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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_51b134bc-ee4"},"title":"Staff+ Software Engineer, Full-stack","description":"<p><strong>About the role\\nAnthropic&#39;s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products.\\n\\nYou&#39;ll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.\\n\\nWe’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.\\n\\n## Responsibilities\\nDeveloper Experience:\\n\\nYou&#39;ll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications.\\n\\nOur mission is to meet developers where they are and bring them closer to the ceiling of what&#39;s possible with our models and API.\\n\\nThat means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude&#39;s capabilities, and accelerating the path to agentic development by designing for both human and AI developers.\\n\\nYou&#39;ll work closely with teams across the Platform org to turn Claude&#39;s newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.\\n\\nBeneficial Deployments:\\n\\nBeneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programs.\\n\\nWe&#39;re looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn&#39;t afford this capacity any other way.\\n\\nEnterprise AI Products:\\n\\nYou&#39;ll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows.\\n\\nOn this team you will systematically understand why Enterprise users aren&#39;t activating, what&#39;s blocking adoption, and building the capabilities to close those gaps.\\n\\nSome of our focuses are:\\n\\n- Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.\\n\\n- Context , enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company&#39;s people, documents, and workflows.\\n\\nA connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.\\n\\n- Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use.\\n\\nMoving from &quot;Claude answers when asked&quot; to &quot;Claude notices what you need&quot;.\\n\\nVertical AI Products:\\n\\nPurpose-built experiences for specific industries where Claude can transform complex professional work.\\n\\nWe&#39;re currently building for three verticals, with more to come:\\n\\n- Financial Services , analysts and bankers building models, memos, and decks under deadline.\\n\\nWe&#39;re building retrieval, analysis, and document generation that holds up to executive review.\\n\\n- Healthcare , clinical documentation, prior auth, and care coordination.\\n\\nWork where accuracy isn&#39;t a feature, it&#39;s the whole product , and where compliance is part of the engineering.\\n\\n- Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it&#39;s wrong.\\n\\nEnterprise Foundations:\\n\\nYou&#39;ll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it&#39;s being used.\\n\\nThis is the work that turns &quot;we love the demo&quot; into a signed enterprise deal.\\n\\nThe role is part product, part platform.\\n\\nYou&#39;ll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.\\n\\nGrowth:\\n\\nDrive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations.\\n\\nAt Anthropic, we&#39;re not just building AI tools; we&#39;re reimagining how AI can enhance and expand its user base!\\n\\nAs a member of the growth team, you will have a unique opportunity to shape our growth strategy.\\n\\nYou will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.\\n\\n## Requirements\\n\\n- Have 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level\\n\\n- Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack\\n\\n- Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)\\n\\n- Take a product-focused approach to building solutions that are robust, scalable, and easy to use\\n\\n- Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1\\n\\n- Care deeply in investing in the mentorship and growth of your peers\\n\\n- Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority\\n\\n- Have experience establishing engineering standards, component architectures, and development best practices\\n\\n- Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products\\n\\n## Nice to Have\\n\\n- Experience with React and frontend frameworks\\n\\n- Experience with REST APIs\\n\\n- Hands-on experience with LLMs, prompt engineering, or building AI-native product features , and an intuition for where models are reliable vs. where they need guardrails\\n\\n- Experience building developer-facing products, APIs, or tooling, with a feel for what good developer experience looks like\\n\\n- Prior work on growth, activation, or experimentation , A/B testing, funnel analysis, and a data-driven approach to product iteration\\n\\n- Domain depth in a regulated or mission-critical context: enterprise, healthcare, legal, financial services, or accessibility-focused products where quality and compliance constraints are real</strong></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_51b134bc-ee4","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/5174747008","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["full-stack engineering","React","Typescript","modern frontend and backend development","complex, consumer or B2B user-facing products","product-focused approach","engineering standards","component architectures","development best practices"],"x-skills-preferred":["LLMs","prompt engineering","AI-native product features","developer-facing products","APIs","tooling","growth","activation","experimentation","A/B testing","funnel analysis","data-driven approach","regulated or mission-critical context"],"datePosted":"2026-04-18T15:55:14.425Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack engineering, React, Typescript, modern frontend and backend development, complex, consumer or B2B user-facing products, product-focused approach, engineering standards, component architectures, development best practices, LLMs, prompt engineering, AI-native product features, developer-facing products, APIs, tooling, growth, activation, experimentation, A/B testing, funnel analysis, data-driven approach, regulated or mission-critical context"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a8dfaa3-f2f"},"title":"Staff+ Software Engineer, Full-stack","description":"<p><strong>About the role</strong></p>\n<p>Anthropic&#39;s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You&#39;ll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.</p>\n<p>You&#39;ll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.</p>\n<p>We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they&#39;ll have the greatest impact and growth potential.</p>\n<p><strong>Developer Experience</strong></p>\n<p>You&#39;ll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what&#39;s possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude&#39;s capabilities, and accelerating the path to agentic development by designing for both human and AI developers.</p>\n<p>You&#39;ll work closely with teams across the Platform org to turn Claude&#39;s newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.</p>\n<p><strong>Beneficial Deployments</strong></p>\n<p>Beneficial Deployments Engineering brings Claude to organisations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programs.</p>\n<p><strong>Enterprise AI Products</strong></p>\n<p>You&#39;ll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren&#39;t activating, what&#39;s blocking adoption, and building the capabilities to close those gaps.</p>\n<p>Some of our focuses are:</p>\n<ul>\n<li>Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.</li>\n</ul>\n<ul>\n<li>Context , enterprise knowledge, organisational memory, and the retrieval layer that makes Claude genuinely aware of a company&#39;s people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.</li>\n</ul>\n<ul>\n<li>Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from &#39;Claude answers when asked&#39; to &#39;Claude notices what you need&#39;.</li>\n</ul>\n<p><strong>Vertical AI Products</strong></p>\n<p>Purpose-built experiences for specific industries where Claude can transform complex professional work. We&#39;re currently building for three verticals, with more to come:</p>\n<ul>\n<li>Financial Services , analysts and bankers building models, memos, and decks under deadline. We&#39;re building retrieval, analysis, and document generation that holds up to executive review.</li>\n</ul>\n<ul>\n<li>Healthcare , clinical documentation, prior auth, and care coordination. Work where accuracy isn&#39;t a feature, it&#39;s the whole product , and where compliance is part of the engineering.</li>\n</ul>\n<ul>\n<li>Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it&#39;s wrong.</li>\n</ul>\n<p><strong>Enterprise Foundations</strong></p>\n<p>You&#39;ll build the systems large organisations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it&#39;s being used. This is the work that turns &#39;we love the demo&#39; into a signed enterprise deal. The role is part product, part platform. You&#39;ll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.</p>\n<p><strong>Growth</strong></p>\n<p>Drive user acquisition, engagement, retention, and monetisation through data-driven strategies and technical implementations. At Anthropic, we&#39;re not just building AI tools; we&#39;re reimagining how AI can enhance and expand its user base!</p>\n<p>As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimise growth initiatives that scale our AI-powered tools and maximise their impact.</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_3a8dfaa3-f2f","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/5174747008","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["full-stack fundamentals","modern frontend and backend development","React","Typescript","LLMs","prompt engineering","developer-facing products","APIs","tooling","growth","activation","experimentation","A/B testing","funnel analysis","data-driven approach"],"x-skills-preferred":["domain depth in a regulated or mission-critical context","enterprise","healthcare","legal","financial services","accessibility-focused products"],"datePosted":"2026-04-18T15:55:04.352Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack fundamentals, modern frontend and backend development, React, Typescript, LLMs, prompt engineering, developer-facing products, APIs, tooling, growth, activation, experimentation, A/B testing, funnel analysis, data-driven approach, domain depth in a regulated or mission-critical context, enterprise, healthcare, legal, financial services, accessibility-focused products"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_06f8fa30-38f"},"title":"Senior Product Manager, Growth","description":"<p>Our mission is to bring web3 to a billion people by providing builders with the tools they need to build exceptional onchain products.</p>\n<p>We&#39;re looking for a Growth PM who can own the next chapter of how Alchemy grows. This is a high-impact, high-autonomy role at the intersection of product, engineering, and go-to-market , and the surface area is expanding fast.</p>\n<p>You&#39;ll bring structure to ambiguity, move fast, and build something that compounds. You&#39;ll have full end-to-end ownership of the growth motion , strategy, experimentation, and the number. You&#39;ll have a direct line to leadership, high visibility across the org, and the resources to move fast and make a real dent.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the full growth funnel , set the strategy, define the metrics, and drive acquisition, activation, retention, and expansion across our developer platform</li>\n<li>Identify and build the compounding loops that turn great developer experience into organic growth , referrals, word of mouth, community, virality</li>\n<li>Deeply instrument the product to understand where developers convert, where they drop off, and what moves the needle</li>\n<li>Run a high-velocity experimentation program , rapid A/B tests, sharp hypotheses, and a relentless focus on finding what works</li>\n<li>Unlock new growth channels: SEO, lifecycle, partnerships, PLG motions , and figure out which bets compound fastest at our scale</li>\n<li>Open up an entirely new growth surface: AI agents are becoming first-class users of developer platforms, and nobody has cracked how to acquire, activate, and retain them yet</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4+ years in product, 2–3+ with true end-to-end ownership of growth , you&#39;ve moved a metric that mattered and can show your work</li>\n<li>Deep growth craft , funnel analysis, cohort modeling, experimentation design, channel strategy. You think in loops, not campaigns</li>\n<li>Experience with developer-facing or API-first products , Web2 (Stripe, Twilio, Vercel) or Web3, fluency in either translates</li>\n<li>Analytical and decisive , you build models fast, pressure-test assumptions, and act on signal</li>\n<li>Strong enough to align engineering, marketing, and sales around a growth motion without direct authority</li>\n</ul>\n<p>Benefits and Perks:</p>\n<ul>\n<li>Medical, Dental, &amp; Vision</li>\n<li>Gym Reimbursement</li>\n<li>Home Office Build-out Budget</li>\n<li>In-Office Group Meals</li>\n<li>Wellbeing &amp; Mental Health Perks</li>\n<li>Learning &amp; Development Stipend</li>\n<li>Company Sponsored Conferences &amp; Events</li>\n<li>HSA and FSA Plans</li>\n<li>Fertility Benefits</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_06f8fa30-38f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Alchemy","sameAs":"https://www.alchemy.com/","logo":"https://logos.yubhub.co/alchemy.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/alchemy/jobs/4678597005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 - $220,000 annually","x-skills-required":["growth craft","funnel analysis","cohort modeling","experimentation design","channel strategy","developer-facing products","API-first products","Web2","Web3"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:43:59.936Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States, San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"growth craft, funnel analysis, cohort modeling, experimentation design, channel strategy, developer-facing products, API-first products, Web2, Web3","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8db20763-21b"},"title":"AI Product Owner - Operations","description":"<p>The Role</p>\n<p>Belong is building the Residential Operating System: a fully integrated, AI-powered platform that manages homes, coordinates thousands of real-world service moments, and creates authentic belonging experiences for homeowners and residents. The member journey is the product. But the Residential OS only delivers on that promise if the operational machinery running beneath it is intelligent, instrumented, and self-improving.</p>\n<p>Most companies say they are AI-first. At Belong, it means something specific: by the end of 2025, the majority of communications across sales, leasing, homecare, and concierge functions are AI-generated. Human Advisors and Concierges handle trust-critical moments. AI agents handle everything else: triage, scheduling, status updates, escalation routing, vendor coordination, documentation.</p>\n<p>The operations product surface is where that architecture lives or dies. As Product Owner, Operations, your job is to design, deploy, and relentlessly improve the AI-powered system that runs the homeowner and resident journey from inspection through occupancy. You are not writing requirements for a future that engineers will build someday. You are shipping agent-driven workflows today, measuring their quality and deflection rates next week, and iterating the week after.</p>\n<p>This role is for someone who understands that the frontier of operations is not better dashboards. It is autonomous systems that perform with the judgment of your best operator, at infinite scale, at the moment the member needs it.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>AI agent architecture across the operational journey. Every operational phase, from home preparation, move-in orchestration, homecare and maintenance, to Pro coordination and vendor scheduling, has a human workflow today and an AI-assisted target state. You will define that target state phase by phase: what the agent handles autonomously, what triggers human review, what escalates immediately.</p>\n</li>\n<li><p>The agent-human handoff model. The Member Journey Brief is explicit: humans are deployed at trust-critical moments. AI handles orchestration, speed, and precision behind the scenes. You are the person who defines exactly where that line sits, and who moves it systematically as agent quality improves.</p>\n</li>\n<li><p>LLM-powered communication workflows. Belong&#39;s target is 80% AI-generated communications across operational functions by Q3. You will own the product layer that makes this real for operations: the prompt architecture, context retrieval pipelines, output quality review systems, and the feedback loops that improve generation quality over time.</p>\n</li>\n<li><p>Foundation as the AI control panel. Foundation is where Belong&#39;s operational teams live. Every tool your squad ships into Foundation is either creating leverage for humans or replacing manual work with agent-driven automation. You will define the roadmap for Foundation&#39;s evolution from task management system to AI control panel: where agents surface for review, where exceptions queue for human action, where quality scores and deflection rates are visible in real time.</p>\n</li>\n<li><p>Operational instrumentation and model feedback. AI systems degrade without structured feedback. You will build the instrumentation that captures ground truth: CSAT signals, escalation rates, rework rates, SLA breach patterns, and member sentiment. You will design the feedback loops that push this signal back into model evaluation and prompt improvement.</p>\n</li>\n</ul>\n<p>The AI Stack You Will Work With</p>\n<ul>\n<li>LLM-based communication generation with context injection from CRM and operational state</li>\n<li>Agentic scheduling and coordination workflows (Homecare triage, Pro dispatch, vendor coordination)</li>\n<li>Automated escalation routing based on signal classification</li>\n<li>Quality scoring and anomaly detection on agent outputs</li>\n<li>Retrieval-augmented generation for Concierge and Homecare agent context</li>\n</ul>\n<p>What Success Looks Like</p>\n<ul>\n<li>90 days: Every operational phase has a documented AI target state with defined autonomous scope, human escalation thresholds, and instrumentation in place.</li>\n<li>6 months: AI-assisted workflows have measurably reduced manual communication volume across at least 2 operational functions with no CSAT degradation.</li>\n<li>Year 1: The majority of routine operational communications in your product surface are AI-generated. Human operators are handling exceptions, escalations, and trust-critical moments, nothing else.</li>\n</ul>\n<p>Example KPIs You Will Be Held To</p>\n<ul>\n<li>AI deflection rate vs. manual handling baseline, by operational function</li>\n<li>CSAT from homeowners and residents at each operational phase (the constraint: deflection gains cannot come at CSAT cost)</li>\n<li>SLA compliance rates for homecare and Pro services</li>\n<li>Time-to-list (inspection to live listing)</li>\n<li>Move-in readiness rate and failed move-in rate</li>\n<li>Human escalation rate as a quality signal on agent confidence calibration</li>\n</ul>\n<p>Who You Are</p>\n<ul>\n<li>AI systems thinker. You do not think about AI features. You think about AI systems: input context, output quality, fallback behavior, quality measurement, and continuous improvement loops.</li>\n<li>Operationally grounded. You have worked in environments where things break in the real world, with real vendors, real homes, real members, and you understand that an agent operating without the right context is more dangerous than no agent at all.</li>\n<li>Outcome obsessed. You hold deflection rate and CSAT simultaneously. You do not celebrate automation that degrades experience.</li>\n<li>Technically fluent. You can write a SQL query, read a vector similarity result, reason about retrieval quality, and understand the tradeoffs in a prompt engineering decision.</li>\n<li>Cross-functional driver. Operations, Homecare, Leasing, Vendor Ops, and Engineering all touch your surface. You run the rituals, translate across languages, and hold the delivery cadence.</li>\n</ul>\n<p>What You Bring</p>\n<ul>\n<li>3 to 5 years of product experience, with at least 1 to 2 years directly building or operating AI-powered products in a production environment</li>\n<li>Hands-on experience with LLM integrations, prompt engineering, RAG pipelines, or agentic workflow design</li>\n<li>Demonstrated ownership of operational tooling or service orchestration products in a marketplace, logistics, or operations-intensive environment</li>\n<li>Proficiency with data: SQL, funnel analysis, and the ability to detect when a metric is being gamed or misread</li>\n<li>Experience with AI evaluation frameworks and output quality measurement is a strong advantage</li>\n<li>Prior work in consumer real estate, hospitality, or residential services is a plus</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_8db20763-21b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Belong","sameAs":"https://www.belong.com/","logo":"https://logos.yubhub.co/belong.com.png"},"x-apply-url":"https://jobs.lever.co/belong/12878464-3397-4603-91fd-a4645ee06afe","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI systems thinking","LLM-powered workflows","Agentic scheduling and coordination workflows","Automated escalation routing","Quality scoring and anomaly detection","Retrieval-augmented generation","SQL","Funnel analysis","Data analysis","Prompt engineering","RAG pipelines","Agentic workflow design","Operational tooling","Service orchestration","Consumer real estate","Hospitality","Residential services"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:27:01.211Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI systems thinking, LLM-powered workflows, Agentic scheduling and coordination workflows, Automated escalation routing, Quality scoring and anomaly detection, Retrieval-augmented generation, SQL, Funnel analysis, Data analysis, Prompt engineering, RAG pipelines, Agentic workflow design, Operational tooling, Service orchestration, Consumer real estate, Hospitality, Residential services"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_24cebdc4-3af"},"title":"Monetization Product Marketing Manager, Advertising","description":"<p><strong>Monetization Product Marketing Manager, Advertising</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Marketing</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$284K – $415K</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></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 mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.</p>\n<p>We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.</p>\n<p><strong>About the role</strong></p>\n<p>We’re looking for a Monetization Product Marketer, Advertising to help shape and scale our advertising products and go-to-market strategy. You’ll combine strategy, market and customer insight with strong product intuition to guide roadmap priorities, mitigate product risks, and deliver launches and coordinate go-to-markets that drive adoption and measurable business impact. This role is ideal for someone who thrives in ambiguity, enjoys turning complex technical capabilities into clear customer value, and can lead cross-functional work in a fast-moving environment.</p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li>Lead market assessment and customer discovery to identify advertiser needs, market trends, and competitive dynamics</li>\n</ul>\n<ul>\n<li>Translate insights into clear product requirements, positioning, and go-to-market plans in close partnership with Product and Engineering</li>\n</ul>\n<ul>\n<li>Partner with Design, Data Science, and Analytics to define success metrics, measurement strategy, and experimentation plans</li>\n</ul>\n<ul>\n<li>Identify product risk areas (e.g., performance, safety, policy, trust) and drive cross-functional plans to mitigate them</li>\n</ul>\n<ul>\n<li>Own launch strategy and execution for new and improved advertising products, including messaging, enablement, and rollouts</li>\n</ul>\n<ul>\n<li>Build narratives and materials that explain value simply (e.g., positioning, sales decks, one-pagers, FAQs, internal comms)</li>\n</ul>\n<ul>\n<li>Lead the go-to-market strategy and coordination to drive product adoptions and sales in coordination with Sales, Partnerships and Product (Including client communications, product documentation, and positioning)</li>\n</ul>\n<ul>\n<li>Coordinate across stakeholders to keep workstreams aligned, remove blockers, and deliver outcomes on time</li>\n</ul>\n<ul>\n<li>Continuously evaluate and improve existing experiences to drive retention, performance, and advertiser satisfaction</li>\n</ul>\n<p><strong>You might be a great fit if you…</strong></p>\n<ul>\n<li>Have strong structured problem solving skills - taking ambiguous problems, breaking them down into answerable parts and then designing and managing a process to answer these questions and driving implementation</li>\n</ul>\n<ul>\n<li>Can connect advertiser needs to product strategy, and influence prioritization across Product/Engineering/Design</li>\n</ul>\n<ul>\n<li>Understand the advertising ecosystem: measurement, targeting/relevance, creative, auctions, and performance tradeoffs</li>\n</ul>\n<ul>\n<li>Have experience marketing products—especially advertising, marketing tech, platforms, or data/AI products</li>\n</ul>\n<ul>\n<li>Communicate clearly and persuasively—turning technical concepts into crisp customer value and differentiated positioning</li>\n</ul>\n<ul>\n<li>Are fluent in both qualitative and quantitative research (customer interviews, surveys, funnel analysis, experimentation)</li>\n</ul>\n<ul>\n<li>Thrive in fast-paced, ambiguous environments and can manage multiple concurrent projects with strong judgment</li>\n</ul>\n<ul>\n<li>Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of artificial intelligence while also ensuring that AI is developed in a way that is safe and beneficial to society.</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_24cebdc4-3af","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/dcce3eec-5d2e-48fb-beff-ab1c24bc3469","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$284K – $415K","x-skills-required":["structured problem solving","market assessment","customer discovery","product requirements","positioning","go-to-market plans","data science","analytics","success metrics","measurement strategy","experimentation plans","product risk areas","cross-functional plans","launch strategy","execution","messaging","enablement","rollouts","narratives","materials","value proposition","client communications","product documentation","positioning","stakeholder coordination","workstream alignment","blocker removal","outcome delivery","retention","performance","advertiser satisfaction"],"x-skills-preferred":["advertising ecosystem","measurement","targeting","relevance","creative","auctions","performance tradeoffs","marketing tech","platforms","data/AI products","qualitative research","quantitative research","customer interviews","surveys","funnel analysis","experimentation"],"datePosted":"2026-03-06T18:43:02.862Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"structured problem solving, market assessment, customer discovery, product requirements, positioning, go-to-market plans, data science, analytics, success metrics, measurement strategy, experimentation plans, product risk areas, cross-functional plans, launch strategy, execution, messaging, enablement, rollouts, narratives, materials, value proposition, client communications, product documentation, positioning, stakeholder coordination, workstream alignment, blocker removal, outcome delivery, retention, performance, advertiser satisfaction, advertising ecosystem, measurement, targeting, relevance, creative, auctions, performance tradeoffs, marketing tech, platforms, data/AI products, qualitative research, quantitative research, customer interviews, surveys, funnel analysis, experimentation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":284000,"maxValue":415000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f7c3a63e-aaa"},"title":"Product Marketing Lead, Privacy","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Product Marketing Lead, Privacy</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Marketing</p>\n<p><strong>Compensation</strong></p>\n<p>$284K – $415K</p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></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>More details about our benefits are available to candidates during the hiring process.</p>\n<p><strong>About the team</strong></p>\n<p>OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.</p>\n<p>We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.</p>\n<p><strong>About the role</strong></p>\n<p>We’re looking for a Privacy Product Marketer to drive company-wide privacy narratives, strategy, and execution across our entire product portfolio. You’ll combine strong judgment with customer empathy and cross-functional leadership to translate privacy principles, user needs, and regulatory expectations into clear product requirements, crisp messaging, and scalable go-to-market readiness. This role is ideal for someone who thrives in ambiguity, enjoys influencing and aligning organizations and is energized by partnering deeply across teams to deliver trustworthy products.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead discovery to understand user expectations, enterprise requirements, and market dynamics related to privacy, trust, and data stewardship</li>\n<li>Translate privacy insights into clear product requirements and programs in close partnership with Product, Engineering, Legal, and Privacy/Policy stakeholders</li>\n<li>Partner with Design, Data Science, and Analytics to define success metrics for privacy experiences (e.g., comprehension, control adoption, incident reduction, support burden) and create measurement plans</li>\n<li>Identify privacy risk areas across the product lifecycle (data collection, retention, training use, access controls, sharing, third parties) and drive cross-functional mitigation plans</li>\n<li>Build clear, durable narratives and materials that explain privacy choices simply (e.g., product messaging, help center content, FAQs, internal enablement, exec-ready updates)</li>\n<li>Coordinate readiness across teams (Product, Legal, Comms, Support, Sales) so launches are accurate, consistent, and scalable</li>\n<li>Develop and maintain a privacy positioning framework across products—what we do, why it matters, and how we differentiate—while staying grounded in real product capabilities</li>\n<li>Continuously evaluate and improve existing privacy experiences to increase clarity, trust, and user adoption of controls</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have strong structured problem-solving skills—taking ambiguous privacy/trust problems, breaking them into answerable parts, and driving execution through to implementation</li>\n<li>Can connect user expectations and regulatory/partner requirements to product strategy, influencing prioritization across Product/Engineering/Design</li>\n<li>Have experience with privacy-adjacent domains (privacy UX, trust &amp; safety, security, data governance, compliance, or responsible AI) and enjoy navigating complexity</li>\n<li>Communicate clearly and persuasively—turning nuanced policy/technical concepts into crisp user value and straightforward guidance</li>\n<li>Are fluent in qualitative and quantitative approaches (user research, surveys, funnel analysis, experimentation, support signals) and can turn insights into decisions</li>\n<li>Thrive in fast-paced, high-ambiguity environments and can manage multiple cross-company workstreams with strong judgment</li>\n<li>Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority</li>\n<li>Care deeply about building products that users can understand, control, and trust</li>\n</ul>\n<p><strong>Experience Level</strong></p>\n<p>Mid</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Workplace Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Category</strong></p>\n<p>Marketing</p>\n<p><strong>Industry</strong></p>\n<p>Technology</p>\n<p><strong>Salary Range</strong></p>\n<p>$284K – $415K</p>\n<p><strong>Required Skills</strong></p>\n<ul>\n<li>Privacy UX</li>\n<li>Trust &amp; safety</li>\n<li>Security</li>\n<li>Data governance</li>\n<li>Compliance</li>\n<li>Responsible AI</li>\n<li>User research</li>\n<li>Surveys</li>\n<li>Funnel analysis</li>\n<li>Experimentation</li>\n<li>Support signals</li>\n<li>Cross-functional leadership</li>\n<li>Strong judgment</li>\n<li>Customer empathy</li>\n<li>Data-driven approach</li>\n<li>Product strategy</li>\n<li>Messaging</li>\n<li>Scalable go-to-market readiness</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Product management</li>\n<li>Engineering</li>\n<li>Design</li>\n<li>Data science</li>\n<li>Analytics</li>\n<li>Marketing</li>\n<li>Sales</li>\n<li>Partnerships</li>\n<li>Research</li>\n<li>Comms</li>\n<li>Legal</li>\n<li>Policy</li>\n<li>Privacy</li>\n<li>Trust</li>\n<li>Safety</li>\n<li>Security</li>\n<li>Data governance</li>\n<li>Compliance</li>\n<li>Responsible AI</li>\n<li>User research</li>\n<li>Surveys</li>\n<li>Funnel analysis</li>\n<li>Experimentation</li>\n<li>Support signals</li>\n<li>Cross-functional leadership</li>\n<li>Strong judgment</li>\n<li>Customer empathy</li>\n<li>Data-driven approach</li>\n<li>Product strategy</li>\n<li>Messaging</li>\n<li>Scalable go-to-market readiness</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_f7c3a63e-aaa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/1e87291e-5322-461d-ae29-5a4945066315","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$284K – $415K","x-skills-required":["privacy UX","trust & safety","security","data governance","compliance","responsible AI","user research","surveys","funnel analysis","experimentation","support signals","cross-functional leadership","strong judgment","customer empathy","data-driven approach","product strategy","messaging","scalable go-to-market readiness"],"x-skills-preferred":["product management","engineering","design","data science","analytics","marketing","sales","partnerships","research","comms","legal","policy","privacy","trust","safety","security","data governance","compliance","responsible AI","user research","surveys","funnel analysis","experimentation","support signals","cross-functional leadership","strong judgment","customer empathy","data-driven approach","product strategy","messaging","scalable go-to-market readiness"],"datePosted":"2026-03-06T18:41:49.526Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"marketing","industry":"technology","skills":"privacy UX, trust & safety, security, data governance, compliance, responsible AI, user research, surveys, funnel analysis, experimentation, support signals, cross-functional leadership, strong judgment, customer empathy, data-driven approach, product strategy, messaging, scalable go-to-market readiness, product management, engineering, design, data science, analytics, marketing, sales, partnerships, research, comms, legal, policy, privacy, trust, safety, security, data governance, compliance, responsible AI, user research, surveys, funnel analysis, experimentation, support signals, cross-functional leadership, strong judgment, customer empathy, data-driven approach, product strategy, messaging, scalable go-to-market readiness","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":284000,"maxValue":415000,"unitText":"YEAR"}}}]}