +   &quot;- Technical fluency across multiple disciplines such as mechanical systems, electrical hazards, equipment safety, materials and chemical hazards, and facility controls.</p>\n<p>&quot; +   &quot;- Working knowledge of OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks.</p>\n<p>&quot; +   &quot;- Experience supporting or interfacing with regulatory agencies or inspections and translating regulatory requirements into practical operational controls.</p>\n<p>&quot; +   &quot;- Demonstrated ability to influence cross-functional partners and embed safety considerations early in engineering and operational planning.</p>\n<p>&quot; +   &quot;- Strong field presence and operational judgment in dynamic, evolving technical environments.</p>\n<p>&quot; +   &quot;- Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent are preferred.</p>\n<p>&quot; +   &quot;## About OpenAI &quot; +   &quot;OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>&quot; +   &quot;## Required Skills &quot; +   &quot;• Industrial hygiene principles &quot; +   &quot;• Exposure assessment &quot; +   &quot;• Monitoring approaches &quot; +   &quot;• Control selection &quot; +   &quot;• Product or equipment safety hazards &quot; +   &quot;• Mechanical, electrical, thermal, or chemical risks &quot; +   &quot;• Technical fluency across multiple disciplines &quot; +   &quot;• OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks &quot; +   &quot;• Regulatory agency interactions &quot; +   &quot;• Operational controls &quot; +   &quot;• Cross-functional partnerships &quot; +   &quot;• Field presence and operational judgment &quot; +   &quot;• Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent</p>\n<p>&quot; +   &quot;## Preferred Skills &quot; +   &quot;• Experience in hardware engineering and research and development environments &quot; +   &quot;• Familiarity with emerging technology domains &quot; +   &quot;• Strong analytical and problem-solving skills &quot; +   &quot;• Excellent communication and interpersonal skills &quot; +   &quot;• Ability to work in a fast-paced environment &quot; +   &quot;• Experience with EHS software and systems &quot; +   &quot;• Familiarity with regulatory requirements and industry standards</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7bf4028e-a91","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/29d40809-10a4-451c-966f-80c3ef7b94ea","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$203K – $225K\",   \"salaryMin\": 203000,   \"salaryMax\": 225000,   \"salaryCurrency\": \"USD\",   \"salaryPeriod\": \"year","x-skills-required":["Industrial hygiene principles","Exposure assessment","Monitoring approaches","Control selection","Product or equipment safety hazards","Mechanical, electrical, thermal, or chemical risks","Technical fluency across multiple disciplines","OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks","Regulatory agency interactions","Operational controls","Cross-functional partnerships","Field presence and operational judgment","Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent"],"x-skills-preferred":["Experience in hardware engineering and research and development environments","Familiarity with emerging technology domains","Strong analytical and problem-solving skills","Excellent communication and interpersonal skills","Ability to work in a fast-paced environment","Experience with EHS software and systems","Familiarity with regulatory requirements and industry standards"],"datePosted":"2026-04-24T12:22:01.437Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Industrial hygiene principles, Exposure assessment, Monitoring approaches, Control selection, Product or equipment safety hazards, Mechanical, electrical, thermal, or chemical risks, Technical fluency across multiple disciplines, OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks, Regulatory agency interactions, Operational controls, Cross-functional partnerships, Field presence and operational judgment, Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent, Experience in hardware engineering and research and development environments, Familiarity with emerging technology domains, Strong analytical and problem-solving skills, Excellent communication and interpersonal skills, Ability to work in a fast-paced environment, Experience with EHS software and systems, Familiarity with regulatory requirements and industry standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":203000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d57ab2d-f3b"},"title":"Cloud Solution Architect","description":"<p>At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow&#39;s transportation.</p>\n<p>If you&#39;re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people&#39;s lives: this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.</p>\n<p>To meet the growing needs of the Customer analytics business, the team is looking for a self-motivated, technically proficient individual to craft and shepherd coherent solutions. This will require collaboration with a range of stakeholders to clarify requirements, establish pragmatic approaches, and support and articulate decisions over time. 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Proactively address vulnerabilities in distributed systems and AI models (e.g., OWASP Top 10 for LLMs).</li>\n</ul>\n<ul>\n<li>API &amp; Data Contracts: Bolster &#39;Data as a Product&#39; practices by enforcing strict API standards and data contracts to ensure seamless, secure interoperability between services.</li>\n</ul>\n<ul>\n<li>FinOps &amp; Cost Optimisation: Drive fiscal responsibility by right-sizing GCP resources and optimising Generative AI architectures (token management/model selection) to maximise ROI.</li>\n</ul>\n<ul>\n<li>SRE &amp; Performance Tuning: Apply Site Reliability Engineering principles to ensure high availability, minimise system latency, and lead root-cause analysis for complex, distributed system failures.</li>\n</ul>\n<ul>\n<li>DevSecOps &amp; Problem Solving: Integrate security automation into CI/CD pipelines to ensure &#39;Secure-by-Design&#39; deployments while solving complex architectural trade-offs between speed, scale, and risk.</li>\n</ul>\n<ul>\n<li>Continuous Learning: Stay at the forefront of AI research, specifically regarding autonomous agents, prompt engineering etc</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>AI development tools and frameworks (e.g., LangChain, LangGraph, or Agent Dev Kit) to accelerate the delivery of intelligent applications.</li>\n</ul>\n<ul>\n<li>Agentic &amp; GenAI Design: Lead the architectural design of Agentic AI systems (multi-agent orchestration) and Generative AI solutions, including Retrieval-Augmented Generation (RAG) patterns and LLM integration.</li>\n</ul>\n<ul>\n<li>Kubernetes (GKE): Experience managing containerised workloads at scale.</li>\n</ul>\n<ul>\n<li>Kafka/Event-Driven Design: Experience with high-throughput messaging and event-driven architectures.</li>\n</ul>\n<ul>\n<li>MLOps: Familiarity with the end-to-end lifecycle of machine learning models in production.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>You&#39;ll have...</strong></p>\n<ul>\n<li>Requires a bachelor&#39;s or foreign equivalent degree in computer science, information technology or a technology related field</li>\n</ul>\n<ul>\n<li>5+ years of Software engineering experience using Java or Python developing services (APIs, REST, etc.)</li>\n</ul>\n<ul>\n<li>2+ years of experience with Google Cloud Platform or other cloud service provider (AWS, Azure, etc.) and associated cloud components.</li>\n</ul>\n<ul>\n<li>Experience designing/architecting and running distributed systems in a production environment</li>\n</ul>\n<ul>\n<li>STRONG communications skills and cognitive agility - ability to engage in deep technical discussions with customers and peers, become a trusted technical advisor, and maintain good documentation</li>\n</ul>\n<p><strong>Even better, you may have...</strong></p>\n<ul>\n<li>Master&#39;s degree in computer science, electrical engineering or a closely related field of study</li>\n</ul>\n<ul>\n<li>Familiarity with a breadth of programming languages, platforms, and systems</li>\n</ul>\n<ul>\n<li>Experience with asynchronous messaging and eventually consistent system design</li>\n</ul>\n<ul>\n<li>An agile, pragmatic, and empirical mindset</li>\n</ul>\n<ul>\n<li>Critical thinking, decision-making and leadership aptitudes</li>\n</ul>\n<ul>\n<li>Good organisational and problem-solving abilities</li>\n</ul>\n<ul>\n<li>MDM, Entity Resolution, Customer Analytics and Marketing Analytics experience is a huge plus.</li>\n</ul>\n<p>You may not check every box, or your experience may look a little different from what we&#39;ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p>\n<p><strong>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:</strong></p>\n<ul>\n<li>Immediate medical, dental, and prescription drug coverage</li>\n</ul>\n<ul>\n<li>Flexible family care, parental leave, new parent ramp-up programs, subsidised back-up child care and more</li>\n</ul>\n<ul>\n<li>Vehicle discount programme for employees and family members, and management leases</li>\n</ul>\n<ul>\n<li>Tuition assistance</li>\n</ul>\n<ul>\n<li>Established and active employee resource groups</li>\n</ul>\n<ul>\n<li>Paid time off for individual and team community service</li>\n</ul>\n<ul>\n<li>A generous schedule of paid holidays, including the week between Christmas and New Year&#39;s Day</li>\n</ul>\n<ul>\n<li>Paid time off and the option to purchase additional vacation time.</li>\n</ul>\n<p><strong>For a detailed look at our benefits, click here:</strong> Benefit Summary</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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Your creativity and execution-focused approach will be critical in navigating complex challenges while maintaining the trust of our stakeholders.</p>\n<p><strong>We’re looking for people who bring:</strong></p>\n<ul>\n<li>Proven experience in obtaining and maintaining a FedRAMP ATO and agency specific ATOs in highly restricted environments, within government or regulated sectors.</li>\n</ul>\n<ul>\n<li>A deep understanding of USG security frameworks and policies (e.g., NIST, RMF, FedRAMP).</li>\n</ul>\n<ul>\n<li>Ability to communicate technical concepts to diverse audiences, including engineers and non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Exceptional technical program management skills, with the ability to multitask and deliver large complex programs under pressure.</li>\n</ul>\n<p><strong>This role is based in Washington, DC. 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We move fast, think boldly, and empower you to do the best work of your life. You&#39;ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won&#39;t just contribute. You&#39;ll make things happen–fast.</p>\n<p>At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are a take-charge, take-initiative, get-stuff-done individual we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.</p>\n<p>As the Head of People Analytics &amp; Innovation, you will build and lead ZoomInfo&#39;s people analytics function from the ground up. 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As a Virtual Validation Engineer, you will develop and maintain electronic control unit (ECU) simulations at multiple abstraction levels. You will work as a member of a team delivering virtual ECU prototyping solutions to software and control systems engineers within our product development teams. Your responsibilities will include evaluating technologies and methods for integration of simulations and virtual ECU platforms, troubleshooting virtual ECU hardware and software integration issues, and developing and maintaining simulation tools and environments for automotive applications.</p>\n<p>You will also develop scripts to automate the building and running of virtual test environments, assist software development and testing teams with adopting and using virtual ECU environments, and plan out project roadmaps and participate in project management decisions.</p>\n<p>We&#39;re looking for someone with a Bachelor&#39;s or Master&#39;s degree in Computer Science, Electrical Engineering, or a related field, and 3+ years of experience in developing simulation or virtualization frameworks, or equivalent experience in system programming. You should have strong programming skills in C/C++ and Python or similar scripting languages, and experience working in Agile development environments.</p>\n<p>If you&#39;re interested in joining our team and contributing to the development of innovative virtual validation solutions, please apply!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d2e62d54-330","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://corporate.ford.com/","logo":"https://logos.yubhub.co/corporate.ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/62321","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$85,400-$143,200","x-skills-required":["C/C++","Python","Agile development","Simulation or virtualization frameworks","System programming"],"x-skills-preferred":["Instruction-level or cycle-accurate simulation tools and environments","Co-simulation and multi-domain simulation tools","Automotive ECUs, control systems, and communication protocols","Hardware-in-the-loop (HIL) testing methodologies","Containers, cloud, and batch computing platforms","Embedded development and hardware bring-up"],"datePosted":"2026-04-24T12:21:07.886Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"C/C++, Python, Agile development, Simulation or virtualization frameworks, System programming, Instruction-level or cycle-accurate simulation tools and environments, Co-simulation and multi-domain simulation tools, Automotive ECUs, control systems, and communication protocols, Hardware-in-the-loop (HIL) testing methodologies, Containers, cloud, and batch computing platforms, Embedded development and hardware bring-up","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":85400,"maxValue":143200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7f352b8-62c"},"title":"Performance Modeling Engineer","description":"<p>We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions.</p>\n<p>In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions.</p>\n<p>This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Develop and maintain performance modeling tools and frameworks.</li>\n</ul>\n<ul>\n<li>Build models to evaluate system behavior across:</li>\n<li>compute, memory, and interconnect subsystems</li>\n<li>distributed system scaling and bottlenecks.</li>\n</ul>\n<ul>\n<li>Run simulations and analytical models to support architectural tradeoff analysis.</li>\n</ul>\n<ul>\n<li>Collaborate with performance modeling lead and system architects to answer forward-looking design questions.</li>\n</ul>\n<ul>\n<li>Analyze and interpret modeling outputs, translating results into actionable insights.</li>\n</ul>\n<ul>\n<li>Validate models against real system measurements and workload behavior.</li>\n</ul>\n<ul>\n<li>Contribute to improving modeling fidelity, usability, and scalability.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).</li>\n</ul>\n<ul>\n<li>Familiarity with system architecture fundamentals (compute, memory, networking).</li>\n</ul>\n<ul>\n<li>Experience with programming and building technical tools or frameworks.</li>\n</ul>\n<ul>\n<li>Ability to reason about performance bottlenecks and scaling behavior.</li>\n</ul>\n<ul>\n<li>Strong analytical skills and comfort working with quantitative models.</li>\n</ul>\n<ul>\n<li>Ability to collaborate across teams and learn new system domains quickly.</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Exposure to AI/ML workloads or distributed systems.</li>\n</ul>\n<ul>\n<li>Experience with simulation tools, performance modeling, or systems analysis.</li>\n</ul>\n<ul>\n<li>Familiarity with data center infrastructure or large-scale systems.</li>\n</ul>\n<ul>\n<li>Experience working with performance data, benchmarking, or profiling tools.</li>\n</ul>\n<ul>\n<li>Interest in system architecture and hardware/software co-design.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c7f352b8-62c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/19fc3e36-3bf3-4a7c-b65f-498d89220436","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"Full time","x-salary-range":"$266K – $445K","x-skills-required":["performance modeling","system architecture","AI infrastructure","software engineering","modeling","simulation","systems modeling","performance analysis","programming","technical tools","frameworks"],"x-skills-preferred":["AI/ML workloads","distributed systems","simulation tools","systems analysis","data center infrastructure","large-scale systems","performance data","benchmarking","profiling tools","hardware/software co-design"],"datePosted":"2026-04-24T12:20:57.925Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance modeling, system architecture, AI infrastructure, software engineering, modeling, simulation, systems modeling, performance analysis, programming, technical tools, frameworks, AI/ML workloads, distributed systems, simulation tools, systems analysis, data center infrastructure, large-scale systems, performance data, benchmarking, profiling tools, hardware/software co-design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_81fdc88b-027"},"title":"Staff Detection & Response Engineer","description":"<p>Secure Every Identity, from AI to Human</p>\n<p>Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations 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.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Staff Detection &amp; Response Engineer at Okta, you will occupy a high-impact leadership role within our Security Operations organisation. This is not just a technical role; it is a strategic one. You will influence security decisions across multiple teams, drive innovation in our defence-in-depth strategies, and act as a force multiplier for our global security posture.</p>\n<p>You will be responsible for leading complex threat hunts, managing major security incidents, and architecting the detection frameworks that protect Okta’s infrastructure and customers. You will serve as a bridge between executive leadership and technical teams, ensuring our security objectives align with broader business trends and strategic goals.</p>\n<p><strong>What You’ll Do</strong></p>\n<p>Technical Leadership &amp; Innovation</p>\n<ul>\n<li>Threat Hunting: Lead complex, hypothesis-driven threat hunts based on vague intelligence, and develop refined methodologies for the broader team to follow.</li>\n</ul>\n<ul>\n<li>Detection Engineering: Write novel detections and solve complex querying challenges. You will establish the frameworks and standards for detection engineering across the entire security organisation.</li>\n</ul>\n<ul>\n<li>Architectural Influence: Design and validate the effectiveness of preventative control chains and influence the selection and architecture of new security solutions.</li>\n</ul>\n<ul>\n<li>Incident Response: Serve as the technical lead for major incidents, including investigating threats in “foreign” or uncommon environments by leveraging frameworks and your professional network.</li>\n</ul>\n<p>Global Mindset: While Okta maintains a 24x7 posture, there is a requirement to be available in a crisis out of (your business) hours, and as a thought leader, to interface with colleagues globally.</p>\n<p>Strategic Execution</p>\n<ul>\n<li>Project Ownership: Own multi-quarter objectives and drive them to success, developing project plans that align with Okta’s strategic VMTs (Vision, Metrics, and Targets) and budget.</li>\n</ul>\n<ul>\n<li>Problem Solving: Navigate issues of diverse scope, analysing data against current business trends to provide innovative solutions.</li>\n</ul>\n<ul>\n<li>Innovation: Secure resources for and drive innovation initiatives across multiple teams, facilitating cross-functional workshops to generate new security solutions.</li>\n</ul>\n<p>Team Advocacy &amp; Mentorship</p>\n<ul>\n<li>Culture Building: Foster an inclusive, collaborative environment by sharing wins, rewarding team efforts, and encouraging diverse perspectives.</li>\n</ul>\n<ul>\n<li>Mentorship: Act as an advisor to junior colleagues, providing actionable feedback and helping others align their career goals with organisational objectives.</li>\n</ul>\n<ul>\n<li>Consensus Driving: Drive consensus and resolve issues within cross-functional teams, ensuring all stakeholders are aligned on security priorities.</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>Expert Investigator: You have a deep understanding of threat actor TTPs and can navigate complex systems even when documentation is sparse.</li>\n</ul>\n<ul>\n<li>Effective Communicator: You can translate complex technical problems for any audience, from executive leadership to junior analysts.</li>\n</ul>\n<ul>\n<li>Resilient Leader: You have a “bottom-line” orientation, persisting through obstacles and setbacks to achieve results.</li>\n</ul>\n<ul>\n<li>Self-Aware &amp; Empathetic: You proactively seek feedback, know your limits, and lead with empathy and compassion.</li>\n</ul>\n<ul>\n<li>Collaboratively Minded: You prioritise the development of others and establish internal and external networks of coaches and mentors.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Proven experience in a high-growth SaaS or security-focused environment.</li>\n</ul>\n<ul>\n<li>Expertise in querying languages, detection frameworks (e.g., MITRE ATT&amp;CK), and modern IR toolsets.</li>\n</ul>\n<ul>\n<li>Experience managing communications during crises or major security incidents.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to lead project teams and manage budget/resource requirements.</li>\n</ul>\n<ul>\n<li>Strong background in automating response workflows and refining preventative controls.</li>\n</ul>\n<p>Why Okta? Okta is the World’s Identity Company. We are building a world where anyone can safely use any technology. As a Staff Engineer, you will play a pivotal role in ensuring that vision remains a reality.</p>\n<p>#LI-HYBRID</p>\n<p>P6513_3323862</p>\n<p>Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.</p>\n<p>The annual base salary range for this position for candidates located in Canada is between:</p>\n<p>$141,000-$193,000 CAD</p>\n<p>The Okta Experience</p>\n<ul>\n<li>Supporting Your Well-Being</li>\n</ul>\n<ul>\n<li>Driving Social Impact</li>\n</ul>\n<ul>\n<li>Developing Talent and Fostering Connection + Community</li>\n</ul>\n<p>We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_81fdc88b-027","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7833771","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$141,000-$193,000 CAD","x-skills-required":["querying languages","detection frameworks","MITRE ATT&CK","modern IR toolsets","project management","budget/resource management","automating response workflows","refining preventative controls"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:20:56.094Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"querying languages, detection frameworks, MITRE ATT&CK, modern IR toolsets, project management, budget/resource management, automating response workflows, refining preventative controls","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":141000,"maxValue":193000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9f803d6d-85d"},"title":"Learning Systems Data Engineer","description":"<p>Job Title: Learning Systems Data Engineer</p>\n<p>Estimated annual salary $239K – $325K • Offers Equity</p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</p>\n<p>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</p>\n<p>401(k) retirement plan with employer match</p>\n<p>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</p>\n<p>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</p>\n<p>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</p>\n<p>Mental health and wellness support</p>\n<p>Employer-paid basic life and disability coverage</p>\n<p>Annual learning and development stipend to fuel your professional growth</p>\n<p>Daily meals in our offices, and meal delivery credits as eligible</p>\n<p>Relocation support for eligible employees</p>\n<p>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</p>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong> The Education team at OpenAI is building systems that help make ChatGPT a highly effective learning partner. As AI progress continues to accelerate, our goal is to design learning capabilities that help individuals, developers, educators, and organizations move from curiosity to mastery with the help of AI tools.</p>\n<p>This team works at the intersection of AI systems, learning science, and large-scale platforms to build the infrastructure for AI-native learning experiences globally.</p>\n<p><strong>About the Role</strong> OpenAI is seeking a <strong>Learning Systems Engineer</strong> to help build the infrastructure behind AI-native learning experiences. This role sits at the intersection of backend systems, learning science, research, and product.</p>\n<p>You will translate pedagogical goals into production systems: learner models, progress tracking, adaptive feedback loops, formative assessments, and analytics to measure whether people are actually learning.</p>\n<p>Your work will help ensure that millions of people around the world can learn effectively and build real capability with AI.</p>\n<p><strong>What You&#39;ll Work On</strong></p>\n<ul>\n<li><strong>Build AI-Native Learning Infrastructure:</strong> Develop core systems for AI education, including dynamic experiences, progress tracking, and assessments.</li>\n</ul>\n<ul>\n<li><strong>Enable Adaptive Learning:</strong> Develop capabilities that allow learning experiences to dynamically adapt to learners’ knowledge, goals, and behaviors over time.</li>\n</ul>\n<ul>\n<li><strong>Design Data Systems for Insights:</strong> Build data pipelines and analytics systems to help educators understand learner outcomes, engagement patterns, and skill development.</li>\n</ul>\n<ul>\n<li><strong>Empower Educators:</strong> Build systems that allow non-engineers to design, configure, and experiment with learning experiences without requiring direct engineering support.</li>\n</ul>\n<p><strong>What Success Looks Like in the First 12 Months</strong></p>\n<ul>\n<li>Help launch new AI learning experiences that reach a broad set of learners.</li>\n</ul>\n<ul>\n<li>Refine infrastructure that allows educators to deliver adaptive learning and assessments.</li>\n</ul>\n<ul>\n<li>Validate the learning analytics pipeline to provide deeper insights into AI driven learning.</li>\n</ul>\n<ul>\n<li>Empower education teams to use AI tools to build and iterate at scale.</li>\n</ul>\n<p><strong>Core Qualifications</strong></p>\n<ul>\n<li>5–10+ years of experience in software, data, or learning engineering.</li>\n</ul>\n<ul>\n<li>Experience building data systems or infrastructure that support education &amp; training.</li>\n</ul>\n<ul>\n<li>Experience working with learning data, analytics pipelines, or educational metrics.</li>\n</ul>\n<ul>\n<li>Comfort translating learning or pedagogical goals into technical systems.</li>\n</ul>\n<p><strong>Strong Additional Qualifications</strong></p>\n<ul>\n<li>Background in learning science, instructional design, or education research.</li>\n</ul>\n<ul>\n<li>Experience building LMS platforms or training infrastructure.</li>\n</ul>\n<ul>\n<li>Experience with learning analytics, learner data models, or educational measurement.</li>\n</ul>\n<ul>\n<li>Experience building systems that incorporate AI models into educational workflows.</li>\n</ul>\n<ul>\n<li>Experience with credentialing, certification systems, or competency frameworks.</li>\n</ul>\n<ul>\n<li>Experience building platforms used by non-technical educators or curriculum teams.</li>\n</ul>\n<p><strong>Relevant Backgrounds</strong></p>\n<ul>\n<li>Education technology engineering.</li>\n</ul>\n<ul>\n<li>Learning analytics or educational data systems.</li>\n</ul>\n<ul>\n<li>Instructional technology platforms.</li>\n</ul>\n<ul>\n<li>Training platforms for technical products.</li>\n</ul>\n<ul>\n<li>AI tutoring systems or adaptive learning platforms.</li>\n</ul>\n<p><strong>Why This Role Matters</strong> AI will fundamentally transform how people learn, work, and create. This role is essential for building the systems that ensure the benefits of AI are accessible to all, enabling learners worldwide to develop meaningful capability with this foundational technology.</p>\n<p><strong>About OpenAI</strong> OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</p>\n<p>To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9f803d6d-85d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/9c55e073-886d-466a-86a3-435a291e19d2","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$239K – $325K","x-skills-required":["software engineering","data engineering","learning engineering","AI systems","learning science","large-scale platforms","learner models","progress tracking","adaptive feedback loops","formative assessments","analytics"],"x-skills-preferred":["LMS platforms","training infrastructure","learning analytics","learner data models","educational measurement","credentialing","certification systems","competency frameworks"],"datePosted":"2026-04-24T12:20:28.141Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, data engineering, learning engineering, AI systems, learning science, large-scale platforms, learner models, progress tracking, adaptive feedback loops, formative assessments, analytics, LMS platforms, training infrastructure, learning analytics, learner data models, educational measurement, credentialing, certification systems, competency frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":239000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1a9a0f80-700"},"title":"Senior Manager, Platform Engineering - Secure Supply Chain","description":"<p>At Twilio, we&#39;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.</p>\n<p>Join the team as Twilio&#39;s next Senior Manager, Platform Engineering - Secure Supply Chain. This position is needed to lead Twilio&#39;s Platform Engineering Secure Supply Chain team, which provides critical infrastructure for software development across the company. The team owns systems spanning source control management, build systems, and artifact management, ensuring secure and efficient software delivery for all of Twilio.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead and develop a team of engineers responsible for Twilio&#39;s secure supply chain infrastructure, including source control management (SCM), build systems, and artifact management platforms</li>\n<li>Define and execute strategic vision for secure supply chain capabilities that create leverage and centralize the cost of change across the entire engineering organization</li>\n<li>Partner closely with Security, Compliance, and Product Engineering leadership to establish and enforce secure supply chain standards, policies, and best practices company-wide</li>\n<li>Drive operational excellence through metrics, service level objectives, and continuous improvement initiatives that balance security requirements with developer productivity</li>\n<li>Build and maintain strong relationships with internal customers and stakeholders, translating business needs into technical solutions and roadmap priorities</li>\n<li>Develop engineering talent through coaching, mentorship, and career development while fostering a culture of ownership, collaboration, and technical excellence</li>\n<li>Champion automation, self-service capabilities, and platform thinking to scale secure supply chain practices across Twilio&#39;s diverse product portfolio</li>\n<li>Collaborate with peer engineering leaders across the Platform organization to ensure cohesive technical strategy and efficient delivery</li>\n<li>Communicate technical strategy, progress, and challenges effectively to senior leadership and cross-functional stakeholders</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>8+ years of experience in software engineering, platform engineering, or infrastructure roles, with at least 4+ years in engineering management leading teams of 8-12 engineers</li>\n<li>Proven track record leading platform engineering team and developer platform initiatives at scale in complex, multi-product organizations</li>\n<li>Experience leading teams through significant technical migrations or platform modernization efforts</li>\n<li>Deep technical knowledge of source control systems (GitHub), build systems (Buildkite, GitHub Actions, Harness), and artifact management platforms (Artifactory, Nexus, container registries)</li>\n<li>Strong understanding of secure supply chain practices in cloud environments (AWS, GCP, Azure) including cloud-native CI/CD, container security, infrastructure-as-code, and cloud service integrations</li>\n<li>Demonstrated experience partnering with Security and Compliance teams to implement security controls, vulnerability management, and compliance requirements without compromising developer velocity</li>\n<li>Strong people leadership skills including hiring, performance management, coaching, and developing high-performing engineering teams</li>\n<li>Excellent stakeholder management and communication skills with ability to influence and align cross-functional partners at all levels of the organization</li>\n<li>Strategic thinking with ability to balance short-term execution against long-term vision and organizational impact</li>\n<li>Experience managing budgets, vendor relationships, and making build-vs-buy decisions for platform capabilities</li>\n</ul>\n<p>Desired:</p>\n<ul>\n<li>Experience with software supply chain security frameworks (SLSA, SBOM, vulnerability scanning, dependency management)</li>\n<li>Background in highly regulated industries or companies with significant compliance requirements (SOX, PCI, SOC2, FedRAMP, ISO)</li>\n<li>Contributions to open source projects or industry thought leadership in secure supply chain or developer platforms</li>\n</ul>\n<p>What We Offer:</p>\n<p>Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.</p>\n<p>Compensation:</p>\n<ul>\n<li>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.</li>\n<li>Compensation for candidates in other locations will be discussed during the hiring process.</li>\n<li>The estimated pay ranges for this role are as follows:</li>\n</ul>\n<p>+ Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $207,200.00 - $259,000.00   + Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $219,360.00 - $274,200.00   + Based in the San Francisco Bay area, California: $243,680.00 - $304,600.00</p>\n<p>Application deadline information:</p>\n<p>Applications for this role are intended to be accepted until April 6, 2026, but may change based on business needs.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1a9a0f80-700","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7755317","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$207,200.00 - $304,600.00","x-skills-required":["software engineering","platform engineering","infrastructure","source control management","build systems","artifact management","cloud environments","container security","infrastructure-as-code","cloud service integrations","security controls","vulnerability management","compliance requirements","developer velocity","people leadership","hiring","performance management","coaching","developing high-performing engineering teams","stakeholder management","communication skills","influence","align cross-functional partners","strategic thinking","budgets","vendor relationships","build-vs-buy decisions"],"x-skills-preferred":["software supply chain security frameworks","SBOM","vulnerability scanning","dependency management","highly regulated industries","companies with significant compliance requirements","open source projects","industry thought leadership"],"datePosted":"2026-04-24T12:19:36.965Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, platform engineering, infrastructure, source control management, build systems, artifact management, cloud environments, container security, infrastructure-as-code, cloud service integrations, security controls, vulnerability management, compliance requirements, developer velocity, people leadership, hiring, performance management, coaching, developing high-performing engineering teams, stakeholder management, communication skills, influence, align cross-functional partners, strategic thinking, budgets, vendor relationships, build-vs-buy decisions, software supply chain security frameworks, SBOM, vulnerability scanning, dependency management, highly regulated industries, companies with significant compliance requirements, open source projects, industry thought leadership","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":207200,"maxValue":304600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_363bbf83-482"},"title":"Manager, AI Deployment Engineering - Health & Life Sciences","description":"<p><strong>Compensation</strong></p>\n<ul>\n<li>Zone A$251K – $335K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The AI Deployment Engineering team works at the intersection of cutting-edge AI research and real-world application. We partner directly with OpenAI’s most strategic customers to design, implement, and scale production deployments of generative AI systems. Our work ensures that organizations can safely and effectively integrate AI into critical workflows.</p>\n<p>Within this team, the Health &amp; Life Sciences (HLS) segment focuses on enabling pharmaceutical manufacturers, biotechnology companies, medical device organizations, contract research organizations (CROs), and health systems to adopt AI responsibly in regulated environments. We work across clinical, scientific, regulatory, and operational functions to unlock meaningful impact while maintaining the highest standards of safety, privacy, and compliance.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Manager, AI Deployment Engineering to lead our Healthcare &amp; Life Sciences deployment efforts. In this role, you will build and mentor a high-performing team of deployment engineers dedicated to helping HLS organizations move from experimentation to production with OpenAI technologies.</p>\n<p>You will operate at both strategic and technical levels , partnering with executive stakeholders, technical leaders, and cross-functional internal teams to deliver secure, compliant, and high-impact AI deployments. This role requires a strong technical foundation, people leadership experience, and a deep appreciation for the complexity of regulated healthcare and life sciences environments.</p>\n<p>This role is based in San Francisco or Seattle. We use a hybrid work model of 3 days in the office per week.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the strategy and operating model of the HLS AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.</li>\n</ul>\n<ul>\n<li>Hire, mentor, and develop a high-impact team of AI Deployment Engineers focused on HLS production deployments</li>\n</ul>\n<ul>\n<li>Establish operating mechanisms, delivery standards, and best practices tailored to regulated environments</li>\n</ul>\n<ul>\n<li>Foster a culture of technical excellence, customer empathy, and responsible AI deployment</li>\n</ul>\n<ul>\n<li>Drive Successful Enterprise Deployments and oversee end-to-end implementation of generative AI applications in production across healthcare and life sciences organizations</li>\n</ul>\n<ul>\n<li>Guide customers through complex integration efforts spanning R&amp;D, clinical development, regulatory affairs, medical affairs, and IT</li>\n</ul>\n<ul>\n<li>Develop scalable frameworks for secure, compliant AI adoption in environments governed by HIPAA, GxP, FDA, EMA, and related regulatory standards</li>\n</ul>\n<ul>\n<li>Ensure measurable impact through activation, adoption, and workflow transformation (e.g., drug discovery acceleration, clinical documentation support, regulatory submission drafting)</li>\n</ul>\n<ul>\n<li>Collaborate closely with Sales, Account Directors, Solutions Architects, Product, Security, and Legal teams</li>\n</ul>\n<ul>\n<li>Serve as a trusted technical advisor to executive and senior technical stakeholders at enterprise HLS customers</li>\n</ul>\n<ul>\n<li>Provide structured product feedback informed by real-world deployment challenges and industry requirements</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 8+ years of experience in technical delivery, solutions engineering, or deployment roles, including people management experience</li>\n</ul>\n<ul>\n<li>Have led enterprise-scale implementations of AI, ML, or platform technologies</li>\n</ul>\n<ul>\n<li>Bring experience in healthcare or life sciences environments, including familiarity with clinical research, drug development, regulatory operations, or health system infrastructure</li>\n</ul>\n<ul>\n<li>Understand compliance frameworks such as HIPAA, GxP, and global regulatory considerations</li>\n</ul>\n<ul>\n<li>Are comfortable engaging with executive stakeholders while maintaining technical depth</li>\n</ul>\n<ul>\n<li>Enjoy operating in ambiguous, fast-moving environments and building structure where it does not yet exist</li>\n</ul>\n<ul>\n<li>Care deeply about responsible AI and its application in high-stakes domains</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to sensitive and confidential information, including but not limited to, customer data, financial information, and proprietary technology.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_363bbf83-482","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/ec911cb2-6b87-4546-9ec7-6c54a34db84d","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"Full time","x-salary-range":"$251K – $335K","x-skills-required":["AI","ML","Platform Technologies","Healthcare","Life Sciences","Regulated Environments","HIPAA","GxP","FDA","EMA","Regulatory Standards","Compliance Frameworks","Clinical Research","Drug Development","Regulatory Operations","Health System Infrastructure"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:19:36.049Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, ML, Platform Technologies, Healthcare, Life Sciences, Regulated Environments, HIPAA, GxP, FDA, EMA, Regulatory Standards, Compliance Frameworks, Clinical Research, Drug Development, Regulatory Operations, Health System Infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":251000,"maxValue":335000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_68a62835-66b"},"title":"Senior DevOps Engineer","description":"<p>We are seeking a highly skilled and self-motivated Senior Embedded DevOps Engineer to support our engineering teams. This role will focus on driving changes and ensuring adherence to company-established standards for data infrastructure and CI/CD pipelines.</p>\n<p>The ideal candidate will have strong experience working with AWS and/or GCP, cloud-based data streaming and processing services, containerized application deployments, infrastructure automation, and Site Reliability Engineering (SRE) best practices for performance and cost optimization.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure.</li>\n<li>Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE).</li>\n<li>Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.</li>\n<li>Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing.</li>\n<li>Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable</li>\n<li>Familiarity with workflow orchestration services such as Apache Airflow and Google Cloud Composer.</li>\n<li>Develop and maintain automation scripts and tooling using Python to support DevOps processes.</li>\n<li>Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency.</li>\n<li>Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.</li>\n<li>Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies.</li>\n<li>Ensure compliance with security policies and best practices in cloud environments.</li>\n<li>Drive adoption of company standards and influence data teams to align with best DevOps and SRE practices.</li>\n<li>Collaborate with cross-functional teams to improve development workflows and infrastructure.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.</li>\n<li>Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow.</li>\n<li>Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments.</li>\n<li>Hands-on experience with Infrastructure-as-Code (IaC) using Terraform.</li>\n<li>Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions.</li>\n<li>Programming skills in Python for automation and scripting.</li>\n<li>Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch).</li>\n<li>Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering.</li>\n<li>Experience with cost optimization strategies for cloud infrastructure.</li>\n<li>Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams.</li>\n<li>Ability to work collaboratively in an agile environment and support multiple teams.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery).</li>\n<li>Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ).</li>\n<li>Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer.</li>\n<li>Knowledge of service mesh technologies like Istio.</li>\n<li>Experience with GitOps workflows and Kubernetes-native tooling.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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time</p>\n<p>Work Arrangement: Hybrid</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Demo Engineer to design and build high-quality technical demos that highlight the capabilities of OpenAI models and products. You will collaborate with Solutions Engineers and customers to quickly prototype solutions that demonstrate how AI can solve real business problems.</p>\n<p>This role sits at the intersection of engineering, product storytelling, and customer engagement. You will build demos that showcase real-world applications such as customer service automation, AI-powered assistants, developer tools, and intelligent workflows.</p>\n<p>You will also contribute reusable demo assets, reference architectures, and prototype applications that enable the broader go-to-market team to effectively communicate the value of OpenAI technologies.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build compelling demos and prototypes that showcase the capabilities of OpenAI models and APIs across a wide range of use cases.</li>\n</ul>\n<ul>\n<li>Partner with Solutions Engineers and go-to-market teams to develop custom demonstrations for strategic customer engagements.</li>\n</ul>\n<ul>\n<li>Rapidly prototype AI-powered applications that highlight real-world business value, such as copilots, AI agents, automation workflows, and developer tools.</li>\n</ul>\n<ul>\n<li>Translate complex technical capabilities into engaging demonstrations that resonate with both technical and business audiences.</li>\n</ul>\n<ul>\n<li>Maintain a library of reusable demos, starter projects, and technical assets that can be leveraged across customer engagements.</li>\n</ul>\n<ul>\n<li>Collaborate with Product and Engineering teams to stay current on new model capabilities and integrate them into demo experiences.</li>\n</ul>\n<ul>\n<li>Continuously improve demos based on customer feedback, product updates, and emerging AI capabilities.</li>\n</ul>\n<ul>\n<li>Create documentation and walkthroughs that enable internal teams to effectively use and present demo applications.</li>\n</ul>\n<ul>\n<li>Represent the voice of the customer by identifying common use cases and opportunities to showcase OpenAI technology more effectively.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience building applications, prototypes, or technical demos in a developer-facing or customer-facing role.</li>\n</ul>\n<ul>\n<li>Highly comfortable building with Python, JavaScript, or similar languages, and have experience with modern web frameworks and APIs.</li>\n</ul>\n<ul>\n<li>Experience working with Generative AI, LLMs, or machine learning systems, including building prototypes or proof-of-concept applications.</li>\n</ul>\n<ul>\n<li>Strong product intuition and the ability to translate technical capabilities into compelling demonstrations.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<ul>\n<li>Ability to work in fast-moving environments where experimentation and iteration are encouraged.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range: $234K – $260K</li>\n</ul>\n<ul>\n<li>Offers Equity</li>\n</ul>\n<ul>\n<li>Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, paid parental leave, and more.</li>\n</ul>\n<ul>\n<li>Opportunities for professional growth and development.</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic work environment.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1a2ce0e0-f74","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/65780e7c-6cbd-4e01-a437-2142363d855d","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$234K – $260K","x-skills-required":["Python","JavaScript","Generative AI","LLMs","Machine Learning Systems","Web Frameworks","APIs"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:19:17.927Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, JavaScript, Generative AI, LLMs, Machine Learning Systems, Web Frameworks, APIs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":234000,"maxValue":260000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8052904a-0ca"},"title":"Gen AI Lead engineer","description":"<p>We are seeking an expert Lead Generative AI Engineer to architect and build GenAI solutions. 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This is a role for a hands-on builder and strategic thinker who is passionate about solving real-world industrial challenges.</p>\n<p>Your primary responsibilities will include:</p>\n<ul>\n<li>Serving as the technical lead for designing and implementing GenAI solutions.</li>\n<li>Leading the entire lifecycle of AI projects, from translating high-level business needs into well-defined technical problems to deploying and maintaining enterprise-grade agentic solutions in our cloud environment.</li>\n<li>Partnering with IT, PRE, and business teams to ensure the seamless deployment, integration, and operational success of AI/ML solutions within the broader software architecture.</li>\n<li>Applying advanced analytical solutions (including machine learning and statistical models), and conducting analysis that consists of problem formulation, data extraction and pre-processing, modeling, validation, ongoing work, and presentations.</li>\n<li>Working with high-volume, high-dimensional structured and unstructured data from a variety of sources and implementing algorithms to identify anomalies, relationships, and trends.</li>\n<li>Developing complete system designs that include data, pre-processing, modeling, optimization, post-processing, and interfaces for user interaction.</li>\n<li>Interpreting and presenting complex modeling results, system designs, and strategic recommendations to technical peers, cross-functional teams, and senior leadership in a clear and compelling manner.</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>A Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics, or Engineering degree or a related field of study.</li>\n<li>5+ years of professional experience in software engineering, machine learning, or a data-focused role.</li>\n<li>3+ years of hands-on experience developing and deploying machine learning solutions using languages like Python, PySpark, or Scala.</li>\n<li>1+ years of direct, hands-on experience building solutions with Large Language Models (LLMs), agentic frameworks (e.g., LangChain), or related Generative AI technologies.</li>\n<li>Proficiency with SQL and experience engineering data from diverse, high-volume sources.</li>\n</ul>\n<p>Even better, you may have:</p>\n<ul>\n<li>An MS or PhD in a related field.</li>\n<li>Demonstrated success applying ML and AI to solve real-world industrial problems with large-scale data.</li>\n<li>Proficiency with version control (Git) and CI/CD practices within an agile development environment.</li>\n<li>Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets.</li>\n<li>Strong interpersonal and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan-oriented manner.</li>\n<li>A self-starter mentality, with the ability to navigate ambiguity and drive projects forward with minimal direction in a fast-paced environment.</li>\n<li>Ability to work in an environment where problems are not always well-defined.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8052904a-0ca","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford","sameAs":"https://corporate.ford.com/","logo":"https://logos.yubhub.co/corporate.ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/61973","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PySpark","Scala","Large Language Models (LLMs)","agentic frameworks","LangChain","SQL","version control (Git)","CI/CD practices","interface development","data visualizations","insights from large complex data sets"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:19:10.848Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, PySpark, Scala, Large Language Models (LLMs), agentic frameworks, LangChain, SQL, version control (Git), CI/CD practices, interface development, data visualizations, insights from large complex data sets"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_241723a2-98d"},"title":"Data Engineer, Finance","description":"<p><strong>Compensation</strong></p>\n<p>$293K – $325K • Offers Equity</p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.</p>\n<p><strong>About the Role</strong></p>\n<p>The Finance Data team is embedded within the OpenAI CFO Org (not under Engineering nor Product) and our team&#39;s mandate is ambitious yet simple:</p>\n<p>1) The CFO Org has the data required to be Public Company Ready.</p>\n<p>2) The CFO Org has all the data it needs to execute swiftly on our AI first roadmap.</p>\n<p>3) Controllership is able to close the books without any manual spreadsheets in the shortest timeframe and with zero material risks.</p>\n<p>As an Data Engineer on the Finance Data team, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.</p>\n<p>In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.</p>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).</li>\n</ul>\n<ul>\n<li>Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.</li>\n</ul>\n<ul>\n<li>Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).</li>\n</ul>\n<ul>\n<li>Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.</li>\n</ul>\n<ul>\n<li>Solid understanding of Spark and ability to write, debug and optimize Spark code.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n</ul>\n<ul>\n<li>Opportunities for professional growth and development</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<ul>\n<li>Recognition and rewards for outstanding performance</li>\n</ul>\n<ul>\n<li>Access to cutting-edge AI technology and research</li>\n</ul>\n<ul>\n<li>Flexible work arrangements and work-life balance</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and talented individual who is passionate about AI and customer success, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role.</p>\n<p>We are an equal opportunity employer and welcome applications from diverse candidates. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for applied AI engineers to help bring Codex agents from impressive demos to dependable tools. This role is about improving agent performance on real software engineering tasks and closing the gap between research capability and real-world usefulness.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Design and iterate on agent behaviors across real-world coding tasks and long-horizon workflows.</li>\n</ul>\n<ul>\n<li>Work closely with research to develop and run evals to measure agent performance, regressions, failure modes, and edge cases.</li>\n</ul>\n<ul>\n<li>Improve performance through prompting, tool-use strategies, context construction, and model-facing experimentation.</li>\n</ul>\n<ul>\n<li>Analyze failures in production and systematically improve robustness and reliability.</li>\n</ul>\n<ul>\n<li>Build feedback loops and data systems that get better real-task data into evaluation and research.</li>\n</ul>\n<ul>\n<li>Work with product teams to shape user-facing agent experiences and the interfaces the agent depends on.</li>\n</ul>\n<ul>\n<li>Help define what “good” looks like for agents completing complex tasks end-to-end.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You</strong></p>\n<ul>\n<li>Have experience building or shipping machine learning or LLM-powered products.</li>\n</ul>\n<ul>\n<li>Are strong in Python and comfortable with modern ML tooling.</li>\n</ul>\n<ul>\n<li>Have worked on model evaluation, fine-tuning, or prompt design.</li>\n</ul>\n<ul>\n<li>Think in terms of systems and user outcomes, not just model metrics.</li>\n</ul>\n<ul>\n<li>Enjoy debugging messy, real-world failures and turning them into improvements.</li>\n</ul>\n<ul>\n<li>Want to work in the layer that turns research and model potential into systems that actually work for users.</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience with agent frameworks or tool-using LLM systems.</li>\n</ul>\n<ul>\n<li>Research experience with code generation models or developer tooling.</li>\n</ul>\n<ul>\n<li>Experience working with large, messy datasets or production logs.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</p>\n<p>To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.</p>\n<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241).</p>\n<p>[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)</p>\n<p>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. 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This AI-driven role will heavily be dependent on automating real-world attack workflows using Python and LLMs.</p>\n<p>We are looking for a strong Python engineer who is curious about security and wants to work on automating offensive techniques using AI. Cyber Security background is NOT mandatory.</p>\n<p>You will work directly with experienced Red Team professionals to convert real attack logic into scalable, intelligent systems.</p>\n<p>Responsibilities:</p>\n<p>Build Python-based automation around offensive security tools</p>\n<p>Integrate LLM APIs (OpenAI/Anthropic) into real workflows</p>\n<p>Design multi-step workflows (input → tool → AI → decision → next step)</p>\n<p>Parse and enforce structured outputs (JSON) from AI models</p>\n<p>Maintain context/state across tasks and executions</p>\n<p>Develop internal APIs and wrappers for tools and services</p>\n<p>Continuously improve reliability (error handling, retries, edge cases)</p>\n<p>Collaborate with security experts to translate attack techniques into automation</p>\n<p>Must Have Skills:</p>\n<p>Strong Python experience (3–5 years)</p>\n<p>Experience in writing robust, production-grade Python. You must be deeply comfortable with Object-Oriented Programming, decorators, context managers, multi threading and async logic.</p>\n<p>Write custom Python scripts and API wrappers (such as Model Context Protocol servers)</p>\n<p>OOP, clean code, modular design</p>\n<p>Comfortable debugging real-world systems</p>\n<p>Experience with Docker (containerization)</p>\n<p>API &amp; Backend Fundamentals</p>\n<p>REST APIs (build and consume)</p>\n<p>JSON handling, request/response lifecycle</p>\n<p>Hands-on experience with LLM APIs</p>\n<p>Gemini/OpenAI</p>\n<p>Able to send prompts, parse structured responses</p>\n<p>Exposure to LangChain / LangGraph / agent frameworks</p>\n<p>Familiarity with deploying code in GCP (Compute Engine or Cloud Run)</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_503e27b8-353","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Global Career Site","sameAs":"https://careers.ford.com/","logo":"https://logos.yubhub.co/careers.ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/60654","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Object-Oriented Programming","Decorators","Context Managers","Multi Threading","Async Logic","Docker","API & Backend Fundamentals","REST APIs","JSON Handling","LLM APIs","Gemini/OpenAI","LangChain/LangGraph/Agent Frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:17:40.962Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, Object-Oriented Programming, Decorators, Context Managers, Multi Threading, Async Logic, Docker, API & Backend Fundamentals, REST APIs, JSON Handling, LLM APIs, Gemini/OpenAI, LangChain/LangGraph/Agent Frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd7e255f-1f5"},"title":"Dev Rel (Docs & YouTube)","description":"<p>You&#39;ll be the person developers learn Firecrawl from , through docs that actually help them build, YouTube tutorials they watch start to finish, and community presence that makes them feel like they&#39;re building alongside us, not just consuming our API. We have the product. We need the person who makes it impossible to not understand.</p>\n<p><strong>Salary Range:</strong> $150,000–$200,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country&#39;s cost of living.)</p>\n<p><strong>Equity Range:</strong> Up to 0.1%</p>\n<p><strong>Location:</strong> San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)</p>\n<p><strong>Job Type:</strong> Full-Time</p>\n<p><strong>Experience:</strong> 3+ years in developer relations, technical content, or software engineering with a content track record</p>\n<p><strong>Visa:</strong> US Citizenship/Visa required for SF; open for Remote</p>\n<p><strong>About Firecrawl</strong></p>\n<p>Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just over a year, we&#39;ve hit 8 figures in ARR and 100k+ GitHub stars by building the fastest way for developers to get clean, structured web data.</p>\n<p>We&#39;re a small, fast-moving, technical team building essential infrastructure for the AI era. We ship fast and deep.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Own Firecrawl&#39;s technical documentation , rewriting, restructuring, and maintaining docs so both humans and AI agents can discover and use the product effectively</li>\n</ul>\n<ul>\n<li>Run and grow our YouTube channel , scripting, filming, editing, and publishing a consistent cadence of tutorials, walkthroughs, and demos developers actually finish watching</li>\n</ul>\n<ul>\n<li>Build a presence in the AI engineering and open source community , on social, at conferences, in Discord servers, in the places developers actually hang out</li>\n</ul>\n<ul>\n<li>Translate developer feedback into product insights and route them clearly to engineering</li>\n</ul>\n<ul>\n<li>Create content that drives adoption , not just views , by meeting developers where they are in the build process</li>\n</ul>\n<ul>\n<li>Show up on camera and on stage: conference talks, livestreams, Twitter Spaces, wherever our developers are</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<p><strong>An engineer who can teach.</strong> You have a software engineering background and have built with APIs, SDKs, or developer tools. You know what it feels like to hit a wall in someone else&#39;s docs , and you know how to fix it.</p>\n<p><strong>A YouTube operator.</strong> You&#39;ve owned a technical YouTube channel before , not just appeared in videos. You know the full workflow: scripting for retention, filming efficiently, editing for technical audiences, and building a publishing cadence that doesn&#39;t collapse under pressure.</p>\n<p><strong>Fluent in the AI/ML developer ecosystem.</strong> Agents, LLM tooling, orchestration frameworks, RAG pipelines , you speak this language and you&#39;ve built in it. You understand where Firecrawl fits and why developers reach for it.</p>\n<p><strong>Thinks about docs as infrastructure.</strong> You understand that in an agent-first world, documentation needs to be structured for machines as much as humans. You have opinions about how to do that.</p>\n<p><strong>Community-connected.</strong> You have real relationships in the AI engineering or open source world , not just followers. You can open doors for Firecrawl that cold outreach can&#39;t.</p>\n<p>Backgrounds that often do well: DevRel at an API-first or developer tools company, software engineer who started a technical YouTube channel, open source contributor with a content track record.</p>\n<p><strong>What We&#39;re NOT Looking For</strong></p>\n<ul>\n<li>Content marketers who have never shipped code</li>\n</ul>\n<ul>\n<li>People who measure DevRel success in video views over developer adoption</li>\n</ul>\n<ul>\n<li>Anyone waiting for a content calendar to be handed to them before they start creating</li>\n</ul>\n<p><strong>A Note On Pace</strong></p>\n<p>We&#39;re a small team doing a lot. Roles here are loosely defined on purpose , you&#39;ll own things that don&#39;t have a clear owner yet, and that&#39;s a feature, not a bug. If you need your scope fully defined before you can move, this probably isn&#39;t the right fit. If you want to build something that matters inside one of the fastest-growing AI infrastructure companies in the world, let&#39;s talk.</p>\n<p><strong>Benefits &amp; Perks</strong></p>\n<p><strong><strong>Available to all employees</strong></strong></p>\n<p>Salary that makes sense , $150,000–$200,000/year (SF, U.S.-based), based on impact, not tenure</p>\n<p>Own a piece , Up to 0.1% equity in what you&#39;re helping build</p>\n<p>Generous PTO , 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge</p>\n<p>Parental leave , 12 weeks fully paid, for moms and dads</p>\n<p>Wellness stipend , $100/month for the gym, therapy, massages, or whatever keeps you human</p>\n<p>Learning &amp; Development , Expense up to $1,000/year toward anything that helps you grow professionally</p>\n<p>Team offsites , A change of scenery, minus the trust falls</p>\n<p>Sabbatical , 3 paid months off after 4 years, do something fun and new</p>\n<p><strong><strong>Available to US-based full-time employees</strong></strong></p>\n<p>Full coverage, no red tape , Medical, dental, and vision (100% for employees, 50% for spouse/kids) , no weird loopholes, just care that works</p>\n<p>Life &amp; Disability insurance , Employer-paid short-term disability, long-term disability, and life insurance , coverage for life&#39;s curveballs</p>\n<p>Supplemental options , Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind</p>\n<p>Doctegrity telehealth , Talk to a doctor from your couch</p>\n<p>401(k) plan , Retirement might be a ways off, but future-you will thank you</p>\n<p>Pre-tax benefits , Access to FSAs and commuter benefits (US-only) to help your wallet out a bit</p>\n<p>Pet insurance , Because fur babies are family too</p>\n<p><strong><strong>Available to SF-based employees</strong></strong></p>\n<p>SF HQ perks , Snacks, drinks, team lunches, intense ping pong, and peak startup energy</p>\n<p>E-Bike transportation , A loaner electric bike to get you around the city, on us</p>\n<p><strong>Interview Process</strong></p>\n<p><strong>Application Review</strong> , Send us your work: a YouTube channel you&#39;ve grown, docs you&#39;ve owned, or technical content you&#39;ve created. A quick note on what you&#39;d fix about Firecrawl&#39;s docs or content today.</p>\n<p><strong>Intro Chat (~20 min)</strong> , Quick alignment call. We&#39;ll talk about what you&#39;ve built, how you think about developer education, and what you&#39;d tackle first.</p>\n<p><strong>Deep Dive Chat (~45 min)</strong> , Walk us through a real example: a piece of content or docs work that measurably grew developer adoption. Then a live scenario , how would you approach rewriting Firecrawl&#39;s docs for an agent-first world?</p>\n<p><strong>Founder Chat (~30 min)</strong> , Culture, pace, ownership, and how you like to work. Time for your questions too.</p>\n<p><strong>Paid Work Trial (1–2 weeks)</strong> , Build something real: a tutorial, a doc rewrite, or a short-form video. We evaluate on technical accuracy, clarity, and whether a developer would actually use it.</p>\n<p><strong>Decision</strong> , We move fast after the trial.</p>\n<p>If you want to be the voice developers learn Firecrawl from , and you have the engineering chops and content track record to back it up , this is your shot.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cd7e255f-1f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Firecrawl","sameAs":"https://www.firecrawl.dev","logo":"https://logos.yubhub.co/firecrawl.dev.png"},"x-apply-url":"https://jobs.ashbyhq.com/firecrawl/ea5a3aa0-0ef9-4301-91b5-8322a72af775","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"Full time","x-salary-range":"$150K - $200K","x-skills-required":["software engineering","APIs","SDKs","developer tools","technical content","YouTube","AI/ML developer ecosystem","agents","LLM tooling","orchestration frameworks","RAG pipelines"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:17:38.089Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, APIs, SDKs, developer tools, technical content, YouTube, AI/ML developer ecosystem, agents, LLM tooling, orchestration frameworks, RAG pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6325a0a5-119"},"title":"Principal Software Engineer - Data, Personalization - Microsoft AI","description":"<p>As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold , to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot , responsive to your preferences, workflows, and goals , while preserving privacy, security, performance, and scale. We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals. Design data models and APIs that enable Copilot to reason about user context, preferences, and history Build real-time and batch personalization engines that adapt Copilot’s behavior. Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled Optimize for performance, reliability, and cost across diverse workloads and geographies. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP. 3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink. Experience with large scale data systems Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6325a0a5-119","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-software-engineer-data-personalization-microsoft-ai-7/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$163,000 – $296,400 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Azure","AWS","GCP","Kafka","Spark","Flink","Machine Learning","AI platforms","frameworks","APIs"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:17:30.335Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Azure, AWS, GCP, Kafka, Spark, Flink, Machine Learning, AI platforms, frameworks, APIs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":163000,"maxValue":296400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6ca1bab3-645"},"title":"Research Engineer — Reinforcement Learning","description":"<p>You&#39;ll bring reinforcement learning to Firecrawl&#39;s core product , building the training infrastructure, reward pipelines, and fine-tuning systems that make our models meaningfully better at extracting, understanding, and structuring web data.</p>\n<p>This isn&#39;t theoretical RL research. You&#39;ll build your own training infra, run fast experiments, ship models to production, and bridge the gap between classical RL approaches and modern LLM agent systems. If you care as much about training throughput as you do about reward design, this is the role.</p>\n<p><strong>Salary Range:</strong> $180,000–$290,000/year (Range shown is for U.S.-based employees. Compensation outside the U.S. is adjusted fairly based on your country&#39;s cost of living.)</p>\n<p><strong>Equity Range:</strong> Up to 0.15%</p>\n<p><strong>Location:</strong> San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)</p>\n<p><strong>Job Type:</strong> Full-Time</p>\n<p><strong>Experience:</strong> 3+ years in applied RL, ML engineering, or model training , with production systems</p>\n<p><strong>Visa:</strong> US Citizenship/Visa required for SF; N/A for Remote</p>\n<p><strong>Build training infrastructure and reward pipelines from scratch.</strong> Design and operate the systems that train and evaluate Firecrawl&#39;s models. You&#39;ll own the full loop , data collection, reward modeling, training runs, evaluation, and deployment. You build the infra yourself because you&#39;re the one who needs it to work.</p>\n<p><strong>Fine-tune models to achieve state-of-the-art results.</strong> Take foundation models and make them dramatically better at web data extraction, content understanding, and structured output generation. You know how to get from &#39;decent fine-tune&#39; to &#39;best-in-class&#39; and you have the patience and rigor to close that gap.</p>\n<p><strong>Bridge LLM agents and classical RL.</strong> The most interesting problems at Firecrawl sit at the intersection of modern LLM-based agents and classical RL techniques. You&#39;ll design reward signals for agent behaviors, apply RL methods to improve multi-step agent workflows, and figure out where traditional RL approaches outperform prompting , and vice versa.</p>\n<p><strong>Run fast experiments and iterate.</strong> You design experiments that test meaningful hypotheses, run them quickly, and make decisions based on results. You don&#39;t spend weeks on experiment infrastructure before getting a single result. Speed of iteration is a core part of how you work.</p>\n<p><strong>Communicate clearly to non-RL people.</strong> RL can be opaque. You translate your work into language that engineers, product people, and leadership can understand and act on. You know how to explain why a reward function matters without requiring everyone to read the paper.</p>\n<p><strong>Collaborate closely with the team.</strong> Work directly with the Search/IR-focused Research Engineer and the engineering team to connect RL improvements with search, ranking, and the broader product roadmap.</p>\n<p><strong>Builds their own training infra and reward pipelines.</strong> You don&#39;t wait for an ML platform team to set things up. You build the training loops, reward models, data pipelines, and evaluation frameworks yourself , because you understand that infra choices directly affect the quality of results. You&#39;ve operated GPU clusters, managed training runs, and debugged convergence issues in production.</p>\n<p><strong>Can fine-tune models to SOTA.</strong> You&#39;ve taken models from baseline to best-in-class on tasks that matter. You understand the full fine-tuning lifecycle , data curation, training dynamics, hyperparameter sensitivity, evaluation methodology , and you have the taste to know when a model is actually good versus when the eval is flattering.</p>\n<p><strong>Bridges LLM agents and classical RL.</strong> You&#39;re fluent in both worlds. You understand PPO, RLHF, reward modeling, and policy optimization , and you understand how modern LLM agents work, where they fail, and how RL techniques make them better. You see connections between these domains that most people miss.</p>\n<p><strong>Production-minded.</strong> You care about whether your models work in production, not just on benchmarks. You&#39;ve deployed models that serve real traffic and made hard tradeoffs between model quality, latency, and cost. Research that doesn&#39;t ship isn&#39;t research that matters here.</p>\n<p><strong>Runs fast experiments and communicates clearly.</strong> You&#39;d rather run three rough experiments this week than one polished one next month. When you have results, anyone on the team can understand what they mean , no decoder ring required.</p>\n<p><strong>Backgrounds that tend to do well:</strong> RL engineers at AI labs or applied ML teams who&#39;ve shipped models to production. Researchers who&#39;ve done RLHF or reward modeling for LLM systems. ML engineers who&#39;ve built training infrastructure at startups and cared as much about the pipeline as the model. People who&#39;ve worked at the intersection of RL and language models , whether in academic labs with a production bent or at companies building agent systems.</p>\n<p><strong>What We&#39;re NOT Looking For:</strong></p>\n<p><strong>Pure theorists.</strong> If your best RL work lives in a paper and you&#39;ve never trained a model on real data at real scale, this isn&#39;t the role. We need someone who builds and ships.</p>\n<p><strong>Researchers who need a platform team.</strong> If you expect training infrastructure, data pipelines, and evaluation frameworks to be set up before you can be productive, you&#39;ll be frustrated here. You build the tools you need.</p>\n<p><strong>People who only know one paradigm.</strong> Deep in classical RL but never worked with LLMs? LLM fine-tuner who&#39;s never touched RL? You&#39;ll be missing half the picture. This role requires fluency in both.</p>\n<p><strong>Slow iterators.</strong> If your standard experiment cycle is measured in weeks, not days, you&#39;ll struggle with the pace. We need someone who can run a meaningful experiment, interpret results, and decide next steps within a day or two.</p>\n<p><strong>Black-box communicators.</strong> If your typical update is a wall of metrics only another RL researcher can parse, this isn&#39;t the right fit. We need someone who can explain what&#39;s working, what&#39;s not, and why it matters , to people without RL PhDs.</p>\n<p><strong>A Note On Pace:</strong> We operate at an absurd level of urgency because the window for what we&#39;re building won&#39;t stay open forever. If that excites you, keep reading. If it doesn&#39;t, no hard feelings , but this role probably isn&#39;t for you.</p>\n<p><strong>Benefits &amp; Perks:</strong></p>\n<p><strong>Available to all employees</strong></p>\n<ul>\n<li><strong>Salary that makes sense</strong> , $180,000–$290,000/year, based on impact, not tenure</li>\n</ul>\n<ul>\n<li><strong>Own a piece</strong> , Up to 0.15% equity in what you&#39;re helping build</li>\n</ul>\n<ul>\n<li><strong>Generous PTO</strong> , 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge</li>\n</ul>\n<ul>\n<li><strong>Parental leave</strong> , 12 weeks fully paid, for moms and dads</li>\n</ul>\n<ul>\n<li><strong>Wellness stipend</strong> , $100/month for the gym, therapy, massages, or whatever keeps you human</li>\n</ul>\n<ul>\n<li><strong>Learning &amp; Development</strong> , Expense up to $1,000/year toward anything that helps you grow professionally</li>\n</ul>\n<ul>\n<li><strong>Team offsites</strong> , A change of scenery, minus the trust falls</li>\n</ul>\n<ul>\n<li><strong>Sabbatical</strong> , 3 paid months off after 4 years, do something fun and new</li>\n</ul>\n<p><strong>Available to US-based full-time employees</strong></p>\n<ul>\n<li><strong>Full coverage, no red tape</strong> , Medical, dental, and vision (100% for</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6ca1bab3-645","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Firecrawl","sameAs":"https://www.firecrawl.dev","logo":"https://logos.yubhub.co/firecrawl.dev.png"},"x-apply-url":"https://jobs.ashbyhq.com/firecrawl/26abaf11-ff85-4f8d-ba44-2b6d32aae2a1","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$180,000–$290,000/year","x-skills-required":["Reinforcement Learning","Machine Learning","Deep Learning","Python","GPU Clusters","Training Runs","Evaluation Frameworks","Data Pipelines","Reward Modeling","Policy Optimization","LLM Agents","Classical RL Techniques"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:17:17.208Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Reinforcement Learning, Machine Learning, Deep Learning, Python, GPU Clusters, Training Runs, Evaluation Frameworks, Data Pipelines, Reward Modeling, Policy Optimization, LLM Agents, Classical RL Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":290000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d183f148-a82"},"title":"Senior Applied Scientist","description":"<p>The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for a Senior Applied Scientist to help design, build, and ship advanced AI and machine learning solutions,spanning large language models (LLMs), retrieval augmented generation (RAG), learning-to-ranking, and entity understanding,to deliver high-quality, trustworthy local search experiences at scale.</p>\n<p>As a Senior Applied Scientist on Bing Places, you will work on challenging problems that require deep technical expertise and a solid focus on real-world impact. You will work end-to-end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting. You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<p>Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production.</p>\n<p>Design, implement, and evaluate ML-and LLM-based models that improve Bing Places quality, relevance, and coverage.</p>\n<p>Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics.</p>\n<p>Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation.</p>\n<p>Own experimentation pipelines, including offline validation and large-scale online A/B flighting.</p>\n<p>Partner closely with engineers to integrate models into production systems and ensure long-term reliability and performance.</p>\n<p>Drive technical direction within your problem space and influence broader modeling and platform decisions.</p>\n<p>Document and communicate results through technical design reviews, papers, and patent filings.</p>\n<p>Qualifications:</p>\n<p>Required qualifications include a bachelor’s degree in statistics, econometrics, computer science, electrical or computer engineering, or a related field, and 4+ years of related experience, or a master’s degree in a related field and 3+ years of related experience, or a doctorate in a related field and 1+ year of related experience.</p>\n<p>Preferred qualifications include a master’s degree in a related field and 6+ years of related experience, or a doctorate in a related field and 3+ years of related experience.</p>\n<p>Solid foundation in machine learning, statistical methods, and data-driven problem-solving.</p>\n<p>Hands-on experience developing and evaluating models on large-scale, real-world datasets.</p>\n<p>Proficiency in Python and experience with modern ML frameworks.</p>\n<p>Solid understanding of experimentation methodologies.</p>\n<p>Ability to independently scope problems and deliver high-quality solutions in ambiguous environments.</p>\n<p>Solid collaboration skills and experience working with engineering and product partners.</p>\n<p>Ability to clearly communicate technical concepts and trade-offs to both technical and non-technical audiences.</p>\n<p>4+ years of experience applying AI solutions or LLMs to real-world systems.</p>\n<p>Background in search, information retrieval, knowledge graphs, or local/entity understanding.</p>\n<p>Experience shipping models into large-scale production systems with real user impact.</p>\n<p>Track record of publications or granted/pending patents.</p>\n<p>Familiarity with distributed training, model optimization, and production ML infrastructure.</p>\n<p>Comfort operating across the full lifecycle,from research and prototyping to production and live operations.</p>\n<p>#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d183f148-a82","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-60/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 – $234,700 per year","x-skills-required":["Machine Learning","Python","Modern ML frameworks","Experimentation methodologies","Data-driven problem-solving","Large-scale, real-world datasets","Distributed training","Model optimization","Production ML infrastructure"],"x-skills-preferred":["Search","Information retrieval","Knowledge graphs","Local/entity understanding","Publications","Patents","Collaboration","Communication"],"datePosted":"2026-04-24T12:17:10.137Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Python, Modern ML frameworks, Experimentation methodologies, Data-driven problem-solving, Large-scale, real-world datasets, Distributed training, Model optimization, Production ML infrastructure, Search, Information retrieval, Knowledge graphs, Local/entity understanding, Publications, Patents, Collaboration, Communication","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_17320bff-7cb"},"title":"Head of Partner Growth, Embedded Payroll","description":"<p>About Gusto</p>\n<p>At Gusto, we&#39;re on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.</p>\n<p>All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.</p>\n<p>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.</p>\n<p><strong>The Opportunity</strong></p>\n<p>Gusto Embedded Payroll (GEP) is one of Gusto&#39;s highest-growth bets , a platform business that enables software companies to offer Gusto-powered payroll directly within their own products. We&#39;re looking for a Head of Partner Growth to lead the team responsible for making our embedded partners successful: driving go-to-market execution, growing partner revenue, and building the operational and strategic frameworks that will scale this business toward $100M+.</p>\n<p>This is a player-coach leadership role. You&#39;ll manage a cross-functional team spanning Partner Success Management (PSM) and Partner enablement, while also staying deeply hands-on with our most strategic partner relationships. You&#39;ll own the partner growth playbook end-to-end: from GTM planning and launch sequencing through ongoing optimization, escalation management, and executive relationship development.</p>\n<p>Gusto&#39;s partnerships organization focuses on evaluating and executing strategic partnerships in new categories. Gusto Embedded Payroll allows us to bring our people platform to thousands more businesses than those we serve directly and will play a key role in Gusto&#39;s growth.</p>\n<p><strong>What It&#39;s Like to Work in This Role</strong></p>\n<p><strong>Lead &amp; Develop</strong></p>\n<ul>\n<li>Build, lead, and develop a high-performing team of Partner Success Managers and Partner Enablement</li>\n<li>Set the operational rhythm for the partner growth function , including planning cadences, escalation workflows, and performance management</li>\n<li>Coach team members on partner strategy, executive communication, and cross-functional navigation</li>\n<li>Drive Enablement with the ideation, creation, and execution of enablement frameworks and materials.</li>\n<li>Drive AI fluency across the team , embedding AI tools and workflows into day-to-day partner operations, GTM planning, and internal knowledge management to accelerate output and decision quality</li>\n</ul>\n<p><strong>Strategize &amp; Plan</strong></p>\n<ul>\n<li>Own the partner growth strategy across the GEP portfolio, including partner segmentation, prioritization, and resource allocation</li>\n<li>Develop and maintain per-partner operating plans with clear success metrics, in collaboration with Product, Engineering, Marketing, and Sales Enablement</li>\n<li>Build repeatable GTM playbooks , covering co-marketing motions, sales enablement, content roadmaps, and launch sequencing , tailored to each partner&#39;s distribution model and ICP</li>\n<li>Translate portfolio-level data (revenue, attach rates, funnel performance) into strategic narratives for leadership</li>\n</ul>\n<p><strong>Operate &amp; Execute</strong></p>\n<ul>\n<li>Drive success for our partners and their end customers through adoption, activation, and retention of Gusto-powered embedded products</li>\n<li>Own the full marketing funnel and sales motion with partners , from top-of-funnel demand generation through conversion, onboarding, and expansion</li>\n<li>Manage complex, high-stakes partner relationships directly , including contract negotiations, executive escalations, and cross-functional alignment on roadmap priorities</li>\n<li>Lead partner incident response and escalation management with structured, cross-functional workflows</li>\n</ul>\n<p><strong>Build for Scale</strong></p>\n<ul>\n<li>Create and expand the feedback loop between partners, their end users, and Gusto&#39;s internal product, marketing, engineering, and operations teams</li>\n<li>Design frameworks, templates, and processes that enable the team to manage a growing partner portfolio without linear headcount growth</li>\n<li>Identify and implement AI-powered workflows and tools that improve team efficiency, partner reporting, and knowledge management</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>12-15 years of experience, with 8+ years in a people management role and 7+ years in partner-facing or channel-facing roles</li>\n<li>Partner-side perspective: Has operated on the partner or channel side of the table , understands how partners evaluate, prioritize, and activate embedded or referral relationships</li>\n<li>Farmer mentality: Wired to grow and deepen existing partner relationships through trust-building, strategic account planning, and proactive expansion , not just hunting new deals</li>\n<li>Methodical operator: Builds repeatable playbooks, escalation frameworks, and operational rhythms rather than relying on one-off heroics. Strong systems thinker</li>\n<li>GTM playbook experience: Hands-on experience building go-to-market plans from scratch , including co-marketing, keyword strategies, content roadmaps, and launch sequencing</li>\n<li>Full-funnel fluency: Understands the complete marketing and sales journey from demand gen through conversion, activation, and retention. Can diagnose where a partner motion is leaking value and prescribe the right intervention</li>\n<li>AI fluency: Actively uses AI tools (e.g., LLMs, automation platforms) to accelerate workflows, improve decision quality, and build team capability. Comfortable leading an AI adoption agenda within a team</li>\n<li>Executive communicator: Strong ghostwriter and strategic communicator who can represent the partnership function credibly with C-suite stakeholders , both internally and at partner organizations</li>\n<li>Strong sense of ownership and resilience: Thrives in ambiguity, takes initiative, and drives outcomes without waiting for permission</li>\n<li>Exceptional written and verbal communication: Can shift register fluently between partner-facing emails, internal Slack, leadership documents, and board-level narratives</li>\n</ul>\n<p><strong>Strong Nice-to-Haves</strong></p>\n<ul>\n<li>Experience with embedded or platform business models (APIs, developer tools, B2B2B)</li>\n<li>Knowledge of payroll, HR tech, or fintech software ecosystems</li>\n<li>Experience managing partner P&amp;Ls, cost-to-manage models, or portfolio-level financial analysis</li>\n<li>&quot;Gets&quot; the building-mode opportunity , has scaled a partner function from early stage, not just inherited a mature program</li>\n</ul>\n<p>Our cash compensation amount for this role is targeted at:</p>\n<p>$230,215 - $270,500 in San Francisco, CA; New York, NY $195,745 - $230,000 in Denver, CO; Phoenix, AZ; Atlanta, GA; Chicago, IL; Las Vegas, NV</p>\n<p>If you are outside of the geographic areas above, your application will not be considered at this time. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.</p>\n<p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto&#39;s subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.</p>\n<p>Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_17320bff-7cb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/7819484","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230,215 - $270,500","x-skills-required":["partner growth","embedded payroll","partner success management","partner enablement","AI fluency","GTM planning","launch sequencing","escalation management","executive relationship development","cross-functional navigation","operational rhythm","performance management","repeatable playbooks","sales enablement","content roadmaps","co-marketing motions","demand generation","conversion","onboarding","expansion","partner incident response","structured workflows","feedback loop","frameworks","templates","processes","AI-powered workflows","team efficiency","partner reporting","knowledge management"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:17:07.108Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver, CO;San Francisco, CA;New York, NY;Las Vegas, NV;Atlanta, GA;Chicago, IL;Phoenix, AZ"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"partner growth, embedded payroll, partner success management, partner enablement, AI fluency, GTM planning, launch sequencing, escalation management, executive relationship development, cross-functional navigation, operational rhythm, performance management, repeatable playbooks, sales enablement, content roadmaps, co-marketing motions, demand generation, conversion, onboarding, expansion, partner incident response, structured workflows, feedback loop, frameworks, templates, processes, AI-powered workflows, team efficiency, partner reporting, knowledge management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230215,"maxValue":270500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba881a49-c97"},"title":"Staff Software Engineer, AI Foundations","description":"<p>You&#39;ll own and evolve the technical foundations that power all of Gamma&#39;s AI features, building the tools and frameworks that enable engineers across the company to ship high-quality AI experiences at scale.</p>\n<p>As a Staff Engineer focused on AI Foundations, you&#39;ll balance hands-on engineering with strategic leadership. You&#39;ll ship production code while maintaining strategic perspective, focusing on high-leverage, technically challenging work. You&#39;ll elevate engineering quality across the team through code review and mentorship, proactively identify opportunities and misalignment across our Engineering, Product, and Design teams, and partner with EM, PM, and cross-functional leads to set the roadmap. You&#39;ll bring a research-oriented approach to novel AI quality challenges.</p>\n<p>Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Owning and evolving the technical foundations for our AI features, including AI quality and correctness evals, reliability and observability, model routing, and our LLM prompt composition framework (AIJSX)</li>\n<li>Shipping production code while maintaining strategic perspective, focusing on high-leverage, technically challenging or architecturally complex work</li>\n<li>Elevating engineering quality and effectiveness across the team, setting technical direction and raising the bar through code review, design feedback, and mentorship</li>\n<li>Proactively identifying opportunities and misalignment within EPD and our roadmap, helping resolve them through technical leadership</li>\n<li>Partnering with EM, PM, and cross-functional leads to set the roadmap for AI foundations and tooling</li>\n<li>Building systems that compound and enable other engineers to ship AI features faster and with higher quality</li>\n</ul>\n<p>You&#39;ll bring:</p>\n<ul>\n<li>7+ years of software engineering experience with at least 1 year building with AI generative technologies</li>\n<li>Prior relevant experience in developer tooling or frameworks, orchestration, observability and monitoring, ML quality, evals, or data engineering</li>\n<li>Prompt engineering and context engineering experience with deep understanding of LLM capabilities and limitations</li>\n<li>Expertise architecting, building, testing, and maintaining modern complex web applications</li>\n<li>Research-oriented approach to problem-solving with comfort working in ambiguity and exploring novel solutions to AI quality challenges</li>\n<li>Exceptional attention to detail and quality obsession, caring deeply about output quality across all dimensions</li>\n<li>Ability to design systems that balance security, usability, and performance</li>\n<li>Strong communication skills and experience influencing technical strategy across teams</li>\n<li>High EQ with empathetic, reflective, self-aware, growth-mindset approach</li>\n</ul>\n<p>The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $310K plus benefits &amp; equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ba881a49-c97","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gamma","sameAs":"https://gamma.com","logo":"https://logos.yubhub.co/gamma.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/gamma/41ddbe46-0acf-42a7-a02e-d033af10700b","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"Full time","x-salary-range":"$230K - $310K","x-skills-required":["software engineering","AI generative technologies","developer tooling","frameworks","orchestration","observability and monitoring","ML quality","evals","data engineering","prompt engineering","context engineering","LLM capabilities and limitations","architecting","building","testing","maintaining modern complex web applications","research-oriented approach","problem-solving","ambiguity","novel solutions","AI quality challenges","attention to detail","quality obsession","output quality","security","usability","performance"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:16:48.567Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, AI generative technologies, developer tooling, frameworks, orchestration, observability and monitoring, ML quality, evals, data engineering, prompt engineering, context engineering, LLM capabilities and limitations, architecting, building, testing, maintaining modern complex web applications, research-oriented approach, problem-solving, ambiguity, novel solutions, AI quality challenges, attention to detail, quality obsession, output quality, security, usability, performance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_baad2681-2b6"},"title":"Engineering Manager, Platform","description":"<p><strong>About the role</strong></p>\n<p>You&#39;ll lead Gamma&#39;s Platform organisation as we scale to serve hundreds of millions of users. This means overseeing the critical systems that power everything: infrastructure, security, identity, and the foundational platforms that enable product teams to move fast while maintaining world-class reliability and performance.</p>\n<p>You&#39;ll manage a team of 15–20 engineers across multiple domains, balancing technical vision with people leadership.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Lead and mentor a team of 15–20 platform engineers across infrastructure, identity, security, and app platform domains</li>\n<li>Guide senior and staff engineers in making strategic technical decisions about architecture, scalability, security, and reliability</li>\n<li>Own the technical roadmap for platform systems including AWS infrastructure, identity and authentication, security tooling, and developer platform capabilities</li>\n<li>Establish operational excellence practices including incident response, on-call rotations, SLAs, and system observability</li>\n<li>Champion security-first thinking and compliance requirements (SOC 2, GDPR) across the engineering organisation</li>\n<li>Drive platform engineering hiring and onboarding, collaborating with recruiting and leadership to build world-class teams</li>\n</ul>\n<p><strong>What you&#39;ll bring</strong></p>\n<ul>\n<li>8+ years of experience in platform engineering, infrastructure, backend systems, or security, with deep proficiency in AWS, distributed systems, and authentication systems</li>\n<li>4+ years managing and developing engineering teams at high-growth SaaS companies, with experience leading across multiple technical domains or managing managers</li>\n<li>Deep understanding of cloud infrastructure, identity and authentication systems, security engineering, and observability, with strong knowledge of compliance frameworks like SOC 2 and ISO 27001</li>\n<li>Demonstrated track record delivering complex infrastructure migrations, security initiatives, and platform improvements while maintaining reliability</li>\n<li>Excellent communication skills with the ability to translate complex infrastructure and security concepts for product teams and leadership</li>\n</ul>\n<p><strong>Compensation range</strong></p>\n<p>The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $250K - $350K plus benefits &amp; equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_baad2681-2b6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gamma","sameAs":"https://www.gamma.com","logo":"https://logos.yubhub.co/gamma.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/gamma/1bcffe36-46d8-42db-a891-35ed8d5159f6","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$250K - $350K","x-skills-required":["AWS","distributed systems","authentication systems","cloud infrastructure","identity and authentication systems","security engineering","observability","compliance frameworks","SOC 2","ISO 27001"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:16:43.994Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AWS, distributed systems, authentication systems, cloud infrastructure, identity and authentication systems, security engineering, observability, compliance frameworks, SOC 2, ISO 27001","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":350000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c2419ec4-6fb"},"title":"Research Engineer, RL Infrastructure and Reliability (Knowledge Work)","description":"<p><strong>About the role</strong></p>\n<p>The Knowledge Work team builds the training environments and evaluations that make Claude effective at real-world professional workflows , searching, analysing, and creating across the tools and documents knowledge workers use every day.</p>\n<p>As that work scales, the systems behind it need to be as rigorous as the research itself. We are looking for a Research Engineer to own the reliability, observability, and infrastructure foundation that the team&#39;s research depends on.</p>\n<p>You will be responsible for ensuring our training and evaluation runs remain stable, well-instrumented, and high-quality as they grow in scale and complexity.</p>\n<p>A core part of this role is shifting reliability work from reactive to proactive: hardening systems, stress-testing at realistic scale, and building the observability and tooling that surface problems early , so researchers can stay focused on research rather than incident response.</p>\n<p>You will be the team&#39;s stable, context-rich owner for environment health and evaluation integrity, and the primary point of contact for partner teams when issues arise.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Serve as the dedicated reliability owner for the Knowledge Work training environments, providing continuity of context and reducing the operational overhead of rotating ownership</li>\n<li>Own a clean, canonical set of evaluation tools and processes for Knowledge Work capabilities, including the process used for model releases</li>\n<li>Build and automate observability, dashboards, and operational tooling for our training environments and evaluation systems, with an emphasis on high signal-to-noise: a small set of trusted metrics and alerts rather than sprawling instrumentation</li>\n<li>Proactively harden environments and evaluation systems through load testing, fault injection, and stress testing at realistic scale, so failures surface early rather than during critical training work</li>\n<li>Act as the primary point of contact for partner training and infrastructure teams when issues in our environments arise, and drive incidents to resolution</li>\n<li>Reduce the operational burden on researchers so they can stay focused on research</li>\n</ul>\n<p><strong>Minimum Qualifications:</strong></p>\n<ul>\n<li>Highly experienced Python engineer who ships reliable, well-instrumented code that teammates trust in production</li>\n<li>Demonstrated experience operating ML or distributed systems at scale, including significant on-call and incident-response experience</li>\n<li>Strong SRE or production-engineering mindset , reaching for SLOs, load tests, and failure injection before reaching for more dashboards</li>\n<li>Foundational ML knowledge sufficient to understand what a training environment or evaluation is actually measuring, and recognise when an evaluation has become stale or gameable</li>\n<li>Able to read research code and reason evaluation integrity</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>5+ years of experience operating ML or distributed systems at scale</li>\n<li>Experience building or operating RL environments, agent harnesses, or LLM evaluation frameworks</li>\n<li>Familiarity with reward modelling, evaluation design, or detecting and mitigating reward hacking</li>\n<li>Experience with observability stacks (metrics, tracing, structured logging) and operational dashboard tooling</li>\n<li>Background in chaos engineering, fault injection, or large-scale load testing</li>\n<li>Experience with data quality pipelines, drift detection, or evaluation-set curation and versioning</li>\n<li>Familiarity with large-scale training or inference infrastructure (schedulers, multi-agent orchestration, sandboxed execution)</li>\n<li>Prior experience as a dedicated reliability or operations owner embedded within a research team</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>How we’re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.</p>\n<p><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c2419ec4-6fb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5197337008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$850,000 USD","x-skills-required":["Python","ML","Distributed Systems","SRE","Production-Engineering","Observability","Dashboards","Operational Tooling","Load Testing","Fault Injection","Stress Testing","Reliability","Infrastructure Foundation","Evaluation Integrity"],"x-skills-preferred":["RL Environments","Agent Harnesses","LLM Evaluation Frameworks","Reward Modelling","Evaluation Design","Chaos Engineering","Data Quality Pipelines","Drift Detection","Evaluation-Set Curation","Versioning","Large-Scale Training","Inference Infrastructure","Schedulers","Multi-Agent Orchestration","Sandboxed Execution"],"datePosted":"2026-04-24T12:16:31.677Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, ML, Distributed Systems, SRE, Production-Engineering, Observability, Dashboards, Operational Tooling, Load Testing, Fault Injection, Stress Testing, Reliability, Infrastructure Foundation, Evaluation Integrity, RL Environments, Agent Harnesses, LLM Evaluation Frameworks, Reward Modelling, Evaluation Design, Chaos Engineering, Data Quality Pipelines, Drift Detection, Evaluation-Set Curation, Versioning, Large-Scale Training, Inference Infrastructure, Schedulers, Multi-Agent Orchestration, Sandboxed Execution","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_10ae3229-b84"},"title":"Engineering Manager, Auth0 FGA Developer Platform","description":"<p>Secure Every Identity, from AI to Human</p>\n<p>Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations 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.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p><strong>Job Overview</strong></p>\n<p>We are looking for an Engineering Manager to lead the FGA Developer Tooling team in India.</p>\n<p>This team owns the end-to-end developer experience for FGA across OSS and SaaS, including SDKs in Go, JavaScript, .NET, Python, Java and other languages, the SDK generator that powers them, CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. 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We love working together to stay creative and connected, with flexibility to work from home when focus matters most.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Own the reliability, availability, and performance of Gamma&#39;s production systems across our AWS infrastructure</li>\n<li>Build observability infrastructure from the ground up: metrics, logging, tracing, and alerting that give the team genuine visibility into system health before users feel the impact</li>\n<li>Design and ship automation that reduces toil, makes deployments safer, and gets us back on our feet faster when things go wrong</li>\n<li>Lead incident response and blameless post-mortems, then follow through on the systemic fixes that keep the same issues from coming back</li>\n<li>Partner with engineering teams on architecture reviews, SLO and SLI design, and reliability best practices that scale with the product</li>\n<li>Manage and optimize our compute, networking, databases, and managed services</li>\n</ul>\n<p><strong>What you&#39;ll bring</strong></p>\n<ul>\n<li>5+ years in site reliability engineering, DevOps, or systems engineering with deep, hands-on AWS expertise</li>\n<li>Strong programming skills in Python, Go, or TypeScript/Node.js, applied to building real tools and automation</li>\n<li>Solid experience with infrastructure-as-code (Terraform, CloudFormation) and end-to-end observability solutions</li>\n<li>Track record of making systems meaningfully more reliable through automation, smarter monitoring, and architectural improvements</li>\n<li>Deep understanding of networking, distributed systems, containerization (Docker, Kubernetes), and database performance at scale</li>\n<li>Sharp incident management instincts and the debugging skills to navigate complex production failures</li>\n<li>Experience scaling SaaS products to millions of users, or background with Kafka, chaos engineering, or service mesh technologies (Nice to have)</li>\n<li>AWS certifications, or experience with security and compliance frameworks like SOC 2 or ISO 27001 (Nice to have)</li>\n</ul>\n<p><strong>Compensation range:</strong></p>\n<p>The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $310K plus benefits &amp; equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9d0181ff-f94","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gamma","sameAs":"https://gamma.com","logo":"https://logos.yubhub.co/gamma.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/gamma/365c8133-e9c1-4bcb-b8f1-975d96115503","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$230K - $310K","x-skills-required":["AWS","Python","Go","TypeScript/Node.js","Terraform","CloudFormation","observability solutions","infrastructure-as-code","DevOps","site reliability engineering","systems engineering","networking","distributed systems","containerization","database performance"],"x-skills-preferred":["Kafka","chaos engineering","service mesh technologies","AWS certifications","security and compliance frameworks"],"datePosted":"2026-04-24T12:15:30.768Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AWS, Python, Go, TypeScript/Node.js, Terraform, CloudFormation, observability solutions, infrastructure-as-code, DevOps, site reliability engineering, systems engineering, networking, distributed systems, containerization, database performance, Kafka, chaos engineering, service mesh technologies, AWS certifications, security and compliance frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fc4a0972-622"},"title":"Principal Product Manager, AI Model Security","description":"<p>Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more.</p>\n<p>As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. 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This is a hands-on engineering role for someone who wants to ship production code into a globally deployed AI platform,developing adaptive defenses, agentic offensive security, and security architectures that scale with autonomy.</p>\n<p>The problems are technically deep, often unsolved, and central to making advanced AI systems deployable in the real world. Most security roles focus on protecting existing systems. This role helps define the security architecture for systems that are still being invented.</p>\n<p>You will work at the intersection of AI, security, privacy, and distributed systems,building defenses that enable safe autonomy rather than limiting innovation. If you want to shape how agentic AI is secured at global scale, this is a uniquely high-impact opportunity.</p>\n<p>As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build secure, high-performance platform components that support Copilot’s agentic workflows across cloud and device environments.</li>\n</ul>\n<ul>\n<li>Develop novel security mechanisms for agentic AI systems, including real-time intent validation, information-flow controls, isolation boundaries, and abuse-resistant orchestration.</li>\n</ul>\n<ul>\n<li>Eliminate entire classes of vulnerabilities by creating secure-by-default APIs, sandboxing layers, and hardened system interfaces.</li>\n</ul>\n<ul>\n<li>Build and operate offensive security tooling and agents that continuously probe Copilot’s autonomy, reasoning paths, and trust boundaries.</li>\n</ul>\n<ul>\n<li>Partner closely with AI researchers, platform engineers, and product teams to translate research and prototypes into production-ready security features.</li>\n</ul>\n<ul>\n<li>Write high-quality, 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Independently identify gaps in detection coverage and propose, implement, and tune new DLP use cases to address emerging insider risk scenarios.</p>\n<p><strong>Cloud &amp; SaaS Telemetry Analysis:</strong> Work with Security Engineering department to ingest and normalize high-fidelity telemetry from cloud environments, SaaS services, and endpoint agents into the Insider Risk security stack/tooling.</p>\n<p><strong>Behavioural Detection Development:</strong> Design and implement technical &#39;tripwires&#39; and behavioural models that identify patterns associated with data exfiltration, such as unusual download volumes, unauthorized file sharing, or anomalous access to sensitive repositories.</p>\n<p><strong>Data Pipeline Oversight:</strong> Define telemetry requirements and partner with Security Engineering to build and maintain high-fidelity data pipelines from DLP agents and cloud providers into our monitoring platforms.</p>\n<p><strong>Technical Incident Support:</strong> Serve as the technical subject matter expert during complex investigations, providing deep-dive forensic analysis, log reconstruction and evidence gathering and preservation. Drive improvements to investigative tooling, detection feedback loops, and post-incident telemetry requirements.</p>\n<p><strong>Infrastructure Maintenance:</strong> Manage the health, configuration, and continuous optimization of the Insider Risk technology stack.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a073ba96-c0e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4674246006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["Data Loss Prevention (DLP)","Cloud-native security tools","Endpoint agents","SaaS services","Security Engineering"],"x-skills-preferred":["User and Entity Behaviour Analytics (UEBA)","Cloud Security Posture Management (CSPM)","Data classification frameworks","Global privacy regulations","High-sensitivity environments"],"datePosted":"2026-04-24T12:15:15.918Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA/ San Franciso, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Loss Prevention (DLP), Cloud-native security tools, Endpoint agents, SaaS services, Security Engineering, User and Entity Behaviour Analytics (UEBA), Cloud Security Posture Management (CSPM), Data classification frameworks, Global privacy regulations, High-sensitivity environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_01d26760-398"},"title":"Lead Data Scientist","description":"<p>You&#39;ll be Gamma&#39;s first Data Scientist, turning massive volumes of user data and AI outputs into insights that shape how millions of people create content. 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They will have a track record of hiring across levels, from PMs to Directors to VPs, with strong judgment on what &#39;great&#39; looks like at each.</p>\n<p>They will DRIVE sourcing strategy (roughly 25–30% of your time), going beyond inbound to build proactive outreach for senior and hard-to-fill roles. They will use data to tell the story , diagnosing pipeline health, surfacing insights to leadership, and making decisions that balance speed with quality.</p>\n<p>They will CHAMPION the candidate experience from first touch to offer close, making sure every interaction reflects Duolingo&#39;s brand and values. They will build the infrastructure , whether that&#39;s interview frameworks, leveling guidance, or hiring playbooks , that scales beyond you.</p>\n<p>Exceptional candidates will have experience leading or mentoring a recruiting team, even informally. They will have deep market knowledge of the Product talent landscape, including how to position Duolingo competitively. They will have a history of building repeatable hiring systems that improve quality and efficiency at scale.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ebff3f86-40c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Duolingo","sameAs":"https://www.duolingo.com/","logo":"https://logos.yubhub.co/duolingo.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/duolingo/jobs/8517116002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$163,200-$244,800 USD","x-skills-required":["Recruiting","Product Management","Leadership","Communication","Data Analysis","Strategic Planning","Talent Development"],"x-skills-preferred":["Sourcing","Pipeline Management","Interview Frameworks","Leveling Guidance","Hiring Playbooks"],"datePosted":"2026-04-24T12:15:02.367Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pittsburgh, PA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Recruiting, Product Management, Leadership, Communication, Data Analysis, Strategic Planning, Talent Development, Sourcing, Pipeline Management, Interview Frameworks, Leveling Guidance, Hiring Playbooks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":163200,"maxValue":244800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a384c2f7-cf4"},"title":"Principal Applied Scientist","description":"<p>The Microsoft AI Web Data team is looking for a highly qualified Principal Applied Scientist to help build the next-generation platform for Bing and Microsoft AI. The Microsoft AI Web Data Platform (WDP) team builds the data foundation that powers Bing and Microsoft AI experiences, including large-scale grounding and large language model (LLM) training. We operate end-to-end systems that discover, fetch, process, understand and store web content at internet scale. We advance the platform’s capabilities with state-of-the-art modeling and fueling critical Microsoft experiences and pushing the frontier of AI.</p>\n<p>In this role, you will translate research into production by advancing the state of the art and applying it to meet today’s AI needs. You will drive the design, development, execution, and implementation of research projects, using scientific principles and techniques to develop, evaluate, and deploy algorithms and solutions that improve system performance, quality, data management, and accuracy.</p>\n<p>Join us to shape the future of AI and deliver meaningful value to millions of users. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop deep expertise across a broad research area and relevant techniques; stay current on industry trends and advances; and apply these insights to shape product and platform direction.</li>\n<li>Partner with stakeholders to understand business and product requirements; incorporate research insights; and provide strategic technical direction for problem solving with solid scientific rigor and measurable business impact.</li>\n<li>Mentor and inspire peers and new research talent; build relationships and advocate for research initiatives; share results through industry outreach; collaborate with academia; and strengthen the recruiting pipeline.</li>\n<li>Document experiments and outcomes; communicate learnings to accelerate innovation; and help define best practices, including ethics and privacy considerations for research processes and data collection.</li>\n<li>Guide and mentor junior team members in developing new technologies that translate into production-ready solutions.</li>\n<li>Work closely with partner teams across Microsoft AI to understand shared needs and build a technical roadmap to address them.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n<li>5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li>\n<li>2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li>\n<li>5+ years experience conducting research as part of a research program (in academic or industry settings).</li>\n<li>3+ years experience developing and deploying live production systems, as part of a product team.</li>\n<li>3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li>\n<li>8+ years of experience in product development in machine learning and related areas.</li>\n<li>Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorch.</li>\n<li>Active research in at least one of the following areas: LLM training, artificial intelligence, data science, information retrieval, machine learning, or natural language processing.</li>\n<li>Demonstrated excellence in communication and cross-team collaboration.</li>\n<li>Ability to think big while delivering measurable real-world impact through design and development.</li>\n<li>Solid understanding of web documents and web data processing and understanding concepts, methods, applications, and challenges.</li>\n<li>Experience with Big Data (Spark, Mapreduce, Cosmos, etc.) and NRT systems</li>\n<li>Experience with Search or recommendations.</li>\n</ul>\n<p>#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a384c2f7-cf4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-32/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 - $274,800 per year","x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Deep learning frameworks","TensorFlow","PyTorch","Big Data","Spark","Mapreduce","Cosmos","NRT systems","Search","Recommendations"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:14:55.950Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Deep learning frameworks, TensorFlow, PyTorch, Big Data, Spark, Mapreduce, Cosmos, NRT systems, Search, Recommendations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6ebcab31-f01"},"title":"Snr Applied Scientist","description":"<p>As a Senior Applied Scientist, you will lead the science behind Discover&#39;s ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust.</p>\n<p>You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes. You will contribute to the development of the next generation of MSN that is adopting the latest generative AI techniques.</p>\n<p>Microsoft&#39;s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead content-quality understanding at scale.</li>\n<li>Design and deploy models that assess credibility, usefulness, freshness, safety, and diversity across modalities; reduce misinformation/toxicity error rates through prompt- and model-level innovations; build human-in-the-loop and active-learning pipelines that get better over time.</li>\n<li>Champion safety &amp; trust. 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Provide technical leadership across problem framing, methodology selection, code quality, and publishing/knowledge-sharing; uplevel peers through design reviews, deep-dives, and principled decision-making.</li>\n<li>Stay close to users. Translate user engagements and behavioral history into model objectives and product bets; ensure our AI solutions elevate relevance, transparency, and engagement for real users.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field &amp; related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n<li>Experience working with natural language understanding.</li>\n<li>Experience in Python and at least one major deep learning framework (PyTorch/TensorFlow) with large-scale data processing and training.</li>\n<li>Experience with evaluation &amp; experimentation (offline metrics, A/B testing, bandits) and ML model development lifecycle.</li>\n<li>Preferred Qualifications: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n<li>Have publications at top AI/ML conferences (e.g., KDD, SIGIR, EMNLP, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.).</li>\n<li>Expertise with LLMs (prompting, RAG, Parameter-Efficient Fine-Tuning), multimodal modeling, and retrieval-augmented recommendation; familiarity with counterfactual learning and multi-objective optimization.</li>\n<li>Experience building content integrity/safety systems (e.g., misinformation, harmful content, low-quality/duplicate detection) and quality-aware ranking.</li>\n<li>Demonstrated ability to lead cross-disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped business impact; mentoring scientists and setting technical vision.</li>\n<li>Familiarity with Microsoft stack (e.g., Azure ML, Kusto, Synapse, Azure AI Foundry).</li>\n</ul>\n<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6ebcab31-f01","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/snr-applied-scientist-3/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["natural language understanding","Python","deep learning frameworks","large-scale data processing","training","evaluation & experimentation","ML model development lifecycle"],"x-skills-preferred":["LLMs","multimodal modeling","retrieval-augmented recommendation","counterfactual learning","multi-objective optimization","content integrity/safety systems","quality-aware ranking","Microsoft stack"],"datePosted":"2026-04-24T12:14:53.764Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Egypt"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"natural language understanding, Python, deep learning frameworks, large-scale data processing, training, evaluation & experimentation, ML model development lifecycle, LLMs, multimodal modeling, retrieval-augmented recommendation, counterfactual learning, multi-objective optimization, content integrity/safety systems, quality-aware ranking, Microsoft stack"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5a56fe97-3fd"},"title":"Agent Platform Lead","description":"<p>The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. As the Agent Platform Lead, you will lead the development of the Agent Platform, which powers conversational experiences across Spotify. Your key responsibilities will include defining and driving the vision, strategy, and roadmap for the Agent Platform, building a unified platform that supports features like AI DJ, Search, Prompted Playlists, and partner integrations, and working closely with internal engineering teams to understand their needs and improve how they build and scale agent-based experiences.</p>\n<p>You will also shape the tools, capabilities, and integrations the platform provides, balancing immediate product needs with long-term scalability, define and track metrics that measure agent performance, including quality, reliability, latency, and cost, and partner with engineering, design, and product leaders to align priorities and deliver on shared goals.</p>\n<p>Additionally, you will ensure strong observability, evaluation, and monitoring capabilities are built into the platform, stay up to date with advances in AI and conversational systems, and apply those insights to evolve the platform.</p>\n<p>You will be responsible for leading a team of engineers and working closely with cross-functional teams to deliver high-quality products that meet the needs of Spotify&#39;s users.</p>\n<p>As the Agent Platform Lead, you will have the opportunity to make a significant impact on the development of Spotify&#39;s conversational experiences and contribute to the company&#39;s mission to make music and podcasts more accessible and enjoyable for everyone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5a56fe97-3fd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/8208be35-eadf-4035-ab0b-650c73d5bd03","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product management","AI","machine learning","conversational systems","agent frameworks","evaluation systems","developer experience","team leadership"],"x-skills-preferred":["LLM-based systems","conversational experiences","technical discussions","trade-offs between system designs","complex environments","ambiguity"],"datePosted":"2026-04-24T12:14:49.692Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, AI, machine learning, conversational systems, agent frameworks, evaluation systems, developer experience, team leadership, LLM-based systems, conversational experiences, technical discussions, trade-offs between system designs, complex environments, ambiguity"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_67294410-6ab"},"title":"Lead AI Engineer, Enterprise AI Operations","description":"<p>At Webflow, we&#39;re building the world&#39;s leading AI-native Digital Experience Platform, and we&#39;re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.</p>\n<p>As AI becomes foundational to how work gets done at Webflow, our Enterprise AI Operations team ensures AI is adopted safely, responsibly, and with measurable impact across the company. We focus on internal AI use cases, enabling teams and executives to work more effectively through production-grade AI workflows.</p>\n<p>We’re looking for a Lead AI Engineer, Enterprise AI Operations to help us transform Webflow into a truly AI-native organization by architecting and operationalizing trusted, production-grade AI systems that reshape how work gets done and drive measurable enterprise impact - with direct impact at the executive level.</p>\n<p><strong>About the role:</strong></p>\n<ul>\n<li>Location: Remote-first (United States)</li>\n</ul>\n<ul>\n<li>Full-time</li>\n</ul>\n<ul>\n<li>Permanent</li>\n</ul>\n<ul>\n<li>Exempt</li>\n</ul>\n<ul>\n<li>The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We&#39;ve structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.</li>\n</ul>\n<ul>\n<li>United States (all figures cited below are in USD and pertain to workers in the United States)</li>\n</ul>\n<ul>\n<li>Zone A: $232,000 - $290,000</li>\n</ul>\n<ul>\n<li>Zone B: $217,500 - $272,000</li>\n</ul>\n<ul>\n<li>Zone C: $204,500 - $256,000</li>\n</ul>\n<p>This role is also eligible to participate in Webflow&#39;s company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.</p>\n<p>Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.</p>\n<ul>\n<li>Application Information:</li>\n</ul>\n<ul>\n<li>Application deadline: applications accepted on an ongoing basis until position is closed and filled</li>\n</ul>\n<ul>\n<li>This posting is for a new position</li>\n</ul>\n<ul>\n<li>Reporting to the Manager, Enterprise AI Operations</li>\n</ul>\n<p>As a Lead AI Engineer, Enterprise AI Operations you’ll …</p>\n<ul>\n<li>Serve as the primary AI engineering partner to the CEO and executive leadership team, translating ideas, strategic questions, and emerging concepts into production-ready AI agents and workflows with minimal oversight.</li>\n</ul>\n<ul>\n<li>Independently take ideas from concept to production, shaping problem statements, designing system architecture, implementing code, validating outputs, and operationalizing solutions without requiring heavy product or engineering management.</li>\n</ul>\n<ul>\n<li>Design and implement complex, multi-step agentic workflows, including multi-agent orchestration, retrieval-augmented generation (RAG), tool use, memory strategies, evaluation frameworks, and cross-system automation.</li>\n</ul>\n<ul>\n<li>Develop production-grade AI systems using modern LLMs, orchestration frameworks, and internal tooling, with strong attention to scalability, performance, observability, and clean engineering practices.</li>\n</ul>\n<ul>\n<li>Operationalize AI responsibly by implementing guardrails, structured evaluations, monitoring, and validation layers to ensure predictable behavior, reliability, and compliance.</li>\n</ul>\n<ul>\n<li>Partner closely with Security and Legal to properly gate sensitive use cases, implementing access controls, audit logging, data minimization, and enterprise-grade governance patterns while balancing safety and speed.</li>\n</ul>\n<ul>\n<li>Translate ambiguous, high-visibility problems into clear technical solutions, balancing speed, quality, and risk while maintaining a high bar for accuracy and trust.</li>\n</ul>\n<ul>\n<li>Evaluate, select, and rationalize AI tools and platforms, contributing to capability-to-tool decisions and ensuring consolidation, security alignment, and long-term sustainability across the enterprise.</li>\n</ul>\n<ul>\n<li>Support post-launch adoption and iteration, incorporating feedback, refining workflows, and continuously improving performance, usability, and measurable impact.</li>\n</ul>\n<ul>\n<li>Contribute to org-wide AI maturity by documenting architectural patterns, sharing best practices, and establishing repeatable approaches that elevate internal AI capabilities across Webflow.</li>\n</ul>\n<p><strong>About you:</strong></p>\n<p>Requirements:</p>\n<ul>\n<li>7-10+ years of professional software engineering experience designing, building, and operating complex production systems in cloud environments or equivalent practical experience as outlined.</li>\n</ul>\n<ul>\n<li>Proven experience building and deploying AI-powered systems in production, including agent-based or multi-step workflows (RAG, orchestration, tool-calling, memory strategies, evaluation, and failure handling).</li>\n</ul>\n<ul>\n<li>Strong proficiency in modern programming languages (e.g., Python, TypeScript) with demonstrated ability to write clean, maintainable, production-quality code.</li>\n</ul>\n<ul>\n<li>Deep engineering discipline across clean architecture, distributed systems, APIs, CI/CD, testing strategies, and production observability.</li>\n</ul>\n<ul>\n<li>Experience partnering directly with senior or executive stakeholders, translating ambiguous ideas into scalable, technically sound solutions with measurable impact across enterprise systems.</li>\n</ul>\n<p>You’ll thrive as a Lead AI Engineer, Enterprise AI Operations if you:</p>\n<ul>\n<li>Possess familiarity with AI governance, data classification, prompt injection risks, access control models, and enterprise compliance standards, with a track record of partnering with Security on safe deployment</li>\n</ul>\n<ul>\n<li>Take pride in building AI systems that senior leaders rely on for real decisions , where accuracy, clarity, and trust are non-negotiable</li>\n</ul>\n<ul>\n<li>Thrive in high-visibility environments where your work directly informs executive decisions and company strategy</li>\n</ul>\n<ul>\n<li>Operate with extreme ownership - 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Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<p>Own the science roadmap for Copilot Chat Assistant – from ideation to reliable, safe production launches.</p>\n<p>Design multi-agent reasoning systems that blend LLM orchestration, tool use, and state management for long-running tasks.</p>\n<p>Build robust retrieval pipelines (RAG + vector stores) for precise, grounded answers across advertiser and campaign domains.</p>\n<p>Advance prompt/program design (planning, decomposition, self-reflection, evaluation) to boost accuracy, latency, and cost efficiency.</p>\n<p>Ship real features with engineering partners: telemetry, online evaluations/A-B tests, guardrails, red-teaming, and quality bars.</p>\n<p>Mentor and multiply: guide applied scientists and engineers, set best practices, and raise the bar for scientific rigor.</p>\n<p>Measure impact: define success metrics, instrument experiments, and iterate quickly based on data and customer feedback.</p>\n<p>Qualifications:</p>\n<p>Required Qualifications:</p>\n<p>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)</p>\n<p>OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)</p>\n<p>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</p>\n<p>OR equivalent experience.</p>\n<p>Preferred Qualifications:</p>\n<p>Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)</p>\n<p>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)</p>\n<p>OR equivalent experience.</p>\n<p>5+ years experience developing and deploying live production systems, as part of a product team.</p>\n<p>7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</p>\n<p>Experience using LLMs, agentic frameworks, RAG, vector databases to build complex production systems.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a63b2eb7-7f7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-38/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $139,900 – $274,800 per year","x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Large Language Models (LLMs)","Agentic Frameworks","Vector Databases","Retrieval Augmented Generation (RAG)","Model Context Protocol (MCP)"],"x-skills-preferred":["Semantics Kernel","Vector Stores"],"datePosted":"2026-04-24T12:14:31.985Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Large Language Models (LLMs), Agentic Frameworks, Vector Databases, Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), Semantics Kernel, Vector Stores","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_42990c1a-764"},"title":"Product Manager, Agent Platform","description":"<p>The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. 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You will be responsible for defining and delivering high-quality products that meet the needs of our users.</p>\n<p>If you are a motivated and experienced Product Manager looking for a new challenge, we encourage you to apply for this role.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_42990c1a-764","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/57378ce5-298e-40bc-aa2f-454962d093fc","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$147,595–$210,850 USD","x-skills-required":["product management","AI","machine learning","conversational experiences","platform development","infrastructure development","developer-focused products"],"x-skills-preferred":["LLM-based systems","agent frameworks","evaluation systems","observability","evaluation","monitoring"],"datePosted":"2026-04-24T12:14:30.820Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, AI, machine learning, conversational experiences, platform development, infrastructure development, developer-focused products, LLM-based systems, agent frameworks, evaluation systems, observability, evaluation, monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":147595,"maxValue":210850,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cfc9ba51-889"},"title":"Strategic Account Executive-Tennessee","description":"<p>Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. 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Our vision is bold and broad, to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all, consumers, businesses, developers, so that everyone can realize its benefits.</p>\n<p>We’re looking for a Data Infrastructure Manager to lead a team of talented engineers building and scaling the data infrastructure that powers Microsoft’s consumer AI. This role sits at the intersection of technical leadership and people management. 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Each day we build on our values of Respect, Integrity, and Accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Team Leadership &amp; People Development Hire, mentor, and develop a team of Data Infrastructure Engineers, fostering a culture of technical excellence, ownership, and continuous growth. Conduct regular 1:1s, set clear goals, and provide actionable feedback to support each engineer’s career development. Build and sustain an inclusive, collaborative team environment aligned with Microsoft’s values of Respect, Integrity, Accountability, and Inclusion.</p>\n<p>Technical Strategy &amp; Architecture Define and drive the technical vision for a scalable, reliable, and observable Big Data Infrastructure serving mission-critical AI applications, including agentic and intelligent systems. Lead technical design reviews, establish engineering standards, and ensure a clean, secure, and well-documented codebase. Partner with engineers to architect data solutions across storage, compute, and analytics layers, including the pipelines and orchestration frameworks that underpin AI agent workflows, balancing long-term scalability with near-term delivery.</p>\n<p>Platform &amp; Operations Champion DevOps and SRE best practices across the team, including automated deployments, service monitoring, and incident response. Guide the team in building a self-service big data platform that empowers data engineers, researchers, and partner teams. Oversee robust CI/CD pipelines and infrastructure-as-code practices using tools like Bicep, Terraform, and ARM. Lead capacity planning and drive proactive resolution of bottlenecks in data pipelines and infrastructure.</p>\n<p>Cross-Functional Collaboration Act as a key technical partner to Data Engineers, Data Scientists, AI Researchers, ML Engineers, and Developers to deliver secure, seamless big data workflows. Collaborate with Security teams to uphold strong infrastructure security practices (IAM, OAuth, Kerberos). Represent the team in planning and prioritization discussions, translating organizational goals into actionable engineering roadmaps.</p>\n<p>Qualifications Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work OR equivalent experience.</p>\n<p>Preferred Qualifications Master’s Degree in Computer Science or related technical field AND 10+ years of technical engineering experience OR Bachelor’s Degree AND 14+ years, OR equivalent experience. 5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering. 5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments. 5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize. Solid scripting and automation fluency in Python, Bash, or PowerShell. Proven track record managing CI/CD pipelines, release automation, and production incident response. Hands-on expertise with modern data platforms like Databricks, including deep familiarity with relational and NoSQL databases, key-value stores, Spark compute engines, distributed file systems (e.g., HDFS, ADLS Gen2), and messaging systems (e.g., Event Hub, Kafka, RabbitMQ). Proven experience with cloud-native infrastructure across Azure, AWS, or GCP. Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams. Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale. Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP.</p>\n<p>#MicrosoftAI #MAIDPS #mai-datainsights #mai-datainsights</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bd829e13-6ce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-data-infrastructure-manager-microsoft-ai-copilot-3/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$139,900 – $274,000 per year","x-skills-required":["Big Data and Distributed Systems","Data Infrastructure","DevOps","SRE","Platform Engineering","Distributed Systems","Containerized Application Deployments","Kubernetes","Helm/Kustomize","Python","Bash","PowerShell","CI/CD 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Systems, Containerized Application Deployments, Kubernetes, Helm/Kustomize, Python, Bash, PowerShell, CI/CD Pipelines, Release Automation, Production Incident Response, Modern Data Platforms, Databricks, Relational and NoSQL Databases, Key-Value Stores, Spark Compute Engines, Distributed File Systems, Messaging Systems, Cloud-Native Infrastructure, Azure, AWS, GCP, Agentic Workflow Infrastructure, Orchestration Frameworks, Retrieval Pipelines, Multi-Agent Systems, Web Stacks, TypeScript, Node.js, React, PHP, Master’s Degree in Computer Science or related technical field, 10+ years of technical engineering experience, Bachelor’s Degree and 14+ years, Equivalent experience, 5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering, 5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments, 5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize, Solid scripting and automation fluency in Python, Bash, or PowerShell, Proven track record managing CI/CD pipelines, release automation, and production incident response, Hands-on expertise with modern data platforms like Databricks, Proven experience with cloud-native infrastructure across Azure, AWS, or GCP, Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams, Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale, Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3b419874-946"},"title":"Senior Production Engineer","description":"<p>Production Engineering ensures CoreWeave&#39;s cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success.</p>\n<p>In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You’ll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments.</p>\n<p>This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.</li>\n<li>Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.</li>\n<li>Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.</li>\n<li>Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes.</li>\n<li>Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.</li>\n<li>Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns.</li>\n<li>Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.</li>\n<li>Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate.</li>\n<li>Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.</li>\n</ul>\n<p><strong>What You’ve Worked On (Minimum Qualifications)</strong></p>\n<ul>\n<li>7+ years of engineering experience building and operating distributed systems or cloud platforms.</li>\n<li>Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation.</li>\n<li>Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools.</li>\n<li>Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.</li>\n<li>Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices.</li>\n<li>A track record of successfully delivering hands-on reliability improvements through engineering execution.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.</li>\n<li>Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering.</li>\n<li>Background operating or building large-scale AI or GPU-accelerated infrastructure.</li>\n<li>Experience maintaining multi-year ownership of foundational production systems.</li>\n</ul>\n<p><strong>Why CoreWeave</strong></p>\n<p>At CoreWeave, we work hard, have fun, and move fast. You’ll join a team that values curiosity, ownership, and creative problem-solving. Production Engineering sits at the intersection of reliability and AI infrastructure, building systems that enable the world’s most powerful AI cloud.</p>\n<p><strong>Core Values</strong></p>\n<ul>\n<li>Be Curious at Your Core</li>\n<li>Act Like an Owner</li>\n<li>Empower Employees</li>\n<li>Deliver Best-in-Class Client Experiences</li>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization&#39;s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>\n<p><strong>Compensation</strong></p>\n<p>The base salary range for this role is 160,000 to 214,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p><strong>What We Offer</strong></p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3b419874-946","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4675297006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"160,000 to 214,000 SGD","x-skills-required":["cloud computing","distributed systems","Kubernetes","observability stacks","metrics","tracing","structured logs","SLOs/SLIs","incident lifecycle practices","Python","Go","engineering experience"],"x-skills-preferred":["internal tooling","frameworks","automation","DR/BCP","service tiering","capacity planning","chaos engineering","large-scale AI","GPU-accelerated infrastructure"],"datePosted":"2026-04-24T12:14:03.335Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud computing, distributed systems, Kubernetes, observability stacks, metrics, tracing, structured logs, SLOs/SLIs, incident lifecycle practices, Python, Go, engineering experience, internal tooling, frameworks, automation, DR/BCP, service tiering, capacity planning, chaos engineering, large-scale AI, GPU-accelerated infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":214000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f3e660c6-9a8"},"title":"Principal Software Engineer - Data, Personalization - Microsoft AI","description":"<p>As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold , to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot , responsive to your preferences, workflows, and goals , while preserving privacy, security, performance, and scale.</p>\n<p>We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time.</p>\n<p>The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<p>Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.</p>\n<p>Design data models and APIs that enable Copilot to reason about user context, preferences, and history</p>\n<p>Build real-time and batch personalization engines that adapt Copilot’s behavior.</p>\n<p>Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled</p>\n<p>Optimize for performance, reliability, and cost across diverse workloads and geographies.</p>\n<p>Ship high-quality, well-tested, secure, and maintainable code.</p>\n<p>Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.</p>\n<p>Enjoy working in a fast-paced, design-driven, product development cycle.</p>\n<p>Embody our Culture and Values.</p>\n<p>Qualifications:</p>\n<p>Required Qualifications:</p>\n<p>Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Preferred Qualifications:</p>\n<p>4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.</p>\n<p>3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink.</p>\n<p>Experience with large scale data systems</p>\n<p>Experience working with AI platforms, frameworks, and APIs.</p>\n<p>Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.</p>\n<p>Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.</p>\n<p>Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.</p>\n<p>Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.</p>\n<p>Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.</p>\n<p>Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f3e660c6-9a8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-software-engineer-data-personalization-microsoft-ai-6/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$163,000 – $296,400 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Azure","AWS","GCP","Kafka","Spark","Flink","Machine Learning","AI"],"x-skills-preferred":["Cloud infrastructure","Data technology","AI platforms","Frameworks","APIs","Language learning models"],"datePosted":"2026-04-24T12:13:54.330Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Azure, AWS, GCP, Kafka, Spark, Flink, Machine Learning, AI, Cloud infrastructure, Data technology, AI platforms, Frameworks, APIs, Language learning models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":163000,"maxValue":296400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_30ff260f-203"},"title":"Senior Software Engineer - Copilot Security","description":"<p>About the Team Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.</p>\n<p>About the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You’ll contribute to designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role is ideal for engineers who are passionate about applying technical skills to solve security challenges and build systems that balance innovation with trust.</p>\n<p>Why This Role Matters Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios, making a global impact on Microsoft’s most transformative products.</p>\n<p>Responsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.</p>\n<p>Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. Agentic AI Development &amp; Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview) Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_30ff260f-203","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-copilot-security-4/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 – $234,700 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Agentic AI","Secure Orchestration","Advanced Threat Defenses","Distributed Training Frameworks","Containerizationoloj","Orchestration Technologies","ML Model Deployment","ML Lifecycle Management","Evaluation Frameworks","Observability","AI Safety Evaluation Methodologies","Adversarial Testing","Red-Teaming","Azure AI Services","Azure OpenAI Service","Microsoft Security Platforms"],"x-skills-preferred":["LangGraph","Amazon Strands SDK","Docker","Kubernetes","Phoenix","MLFlow","LangFuse","Custom Eval Harnesses"],"datePosted":"2026-04-24T12:13:46.865Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Agentic AI, Secure Orchestration, Advanced Threat Defenses, Distributed Training Frameworks, Containerizationoloj, Orchestration Technologies, ML Model Deployment, ML Lifecycle Management, Evaluation Frameworks, Observability, AI Safety Evaluation Methodologies, Adversarial Testing, Red-Teaming, Azure AI Services, Azure OpenAI Service, Microsoft Security Platforms, LangGraph, Amazon Strands SDK, Docker, Kubernetes, Phoenix, MLFlow, LangFuse, Custom Eval Harnesses","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b5a258a6-9d9"},"title":"GTM Strategy & Operations, Activations Business Partner","description":"<p>As a GTM Strategy &amp; Operations, Activations Business Partner focused on activations, you&#39;ll be instrumental in driving product activation, user growth, and consumption across our customers by partnering with leadership to develop, refine, and execute go-to-market strategies.</p>\n<p>You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive customer success.</p>\n<p>Responsibilities:</p>\n<p>Activations Strategy &amp; Operating 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execution of customer-specific go-to-market strategies.</li>\n<li>Partner with Marketing on customer-focused campaigns, events, and thought leadership initiatives.</li>\n</ul>\n<p>Operational Excellence:</p>\n<ul>\n<li>Remove operational bottlenecks specific to complex activations deployments and adoption cycles.</li>\n<li>Execute critical processes including strategic account transitions from closed-won to activated, CRM configurations, and segment data management.</li>\n<li>Optimize activations technology stack and ensure effective adoption of Salesforce and other sales tools.</li>\n<li>Establish activations process methodology, qualification criteria, and activation stage definitions for consistent execution that drive adoption and expansion.</li>\n<li>Ensure smooth operations across complex, multi-stakeholder activations motions typical in enterprise B2B software.</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>10+ years of experience in GTM strategy, revenue operations, customer success operations, or management consulting with B2B SaaS or enterprise technology focus.</li>\n<li>Deep experience with consumption-based or usage-based business models, ideally in API, cloud infrastructure, or platform businesses.</li>\n<li>Proven track record designing and implementing activations operating models that scale.</li>\n<li>Strong analytical capabilities with demonstrated ability to build metrics frameworks and translate data into strategic insights.</li>\n<li>Experience with customer segmentation, engagement tier design, and resource allocation optimization.</li>\n<li>Proficiency with GTM systems including Salesforce, BI tools, and customer health platforms.</li>\n<li>Ability to influence cross-functionally and drive alignment across Sales, CS, Product, and Finance leadership.</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience at high-growth companies navigating the transition from founder-led sales to scaled GTM operations.</li>\n<li>Background in companies like Stripe, Twilio, Snowflake, Databricks, or AWS with exposure to consumption economics.</li>\n<li>Management consulting experience (strategy or operations) with enterprise technology clients.</li>\n<li>Demonstrated success building activations teams or operating models from the ground up.</li>\n<li>Passion for AI and alignment with Anthropic&#39;s mission of beneficial AI development.</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $270,000-$310,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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We&#39;re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. This team is responsible for building and scaling the core backend platform – Orchestrator, Inference and APIs that power Consumer Copilot ,enabling rapid development, deployment, and iteration of AI-powered features and experiences while collaborating with our Product Management, Design, Data Scientists, and AI Research teams to deliver impactful results. Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p><strong>Responsibilities:</strong> Build secure and performant APIs that power Copilot apps. Work collaboratively with other product engineers, Product Managers, and platform engineers to take ambiguous projects and mold them into amazing experiences. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values.</p>\n<p><strong>Qualifications:</strong> Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p><strong>Preferred Qualifications:</strong> 4+ years’ experience building backend API for mobile apps such as GraphQL/Rest APIs/Protobuf/Thrift, and streaming protocols such as websocket/SSE/WebRTC with familiarity in backend and mobile data schema code generation or consistency, version control for mobile releases, analytics, feature flags, a/b testing framework. 4+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. 4+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. Experience working with AI platforms, frameworks, and APIs. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 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Our vision is bold , to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot , responsive to your preferences, workflows, and goals , while preserving privacy, security, performance, and scale. We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals. Design data models and APIs that enable Copilot to reason about user context, preferences, and history Build real-time and batch personalization engines that adapt Copilot’s behavior. Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled Optimize for performance, reliability, and cost across diverse workloads and geographies. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. 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You will design, build, and operate the cloud-native data and ML infrastructure that powers every customer interaction, enabling Twilio&#39;s product teams and customers to move from raw events to real-time intelligence.</p>\n<p>In this role, you&#39;ll:</p>\n<p>Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads. Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling. Integrate event streams from Twilio products (e.g., Messaging, Voice, Segment) into unified, analytics-ready datasets. Monitor, test, and improve data quality, model performance, latency, and cost. Partner with product, data science, and security teams to ship resilient, compliant services. Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices. Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions. 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Our vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.</p>\n<p>Our Platform team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. 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toward new frameworks, architectures, and AI-driven backend capabilities, Proven track record of contributing to team growth through code reviews, technical mentorship, and knowledge sharing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_447681a8-24c"},"title":"Software Engineer II","description":"<p>About the Team Copilot Security builds the foundations that make Microsoft’s AI experiences trusted, resilient, and safe. We design and implement security capabilities that protect users across Windows, Edge, web, mobile, and third-party ecosystems. Our work spans secure identity flows, defenses against threats like prompt injection, and privacy-first systems that scale globally.</p>\n<p>About the Role Copilot is entering a new era of agentic AI, where intelligent agents take actions on behalf of users. We’re looking for a Software Engineer II with solid fundamentals and high growth potential,someone who can quickly deepen their expertise in AI-driven security and expand their ownership over time. You’ll contribute to secure orchestration frameworks, AI-powered defenses, and the core systems that ensure Copilot’s actions remain trustworthy. This role is ideal for engineers who enjoy solving complex technical problems, learning new AI-driven patterns, and building secure, scalable systems that balance innovation with user trust.</p>\n<p>Why This Role Matters Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios, making a global impact on Microsoft’s most transformative products.</p>\n<p>Responsibilities Build and ship security features that protect Copilot from threats such as prompt injection, adversarial manipulation, and unsafe agentic workflows. Implement secure orchestration components that allow Copilot to safely delegate and execute actions across devices, services, and platforms. Contribute to developing intelligent agents that apply information-flow reasoning, guardrails, and common-sense constraints for security and privacy. Collaborate with partner teams across engineering, product, security, privacy, and AI to adopt secure agentic patterns and best practices. Instrument and monitor key metrics for agentic AI security, using data to improve reliability, safety, and user trust. Write clear documentation for secure agentic patterns, including safe-delegation guidelines and emerging risk considerations. Demonstrate high growth potential by progressively expanding technical scope, autonomy, and ownership as you gain experience with agentic AI and security systems.</p>\n<p>Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_447681a8-24c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/software-engineer-ii-30/","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$100,600 - $199,000 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Agentic AI","Secure Orchestration","Information-Flow Reasoning","Guardrails","Common-Sense Constraints"],"x-skills-preferred":["Modern Cloud Development","Containerization (Docker, Kubernetes)","Distributed Compute Frameworks","Evaluation or Observability Tooling (e.g., LangFuse, MLFlow, Phoenix)"],"datePosted":"2026-04-24T12:13:11.434Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Agentic AI, Secure Orchestration, Information-Flow Reasoning, Guardrails, Common-Sense Constraints, Modern Cloud Development, Containerization (Docker, Kubernetes), Distributed Compute Frameworks, Evaluation or Observability Tooling (e.g., LangFuse, MLFlow, Phoenix)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100600,"maxValue":199000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0680a4f2-e1d"},"title":"Member of Technical Staff - Security Engineer","description":"<p>Copilot is becoming an agentic system: it can plan, reason, and take actions across tools, data, and services. Securing that kind of system requires more than traditional boundaries or static controls,it demands adaptive defenses, intelligent guardrails, and provable isolation that operate continuously at runtime.</p>\n<p>We are hiring a Principal Security Engineer to help design and build these systems end-to-end. This is a hands-on engineering role for someone who wants to ship production code into a globally deployed AI platform,developing adaptive defenses, agentic offensive security, and security architectures that scale with autonomy.</p>\n<p>The problems are technically deep, often unsolved, and central to making advanced AI systems deployable in the real world. Most security roles focus on protecting existing systems. This role helps define the security architecture for systems that are still being invented.</p>\n<p>You will work at the intersection of AI, security, privacy, and distributed systems,building defenses that enable safe autonomy rather than limiting innovation. If you want to shape how agentic AI is secured at global scale, this is a uniquely high-impact opportunity.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build secure, high-performance platform components that support Copilot’s agentic workflows across cloud and device environments.</li>\n</ul>\n<ul>\n<li>Develop novel security mechanisms for agentic AI systems, including real-time intent validation, information-flow controls, isolation boundaries, and abuse-resistant orchestration.</li>\n</ul>\n<ul>\n<li>Eliminate entire classes of vulnerabilities by creating secure-by-default APIs, sandboxing layers, and hardened system interfaces.</li>\n</ul>\n<ul>\n<li>Build and operate offensive security tooling and agents that continuously probe Copilot’s autonomy, reasoning paths, and trust boundaries.</li>\n</ul>\n<ul>\n<li>Partner closely with AI researchers, platform engineers, and product teams to translate research and prototypes into production-ready security features.</li>\n</ul>\n<ul>\n<li>Write high-quality, well-tested code across backend services, platform layers, and AI-adjacent systems.</li>\n</ul>\n<ul>\n<li>Use telemetry, signals, and data-driven analysis to detect abuse, anomalous agent behavior, and emerging threat patterns.</li>\n</ul>\n<ul>\n<li>Navigate ambiguity, make sound engineering tradeoffs, and ship iteratively in a fast-paced product environment.</li>\n</ul>\n<ul>\n<li>Contribute to a culture of high ownership, technical excellence, and inclusive collaboration.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Doctorate in Statistics, Mathematics, Computer Science, or related field AND 3+ years of experience OR Master’s Degree AND 4+ years of experience OR Bachelor’s Degree AND 6+ years of experience in security engineering, secure software development, large-scale computing, threat modeling, or applied security analytics, including experience designing or building systems to detect, prevent, or mitigate security threats, or equivalent experience.</li>\n</ul>\n<ul>\n<li>8+ years of professional engineering experience.</li>\n</ul>\n<ul>\n<li>Solid coding skills in one or more of the following: C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing, building, and operating production systems at scale.</li>\n</ul>\n<ul>\n<li>Experience building or securing large-scale distributed systems on cloud platforms such as Azure, AWS, or GCP.</li>\n</ul>\n<ul>\n<li>Familiarity with emerging attack classes against AI systems, including prompt-based exploits, agent misbehavior, information-flow vulnerabilities, or model-assisted exfiltration.</li>\n</ul>\n<ul>\n<li>Proven ability to design system interfaces and abstractions that reduce misuse and prevent vulnerabilities by construction.</li>\n</ul>\n<ul>\n<li>Experience with AI platforms, LLM frameworks, or ML pipelines,or the ability to ramp up quickly.</li>\n</ul>\n<ul>\n<li>Background in sandboxing, isolation, container security, or trusted execution environments.</li>\n</ul>\n<ul>\n<li>Solid analytical skills, including working with telemetry, anomaly detection, or ML-based security signals.</li>\n</ul>\n<ul>\n<li>Ability to decompose ambiguous, unsolved problems into practical engineering plans.</li>\n</ul>\n<ul>\n<li>Clear, effective communication skills across technical and non-technical audiences.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0680a4f2-e1d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-security-engineer/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"Based on 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environments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_685d83d0-48a"},"title":"Principal Software Engineer - Data, Personalization - Microsoft AI","description":"<p>As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold , to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot , responsive to your preferences, workflows, and goals , while preserving privacy, security, performance, and scale. We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities:</p>\n<p>Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals. Design data models and APIs that enable Copilot to reason about user context, preferences, and history Build real-time and batch personalization engines that adapt Copilot’s behavior. Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled Optimize for performance, reliability, and cost across diverse workloads and geographies. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values.</p>\n<p>Qualifications:</p>\n<p>Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP. 3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink. Experience with large scale data systems Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.</p>\n<p>#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_685d83d0-48a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-software-engineer-data-personalization-microsoft-ai-5/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C","C++","C#","Java","JavaScript","Python","Azure","AWS","GCP","Kafka","Spark","Flink","large scale data systems","AI platforms","frameworks","APIs","Machine Learning frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:13:06.682Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Azure, AWS, GCP, Kafka, Spark, Flink, large scale data systems, AI platforms, frameworks, APIs, Machine Learning frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3337cbeb-901"},"title":"Technical Program Manager - Responsible AI","description":"<p>At Microsoft AI, we are on a mission to train the world&#39;s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. Our vision is to pursue humanist superintelligence, that is designed to remain controllable, aligned, and firmly in service to humanity.</p>\n<p>The Responsible AI team is hiring a Technical Program Manager to help bring that vision to life. Reporting into the sub-team supporting Microsoft Superintelligence and foundation model development, you will establish and operationalize AI safety, governance and responsibility practices across the model lifecycle. You will work directly with world-leading researchers to identify risks, set responsible AI standards, and ensure that appropriate mitigations are in place before our models are released.</p>\n<p>As part of a multidisciplinary group of AI &amp; society experts in the broader Responsible AI teams, you will operationalize and shape governance frameworks at the frontier of the field, addressing technical, ethical and regulatory challenges.</p>\n<p>Responsibilities: Collaborate with fast-paced model development teams to identify risks, develop policies and evaluations and ensure appropriate mitigations are in place prior to deployment. Establish, improve, and operationalize foundation model governance processes, ensuring Microsoft Superintelligence addresses key risks and develops models that benefit people and society. Produce analyses and recommendations to support Microsoft Superintelligence decision-making across a wide range of AI &amp; society topics. Drive organizational clarity on complex AI responsibility and safety questions, working through ambiguity at pace with a high degree of autonomy and judgment. Develop and embed Responsible AI best practices across Microsoft Superintelligence workflows. Partner with colleagues in the Office of Responsible AI and Microsoft&#39;s Corporate, External and Legal Affairs (CELA) team to develop and apply innovative governance processes responsive to a dynamic technical and regulatory landscape.</p>\n<p>Qualifications: Required Qualifications: Related bachelor&#39;s degree AND experience in AI policy, AI governance or a related field OR equivalent experience. Demonstrated experience identifying and addressing risks related to frontier AI through both technical and non-technical measures. Deep understanding of current challenges and priorities in AI responsibility and safety. Proven ability to collaborate with highly technical stakeholders, identify novel risks from technical specifications and guide mitigation efforts. Experience standing up and operationalizing governance processes or managing complex programs requiring rigorous yet fast-paced execution and stakeholder management. Track record of delivering on complex cross-functional projects in ambiguous, rapidly changing environments and demands. Additional or Preferred Qualifications: Experience drafting model-level policies or evaluating foundation models. Research background in fields related to AI and society. Broad perspective on AI risks, from content safety and psychosocial harms, to frontier risks. Familiarity with frontier AI governance frameworks and emerging AI regulation.</p>\n<p>Salary: The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.</p>\n<p>Benefits: Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3337cbeb-901","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/technical-program-manager-responsible-ai-2/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["AI policy","AI governance","Technical program management","Risk management","Governance processes","Stakeholder management","Complex project delivery"],"x-skills-preferred":["Model-level policies","Foundation model evaluation","Research in AI and society","Frontier AI governance frameworks","Emerging AI regulation"],"datePosted":"2026-04-24T12:12:59.575Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI policy, AI governance, Technical program management, Risk management, Governance processes, Stakeholder management, Complex project delivery, Model-level policies, Foundation model evaluation, Research in AI and society, Frontier AI governance frameworks, Emerging AI regulation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_497d2bd5-6b5"},"title":"Senior Privacy Product Manager","description":"<p>As a Senior Privacy Product Manager within the Microsoft AI (MAI) organization, you will work across our portfolio of products and services to manage the strategy and execution of the privacy program. You will collaborate with engineering to inform and promote transparency, choice, and privacy management experiences that influence Microsoft’s collection and use of personal data. The right person has a passion for deeply understanding customer needs, protecting customer rights, and enabling the business. Candidates should have proven experience applying privacy requirements to engineering solutions going beyond standard risk and compliance management.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities: Be the privacy advisor to engineering teams. Apply your privacy knowledge and background in developing user consents, data collection requirements, recommending data storage and processing, and ensuring MAI products and services meet privacy requirements and business objectives. Translate privacy regulations and standards into actionable requirements. Create and execute privacy compliance plans, working across compliance, organization, business, and engineering teams to ensure deliverables are met. Identify, drive adoption of, and monitor the implementation of new and existing controls as needed for compliance or new regulations. Develop and maintain standards and policies, such as risk assessment templates, audit frameworks, oversight expectations, and reporting metrics. Help educate teams and drive compliance as a mindset across engineering and research teams. Identify and drive compliance program improvements, including process improvements, tooling requirements, and opportunities to improve the experience for engineers.</p>\n<p>Qualifications: Required Qualifications: Bachelor’s Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience. Preferred Qualifications: Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. 3+ years demonstrated technical and/or feature program management. Practical experience creating and maintaining compliance programs and conducting privacy reviews. Demonstrated team and project management excellence in medium-large scale projects including managing a scope, schedule, and budget. Experience managing privacy, security, or audit compliance related engineering programs. IAPP Certified Information Privacy Professional (CIPP).</p>\n<p>#MicrosoftAI Product Management IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_497d2bd5-6b5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-privacy-product-manager-microsoft-ai-2/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 – $234,700 per year","x-skills-required":["product management","software development","compliance management","data protection","privacy regulations","risk assessment","audit frameworks","oversight expectations","reporting metrics"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:12:59.117Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, software development, compliance management, data protection, privacy regulations, risk assessment, audit frameworks, oversight expectations, reporting metrics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2c095439-13b"},"title":"Principal Software Engineer","description":"<p>Microsoft Advertising is seeking a Principal Software Engineer to join our Ads Engineering Platform team and advance the core capabilities of our ad-serving infrastructure,the engine that powers advertising across Bing Search, MSN, Microsoft Start, and shopping experiences in the Edge browser.</p>\n<p>Our serving stack operates at massive global scale, delivering millions of ad requests per second through a geo-distributed, low-latency system that combines large-scale GPU/CPU inference, real-time bidding, and intelligent ranking pipelines.</p>\n<p>This role focuses on advancing the performance, efficiency, and scalability of the next generation of model serving and inference platforms for Ads.</p>\n<p>As a senior technical leader, you’ll design and optimize high-performance serving systems and GPU inference frameworks that drive measurable latency improvements and cost efficiency across Microsoft’s ad ecosystem.</p>\n<p>You’ll work across the stack,from CUDA kernel tuning and NUMA-aware threading to large-scale distributed orchestration and model deployment for deep learning and LLM workloads.</p>\n<p>This is a rare opportunity to shape the architecture of one of the world’s most advanced, mission-critical online serving platforms, collaborating with world-class engineers to deliver innovation at Internet scale.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more.</p>\n<p>As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.</p>\n<p>Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.</p>\n<p>This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<p>Design and lead the development of large-scale, distributed online serving systems,including GPU-accelerated and CPU-based ranking/inference pipelines,to process millions of ad requests per second with ultra-low latency, high throughput, and solid reliability.</p>\n<p>Architect and optimize end-to-end inference infrastructure, including model serving, batching/streaming, caching, scheduling, and resource orchestration across heterogeneous hardware (GPU, CPU, and memory tiers).</p>\n<p>Profile and optimize performance across the full stack,from CUDA kernels and GPU pipelines to CPU threads and OS-level scheduling,identifying bottlenecks, tuning latency tails, and improving cost efficiency through advanced profiling and instrumentation.</p>\n<p>Own live-site reliability as a DRI: design telemetry, alerting, and fault-tolerance mechanisms; drive rapid diagnosis and mitigation of performance regressions or outages in globally distributed systems.</p>\n<p>Collaborate and mentor across teams,driving architecture reviews, enforcing engineering excellence, promoting system-level optimization practices, and mentoring others in deep debugging, profiling, and performance engineering.</p>\n<p>Qualifications:</p>\n<p>Required Qualifications:</p>\n<p>Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Preferred Qualifications:</p>\n<p>Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Industry experience in advertising or search engine backend systems, such as large-scale ad ranking, real-time bidding (RTB), or relevance-serving infrastructure.</p>\n<p>Hands-on experience with real-time data streaming systems (Kafka, Flink, Spark Streaming), feature-store integration, and multi-region deployment for low-latency, globally distributed services.</p>\n<p>Familiarity with LLM inference optimization,model sharding, tensor/kv-cache parallelism, paged attention, continuous batching, quantization (AWQ/FP8), and hybrid CPU–GPU orchestration.</p>\n<p>Demonstrated success operating large-scale systems with SLA-based capacity forecasting, autoscaling, and performance telemetry; proven leadership in cross-functional architecture initiatives and technical mentorship.</p>\n<p>Passion for performance engineering, observability, and deep systems debugging, with a solid drive to push the limits of serving infrastructure for the next generation of ads and AI models.</p>\n<p>Deep expertise in GPU inference frameworks such as NVIDIA Triton Inference Server, CUDA, and TensorRT, including hands-on experience implementing custom CUDA kernels, optimizing memory movement (H2D/D2H), overlapping compute and I/O, and maximizing GPU occupancy and kernel fusion for deep learning and LLM workloads.</p>\n<p>Solid understanding of model-serving trade-offs,batching vs. streaming, latency vs. throughput, quantization (FP16/BF16/INT8), dynamic batching, continuous model rollout, and adaptive inference scheduling across CPU/GPU tiers.</p>\n<p>Proven ability to profile and optimize GPU and system workloads,including tensor/memory alignment, compute–memory balancing, embedding table management, parameter servers, hierarchical caching, and vectorized inference for transformer/LLM architectures.</p>\n<p>Expertise in low-level system and OS internals, including multi-threading, process scheduling, NUMA-aware memory allocation, lock-free data structures, context switching, I/O stack tuning (NVMe, RDMA), kernel bypass (DPDK, io_uring), and CPU/GPU affinity optimization for large-scale serving pipelines.</p>\n<p>#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. 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It’s Possible.</p>\n<p>At Pinterest, AI isn&#39;t just a feature, it&#39;s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.</p>\n<p>To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>\n<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.</p>\n<p>You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</p>\n<p>As Senior Regulatory Counsel, you will help lead the company’s engagement with regulators globally, covering a broad range of regulations including online safety, content, intermediary liability, competition, and more.</p>\n<p>In this role, you’ll manage a range of cutting-edge matters for Pinterest and help the company build and maintain relationships with regulators globally, respond to regulatory inquiries and requests for information, coordinate cross-functional responses across Legal and Business teams, and help position Pinterest effectively and consistently in high-stakes regulatory matters.</p>\n<p>You will work closely with subject matter experts across Legal, as well as Public Policy and Communications, to assess regulatory developments, advise on risk, and support the company’s approach to evolving global content laws and regulatory frameworks.</p>\n<p>Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working.</p>\n<p>Visit our PinFlex landing page to learn more.</p>\n<p>What you’ll do:</p>\n<ul>\n<li>Build and maintain strong relationships with Pinterest’s regulators globally, with a focus on content regulation, online safety, intermediary liability, and competition.</li>\n</ul>\n<ul>\n<li>Lead responses to regulatory inquiries, requests for information, and other regulatory-facing matters, including coordinating with internal subject matter experts and outside counsel as needed.</li>\n</ul>\n<ul>\n<li>Draft clear, persuasive materials for regulatory engagements including consultation responses, regulatory submissions, position papers, and related communications.</li>\n</ul>\n<ul>\n<li>Defend the company in regulatory enforcement matters.</li>\n</ul>\n<ul>\n<li>Provide strategic legal guidance to cross-functional partners and members of the Legal team on emerging regulatory requirements.</li>\n</ul>\n<ul>\n<li>Partner closely with Legal, Public Policy, Communications, and other cross-functional teams to ensure consistent, well-supported regulatory positions and external messaging., including through the drafting of consultation responses to new laws.</li>\n</ul>\n<ul>\n<li>Monitor ongoing developments in legislation and regulatory guidance applicable to Pinterest.</li>\n</ul>\n<ul>\n<li>Support development of scalable approaches for managing regulatory risk across multiple jurisdictions while balancing local regulatory requirements and enforcement risks.</li>\n</ul>\n<ul>\n<li>Leverage AI-enabled tools thoughtfully and responsibility to improve the efficiency, consistency, and scalability of regulatory workflows, including information gathering, issue spotting, and response coordination.</li>\n</ul>\n<ul>\n<li>Identify opportunities to streamline repetitive regulatory processes through AI and other tools, while maintaining appropriate legal oversight and quality control.</li>\n</ul>\n<ul>\n<li>Exercise strong judgment in reviewing and validating AI-assisted work product, ensuring that materials are accurate, nuanced, and aligned with Pinterest’s strategic positions.</li>\n</ul>\n<p>What we’re looking for:</p>\n<ul>\n<li>Qualified to practice law in the jurisdiction where you reside.</li>\n</ul>\n<ul>\n<li>At least 5 years of post-qualification experience advising on content, platform, or other 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independence, sound judgment, and attention to detail.</li>\n</ul>\n<ul>\n<li>Eagerness to learn, strong ownership, and a flexible, collaborative approach to problem-solving.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to use AI and other technology tools effectively and responsibly and identify practical opportunities to improve effectiveness, or willingness to learn.</li>\n</ul>\n<ul>\n<li>Experience navigating complex, multi-jurisdictional legal and compliance issues for a technology company or similarly dynamic environment preferred.</li>\n</ul>\n<ul>\n<li>Experience with implementation and compliance with global content laws, preferred.</li>\n</ul>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance.</p>\n<p>Visit our PinFlex page to learn more about our working model.</p>\n<p>In-Office Requirement Statement:</p>\n<p>We let the type of work you do guide the collaboration style.</p>\n<p>That means we&#39;re not always working in an office, but we continue to gather for key moments of collaboration and connection.</p>\n<p>This role may need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</p>\n<p>#LI-REMOTE #LI-EP4</p>\n<p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee.</p>\n<p>In an effort to provide greater transparency, we are sharing the base salary range for this position.</p>\n<p>The position is also eligible for equity.</p>\n<p>Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>\n<p>Information regarding the culture at Pinterest and benefits available for this position can be found here.</p>\n<p>US based applicants only $158,765-$326,870 USD</p>\n<p>Our Commitment to Inclusion:</p>\n<p>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.</p>\n<p>We want to have the best qualified people in every job.</p>\n<p>All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.</p>\n<p>We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p>\n<p>If you require a medical or religious accommodation during the job application process, please complete this form for support.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build secure and performant AI Platform services that power Copilot.</li>\n<li>Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next-generation AI products and services.</li>\n<li>Ship high-quality, well-tested, secure, and maintainable code.</li>\n<li>Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.</li>\n<li>Enjoy working in a fast-paced, design-driven, product development cycle.</li>\n<li>Embody our Culture and Values.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>8+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.</li>\n<li>Extensive use of datastores like RDBMS, key-value stores, etc.</li>\n<li>8+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.</li>\n<li>6+ years people management experience.</li>\n<li>Experience working with AI platforms, frameworks, and APIs.</li>\n<li>Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.</li>\n<li>Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.</li>\n<li>Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.</li>\n<li>Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.</li>\n<li>Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.</li>\n<li>Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.</li>\n<li>Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.</li>\n<li>Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.</li>\n</ul>\n<p><strong>Software Engineering</strong></p>\n<ul>\n<li>The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year.</li>\n<li>There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.</li>\n<li>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_866fa94d-025","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/mts-platform-engineering-manager/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"Base pay range varies by location","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Azure","AWS","GCP","RDBMS","key-value stores","bare-metal hosts","containers","networking","AI platforms","frameworks","APIs","Machine Learning frameworks","language learning models"],"x-skills-preferred":["web development","AI","emerging technologies"],"datePosted":"2026-04-24T12:12:12.210Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Azure, AWS, GCP, RDBMS, key-value stores, bare-metal hosts, containers, networking, AI platforms, frameworks, APIs, Machine Learning frameworks, language learning models, web development, AI, emerging technologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bf1554e6-c64"},"title":"Software Engineer, AI Agents","description":"<p>About Us</p>\n<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world&#39;s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Why This Role Matters</p>\n<p>At Cloudflare, we&#39;re building industrial-scale AI agents that support customers directly. This isn&#39;t research theater. Your code will power real customer interactions from day one, at global scale. Cloudflare already has the parts. 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HTTP, queues, async, performance</li>\n<li>Fluency with Durable Objects, KV or R2, and either D1 or Postgres</li>\n<li>Hands on with model tooling. Prompt I/O, tool calling, evals, safety checks</li>\n<li>Observability mindset. Logs, traces, metrics, redlines</li>\n<li>Experience with a2a/multi-agent frameworks</li>\n<li>Experience developing LLM evaluation frameworks; automated scoring systems, CI-integrated quality gates.</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Workers AI, AI Gateway, and Vectorize in production</li>\n<li>Salesforce or Service Cloud experience. Webhooks and case APIs</li>\n<li>Security depth. Prompt injection protection, secrets detection, PII handling</li>\n<li>OSS agent frameworks. Know what to borrow and what to throw away.</li>\n</ul>\n<p>How We Build</p>\n<p>Align fast on what matters.</p>\n<p>Divide and conquer. Own your piece.</p>\n<p>Ship. Watch customers use it.</p>\n<p>Learn and repeat.</p>\n<p>Why Join Cloudflare in India?</p>\n<p>Impact at global scale: Your code will serve Cloudflare&#39;s customers across every region. Tens of millions of Internet properties depend on us.</p>\n<p>Work on the edge: Few companies give engineers the chance to build AI directly into an edge platform that runs in 300+ cities worldwide.</p>\n<p>Career growth: As one of the early engineers in our India based AI team, you&#39;ll have visibility, leadership opportunities, and a direct hand in shaping Cloudflare&#39;s AI roadmap.</p>\n<p>Culture of ownership: We believe in autonomy, accountability, and trust. Engineers here own outcomes, not just tickets.</p>\n<p>Learn and grow fast: Collaborate with peers across Support, Product, Security, and AI Platform teams. We encourage knowledge sharing, mentorship, and continuous learning.</p>\n<p>Interview Signal</p>\n<p>Expect to demonstrate your ability to:</p>\n<ul>\n<li>Build a mini agent on Workers using the Agent SDK</li>\n<li>Store session memory in Durable Objects</li>\n<li>Add semantic recall with Vectorize</li>\n<li>Ship behind a KV flag with traces and observability</li>\n<li>Push to production fast and take ownership</li>\n</ul>\n<p>Team Mission</p>\n<p>The Agent Tech team owns the end to end stack for customer facing agents on Cloudflare. Everything runs at the edge.</p>\n<p>Core Stack: Workers, Durable Objects, KV, R2, D1, Queues, Pub/Sub, Vectorize, Workers AI, AI Gateway, Pages, Zero Trust.</p>\n<p>Principles: Ship fast. Measure truth. Simplify relentlessly. Own outcomes.</p>\n<p>Fraud Alert</p>\n<p>Do not fall victim to recruitment fraud. Cloudflare never charges application fees or requires candidates to purchase third-party certifications or training as a condition of employment. All official communication comes strictly from @cloudflare.com email addresses.</p>\n<p>What Makes Cloudflare Special?</p>\n<p>We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul.</p>\n<p>Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.</p>\n<p>Sound like something you’d like to be a part of? We’d love to hear from you!</p>\n<p>This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.</p>\n<p>Cloudflare is proud to be an equal opportunity employer. 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Securing that kind of system requires more than traditional boundaries or static controls,it demands adaptive defenses, intelligent guardrails, and provable isolation that operate continuously at runtime. Copilot Security and Privacy is responsible for building those capabilities directly into Copilot. Our work focuses on new security primitives for agentic AI, including real-time intent validation, workload isolation with verifiable guarantees, AI-driven guardrails, and offensive security techniques that model how intelligent systems fail under pressure.</p>\n<p>We are hiring a Principal Security Engineer to help design and build these systems end-to-end. This is a hands-on engineering role for someone who wants to ship production code into a globally deployed AI platform,developing adaptive defenses, agentic offensive security, and security architectures that scale with autonomy. The problems are technically deep, often unsolved, and central to making advanced AI systems deployable in the real world. Most security roles focus on protecting existing systems. This role helps define the security architecture for systems that are still being invented. You will work at the intersection of AI, security, privacy, and distributed systems,building defenses that enable safe autonomy rather than limiting innovation.</p>\n<p>If you want to shape how agentic AI is secured at global scale, this is a uniquely high-impact opportunity.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. 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Join our team and play a pivotal role in building Advertiser Copilot, an innovative AI-powered assistant designed to help advertisers create and manage their campaigns through a seamless chat-based interface.</p>\n<p>Leveraging state-of-the-art Generative AI (GenAI), Advertiser Copilot generates text, image, and video creative assets, making campaign creation efficient and intuitive.</p>\n<p>As a Software Engineer on our team, you will:</p>\n<ul>\n<li>Design and develop the core platform for Advertiser Copilot using Semantic Kernel to enable intelligent interactions.</li>\n<li>Integrate cutting-edge GenAI models for text, image, and video generation, empowering advertisers to craft high-quality creatives effortlessly.</li>\n<li>Build scalable and efficient AI-driven workflows for campaign management within a chat-based UI.</li>\n<li>Collaborate with cross-functional teams, including AI researchers, product managers, and UX designers, to deliver an intuitive and powerful advertiser experience.</li>\n<li>Ensure high system reliability, security, and performance to support a production-grade AI assistant.</li>\n</ul>\n<p>This opportunity will allow you to accelerate your career growth, work with the latest advancements in Generative AI, and influence technology development in a high-impact growth area at Microsoft AI.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Collaborate with stakeholders to determine user requirements for Advertiser Copilot features.</li>\n<li>Drive the design and development of scalable and secure platforms, ensuring high performance and maintainability.</li>\n<li>Implement and optimize AI-driven workflows, ensuring efficiency and effectiveness.</li>\n<li>Lead technical discussions, identify dependencies, and develop design documents.</li>\n<li>Act as a Designated Responsible Individual (DRI), monitoring system reliability and resolving complex issues in real-time.</li>\n<li>Mentor engineers in the team.</li>\n<li>Continuously learn and adapt to emerging technologies, improving system availability, reliability, and performance.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.</li>\n<li>These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>Experience with Azure/AWS and Kubernetes for container orchestration and deployment.</li>\n<li>Proficiency in REST API development, ensuring secure and scalable communication between systems.</li>\n<li>Experience with Microsoft Agent Framework or other AI integration frameworks.</li>\n<li>Proven ability to build and maintain large-scale, high-availability systems in Kubernetes.</li>\n<li>Solid collaboration skills, working effectively with cross-functional teams including AI researchers and UX designers.</li>\n<li>Passion for staying updated with the latest advancements in Generative AI and cloud technologies.</li>\n</ul>\n<p>#MicrosoftAI #MicrosoftAds</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8bf079ca-77c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-backend-4/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 – $234,700 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Semantic Kernel","Generative AI","REST API development","Kubernetes","Azure/AWS"],"x-skills-preferred":["Microsoft Agent Framework","AI integration frameworks","Cloud technologies"],"datePosted":"2026-04-24T12:11:16.519Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Semantic Kernel, Generative AI, REST API development, Kubernetes, Azure/AWS, Microsoft Agent Framework, AI integration frameworks, Cloud technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5e4f576f-47c"},"title":"Software Engineer II","description":"<p>We are looking for a Software Engineer II to build and evolve a high-quality consumer-facing Windows application used by millions of users. You will work across the full product lifecycle (design, development, experimentation, and production) partnering closely with Product Managers, Designers, and Data Science teams to deliver intuitive, performant, and reliable Windows experiences.</p>\n<p>This role emphasizes strong engineering fundamentals, customer empathy, and ownership of end-to-end feature delivery in a fast-moving consumer environment. Microsoft&#39;s mission is to empower every person and every organization on the planet to achieve more.</p>\n<p>As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. 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We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.</p>\n<p>In this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design &amp; implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.</li>\n<li>Own end-to-end ML pipelines , feature engineering, model training, offline/online evaluation, and production inference optimization.</li>\n<li>Innovate by applying state-of-the-art methods including LLM-enhanced ranking, contextual bandits, reinforcement learning, and generative recommendation approaches.</li>\n<li>Collaborate cross-functionally with engineering, product, and platform teams to translate research insights into shipped features.</li>\n<li>Contribute to technical direction within the team , propose experiments, identify opportunities, and drive projects from ideation to production.</li>\n<li>Mentor less experienced scientists and engineers, fostering a culture of technical excellence and knowledge sharing.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n<li>4+ years of industry experience in applied science, machine learning, or deep learning at scale.</li>\n<li>Solid foundation in recommendation systems, ranking models, or search relevance.</li>\n<li>Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and cloud-scale ML infrastructure.</li>\n<li>Proficiency in Python and data processing tools (Spark, Pandas, or equivalent).</li>\n<li>Track record of shipping ML models to production with measurable user impact.</li>\n<li>Experience with LLM-based ranking, retrieval-augmented generation (RAG), or generative recommendation systems.</li>\n<li>Familiarity with multi-objective optimization, heterogeneous signal fusion, or user modeling.</li>\n<li>Experience with online experimentation (A/B testing, interleaving) and metrics-driven development.</li>\n<li>Publications at top venues (NeurIPS, ICML, KDD, WWW, RecSys, SIGIR).</li>\n<li>Exposure to agentic AI systems or autonomous content curation pipelines.</li>\n<li>Experience with distributed ML training and large-scale data pipelines.</li>\n</ul>\n<p>#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.</p>\n<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c3894069-07b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-53/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["deep learning","LLMs","advanced recommendation techniques","feature engineering","model training","offline/online evaluation","production inference optimization","state-of-the-art methods","LLM-enhanced ranking","contextual bandits","reinforcement learning","generative recommendation approaches","cross-functional collaboration","engineering","product","platform teams","research insights","shipped features","technical direction","experiments","opportunities","projects","ideation","production","mentorship","technical excellence","knowledge sharing","statistics","predictive analytics","research","applied science","machine learning","deep learning at scale","recommendation systems","ranking models","search relevance","deep learning frameworks","cloud-scale ML infrastructure","Python","data processing tools","Spark","Pandas","shipping ML models","LLM-based ranking","retrieval-augmented generation","generative recommendation systems","multi-objective optimization","heterogeneous signal fusion","user modeling","online experimentation","metrics-driven development","publications","agentic AI systems","autonomous content curation pipelines","distributed ML training","large-scale data pipelines"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:10:43.896Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deep learning, LLMs, advanced recommendation techniques, feature engineering, model training, offline/online evaluation, production inference optimization, state-of-the-art methods, LLM-enhanced ranking, contextual bandits, reinforcement learning, generative recommendation approaches, cross-functional collaboration, engineering, product, platform teams, research insights, shipped features, technical direction, experiments, opportunities, projects, ideation, production, mentorship, technical excellence, knowledge sharing, statistics, predictive analytics, research, applied science, machine learning, deep learning at scale, recommendation systems, ranking models, search relevance, deep learning frameworks, cloud-scale ML infrastructure, Python, data processing tools, Spark, Pandas, shipping ML models, LLM-based ranking, retrieval-augmented generation, generative recommendation systems, multi-objective optimization, heterogeneous signal fusion, user modeling, online experimentation, metrics-driven development, publications, agentic AI systems, autonomous content curation pipelines, distributed ML training, large-scale data pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_35321a69-897"},"title":"Engineering Manager - App Frameworks","description":"<p>At Databricks, we are seeking an experienced Engineering Manager to lead our App Framework team. As an Engineering Manager, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks.</p>\n<p>The team&#39;s goal is to make every service at Databricks fast, reliable, observable, and secure by default, without each team having to solve these problems independently. The team owns the core application platform: multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language.</p>\n<p>As an Engineering Manager, you will lead a team of talented engineers building core application platform infrastructure used by every service at Databricks. You will own and drive the technical roadmap for one or more pillars, drive multi-quarter execution on high-impact platform initiatives, hire great engineers to build an outstanding team, and support engineers in their career development.</p>\n<p>We are looking for someone with 5+ years of engineering experience building and operating large-scale distributed systems, service frameworks, or platform infrastructure, and 2+ years of engineering management experience leading strong technical teams.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_35321a69-897","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8510921002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$261,250 USD","x-skills-required":["engineering experience building and operating large-scale distributed systems","service frameworks","platform infrastructure","engineering management experience leading strong technical teams","hiring great engineers"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:10:26.767Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"engineering experience building and operating large-scale distributed systems, service frameworks, platform infrastructure, engineering management experience leading strong technical teams, hiring great engineers","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":261250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_da519580-83a"},"title":"Senior Software Engineer - Copilot Security","description":"<p>About the Team Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems.</p>\n<p>About the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.</p>\n<p>Responsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.</p>\n<p>Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks. Agentic AI Development &amp; Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns. Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments. Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming. Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview). Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.</p>\n<p>#MicrosoftAI Software Engineering IC4 The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_da519580-83a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-copilot-security-5/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 – $234,700 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","LangGraph","Amazon Strands SDK","Docker","Kubernetes","Ray","Slurm","HPC","ML model deployment","ML lifecycle management","Phoenix","MLFlow","LangFuse","Azure AI services","Azure OpenAI Service","Microsoft security platforms","Azure AD","Defender","Purview"],"x-skills-preferred":["agentic AI","secure orchestration","advanced threat defenses","distributed training frameworks","containerization and orchestration technologies","evaluation frameworks for LLM-based applications","observability for agent systems"],"datePosted":"2026-04-24T12:10:23.527Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, LangGraph, Amazon Strands SDK, Docker, Kubernetes, Ray, Slurm, HPC, ML model deployment, ML lifecycle management, Phoenix, MLFlow, LangFuse, Azure AI services, Azure OpenAI Service, Microsoft security platforms, Azure AD, Defender, Purview, agentic AI, secure orchestration, advanced threat defenses, distributed training frameworks, containerization and orchestration technologies, evaluation frameworks for LLM-based applications, observability for agent systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f95396ca-33e"},"title":"Senior Solutions Architect","description":"<p>About Us</p>\n<p>At Cloudflare, we&#39;re on a mission to help build a better Internet. Today the company runs one of the world&#39;s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>As a Senior Solutions Architect, you&#39;ll be a trusted advisor to Cloudflare&#39;s most strategic enterprise customers. You&#39;ll guide digital transformation by aligning business outcomes with Cloudflare&#39;s technology platform,including our network, application, security, and developer services.</p>\n<p>Responsibilities</p>\n<p>Serve as a strategic technical advisor for Cloudflare&#39;s top enterprise customers and prospects.</p>\n<p>Engage at C-level (CIO, CTO, CISO) to influence technology roadmaps and position Cloudflare as a digital transformation partner.</p>\n<p>Facilitate architectural visioning and roadmap workshops that connect business value to Cloudflare&#39;s platform capabilities,including emerging use cases in edge compute and serverless development.</p>\n<p>Partner with Enterprise Architects and Engineering teams to co-design secure, scalable architectures that leverage Cloudflare&#39;s global network.</p>\n<p>Translate industry trends (Zero Trust, Digital Sovereignty, AI workloads) into actionable architectural strategies for customers.</p>\n<p>Guide clients across the engagement lifecycle: initial strategy, technical design, proof of concept, value realization, and ongoing success planning.</p>\n<p>Identify product gaps and provide structured feedback to Product and Engineering teams; participate in roadmap reviews.</p>\n<p>Inspire thought leadership through industry events, internal enablement, and technical storytelling.</p>\n<p>What Success Looks Like</p>\n<p>In your first 6 months:</p>\n<p>You&#39;ve built trusted executive relationships across 3–5 strategic accounts.</p>\n<p>You&#39;ve led 2–3 vision-setting or architecture workshops resulting in multi-year roadmap alignment.</p>\n<p>You&#39;ve shaped at least one key customer engagement involving i.e Cloudflare Developer Platform,demonstrating how edge-native services can accelerate innovation or reduce complexity.</p>\n<p>What We&#39;re Looking For</p>\n<p>15+ years of experience in technical presales, enterprise architecture, or IT leadership (e.g., Chief Architect, CTO, CISO).</p>\n<p>Fluent in both business and technology strategy: able to make ROI-driven business cases while diving deep into technical design.</p>\n<p>Familiarity with transformation levers such as Zero Trust, cloud migration, developer productivity, and edge compute.</p>\n<p>Strong experience working with modern application architectures (e.g., microservices, APIs, event-driven systems, CI/CD).</p>\n<p>Exposure to developer-first platforms, serverless models, or edge computing frameworks (Cloudflare Workers, AWS Lambda, GCP Cloud Functions, etc.).</p>\n<p>Comfortable engaging a range of personas,from infrastructure teams to app developers to the C-suite.</p>\n<p>Confident in public speaking, customer workshops, and evangelizing new ideas internally and externally.</p>\n<p>Bonus: Familiarity with frameworks like TOGAF, NIST SP 800-207, and cyber risk management principles.</p>\n<p>Preferred Qualifications</p>\n<p>Bachelor&#39;s or Master’s degree in Computer Science, Engineering, Information Security, or related field.</p>\n<p>Experience in regulated industries (FSI, Government, Telco) or complex multi-cloud/hybrid environments.</p>\n<p>Hands-on technical curiosity and the ability to learn continuously,especially across networking, application performance, security, and developer services.</p>\n<p>What Makes Cloudflare Special?</p>\n<p>We&#39;re not just a highly ambitious, large-scale technology company. We&#39;re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.</p>\n<p>Sound like something you’d like to be a part of? 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