{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/codex"},"x-facet":{"type":"skill","slug":"codex","display":"Codex","count":27},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b12d10a4-9a6"},"title":"Full Stack Software Engineer, Applied AI","description":"<p>About Wonderschool</p>\n<p>Wonderschool is a software company that helps small business owners earn more money. They started with childcare providers because it is a large, underserved market where technology can have an outsized impact on revenue. But the model scales: they are building a platform and a playbook that will expand into other verticals.</p>\n<p>The Vision</p>\n<p>The North Star for this role is a system where a user signal automatically triggers a chain of AI agents that writes the product requirements, designs the solution, builds the code, reviews it, and ships it. No human in the loop for the routine stuff. Humans define what matters, train the agents, and review edge cases.</p>\n<p>What You Will Do</p>\n<p>Own the AI Development Loop</p>\n<p>Review and iterate on AI-generated code and feed that review back as training signal to make the agents better over time Architect the codebase for AI legibility: clean data models, strong documentation, deprecation of legacy patterns that cause agents to fail Build and maintain the automated product pipeline: signal detection, agent-generated requirements, AI-driven development, AI code review, commit When agents break in production, you own the diagnosis and fix</p>\n<p>Enable the Business, Not Just the Product</p>\n<p>Build tools and workflow infrastructure that let operations, sales, and customer success teams operate the platform themselves, without filing engineering tickets Translate what internal teams need into automated, reliable systems Help non-engineers understand what is possible and then make it happen</p>\n<p>Ship Full-Stack Product</p>\n<p>Build features across the frontend and backend: React/TypeScript on the front, Node.js or Elixir on the back, Postgres underneath Own the full lifecycle from requirements to production Debug issues across the entire stack</p>\n<p>Stay Close to What Is Live</p>\n<p>Actively observe the production environment: usage patterns, agent failures, edge cases, provider behavior This role requires a high degree of personal accountability for system health. When things are running well, that is because you have built the monitoring and alerting to catch problems early. Getting there takes commitment.</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_b12d10a4-9a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Wonderschool","sameAs":"https://www.wonderschool.com/","logo":"https://logos.yubhub.co/wonderschool.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/wonderschool/jobs/7712631003","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,000+","x-skills-required":["AI coding agents","Claude Code","OpenClaw","Codex","Cursor","React/TypeScript","Node.js","Elixir","Postgres"],"x-skills-preferred":["Experience building or operating agentic workflows in production","Experience designing feedback loops that improve AI output quality over time","Background at a startup or high-growth company","Experience with CI/CD, DevOps, or cloud infrastructure","Experience with REST or GraphQL API design"],"datePosted":"2026-04-24T17:03:46.757Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI coding agents, Claude Code, OpenClaw, Codex, Cursor, React/TypeScript, Node.js, Elixir, Postgres, Experience building or operating agentic workflows in production, Experience designing feedback loops that improve AI output quality over time, Background at a startup or high-growth company, Experience with CI/CD, DevOps, or cloud infrastructure, Experience with REST or GraphQL API design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":140000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_292571b3-0f2"},"title":"Staff Product Manager, Growth","description":"<p><strong>About Flexport</strong></p>\n<p>At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it.</p>\n<p><strong>The Opportunity</strong></p>\n<p>We’re looking for a Staff Product Manager, Growth to own Flexport’s website, self-serve experience, and the critical intersection between marketing and product that turns visitor traffic into a qualified pipeline.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Website as a Growth Product</strong></p>\n<ul>\n<li>Own Flexport.com as Flexport’s highest-leverage growth channel to define the product vision, roadmap, and KPIs for the marketing website.</li>\n<li>Drive SEO and AEO strategy, information architecture, and content performance to increase organic traffic and domain authority.</li>\n<li>Lead conversion rate optimization across landing pages, product pages, and CTAs through structured experimentation (A/B tests, multivariate tests, holdout groups).</li>\n<li>Partner with Design, Product, and Engineering to ship high-impact web experiences that reduce friction and move visitors toward signup and qualification.</li>\n</ul>\n<p><strong>Self-Serve Flow &amp; Product-Led Growth</strong></p>\n<ul>\n<li>Own the end-to-end self-serve funnel from first visit through signup, onboarding, activation, and handoff to Sales.</li>\n<li>Define and instrument key growth metrics (visitor-to-signup, signup-to-activation, activation-to-MQL, MQL-to-SQL) and build dashboards that make funnel health visible across the organization.</li>\n<li>Identify and activate product-led growth levers: trial flows, in-platform conversion moments, guided onboarding, and expansion signals.</li>\n<li>Develop experimentation frameworks to test and scale PLG motions, balancing self-serve efficiency with enterprise sales readiness.</li>\n</ul>\n<p><strong>Marketing and Product Bridge</strong></p>\n<ul>\n<li>Serve as the primary product partner between the Marketing team translating campaign objectives into product requirements and vice versa.</li>\n<li>Collaborate with Marketing and Sales Ops on lead scoring models, nurture logic, and segmentation strategies to ensure product signals feed into accurate lead qualification.</li>\n<li>Align product releases and platform capabilities with go-to-market motions so that new features translate into pipeline.</li>\n<li>Work with Sales to define what constitutes a high-quality lead and build product experiences that deliver them consistently.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Product management experience, with significant depth in growth, conversion, or product-led growth at a high-growth B2B technology company.</li>\n<li>Strong preference for former tech founders or early-stage operators who have owned the full end-to-end go-to-market for a B2B product from building the website to closing the first customers.</li>\n<li>Proven track record of driving measurable improvements in web traffic, signup conversion, activation rates, or pipeline generation.</li>\n<li>Deep understanding of enterprise B2B buying motions - complex, long sales cycles, buying committees, and what it takes to generate leads that Sales actually wants to work.</li>\n<li>Experience in logistics, supply chain, or enterprise SaaS is a strong plus.</li>\n<li>A power user of AI in your product workflow; you actively use tools like Claude Code, Codex, OpenClaw, or similar to accelerate prototyping, analysis, and experimentation.</li>\n<li>Bonus if you’ve used vibe coding or low-code AI tools to build landing pages, internal tools, or automations yourself.</li>\n<li>Fluent in web analytics, attribution modeling, and experimentation tooling (e.g. Google Analytics, Amplitude, Optimizely, LaunchDarkly).</li>\n<li>Comfortable writing SQL and building dashboards.</li>\n<li>Experience with marketing automation and CRM systems (Salesforce, HubSpot, Marketo) and a working understanding of how product signals feed lead scoring and sales workflows.</li>\n<li>Strong product craft , you write clear PRDs, define sharp success metrics, and ship iteratively.</li>\n<li>Excellent cross-functional communication.</li>\n<li>A bias toward action and experimentation - you ship fast, learn fast, and iterate.</li>\n<li>You’re energized by ambiguity and thrive when you can move from zero to one.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this position is $200,000-$230,000 USD 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_292571b3-0f2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Flexport","sameAs":"https://www.flexport.com/","logo":"https://logos.yubhub.co/flexport.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/flexport/jobs/7849059","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$200,000-$230,000 USD per year","x-skills-required":["product management","growth","conversion","product-led growth","AI","web analytics","attribution modeling","experimentation tooling","SQL","marketing automation","CRM systems"],"x-skills-preferred":["Claude Code","Codex","OpenClaw","vibe coding","low-code AI tools"],"datePosted":"2026-04-24T15:19:42.564Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, growth, conversion, product-led growth, AI, web analytics, attribution modeling, experimentation tooling, SQL, marketing automation, CRM systems, Claude Code, Codex, OpenClaw, vibe coding, low-code AI tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1cada45b-153"},"title":"AI Support Engineer, Government - Washington, D.C.","description":"<p>Job Title: AI Support Engineer, Government - Washington, D.C.</p>\n<p>Compensation</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<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\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<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\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<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>About the Team</p>\n<p>OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers&#39; product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI&#39;s customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.</p>\n<p>About the Role</p>\n<p>We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Support public sector customers, including U.S. Government agencies and teams operating under FedRAMP requirements, by troubleshooting complex issues and translating security and compliance needs into clear next steps.</li>\n<li>Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.</li>\n<li>Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.</li>\n<li>Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.</li>\n<li>Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.</li>\n<li>Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.</li>\n<li>Orchestrate agentic improvements to our operations that will level-up our entire team.</li>\n<li>Foster a supportive and productive work culture within the User Operations team.</li>\n<li>Provide support coverage in on call shifts and during holidays and weekends based on business needs.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.</li>\n<li>Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.</li>\n<li>Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.</li>\n<li>Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.</li>\n<li>Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.</li>\n<li>Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.</li>\n<li>Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.</li>\n<li>Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you&#39;re missing to make both your team and our customers succeed.</li>\n<li>Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.</li>\n</ul>\n<p>Preferred</p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.</li>\n</ul>\n<p>About OpenAI</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</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_1cada45b-153","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/b505a83d-68c1-46cc-a754-5deacb3c6e3c","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$162K – $234K","x-skills-required":["AI","Support","Engineering","User Operations","Technical Support","Troubleshooting","Scripting","Emerging Technologies","Python","SaaS","Customer Service","Communication","Problem Solving","Critical Thinking","Ambiguity","Change Management","Learning","Growth Mindset","Relationship Building","Humility","Teamwork"],"x-skills-preferred":["Codex","ChatGPT","OpenAI API","Java","C++","Machine Learning","Data Analysis","Cloud Computing","DevOps","Agile Methodologies"],"datePosted":"2026-04-24T12:21:34.330Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Support, Engineering, User Operations, Technical Support, Troubleshooting, Scripting, Emerging Technologies, Python, SaaS, Customer Service, Communication, Problem Solving, Critical Thinking, Ambiguity, Change Management, Learning, Growth Mindset, Relationship Building, Humility, Teamwork, Codex, ChatGPT, OpenAI API, Java, C++, Machine Learning, Data Analysis, Cloud Computing, DevOps, Agile Methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":162000,"maxValue":234000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e9b3dc5e-e78"},"title":"AI Engineer (Catalyst)","description":"<p><strong>You ship faster than people think is possible. You treat AI tools as a multiplier, not a crutch. You’re early in your career but already building things that make experienced engineers pay attention.</strong></p>\n<p>Apply</p>\n<p>We usually respond within a day</p>\n<p><strong>About Us</strong></p>\n<p>Fifth Dimension is the most prominent AI company in real estate in the world, bringing AI to document-heavy industries. We work with real estate businesses in the US, EU, and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work.</p>\n<p><strong>The Challenge</strong></p>\n<p>It’s 9 AM on a Monday. You’ve already got a couple of AI-generated PRs from the weekend open for review - experiments you kicked off with Claude Code on Friday that ran overnight. By 10:30, the reviews are in and you’re iterating. By lunch, one feature is in staging with tests. After a quick review with a staff engineer who raises an edge case you hadn’t considered, you ship v2 by 3 PM. By the end of day, real customers are using it,and you’re already looking at the eval results to figure out what v3 needs.</p>\n<p><strong>About You</strong></p>\n<p>You’re an AI-first engineer. While others debate whether AI tools are ready, you’ve been shipping with them for months, maybe years. Claude Code and Codex aren’t novelties to you; they’re how you work. You’re outcome-obsessed and customer-obsessed: you don’t just build features, you solve problems for real people and measure whether it actually worked.</p>\n<p><strong>Your Impact</strong></p>\n<p>Reporting to our CTO Chen, you’ll be our first early career AI engineering hire,and that means you’ll help define what AI-first engineering looks like at 5D. You’ll work alongside staff and principal-level engineers who’ll stretch your architectural and domain thinking, while you push the team’s velocity and AI tooling practices forward.</p>\n<p><strong>Day to Day, You Will</strong></p>\n<ul>\n<li>Ship features to production multiple times a day, using Claude Code, Codex, and AI-augmented workflows as your primary development approach</li>\n</ul>\n<ul>\n<li>Own features end-to-end: from understanding the customer problem, through implementation, to deployment and measuring impact</li>\n</ul>\n<ul>\n<li>Build and evolve our AI intelligence platform,from agentic workflows and evaluation infrastructure to the UI/UX that puts AI capabilities in customers’ hands</li>\n</ul>\n<ul>\n<li>Experiment rapidly,prototype approaches, measure results against our evaluation framework, learn from the data, and iterate</li>\n</ul>\n<ul>\n<li>Pair with staff and principal engineers who bring deep domain and architectural expertise, while showing them new ways to leverage AI tooling for speed and quality</li>\n</ul>\n<ul>\n<li>Collaborate closely with Product Managers, Customer Success Managers, and Solutions Engineers to stay rooted in what customers actually need</li>\n</ul>\n<ul>\n<li>Contribute to our engineering culture by sharing what you learn about AI-first development workflows, prompting techniques, and tooling</li>\n</ul>\n<ul>\n<li>Write code that’s clear, tested, and maintainable,speed without quality isn’t speed, it’s debt</li>\n</ul>\n<p><strong>Our Values and Engineering Culture</strong></p>\n<p>At 5D, we embody three core principles: Own it, Ship it, and Don’t be boring.</p>\n<p>Our engineering team values:</p>\n<ul>\n<li>Product-Minded Engineering: Understanding the “why” behind features and using technical expertise to inform product decisions</li>\n</ul>\n<ul>\n<li>Intellectual Honesty: Backing discussions with data and acknowledging knowledge gaps</li>\n</ul>\n<ul>\n<li>Effective Time Management: Setting clear timeboxes and abandoning approaches that aren’t working</li>\n</ul>\n<ul>\n<li>Clear Communication: Writing self-documenting code and providing detailed explanations</li>\n</ul>\n<ul>\n<li>Innovation Mindset: Forming well-reasoned opinions backed by data and continuously learning</li>\n</ul>\n<ul>\n<li>Personal Growth: Supporting your development through challenging work and opportunities to expand your expertise</li>\n</ul>\n<ul>\n<li>Having Fun: We’re building something extraordinary across three of the world’s most exciting cities. We take the work seriously, not ourselves</li>\n</ul>\n<p><strong>What We’re Looking For</strong></p>\n<p>We don’t care about years of experience or specific degrees. We care about what you’ve built, how fast you learn, and how you think. Show us your work.</p>\n<ul>\n<li>Demonstrable experience shipping software,personal projects, open source, freelance, startup, or professional. The context matters less than the output.</li>\n</ul>\n<ul>\n<li>Fluency with AI coding tools (Claude Code, Codex) as part of your daily workflow, not as an occasional novelty</li>\n</ul>\n<ul>\n<li>Strong programming fundamentals, particularly in Python and TypeScript,but we welcome experience in other languages and architectural paradigms too. 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Intellectual curiosity and strong aptitude for prioritisation.</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_6e0788ce-490","directApply":true,"hiringOrganization":{"@type":"Organization","name":"IT Infrastructure","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955422287","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Claude Code","Codex","Cursor","SQL","Python","Qualtrics","SDLC","CI/CD"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:14:37.294Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Claude Code, Codex, Cursor, SQL, Python, Qualtrics, SDLC, CI/CD"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8b447835-74a"},"title":"Senior DataOps Engineer - Revenue Management (all genders)","description":"<p><strong>Your future team</strong></p>\n<p>You&#39;ll be part of our new Dynamic Pricing &amp; Revenue Management team, working alongside a Data Scientist and a Data Analyst. 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You bridge the gap between data science models and reliable, scalable production systems.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Support model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.</li>\n<li>Build and operate production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.</li>\n<li>Collaborate cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.</li>\n<li>Own infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.</li>\n<li>Ensure operational excellence by implementing monitoring, automated testing, and observability across the team&#39;s production systems.</li>\n<li>Migrate and productionize POC: turn experimental code into robust, maintainable Python applications.</li>\n<li>Ensure data quality, consistency, and documentation across revenue management metrics and datasets.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.</li>\n<li>Learning: Grow professionally in a culture that thrives on curiosity and feedback.</li>\n<li>Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other.</li>\n<li>Technology: Work in a modern tech environment.</li>\n<li>Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.</li>\n<li>Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized.</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.</li>\n<li>Strong hands-on skills in Python , you write clean, production-quality code.</li>\n<li>Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).</li>\n<li>Familiarity with cloud platforms (AWS preferred) and deploying services in production.</li>\n<li>Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.</li>\n<li>Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team&#39;s productivity.</li>\n<li>A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.</li>\n</ul>\n<p><strong>How to apply</strong></p>\n<p>If you&#39;re excited about this opportunity, please submit your application on our careers page!</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_8b447835-74a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2597559","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","CI/CD","Docker","Terraform","Cloud platforms (AWS preferred)","ML model deployment (MLflow, SageMaker, or similar)"],"x-skills-preferred":["AI tools like Claude, Copilot, and Codex","Data Storage & Querying (S3, Redshift, Athena, DuckDB)","ML & Model Serving (MLflow, SageMaker, deployment APIs)","Cloud & DevOps (Terraform, Docker, Jenkins, AWS EKS)","Monitoring (ELK, Grafana, Looker, OpsGenie, in-house tools)","Ingestion (Kafka-based event systems, Airbyte, Fivetran)"],"datePosted":"2026-04-18T22:09:42.352Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, CI/CD, Docker, Terraform, Cloud platforms (AWS preferred), ML model deployment (MLflow, SageMaker, or similar), AI tools like Claude, Copilot, and Codex, Data Storage & Querying (S3, Redshift, Athena, DuckDB), ML & Model Serving (MLflow, SageMaker, deployment APIs), Cloud & DevOps (Terraform, Docker, Jenkins, AWS EKS), Monitoring (ELK, Grafana, Looker, OpsGenie, in-house tools), Ingestion (Kafka-based event systems, Airbyte, Fivetran)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_49f6f494-d42"},"title":"Principal Product Operations Manager, Benefits","description":"<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. With teams in Denver, San Francisco, and New York, we support more than 400,000 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>Are you looking for an opportunity to transform a business? Gusto is looking for a strategic, customer-focused leader to leverage customer feedback and operational key metrics to develop actionable insights and strategies that shape our product and service, and positively impact customer love. Working with the Product, Engineering, Design and Customer Experience teams, you will be expected to tackle both highly strategic and deeply operational initiatives to deliver value for customers and Gusto. You’ll be customer-obsessed, business-minded, strategic, detail-oriented, and highly creative.</p>\n<p>In this role, you&#39;ll help stand up the operational and service foundation for a new Gusto product, using both deep human judgment and emerging AI tools to move faster and make better decisions. If this sounds exciting to you, we’d love to connect!</p>\n<p>The Benefits Product Operations team at Gusto is made up of committed, creative, collaborative people who care deeply about our mission to enable Benefits for all small and mid-sized businesses and their employees. We’re a highly cross-functional team focused on ensuring our product and service are co-designed and co-developed along the product lifecycle to deliver a best in class customer experience; Gusto is listening to, synthesizing and acting on customer and front-line team feedback; and that cross-functional teams are collaborating and swimming together to build the best version of Gusto for our customers.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<p>Shape and support product development and its integration into service strategy for existing customers across the product lifecycle, in collaboration with Engineering, Design, Product Management, and Customer Experience teams.</p>\n<p>Understand our product and end-to-end service experience and organizations in intimate detail, including internal and external pain points and feedback. 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Self-sufficient, resourceful, and bias for action towards continuous improvement.</p>\n<p>Experienced with managing a variety of cross-functional stakeholders on complex strategic initiatives, including influencing senior leaders in Product or Customer Experience orgs.</p>\n<p>Strong data literacy and results-orientation, with the ability to identify the right questions, interpret quantitative and qualitative signals, and translate findings into decisions , including comfort using AI-assisted tools for analysis and synthesis.</p>\n<p>Excellent written and verbal communication skills, with the ability to effectively communicate complex subjects to both technical and non-technical audiences.</p>\n<p>Demonstrated AI fluency in an operational and product context , comfort using AI tools to synthesize qualitative data, identify automation opportunities in service workflows, and building or directing AI agents to reduce manual operational lift:</p>\n<p>Experience prototyping with AI (e.g., Claude, Cursor, Codex or similar) is a plus.</p>\n<p>Experience with service design and/or service blueprinting.</p>\n<p>Experience working in the healthcare or benefits space (PEO, health insurance, etc.) is a plus; candidates with new product incubation experience in any complex regulated space are strongly encouraged to apply.</p>\n<p>Our cash compensation amount for this role is $148,000/yr to $182,000/yr in Denver, and $167,000/yr to $217,000/yr for San Francisco &amp; New York. Final offer amounts are determined by multiple factors including candidate location, 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 it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, 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_49f6f494-d42","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/7325217","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$148,000/yr to $182,000/yr in Denver, and $167,000/yr to $217,000/yr for San Francisco & New York","x-skills-required":["product operations","service strategy","customer feedback","operational key metrics","actionable insights","strategic planning","business acumen","data analysis","problem-solving","communication","AI fluency","service design","service blueprinting","healthcare","benefits space"],"x-skills-preferred":["prototyping with AI","cursor","codex"],"datePosted":"2026-04-18T15:57:46.642Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver, CO; San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Finance","skills":"product operations, service strategy, customer feedback, operational key metrics, actionable insights, strategic planning, business acumen, data analysis, problem-solving, communication, AI fluency, service design, service blueprinting, healthcare, benefits space, prototyping with AI, cursor, codex","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":148000,"maxValue":217000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8871a994-591"},"title":"Machine Learning Engineer, Core Engineering","description":"<p>We&#39;re seeking a talented Machine Learning Engineer to join our Core Engineering team. 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You will partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces, while gaining knowledge of how ML works in different areas.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li>\n<li>Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas</li>\n<li>Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval</li>\n<li>Work in a high-impact environment with quick experimentation and product launches</li>\n<li>Keep up with industry trends in recommendation systems</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)</li>\n<li>End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)</li>\n<li>Degree in computer science, machine learning, statistics, or related field</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>M.S. or PhD in Machine Learning or related areas</li>\n<li>Publications at top ML conferences</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n<li>Expertise in scalable real-time systems that process stream data</li>\n<li>Passion for applied ML and the Pinterest product</li>\n</ul>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</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_8871a994-591","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/6121450","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$138,905-$285,982 USD","x-skills-required":["machine learning","deep learning","data processing pipelines","large-scale machine learning systems","big data technologies","Hadoop","Spark","natural language processing","reinforcement learning","graph representation learning"],"x-skills-preferred":["Cursor","Copilot","Codex","LLM-powered productivity tools","scalable real-time systems","stream data"],"datePosted":"2026-04-18T15:57:30.186Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, data processing pipelines, large-scale machine learning systems, big data technologies, Hadoop, Spark, natural language processing, reinforcement learning, graph representation learning, Cursor, Copilot, Codex, LLM-powered productivity tools, scalable real-time systems, stream data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":138905,"maxValue":285982,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b5a4347-f37"},"title":"Sr. Machine Learning Engineer, Monetization Engineering","description":"<p>About this role:</p>\n<p>We&#39;re looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li>\n<li>Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)</li>\n<li>Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval</li>\n<li>Working in a high-impact environment with quick experimentation and product launches</li>\n<li>Keeping up with industry trends in recommendation systems</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>2+ years of industry experience applying machine learning methods</li>\n<li>Degree in computer science, statistics, or related field; or equivalent experience</li>\n<li>End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies</li>\n<li>Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>M.S. or PhD in Machine Learning or related areas</li>\n<li>Publications at top ML conferences</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n<li>Expertise in scalable real-time systems that process stream data</li>\n<li>Passion for applied ML and the Pinterest product</li>\n<li>Background in computational advertising</li>\n</ul>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance.</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_0b5a4347-f37","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/6121551","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,721-$332,012 USD","x-skills-required":["Machine Learning","Deep Learning","Data Processing Pipelines","Large-Scale Machine Learning Systems","Big Data Technologies","Recommender Systems","Ads Ranking","Retrieval","Targeting","Marketplace Systems"],"x-skills-preferred":["M.S. or PhD in Machine Learning or related areas","Publications at top ML conferences","Experience using Cursor, Copilot, Codex, or similar AI coding assistants","Familiarity with LLM-powered productivity tools","Expertise in scalable real-time systems","Passion for applied ML and the Pinterest product","Background in computational advertising"],"datePosted":"2026-04-18T15:56:06.423Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Data Processing Pipelines, Large-Scale Machine Learning Systems, Big Data Technologies, Recommender Systems, Ads Ranking, Retrieval, Targeting, Marketplace Systems, M.S. or PhD in Machine Learning or related areas, Publications at top ML conferences, Experience using Cursor, Copilot, Codex, or similar AI coding assistants, Familiarity with LLM-powered productivity tools, Expertise in scalable real-time systems, Passion for applied ML and the Pinterest product, Background in computational advertising","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189721,"maxValue":332012,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_231ce599-c30"},"title":"Staff Machine Learning Engineer, Content Quality Signals","description":"<p>We&#39;re seeking a Staff Machine Learning Engineer to join our Content Understanding team. As a key member of this team, you will lead modeling strategy for content understanding, including architecture selection, training approach, and evaluation methodology. You will design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces. The ideal candidate will have significant industry experience building software and ML pipelines/systems, including technical leadership. They will have strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals. The role requires proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies. The successful candidate will have deep hands-on experience in content understanding domains, such as computer vision, NLP, and multimodal/embedding models. They will also have experience working with large-scale datasets and distributed compute. The ideal candidate will be able to influence across teams and drive ambiguous problem areas to measurable outcomes. They will have strong applied skills in evaluation and experimentation, including defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.</p>\n<p>The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams. The successful candidate will be able to provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.</p>\n<p>In addition to the above responsibilities, the successful candidate will be expected to:</p>\n<ul>\n<li>Collaborate with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).</li>\n<li>Partner with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.</li>\n<li>Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.</li>\n<li>Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.</li>\n</ul>\n<p>Nice to have: experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring; familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.</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_231ce599-c30","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7531060","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$189,308-$389,753 USD","x-skills-required":["Python","PyTorch","TensorFlow","Computer Vision","NLP","Multimodal Embedding Models","Large-Scale Datasets","Distributed Compute"],"x-skills-preferred":["Cursor","Copilot","Codex","LLM-Powered Productivity Tools"],"datePosted":"2026-04-18T15:54:53.925Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, Computer Vision, NLP, Multimodal Embedding Models, Large-Scale Datasets, Distributed Compute, Cursor, Copilot, Codex, LLM-Powered Productivity Tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189308,"maxValue":389753,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8d879dcd-c1f"},"title":"Forward Deployed AI Accelerator, Marketing","description":"<p>As a Forward Deployed AI Accelerator, you will be embedded with a group of approximately 20 marketers organized by functional team, shared workflow, or location. You will build alongside them, and you will help them fundamentally change how they operate.</p>\n<p>Your measure of success is the number of workflows you&#39;ve permanently transformed and the extent to which those in your group start any task with an AI tool.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Identify and document the highest-leverage workflow transformations within your group&#39;s day-to-day work by deeply understanding their processes and outputs</li>\n<li>Build custom tools, agents, automations, and skills tailored to each marketer&#39;s specific responsibilities</li>\n<li>Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency</li>\n<li>Teach marketers to build and iterate on their own tools over time, creating independence</li>\n<li>Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers</li>\n<li>Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other&#39;s work</li>\n<li>Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success</li>\n<li>Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work</li>\n<li>Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows</li>\n</ul>\n<p>Who you are:</p>\n<p>We&#39;re looking for people who have already lived the transformation they&#39;ll be driving for others. You&#39;ve used AI to fundamentally change how you work , not as a novelty, but as your default operating mode.</p>\n<ul>\n<li>You are a deep AI practitioner. You build agents, automations, and tools fluently. You don&#39;t just know what AI can do in theory , you&#39;ve built things that changed how real work gets done. You can build in real time alongside the people you support.</li>\n<li>You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.</li>\n<li>You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone&#39;s work is a prerequisite to transforming it.</li>\n<li>You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.</li>\n<li>You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You&#39;re the kind of person who could succeed in many roles at Stripe.</li>\n<li>You bias toward action and speed. You&#39;d rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what&#39;s theoretically possible next quarter.</li>\n<li>You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.</li>\n</ul>\n<p>Minimum requirements:</p>\n<ul>\n<li>5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration</li>\n<li>Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)</li>\n<li>Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you&#39;ve helped actually changed how they work</li>\n<li>Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners</li>\n<li>Comfort working across multiple workstreams and relationships simultaneously (you&#39;ll be supporting ~20 marketers at varying stages of their AI journey)</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_8d879dcd-c1f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7748114","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI development tools and platforms","Claude","Claude Code","Codex","custom agent frameworks","API integrations","workflow automation tools","deep learning","natural language processing","computer vision","machine learning","data science","statistics","mathematics","programming languages","software development","agile methodologies","scrum","kanban","project management","team leadership","coaching","communication","marketing","growth","operations","change management","organizational transformation","large-scale enablement programs","marketing technology stacks","Marketo","Salesforce","analytics platforms","content management tools"],"x-skills-preferred":["experience in marketing, marketing operations, growth, or a closely adjacent function","proficiency with AI development tools and platforms","experience with change management, organizational transformation, or large-scale enablement programs","familiarity with marketing technology stacks","experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team","background in consulting, solutions engineering, technical account management, or other client-facing technical roles"],"datePosted":"2026-04-18T15:54:07.950Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Sydney"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI development tools and platforms, Claude, Claude Code, Codex, custom agent frameworks, API integrations, workflow automation tools, deep learning, natural language processing, computer vision, machine learning, data science, statistics, mathematics, programming languages, software development, agile methodologies, scrum, kanban, project management, team leadership, coaching, communication, marketing, growth, operations, change management, organizational transformation, large-scale enablement programs, marketing technology stacks, Marketo, Salesforce, analytics platforms, content management tools, experience in marketing, marketing operations, growth, or a closely adjacent function, proficiency with AI development tools and platforms, experience with change management, organizational transformation, or large-scale enablement programs, familiarity with marketing technology stacks, experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team, background in consulting, solutions engineering, technical account management, or other client-facing technical roles"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4cd70b19-bba"},"title":"AI Manager, Compliance Systems","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 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. 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>About the Role</p>\n<p>We are looking for someone to build AI-powered compliance systems from the ground up. This is not a role where you inherit a mature platform and maintain it. You will be designing architecture, deploying agents, and engineering the workflows that make compliance faster and more reliable across the Corporate Compliance team. You will need to be comfortable operating in a regulated environment, making judgment calls about what should run autonomously versus what requires human review, and owning the outcomes end to end. Success looks like measurable improvement in automation rates, decision quality, audit readiness, and team enablement.</p>\n<p>About the Team</p>\n<p>The Corporate Compliance team is responsible for ensuring Gusto meets its regulatory obligations across payroll, payments, financial services, and state licensing. We build and maintain the compliance management system that underpins this work, including the compliance controls, obligation monitoring, exam readiness processes, and product launch reviews that keep the business running within regulatory expectations. We do this cross-functionally, partnering closely with Product, Engineering, Legal, Operations, and Risk.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<ul>\n<li>Design and implement AI-native compliance workflows using tools like Claude Code, Codex, Gumloop, and similar platforms</li>\n</ul>\n<ul>\n<li>Deploy and configure AI agents across compliance use cases, including product reviews, control testing, regulatory change monitoring, licensing workflows, policy governance, and remediation tracking</li>\n</ul>\n<ul>\n<li>Manage and oversee those agents on an ongoing basis, defining clear boundaries between autonomous execution and human review</li>\n</ul>\n<ul>\n<li>Monitor agent outputs, decisions, and workflow execution; own operational metrics like task efficacy, accuracy, and regulatory coverage. Identify and address errors, hallucinations, data drift, or unexpected behavior through root cause analysis</li>\n</ul>\n<ul>\n<li>Own the continuous improvement cycle for agent prompts and decision logic. Conduct root cause assessments, and deploy improvements through structured testing, shadow mode validation, and controlled production rollouts</li>\n</ul>\n<ul>\n<li>Prototype new agentic frameworks, orchestration layers, and retrieval systems; build evaluation frameworks for accuracy, bias, and explainability</li>\n</ul>\n<ul>\n<li>Lead analysis of AI metrics, compliance trends, and risk signals to identify systemic gaps and inform roadmap decisions for tooling and automation. Build dashboards and automated reporting that support audits, exams, and executive visibility</li>\n</ul>\n<ul>\n<li>Serve as the connective tissue between Compliance, Engineering, Product, Legal, Security GRC, and Data and translating regulatory expectations into system logic that ships, while mentoring compliance analysts on AI tool usage, workflow design, and prompt development</li>\n</ul>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>5-7 years building compliance management systems, regulatory program infrastructure, or technical solutions in a regulated environment (payments, fintech, payroll, or compliance-heavy SaaS). You have taken evolving requirements and turned them into durable processes, controls, and operating systems that scale</li>\n</ul>\n<ul>\n<li>Hands-on experience leading AI or automation projects from concept through implementation, including human-in-the-loop workflows</li>\n</ul>\n<ul>\n<li>Comfortable using AI tools (Claude, ChatGPT, Cursor, or similar) for workflow design and debugging; familiar with agent orchestration, prompt engineering, and structured testing</li>\n</ul>\n<ul>\n<li>Strong cross-functional collaboration skills with a proven history working across Product, Engineering, Compliance, and Risk</li>\n</ul>\n<ul>\n<li>Demonstrated good judgment in ambiguous, high-stakes situations. You can make a call when the regulatory picture is not perfectly clear and explain your reasoning to stakeholders who are not compliance experts</li>\n</ul>\n<ul>\n<li>Strong data-driven reasoning skills. You are comfortable owning both operational metrics and using them to drive decisions, not just reporting on what happened, but identifying what to change</li>\n</ul>\n<ul>\n<li>You do not need to be a career compliance professional, but you do need to understand how to operationalize regulatory compliance through scalable compliance management systems</li>\n</ul>\n<p>Our cash compensation amount for this role is $110,640/yr - $136,456/yr in Denver &amp; most major metro locations, and $133,615/yr - $164,792/yr for San Francisco &amp; New York. Final offer amounts are determined by multiple factors including candidate location, 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 it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. 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As a key member of our team, you will be responsible for major areas of search, recommendations, notifications, and more for over 500 million monthly active Pinterest users. 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As a senior iOS engineer, you will tackle the unique technical challenges of building for global markets, including locale-aware UI, market-specific features and integrations, and performance optimization across diverse conditions.</p>\n<p><strong>The Community You Will Join:</strong></p>\n<p>The Global Markets engineering team is focusing on evolving our guest and host experience for global markets through new product initiatives to accelerate international growth. Expanding in under-penetrated global markets is a key pillar of our company&#39;s growth strategy.</p>\n<p><strong>The Difference You Will Make:</strong></p>\n<p>As a senior iOS engineer on the mobile team, you will work on projects spanning the full product surface, from signup/login, search, PDP, checkout, and reviews to foundational components like maps, networking and logging. You will partner closely with PMs, designers, data scientists, and engineers across both our China-based team and Global partner teams to ship features that make millions of users across under-penetrated markets feel right at home.</p>\n<p><strong>A Typical Day:</strong></p>\n<ul>\n<li>Partner with cross-functional teams (PM, Design, DS, QA) and Global engineering teams to translate product requirements into technical solutions and help shape the roadmap</li>\n<li>Write and review technical designs for large, open-ended problems , from market-specific product features to foundational mobile infrastructure</li>\n<li>Write clean, testable, and maintainable Swift code to ship polished, pixel-perfect user experiences</li>\n<li>Mentor and support the career growth of other engineers through pairing, code reviews, and technical guidance</li>\n<li>As the tech lead of a project, drive end-to-end delivery, communicate progress to stakeholders, and own the overall quality across the full release cycle</li>\n</ul>\n<p><strong>Your Expertise:</strong></p>\n<ul>\n<li>5+ years of iOS development experience; proficient in Swift, SwiftUI, UIKit, and Core Animation / Core Graphics</li>\n<li>Proficient in applying AI-powered development tools (e.g., Claude Code, Codex) to accelerate development workflows , from tech design, to code generation, debugging, to code review and documentation</li>\n<li>Strong product sense with a proven ability to build pixel-perfect interfaces and fluid animations</li>\n<li>Proven track record of leading technical initiatives and navigating ambiguous challenges</li>\n<li>Strong cross-team collaboration skills with excellent English communication; experience working in globally distributed teams or building products for diverse markets is a plus</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunity to work with a talented team of engineers and product managers</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Professional development opportunities</li>\n</ul>\n<p><strong>How to Apply:</strong></p>\n<p>If you&#39;re passionate about building innovative mobile experiences and have a strong background in iOS development, please submit your application, including your resume and a cover letter outlining your experience and qualifications.</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_a13ffbdb-21b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7817040","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["iOS development","Swift","SwiftUI","UIKit","Core Animation","Core Graphics","AI-powered development tools","Claude Code","Codex"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:45:57.961Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"China"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"iOS development, Swift, SwiftUI, UIKit, Core Animation, Core Graphics, AI-powered development tools, Claude Code, Codex"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_22596c5b-465"},"title":"Forward Deployed Data Engineer","description":"<p>We&#39;re looking for a Forward Deployed Data Engineer to join our team. As a Forward Deployed Data Engineer, you will be responsible for defining how our Forward Deployed Engineering function operates, including how engagements run, what the deliverables are, how the playbook works, what scales and what doesn&#39;t.</p>\n<p>You will embed directly with our strategic accounts, large enterprises with complex data needs, often in financial services, insurance, and other regulated industries. You will work alongside their teams to understand their go-to-market challenges, then design and deliver bespoke intelligence applications that combine our third-party data with the customer&#39;s first-party data to drive real business outcomes.</p>\n<p>You will own the engagement end-to-end: from discovery through deployment, from executive presentation through production code. You will work closely with our data and product teams to bring the full breadth of our data foundation to bear , company intelligence, contact data, buying signals, intent data, and specialized vertical datasets , assembled into purpose-built applications tailored to each customer&#39;s specific personas and workflows.</p>\n<p>You will have access to incredible data, powerful infrastructure, and our most important customer relationships. What you build with them , and how you build it , will define the model going forward.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build the FDE Playbook</li>\n<li>Document what works: onboarding sequences, deployment patterns, integration frameworks, success metrics</li>\n<li>Feed field learnings back to product, engineering, and data teams to inform product direction and dataset priorities</li>\n<li>Own Strategic Customer Engagements End-to-End</li>\n<li>Serve as the primary technical point of contact for assigned strategic accounts</li>\n<li>Run discovery sessions, scope use cases, design solutions, build applications, and deploy them in the customer&#39;s environment</li>\n<li>You own the outcome , not just the delivery</li>\n<li>Deliver Custom Intelligence Applications</li>\n<li>Build bespoke &#39;single pane of glass&#39; applications that unify our data with the customer&#39;s proprietary data</li>\n<li>These are purpose-built for specific personas and workflows , not configured off-the-shelf products</li>\n<li>Bridge Technical and Business Audiences</li>\n<li>Sit with the sales team</li>\n<li>Present to executive leadership</li>\n<li>Synthesize complex go-to-market data needs into clear, actionable proposals , then deliver the solution</li>\n<li>You&#39;re equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CRO</li>\n<li>Drive Stickiness and Expansion</li>\n<li>Every application you build makes our data more deeply embedded in the customer&#39;s daily workflows</li>\n<li>Identify expansion opportunities as they emerge , new use cases, new personas, new datasets</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>High Ownership, High Ambiguity Tolerance</li>\n<li>This role doesn&#39;t exist yet at ZoomInfo. You take ownership of outcomes , not tasks , and you&#39;re comfortable making judgment calls with incomplete information, building process where there is none, and figuring things out as you go</li>\n<li>Strong Software Engineering Fundamentals</li>\n<li>You write production-quality code</li>\n<li>You&#39;re proficient in Python, SQL, and modern web frameworks</li>\n<li>You&#39;re comfortable with APIs, data pipelines, cloud platforms (AWS, GCP, or Azure), and building applications that real users depend on daily</li>\n<li>Familiarity with API tooling , GraphQL, REST, Postman, authentication patterns (JWT, OAuth) , is a plus; deep expertise isn&#39;t required, but you should be comfortable navigating and integrating against APIs quickly</li>\n<li>You work fluently in LLM-based development environments like Claude Code or Codex , these are core tools in how we build, not a nice-to-have</li>\n<li>Customer-Facing Communication</li>\n<li>You&#39;ve worked directly with customers in a technical capacity , solutions engineering, consulting, technical account management, or a previous FDE role</li>\n<li>You can synthesize complex data needs for an executive audience and discuss architecture with an engineering team in the same meeting</li>\n<li>You&#39;re comfortable navigating enterprise environments with competing stakeholders and priorities</li>\n<li>Go-to-Market Data Familiarity (Preferred)</li>\n<li>Experience working with B2B data, CRM systems, sales/marketing tech stacks, or similar go-to-market infrastructure</li>\n<li>You understand what it means to operationalize data in a revenue context</li>\n</ul>\n<p>Why This Role</p>\n<ul>\n<li>The mandate is clear. 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ZoomInfo&#39;s data foundation, GTM Data Store, query infrastructure, and vertical dataset catalog give you the raw materials to build custom intelligence applications that aren&#39;t possible anywhere else</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_22596c5b-465","directApply":true,"hiringOrganization":{"@type":"Organization","name":"ZoomInfo","sameAs":"https://www.zoominfo.com/","logo":"https://logos.yubhub.co/zoominfo.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/zoominfo/jobs/8498600002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$171,500-$269,500 USD","x-skills-required":["Python","SQL","Modern web frameworks","APIs","Data pipelines","Cloud platforms (AWS, GCP, or Azure)","LLM-based development environments (Claude Code or Codex)"],"x-skills-preferred":["GraphQL","REST","Postman","Authentication patterns (JWT, OAuth)","B2B data","CRM systems","Sales/marketing tech stacks"],"datePosted":"2026-04-18T15:43:09.819Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern web frameworks, APIs, Data pipelines, Cloud platforms (AWS, GCP, or Azure), LLM-based development environments (Claude Code or Codex), GraphQL, REST, Postman, Authentication patterns (JWT, OAuth), B2B data, CRM systems, Sales/marketing tech stacks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":171500,"maxValue":269500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_de40a217-518"},"title":"AI Support Engineer - San Francisco (Weekend Shift)","description":"<p><strong>Compensation</strong></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<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>OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers&#39; product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI&#39;s customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.</p>\n<p>If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team</p>\n<p>We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>You’ll be responsible for:</strong></p>\n<ul>\n<li>Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.</li>\n</ul>\n<ul>\n<li>Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.</li>\n</ul>\n<ul>\n<li>Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.</li>\n</ul>\n<ul>\n<li>Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.</li>\n</ul>\n<ul>\n<li>Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.</li>\n</ul>\n<ul>\n<li>Orchestrate agentic improvements to our operations that will level-up our entire team.</li>\n</ul>\n<ul>\n<li>Foster a supportive and productive work culture within the User Operations team.</li>\n</ul>\n<ul>\n<li>Provide support coverage in on call shifts and during holidays and weekends based on business needs.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.</li>\n</ul>\n<ul>\n<li>Are comfortable using emerging technologies (ie. 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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. 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We specialize in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.</p>\n<p><strong>About the Role</strong></p>\n<p>The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use.</p>\n<p>This role blends deep technical fluency, instructional design, and customer advisory. 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You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.</p>\n<p>If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team</p>\n<p>This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 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Our focus is helping teams move quickly while improving on performance or reliability.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>We’re hiring Staff+ engineers with a variety of iOS platform backgrounds, including people who may specialize in performance, build/CI, or AI developer productivity. 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