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You will manage and evolve our approach to external penetration testing and bug bounties, driving remediation for findings and treating vulnerability management as an engineering problem.</p>\n<p>You will contribute to the long-term roadmaps, metrics, and strategic planning for the security team. As a senior member of the team, you will lead complex threat modelling sessions for major product launches and define secure coding standards, and actively mentor other engineers to raise the technical security bar across the organisation.</p>\n<p>We are looking for a highly experienced Product Security Engineer with a strong background in computer science or a related field, and proficiency in writing clean, maintainable code. You should have deep familiarity with JavaScript or TypeScript, Node.js, and modern web application frameworks, and be able to reason about the security implications of systems built on them. You should also have hands-on experience securing LLM integrations and identifying prompt injection or data leakage risks.</p>\n<p>You will excel at communicating complex security risks to non-security stakeholders and enjoy collaborating cross-functionally to find solutions that balance security with engineering velocity. 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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>Okta&#39;s Business Technology organisation builds secure and intelligent internal platforms that power our global workforce. Our AI &amp; Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.</p>\n<p>We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals , all with scale, governance, and user experience in mind.</p>\n<p><strong>The Opportunity</strong></p>\n<p>As a Senior Software Engineer, Applied AI, you&#39;ll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. 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GenAI capabilities into their own applications.</li>\n</ul>\n<ul>\n<li>Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).</li>\n</ul>\n<ul>\n<li>Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).</li>\n</ul>\n<ul>\n<li>Ensure security, privacy, observability, and test coverage across the full stack.</li>\n</ul>\n<ul>\n<li>Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.</li>\n</ul>\n<ul>\n<li>Partner with platform and infrastructure teams to ensure services scale reliably across the org.</li>\n</ul>\n<p><strong>What You&#39;ll Bring</strong></p>\n<ul>\n<li>5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.</li>\n</ul>\n<ul>\n<li>Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.</li>\n</ul>\n<ul>\n<li>2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.</li>\n</ul>\n<ul>\n<li>Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.</li>\n</ul>\n<ul>\n<li>Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).</li>\n</ul>\n<ul>\n<li>Familiarity with secure coding, authentication/authorisation, and internal data governance best practices.</li>\n</ul>\n<ul>\n<li>Ability to collaborate across engineering, design, and product teams , with a strong sense of user empathy and technical ownership.</li>\n</ul>\n<ul>\n<li>Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.</li>\n</ul>\n<p><strong>Why Join Okta</strong></p>\n<ul>\n<li>Make AI Real: Design and build AI-powered apps used daily by Okta employees.</li>\n</ul>\n<ul>\n<li>Full-Stack Challenge: Tackle end-to-end problems , from LLM orchestration to intuitive UIs.</li>\n</ul>\n<ul>\n<li>Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.</li>\n</ul>\n<p>#LI-MK1</p>\n<p>#LI-hybrid</p>\n<p>P24739_3355024</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_fff47210-64d","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/7589781","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000-$247,000 USD","x-skills-required":["Python","AWS","Docker","RESTful APIs","React","TypeScript","Vue","LLM integration","RAG pipelines","prompt engineering","orchestration frameworks","distributed systems","APIs","microservices","container orchestration","cloud platforms"],"x-skills-preferred":["design systems","AI evaluation tooling","real-time application performance monitoring"],"datePosted":"2026-04-18T15:47:54.323Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, AWS, Docker, RESTful APIs, React, TypeScript, Vue, LLM integration, RAG pipelines, prompt engineering, orchestration frameworks, distributed systems, APIs, microservices, container orchestration, cloud platforms, design systems, AI evaluation tooling, real-time application performance monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":247000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bc3394a5-691"},"title":"Senior Software Engineer, Applied AI (Fullstack)","description":"<p>Secure Every Identity, from AI to Human</p>\n<p>Identity is the key to unlocking the potential of AI. 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GenAI capabilities into their own applications.</li>\n</ul>\n<ul>\n<li>Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).</li>\n</ul>\n<ul>\n<li>Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).</li>\n</ul>\n<ul>\n<li>Ensure security, privacy, observability, and test coverage across the full stack.</li>\n</ul>\n<ul>\n<li>Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.</li>\n</ul>\n<ul>\n<li>Partner with platform and infrastructure teams to ensure services scale reliably across the org.</li>\n</ul>\n<p><strong>What You&#39;ll Bring</strong></p>\n<ul>\n<li>5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.</li>\n</ul>\n<ul>\n<li>Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.</li>\n</ul>\n<ul>\n<li>2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.</li>\n</ul>\n<ul>\n<li>Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.</li>\n</ul>\n<ul>\n<li>Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).</li>\n</ul>\n<ul>\n<li>Familiarity with secure coding, authentication/authorisation, and internal data governance best practices.</li>\n</ul>\n<ul>\n<li>Ability to collaborate across engineering, design, and product teams , with a strong sense of user empathy and technical ownership.</li>\n</ul>\n<ul>\n<li>Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.</li>\n</ul>\n<p><strong>Why Join Okta</strong></p>\n<ul>\n<li>Make AI Real: Design and build AI-powered apps used daily by Okta employees.</li>\n</ul>\n<ul>\n<li>Full-Stack Challenge: Tackle end-to-end problems , from LLM orchestration to intuitive UIs.</li>\n</ul>\n<ul>\n<li>Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.</li>\n</ul>\n<p>#LI-MK1</p>\n<p>#LI-hybrid</p>\n<p>P24739_3355024</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_bc3394a5-691","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/7599857","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000-$247,000 USD","x-skills-required":["Python","AWS","Docker","RESTful APIs","React","TypeScript","Vue","LLM integration","RAG pipelines","prompt engineering","orchestration frameworks","distributed systems","APIs","microservices","container orchestration","cloud platforms"],"x-skills-preferred":["design systems","AI evaluation tooling","real-time application performance monitoring"],"datePosted":"2026-04-18T15:45:45.352Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, AWS, Docker, RESTful APIs, React, TypeScript, Vue, LLM integration, RAG pipelines, prompt engineering, orchestration frameworks, distributed systems, APIs, microservices, container orchestration, cloud platforms, design systems, AI evaluation tooling, real-time application performance monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":247000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2633c729-ce3"},"title":"Engineering Manager, People Products","description":"<p><strong>About the Role</strong></p>\n<p>In this role, you will lead the People Products team in defining the blueprint for AI at work. You will help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic&#39;s culture through the tools we build.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build full-stack end-to-end across the People Products portfolio.</li>\n<li>Design and implement AI-native workflows: build tools, evals, prompts, and products. You&#39;ll help define what is possible in applied AI for people processes.</li>\n<li>Work directly with internal stakeholders , HR teams, recruiters, managers , to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.</li>\n<li>Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.</li>\n<li>Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments.</li>\n<li>Derive joy from hard work and the act of creation.</li>\n<li>Have shipped LLM-native features or applications.</li>\n<li>Are experienced enough to build big features independently, and make great architectural decisions along the way.</li>\n<li>Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.</li>\n<li>Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.</li>\n<li>Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.</li>\n<li>Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.</li>\n<li>Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.</li>\n<li>Background at an AI-native company or in a product-focused 0-&gt;1 engineering environment.</li>\n<li>Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.</li>\n<li>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.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>\n</ul>\n<p><strong>How we&#39;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. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</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, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</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_2633c729-ce3","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/5119478008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Engineering Management","AI Native Workflows","Full Stack Development","Product Decisions","Communication Skills"],"x-skills-preferred":["MCP (Model Context Protocol)","Claude or LLM Integrations","HR Tech Platforms","Greenhouse","Workday","Rippling"],"datePosted":"2026-04-18T15:40:33.442Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel Required) | San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Engineering Management, AI Native Workflows, Full Stack Development, Product Decisions, Communication Skills, MCP (Model Context Protocol), Claude or LLM Integrations, HR Tech Platforms, Greenhouse, Workday, Rippling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cece3778-5b8"},"title":"Finance Systems Integration Engineer","description":"<p>We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You&#39;ll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives.</p>\n<p>As you master our integration landscape, you&#39;ll have opportunities to expand into Claude-powered AI automation and data pipeline development.</p>\n<p>You&#39;ll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you&#39;ll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Core Focus: Integration Development &amp; ERP Support</strong></p>\n<ul>\n<li>Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions</li>\n</ul>\n<ul>\n<li>Support integration development and testing during the ERP implementation projects</li>\n</ul>\n<ul>\n<li>Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication</li>\n</ul>\n<ul>\n<li>Implement real-time and batch integration patterns supporting high-volume financial transactions</li>\n</ul>\n<ul>\n<li>Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity</li>\n</ul>\n<ul>\n<li>Document integration architectures, data flows, API specifications, and troubleshooting procedures</li>\n</ul>\n<ul>\n<li>Collaborate with implementation consulting partners and vendors on technical integration requirements</li>\n</ul>\n<p><strong>Additional Scope: AI Automation &amp; Data Infrastructure</strong></p>\n<ul>\n<li>Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting</li>\n</ul>\n<ul>\n<li>Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes</li>\n</ul>\n<ul>\n<li>Create automated validation and quality assurance processes for AI-generated outputs</li>\n</ul>\n<ul>\n<li>Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions</li>\n</ul>\n<ul>\n<li>Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation</li>\n</ul>\n<ul>\n<li>Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting</li>\n</ul>\n<ul>\n<li>Implement data quality checks and testing frameworks for financial data pipelines</li>\n</ul>\n<ul>\n<li>Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring</li>\n</ul>\n<ul>\n<li>Support executive dashboards and financial analytics by ensuring timely, accurate data delivery</li>\n</ul>\n<p><strong>Governance &amp; Collaboration</strong></p>\n<ul>\n<li>Maintain comprehensive documentation for integrations, AI agents, and data pipelines</li>\n</ul>\n<ul>\n<li>Support internal and external audits with technical evidence and system access reviews</li>\n</ul>\n<ul>\n<li>Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests</li>\n</ul>\n<ul>\n<li>Partner with Finance Operations, Accounting, FP&amp;A, Engineering, and Data Infrastructure teams to deliver holistic solutions</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of experience in integration development, data engineering, or systems engineering roles</li>\n</ul>\n<ul>\n<li>Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools</li>\n</ul>\n<ul>\n<li>Strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts</li>\n</ul>\n<ul>\n<li>Experience with data pipeline tools including Airflow for orchestration and dbt for transformation</li>\n</ul>\n<ul>\n<li>Working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks</li>\n</ul>\n<ul>\n<li>Understanding of REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures</li>\n</ul>\n<ul>\n<li>Familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills with ability to debug complex integration issues across multiple systems</li>\n</ul>\n<ul>\n<li>Excellent communication skills to collaborate with technical and business stakeholders</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)</li>\n</ul>\n<ul>\n<li>Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing</li>\n</ul>\n<ul>\n<li>Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)</li>\n</ul>\n<ul>\n<li>Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management</li>\n</ul>\n<ul>\n<li>Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts</li>\n</ul>\n<ul>\n<li>Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)</li>\n</ul>\n<ul>\n<li>Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration</li>\n</ul>\n<ul>\n<li>Professional certifications such as Workato, Workday integrations, or relevant technical credentials</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field</li>\n</ul>\n<ul>\n<li>Experience with business 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processes"],"x-skills-preferred":["high-growth technology companies","AI/ML companies","SaaS business models","consumption-based pricing","usage metering platforms","marketplace billing","Workday Financials","Stripe","Salesforce","Zuora RevPro","Zip Procurement","Clearwater treasury systems","Pigment planning tools","Numeric close management","Python/JavaScript","AI/LLM integration","document processing","data extraction","intelligent automation","agentic workflows","Claude models","API","BigQuery/Snowflake/Databricks","professional certifications","Workato","Workday integrations","technical credentials","Computer Science","Information Systems","Accounting","Finance","Engineering","business intelligence","financial reporting tools"],"datePosted":"2026-04-18T15:39:50.764Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, 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Engineering, business intelligence, financial reporting tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":205000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_667defc2-2cd"},"title":"Engineering Manager, People Products","description":"<p><strong>About the Role</strong></p>\n<p>In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions.</p>\n<p>You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build full-stack end-to-end across the People Products portfolio.</li>\n<li>Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes.</li>\n<li>Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.</li>\n<li>Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.</li>\n<li>Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments</li>\n<li>Derive joy from hard work and the act of creation.</li>\n<li>Have shipped LLM-native features or applications.</li>\n<li>Are experienced enough to build big features independently, and make great architectural decisions along the way.</li>\n<li>Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.</li>\n<li>Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.</li>\n<li>Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.</li>\n<li>Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.</li>\n<li>Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.</li>\n<li>Background at an AI-native company or in a product-focused 0-&gt;1 engineering environment.</li>\n<li>Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> 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>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></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, unified team to advance the state of the art in AI. We believe that the best way to do this is to work together, share knowledge, and collaborate on the most important problems.</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_667defc2-2cd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5119478008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000USD","x-skills-required":["Engineering Management","Full-stack development","AI-native workflows","Product and architecture decisions","Cross-functional thinking"],"x-skills-preferred":["MCP (Model Context Protocol)","Claude or LLM integrations in production","HR tech platforms","Greenhouse, Workday, or Rippling"],"datePosted":"2026-03-08T14:00:32.639Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Engineering Management, Full-stack development, AI-native workflows, Product and architecture decisions, Cross-functional thinking, MCP (Model Context Protocol), Claude or LLM integrations in production, HR tech platforms, Greenhouse, Workday, or Rippling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2071bb9c-a0f"},"title":"Software Engineer, Enterprise","description":"<p>We&#39;re looking for a Product Engineer to join as an early member of our new Enterprise team. The consumer story has demonstrated Replit&#39;s magic and now we are seeing use cases emerge in the B2B space that are ripe for innovation and growth. It is a critical area for our success this year and beyond.</p>\n<p>You can be part of the journey to build and scale features that help teams and organizations of any size be more productive with Replit. This is an opportunity to make meaningful impact and shape the culture and processes from the ground up. Working closely with cross-functional teams including product managers, designers, and AI engineers, you&#39;ll craft solutions that enable our customers to build, deploy, and share their applications seamlessly. This role requires both technical expertise and a deep understanding of user needs to deliver features that make an impact.</p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li>Build and own features across the full stack that serve enterprise customers, from backend services to user-facing interfaces</li>\n<li>Design and implement scalable solutions for teams and organizations. This includes enterprise-readiness features like authentication, permissions, security, and compliance, as well as tools that improve team collaboration and drive adoption within an organization</li>\n<li>Work directly with customers to understand their needs and iterate on solutions</li>\n<li>Contribute to technical decisions and architecture for the Enterprise platform</li>\n<li>Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences</li>\n<li>Mentor other engineers and raise the bar for engineering excellence</li>\n<li>Ship quickly and iterate based on customer feedback and usage data</li>\n</ul>\n<p><strong>Required skills and experience:</strong></p>\n<ul>\n<li>Strong full stack engineering skills with experience shipping production code</li>\n<li>Experience building B2B or enterprise software products</li>\n<li>Comfort working across the stack - from databases and APIs to frontend frameworks</li>\n<li>Strong product sense and ability to translate customer needs into technical solutions</li>\n<li>Experience with modern web technologies (React, Node.js, TypeScript, or similar)</li>\n<li>Track record of shipping high-impact features and taking ownership of projects</li>\n<li>Excellent communication skills and ability to collaborate with cross-functional teams</li>\n<li>Curiosity and willingness to learn new technologies and domains</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience with enterprise authentication and authorization systems (SSO, SAML, SCIM)</li>\n<li>Experience with AI/LLM integration in applications</li>\n<li>Understanding of developer tools, internal tools, and workflows</li>\n<li>Previous experience in a high-growth startup environment</li>\n<li>Contributions to open-source projects</li>\n</ul>\n<p><strong>Tools + Tech Stack for this role:</strong></p>\n<ul>\n<li>React, TypeScript, CSS, GraphQL, Node.js, and Postgres</li>\n</ul>\n<p><strong>This role may not be a fit if:</strong></p>\n<ul>\n<li>You prefer working exclusively on backend systems without user interaction</li>\n<li>You&#39;re uncomfortable with the pace and changing priorities of a startup environment</li>\n<li>You require highly structured requirements and aren&#39;t comfortable with ambiguity</li>\n</ul>\n<p>_This is a full-time role that is held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._</p>\n<p><strong>Full-Time Employee Benefits Include:</strong></p>\n<ul>\n<li>Competitive Salary &amp; Equity</li>\n<li>401(k) Program with a 4% match</li>\n<li>Health, Dental, Vision and Life Insurance</li>\n<li>Short Term and Long Term Disability</li>\n<li>Paid Parental, Medical, Caregiver Leave</li>\n<li>Commuter Benefits</li>\n<li>Monthly Wellness Stipend</li>\n<li>Autonomous Work Environment</li>\n<li>In Office Set-Up Reimbursement</li>\n<li>Flexible Time Off (FTO) + Holidays</li>\n<li>Quarterly Team Gatherings</li>\n<li>In Office Amenities</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_2071bb9c-a0f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/b7f12834-78d2-424d-bf83-0c942815fbf7","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$180K - $250K","x-skills-required":["strong full stack engineering skills","experience building B2B or enterprise software products","comfort working across the stack","strong product sense","experience with modern web technologies"],"x-skills-preferred":["experience with enterprise authentication and authorization systems","experience with AI/LLM integration in applications","understanding of developer tools, internal tools, and workflows"],"datePosted":"2026-03-07T15:18:48.150Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"strong full stack engineering skills, experience building B2B or enterprise software products, comfort working across the stack, strong product sense, experience with modern web technologies, experience with enterprise authentication and authorization systems, experience with AI/LLM integration in applications, understanding of developer tools, internal tools, and workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":250000,"unitText":"YEAR"}}}]}