{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/systems-thinking"},"x-facet":{"type":"skill","slug":"systems-thinking","display":"Systems Thinking","count":43},"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_87a911fc-2f4"},"title":"Senior Software Engineer, AI - Simulation","description":"<p>Join us at Brex, the intelligent finance platform that enables companies to spend smarter and move faster. Our AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most.</p>\n<p>As a Senior Software Engineer, AI - Simulation, you will own Brex&#39;s simulation and validation platform for AI-powered products. Your mandate is simple and unforgiving: ensure that every AI surface at Brex is continuously scrutinized under extreme, realistic conditions , and that teams can ship with confidence because of it.</p>\n<p>You&#39;ll build a system that uses synthetic data and scenario generation as a recursive self-improvement loop. Product teams will rely on it to catch regressions before customers do, to validate new capabilities safely, and to evolve prompts and agent behavior continuously. This platform will run against isolated, ephemeral environments that mirror production closely enough to matter.</p>\n<p>This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week , Monday, Wednesday, and Thursday.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Evolve and scale a simulation and validation platform to continuously stress-test Brex’s AI products using large-scale synthetic data.</li>\n<li>Develop evaluation mechanisms to detect regressions, edge cases, and failure modes in non-deterministic systems prior to customer impact.</li>\n<li>Run continuous testing in isolated, production-like environments and set quality gates, including authority to block launches when standards are not met.</li>\n<li>Partner closely with product engineering teams to improve system testability, isolation, and overall robustness.</li>\n<li>Define and uphold company-wide standards for AI feature quality, using simulation-driven insights to guide prompt and system evolution, while driving the technical bar for a small, high-impact team.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience building and owning complex software systems where correctness, reliability, and failure modes are critical.</li>\n<li>Experience designing test, simulation, or validation systems for non-deterministic or high-stakes environments.</li>\n<li>Strong systems thinking, with the ability to decompose complex problems and reduce incidental complexity.</li>\n<li>Demonstrated ability to influence product architecture through quality, reliability, and launch-readiness constraints.</li>\n<li>Comfort operating with real authority and cross-team influence, including blocking launches and partnering across seniority levels to raise the quality bar.</li>\n</ul>\n<p>Bonus points:</p>\n<ul>\n<li>Previous experience on simulation or testing of inherently complex systems (AI/ML, distributed systems, robotics, IoT, medical devices, aerospace, defense, etc.).</li>\n<li>Experience building internal platforms that became critical shared infrastructure.</li>\n<li>Strong intuition for failure modes in real-world systems.</li>\n</ul>\n<p>Compensation: The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</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_87a911fc-2f4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8442498002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$192,000 - $240,000","x-skills-required":["complex software systems","test, simulation, or validation systems","systems thinking","product architecture","cross-team influence"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:42.195Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"complex software systems, test, simulation, or validation systems, systems thinking, product architecture, cross-team influence","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fe04c8cc-782"},"title":"Forward Deployed Engineering Manager","description":"<p>Shape the Future of AI</p>\n<p>At Labelbox, we&#39;re building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<p>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</p>\n<p>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</p>\n<p>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</p>\n<p>Why Join Us</p>\n<p>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You&#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</p>\n<p>Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</p>\n<p>Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</p>\n<p>Continuous Growth: Every role requires continuous learning and evolution. You&#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.</p>\n<p>Clear Ownership: You&#39;ll know exactly what you&#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</p>\n<p>The role</p>\n<p>We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.</p>\n<p>You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.</p>\n<p>What You’ll Do</p>\n<p>Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality</p>\n<p>Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities</p>\n<p>Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction</p>\n<p>Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)</p>\n<p>Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring</p>\n<p>Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements</p>\n<p>Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly</p>\n<p>Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions</p>\n<p>What We’re Looking For</p>\n<p>5+ years of software engineering experience (Python)</p>\n<p>2+ years of experience managing or leading engineers in fast-paced environments</p>\n<p>Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)</p>\n<p>Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)</p>\n<p>Background in infrastructure, developer tooling, or distributed systems</p>\n<p>Strong debugging skills and systems thinking across layered, containerized environments</p>\n<p>Ability to operate in ambiguity and translate loosely defined problems into clear execution plans</p>\n<p>Excellent communication and stakeholder management skills</p>\n<p>Preferred</p>\n<p>Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)</p>\n<p>Familiarity with cloud infrastructure (GCP or AWS)</p>\n<p>Prior experience in AI/ML platforms, data companies, or research environments</p>\n<p>Contributions to open-source projects in RL, agents, or developer tooling</p>\n<p>Why This Role Matters</p>\n<p>RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.</p>\n<p>In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.</p>\n<p>About Alignerr</p>\n<p>Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.</p>\n<p>Life at Labelbox</p>\n<p>Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</p>\n<p>Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility</p>\n<p>Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</p>\n<p>Growth: Career advancement opportunities directly tied to your impact</p>\n<p>Vision: Be part of building the foundation for humanity&#39;s most transformative technology</p>\n<p>Our Vision</p>\n<p>We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.</p>\n<p>Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.</p>\n<p>Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.</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_fe04c8cc-782","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Labelbox","sameAs":"https://www.labelbox.com/","logo":"https://logos.yubhub.co/labelbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/labelbox/jobs/5101195007","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$220,000 USD","x-skills-required":["Software engineering experience (Python)","Containerization and sandboxing (Docker, Firecracker, or similar)","Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)","Infrastructure, developer tooling, or distributed systems","Debugging skills and systems thinking"],"x-skills-preferred":["Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)","Familiarity with cloud infrastructure (GCP or AWS)","Prior experience in AI/ML platforms, data companies, or research environments","Contributions to open-source projects in RL, agents, or developer tooling"],"datePosted":"2026-04-18T15:56:05.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering experience (Python), Containerization and sandboxing (Docker, Firecracker, or similar), Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces), Infrastructure, developer tooling, or distributed systems, Debugging skills and systems thinking, Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench), Familiarity with cloud infrastructure (GCP or AWS), Prior experience in AI/ML platforms, data companies, or research environments, Contributions to open-source projects in RL, agents, or developer tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3c13f93e-7f3"},"title":"Forward Deployed Product Manager, AI Agent","description":"<p>Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it&#39;s at Cresta.</p>\n<p>As a Forward Deployed Product Manager, AI Agent, you will create, deploy and optimize AI Agents that transform our customers&#39; businesses and delight their customers. This highly cross-functional and customer-facing role blends product thinking, a nose for value, and project leadership with senior customer executives.</p>\n<p>At the end of the day, you own each AI Agent and the outcomes they drive for our customers, and you take that personally. You are a creative, pragmatic problem solver who thrives in fast-paced environments, rolls up your sleeves to build, and excels at turning ambiguity into execution.</p>\n<p>In this role, you’ll partner with Forward Deployed Engineers (FDEs) who will support the build, integrations and optimization to make the AI Agent product successful. You’ll also work closely with product and engineering, providing a tight feedback loop and custom tooling that will shape the future of our platform.</p>\n<p>What You’ll Do:</p>\n<ul>\n<li>Own AI Agent outcomes for our customers , defining and delivering on the metrics that move the needle. This includes finding additional automation opportunities that can provide even more value!</li>\n</ul>\n<ul>\n<li>Own the deployment lifecycle for AI Agents , from pre-sale scoping and kickoff to launch and post-go-live optimization</li>\n</ul>\n<ul>\n<li>Design, build, test and iterate on AI agents in partnership with FDEs using Cresta’s internal tools and the latest technologies to deliver the highest customer ROI</li>\n</ul>\n<ul>\n<li>Lead customer relationships and act as the primary point of contact for AI Agent. Help prospects and customers move faster to ensure we can deliver quickly and effectively.</li>\n</ul>\n<ul>\n<li>Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria while gathering feedback to improve the AI agent platform</li>\n</ul>\n<ul>\n<li>Work closely with FDEs to ensure smooth implementation, build new capabilities as needed and provide feedback and improvements to our broader platform</li>\n</ul>\n<ul>\n<li>Improve our playbooks for agent development and customer deployment</li>\n</ul>\n<p>What We’re Looking For:</p>\n<ul>\n<li>5+ years of experience in Technology Consulting, Implementations, Product, or Customer Success roles, ideally working closely with AI or LLM first products</li>\n</ul>\n<ul>\n<li>Hands-on work style – curiosity with a bias for action. You anticipate needs and bottlenecks and deliver with urgency and care.</li>\n</ul>\n<ul>\n<li>Experience leading complex deployments, owning customer relationships (including senior customer stakeholders), and working cross-functionally</li>\n</ul>\n<ul>\n<li>Strong technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!)</li>\n</ul>\n<ul>\n<li>Comfortable working with ambiguity and learning quickly in a dynamic startup environment</li>\n</ul>\n<ul>\n<li>Passion for AI, automation, and shaping the future of customer experience</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Background in product management, conversation design or forward deployed engineering roles</li>\n</ul>\n<ul>\n<li>Experience in a startup or high-growth SaaS environment</li>\n</ul>\n<ul>\n<li>Familiarity with customer support and contact center operations</li>\n</ul>\n<p>Perks &amp; Benefits:</p>\n<p>We offer a comprehensive and people-first benefits package to support you at work and in life:</p>\n<ul>\n<li>Comprehensive medical, dental, and vision coverage with plans to fit you and your family</li>\n</ul>\n<ul>\n<li>Flexible PTO to take the time you need, when you need it</li>\n</ul>\n<ul>\n<li>Paid parental leave for all new parents welcoming a new child</li>\n</ul>\n<ul>\n<li>Retirement savings plan to help you plan for the future</li>\n</ul>\n<ul>\n<li>Remote work setup budget to help you create a productive home office</li>\n</ul>\n<ul>\n<li>Monthly wellness and communication stipend to keep you connected and balanced</li>\n</ul>\n<ul>\n<li>In-office meal program and commuter benefits provided for onsite employees</li>\n</ul>\n<p>Compensation at Cresta</p>\n<p>Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. 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As a key member of our product team, you will be responsible for defining and delivering a world-class, seamless merchant experience across the entire journey, from self-serve onboarding and platform configurations to transparent billing and effortless payments.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Define the multi-year roadmap for the Merchant Experience Platform, encompassing onboarding, integrations, configuration, billing, and payments.</li>\n<li>Own the experience flow from a merchant&#39;s first interaction, through system configuration and data setup, to their ongoing financial transactions and reporting.</li>\n<li>Drive the strategy for seamlessly integrating with external merchant technologies, including ERP systems (like NetSuite) and e-commerce platforms, ensuring robust data exchange and workflow integrity.</li>\n<li>Drive the strategy and execution for automated payment solutions, revenue recognition, and reliable financial reporting.</li>\n<li>Partner with Engineering, Finance, Operations, and Sales to ensure a friction-less merchant journey and accurate financial outcomes.</li>\n<li>Act as a subject matter expert who coaches and mentors Senior and IC PMs on complex systems thinking, financial modeling, and platform architecture design.</li>\n</ul>\n<p><strong>Minimum Qualifications</strong></p>\n<ul>\n<li>8+ years in Product Management, preferably within Logistics Tech, SaaS Integrations, Fintech.</li>\n<li>Deep understanding of APIs, ERP integrations, and financial reconciliation workflows.</li>\n<li>Systems thinking and analytical rigor.</li>\n<li>Problem-solving grit and communication skills.</li>\n<li>Demonstrated ability to drive results in complex, regulated industries.</li>\n</ul>\n<p><strong>Why This Challenge Matters</strong></p>\n<p>The Merchant Experience Platform is the gateway to Flexport&#39;s logistics ecosystem. By owning the entire journey,from an effortless onboarding and configuration process to reliable, transparent billing and payments,you are directly impacting Flexport’s bottom line, driving merchant adoption, and removing the friction that holds global trade back.</p>\n<p><strong>What&#39;s in it for you?</strong></p>\n<ul>\n<li>An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a thriving multinational environment</li>\n<li>Competitive salary and equity options</li>\n<li>Daily catered lunches, breakfast, snacks and soft drinks available in our office on daily basis</li>\n<li>Comprehensive health and wellness benefits</li>\n<li>Equity program: every team member becomes a shareholder, aligning our success with yours.</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_0a9f5c94-a92","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/7779606","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["APIs","ERP integrations","financial reconciliation workflows","systems thinking","analytical rigor","problem-solving grit","communication skills"],"x-skills-preferred":["NetSuite","Stripe","high-volume transactional billing systems"],"datePosted":"2026-04-18T15:53:28.731Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Logistics","skills":"APIs, ERP integrations, financial reconciliation workflows, systems thinking, analytical rigor, problem-solving grit, communication skills, NetSuite, Stripe, high-volume transactional billing systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d95e1c7-96f"},"title":"Customer Success Manager, Scaled","description":"<p>We&#39;re looking for a Customer Success Manager, Scaled to pioneer digital-first and one-to-many customer engagements that drive adoption, stickiness, retention, and expansion at scale. 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Develop deep product expertise to guide implementation decisions, advise on safe, impactful adoption of new features, and translate AI capabilities into business value for audiences from developers to executives</li>\n<li>Channel customer voice back to Product and leadership by aggregating insights from digital interactions, surveys, and community engagement to influence roadmap and improve customer experience</li>\n<li>Partner cross-functionally with Marketing on customer campaigns, Sales on handoffs and growth, Product on adoption-driving features, and Customer Success on playbook development and optimization</li>\n<li>Triage and prioritize across a pooled book. Work from a shared queue of engagement requests across a large customer pool. Ramp quickly on unfamiliar accounts, ruthlessly prioritize through a business-impact lens, and maintain quality across high concurrent volume</li>\n<li>&quot;Claudify&quot; customer touch points by designing and implementing AI-powered processes that enhance the customer experience,using Claude to personalize communications, automate repetitive tasks, and deliver proactive insights at scale</li>\n<li>Design and execute one-to-many programs including email campaigns, webinars, office hours, and digital content that educate customers, drive product adoption, and surface expansion opportunities across customer segments</li>\n<li>Develop scalable onboarding and activation programs that ensure customers achieve rapid time-to-value, including digital onboarding sequences, self-service resources, and pooled support models</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>3-5+ years in customer-facing roles such as Customer Success, Customer Marketing, or Account Management or Consulting ,with experience managing a high volume of accounts or building scaled programs</li>\n<li>Experience with digital-first or tech-touch customer engagement: You&#39;ve built or executed one-to-many programs including email campaigns, webinars, customer communities, or automated customer journeys</li>\n<li>Systems thinking and process orientation: You naturally ask &quot;how might we scale this?&quot; and have experience building repeatable playbooks, templates, and frameworks that work across diverse customer types</li>\n<li>Data-driven mindset: You&#39;re comfortable analyzing customer health metrics, product usage data, and program effectiveness to make decisions and optimize approaches</li>\n<li>Technical aptitude and AI enthusiasm: You quickly master complex products, translate technical concepts across audiences, and are genuinely excited about responsible AI&#39;s potential to transform business. You&#39;re committed to helping customers adopt Claude safely and effectively</li>\n<li>Excellent communication skills: You can create compelling written content for customer programs and communicate effectively with stakeholders at all levels</li>\n<li>Comfortable building in ambiguity: This is an evolving motion,you&#39;ll thrive creating structure where none exists, iterating quickly based on learnings, and adapting as the business grows</li>\n</ul>\n<p>Strong candidates may have:</p>\n<ul>\n<li>Familiarity with AI/ML products, developer tools, or API-based products</li>\n<li>Experience in consumption-based or usage-driven business models</li>\n<li>Track record of building customer programs from scratch that drove measurable retention or expansion outcomes</li>\n<li>Experience with Customer Success platforms (Gainsight, Vitally, ChurnZero) and marketing automation tools</li>\n<li>Background in Digital Customer Success, Scaled Success, Customer Education, or Customer Marketing</li>\n</ul>\n<p>The annual compensation range for this role is $200,000-$260,000 USD.</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_5d95e1c7-96f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5174700008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000-$260,000 USD","x-skills-required":["Customer Success","Digital-first customer engagement","Systems thinking","Data-driven mindset","Technical aptitude","AI enthusiasm","Excellent communication skills","Comfortable building in ambiguity"],"x-skills-preferred":["AI/ML products","Developer tools","API-based products","Consumption-based business models","Customer Success platforms","Marketing automation tools"],"datePosted":"2026-04-18T15:53:21.828Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Customer Success, Digital-first customer engagement, Systems thinking, Data-driven mindset, Technical aptitude, AI enthusiasm, Excellent communication skills, Comfortable building in ambiguity, AI/ML products, Developer tools, API-based products, Consumption-based business models, Customer Success platforms, Marketing automation tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":260000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18013f3c-904"},"title":"Cluster Deployment Engineer","description":"<p>As a Cluster Deployment Engineer at Anthropic, you will own how large-scale AI compute clusters physically come together inside our datacenter fleet.</p>\n<p>You will set the deployment-engineering strategy for cluster build-out , how racks are organized into pods, halls, and sites; how compute, network, power, and cooling systems interface at the rack boundary; and how deployment scope flows cleanly from hardware specification to facility delivery to a running cluster.</p>\n<p>This role is focused on deployment engineering, not on datacenter network or systems design , your scope is making sure clusters land cleanly and predictably, not designing the fabrics or facilities themselves.</p>\n<p>You will work across hardware, networking, facilities, supply chain, and construction to ensure that every generation of accelerator we deploy lands in a datacenter that is ready for it , on schedule, at full density, and with every piece of required infrastructure accounted for.</p>\n<p>You will be the person who sees around corners: anticipating how next-generation rack designs will stress our facilities, where our deployment model will break at scale, and what needs to change now so that the next cluster turn-up is faster and more predictable than the last.</p>\n<p>You will operate at the intersection of engineering strategy and execution discipline, partnering with internal research and systems teams, external developers, engineering firms, and OEM partners to deliver cluster capacity at the speed the frontier demands.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own cluster-level deployment strategy , define how AI compute clusters are organized across the floor, how racks interconnect, and how cluster topology requirements translate into facility and deployment scope across a portfolio of sites.</li>\n</ul>\n<ul>\n<li>Set rack interface standards spanning power, network, mechanical, thermal, and spatial domains, and ensure that every deployment includes the complete set of infrastructure required to bring a cluster online.</li>\n</ul>\n<ul>\n<li>Drive multi-threaded cluster bring-up programs across hardware, networking, power, and cooling , owning plans, dependencies, and critical paths from hardware specification through energization and turn-up.</li>\n</ul>\n<ul>\n<li>Partner with internal engineering teams , research, systems, networking, and hardware , to translate cluster requirements into deployable facility scope, and to derisk onboarding of new hardware platforms well ahead of delivery.</li>\n</ul>\n<ul>\n<li>Lead external partner execution with developers, engineering firms, OEMs, and construction teams, driving technical reviews, deviation management, and handoffs that keep deployments on schedule and within specification.</li>\n</ul>\n<ul>\n<li>Improve cluster turn-up reliability and repeatability , identify systemic gaps in deployment scope, tooling, and partner interfaces, and drive durable fixes that reduce time-to-serve for new capacity.</li>\n</ul>\n<ul>\n<li>Define and track deployment KPIs , cluster readiness, schedule adherence, scope completeness, time-to-first-packet , and use historical trends to forecast risk and inform capacity planning.</li>\n</ul>\n<ul>\n<li>Coordinate cross-functional readiness across supply chain, security, operations, and construction to ship production-ready compute capacity.</li>\n</ul>\n<ul>\n<li>Provide crisp executive visibility on deployment progress, tradeoffs, and risks across a portfolio of concurrent cluster programs.</li>\n</ul>\n<ul>\n<li>Design cluster interfaces for durability , define rack and cluster-level interfaces that remain robust across hardware generations, so that facility scope and deployment models do not need to be reinvented every time the underlying hardware changes.</li>\n</ul>\n<ul>\n<li>Build cluster layout and BOM tooling , create and maintain the tools, templates, and data models that turn cluster topology and rack specifications into accurate floor layouts, deployment sequences, and complete bills of materials, replacing one-off spreadsheets with repeatable, auditable workflows.</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 10+ years of experience in hyperscale datacenter environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.</li>\n</ul>\n<ul>\n<li>Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.</li>\n</ul>\n<ul>\n<li>Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.</li>\n</ul>\n<ul>\n<li>Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.</li>\n</ul>\n<ul>\n<li>Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.</li>\n</ul>\n<ul>\n<li>Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.</li>\n</ul>\n<ul>\n<li>Hold a Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.</li>\n</ul>\n<ul>\n<li>Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.</li>\n</ul>\n<ul>\n<li>Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape cluster-level decisions.</li>\n</ul>\n<ul>\n<li>Have partnered closely with hardware and system providers on long-term platform onboarding and bring-up.</li>\n</ul>\n<ul>\n<li>Have experience building the program mechanisms , roadmaps, milestones, risk registers, runbooks , that make delivery predictable at massive scale.</li>\n</ul>\n<p>The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $320,000-$405,000 USD</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_18013f3c-904","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/5191638008","x-work-arrangement":"remote-hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Hyperscale datacenter environments","Cluster deployment","Large-scale IT integration","Infrastructure programs","AI","HPC","High-density compute clusters","Interconnect reach","Adjacency","Power density","Thermal limits","IT hardware","Facility infrastructure","Interface standards","Cluster topology","Portfolio strategy","Execution discipline","Systems thinking","Communication","Technical audiences","Executive audiences","Complex programs","Decisions","Tradeoffs","Leadership","Bachelor's degree","Electrical Engineering","Mechanical Engineering","Computer Engineering","Practical experience"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:42.505Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Hyperscale datacenter environments, Cluster deployment, Large-scale IT integration, Infrastructure programs, AI, HPC, High-density compute clusters, Interconnect reach, Adjacency, Power density, Thermal limits, IT hardware, Facility infrastructure, Interface standards, Cluster topology, Portfolio strategy, Execution discipline, Systems thinking, Communication, Technical audiences, Executive audiences, Complex programs, Decisions, Tradeoffs, Leadership, Bachelor's degree, Electrical Engineering, Mechanical Engineering, Computer Engineering, Practical experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_550052ff-6a5"},"title":"Director of Product, Growth/AI","description":"<p>Why join us</p>\n<p>Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. Our platform combines global corporate cards and banking with intuitive spend management, bill pay, and travel software, enabling founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.</p>\n<p>As a Product Leader at Brex, you will be the driving force behind our Growth Product team , overseeing the thoughtful strategy and execution of team and technical systems to drive customer acquisition and onboarding. You will also collaborate closely with our Go-to-Market (GTM) teams to ensure seamless acquisition and onboarding for customers, particularly those with significant and complex spending needs.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Drive product and systems investments that improve GTM metrics such as CAC payback, pipeline conversion, and efficiency.</li>\n<li>Define and execute a multi-quarter Growth strategy in partnership with Engineering, Design, GTM, Marketing, Ops, and Data to deliver high-impact, scalable products with measurable business impact.</li>\n<li>Embed within Sales, Marketing, and Customer Success to identify workflow bottlenecks and lead automation and optimization initiatives.</li>\n<li>Analyze GTM funnel and conversion metrics to uncover insights and guide product priorities and roadmap decisions.</li>\n<li>Set clear goals, metrics, and success criteria for the Growth team, driving accountability to measurable outcomes.</li>\n<li>Manage and develop a team of Product Managers, fostering clarity, ownership, and a culture of high performance.</li>\n<li>Oversee core Growth Product and Engineering domains, including account scoring, TAM data, outbound automation, and GTM tooling.</li>\n<li>Align stakeholders around an aspirational 6–12 month roadmap that advances GTM efficiency and business growth.</li>\n<li>Ensure successful activation and implementation of customers initiatives by partnering with GTM and Customer Success to operationalize tooling and automations.</li>\n<li>Continuously refine activation based on feedback and performance data to drive faster time-to-value and sustainable adoption.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Relevant experience: 10+ years of experience in product management or management consulting, ideally with direct responsibility for or experience scaling B2B products and GTM systems, with a strong understanding of growth, GTM, and/or marketing pipelines.</li>\n<li>Analytical sense: You demonstrate a strong aptitude for and actively use data to inform your decision-making. Basic SQL proficiency is strongly preferred.</li>\n<li>Communication: You have proven experience working and communicating effectively with senior leaders and executives, and influencing stakeholders across departments and functions, including Engineering, Design, Marketing, Sales, CRMX/Business Systems, IT, Legal, and more. You excel at building trust and working relationships.</li>\n<li>Systems-thinker: You are a systems thinker, capable of thinking holistically across product, technical, and people systems to identify bottlenecks and opportunities for efficiency, automation, fraud prevention, and product growth within the payables ecosystem.</li>\n</ul>\n<p>Compensation</p>\n<p>The expected salary range for this role is $340,000 - $425,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</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_550052ff-6a5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8432707002","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$340,000 - $425,000","x-skills-required":["product management","management consulting","growth","GTM","marketing pipelines","data analysis","SQL","communication","systems thinking"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:31.761Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"product management, management consulting, growth, GTM, marketing pipelines, data analysis, SQL, communication, systems thinking","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":340000,"maxValue":425000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c48bb5d1-98d"},"title":"Director of Product, Growth/AI","description":"<p>Why join us</p>\n<p>Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.</p>\n<p>Tens of thousands of the world&#39;s best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.</p>\n<p>Product at Brex</p>\n<p>The Product team is at the forefront of Brex&#39;s mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams , such as Engineering, Legal, Compliance, and Design , on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.</p>\n<p>What you’ll do</p>\n<p>As a Product Leader at Brex, you will be the driving force behind our Growth Product team , overseeing the thoughtful strategy and execution of team and technical systems to drive customer acquisition and onboarding. You will also collaborate closely with our Go-to-Market (GTM) teams to ensure seamless acquisition and onboarding for customers, particularly those with significant and complex spending needs. You will be instrumental in creating features, models, and tools that empower our GTM and Marketing teams to get maximal leverage out of their efforts. You will work closely with cross-functional teams across the organization, based in San Francisco, New York, Seattle, Vancouver, Brazil, and remote locations. Past examples of work in this domain include AI agents for GTM workflows, developing best-in-class GTM data and enrichment systems, ML models for account prioritization, prospect AI classification systems, and more.</p>\n<p>Where you’ll work</p>\n<p>This role will be based in either our San Francisco, Seattle, or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Drive product and systems investments that improve GTM metrics such as CAC payback, pipeline conversion, and efficiency.</li>\n</ul>\n<ul>\n<li>Define and execute a multi-quarter Growth strategy in partnership with Engineering, Design, GTM, Marketing, Ops, and Data to deliver high-impact, scalable products with measurable business impact.</li>\n</ul>\n<ul>\n<li>Embed within Sales, Marketing, and Customer Success to identify workflow bottlenecks and lead automation and optimization initiatives.</li>\n</ul>\n<ul>\n<li>Analyze GTM funnel and conversion metrics to uncover insights and guide product priorities and roadmap decisions.</li>\n</ul>\n<ul>\n<li>Set clear goals, metrics, and success criteria for the Growth team, driving accountability to measurable outcomes.</li>\n</ul>\n<ul>\n<li>Manage and develop a team of Product Managers, fostering clarity, ownership, and a culture of high performance.</li>\n</ul>\n<ul>\n<li>Oversee core Growth Product and Engineering domains, including account scoring, TAM data, outbound automation, and GTM tooling.</li>\n</ul>\n<ul>\n<li>Align stakeholders around an aspirational 6–12 month roadmap that advances GTM efficiency and business growth.</li>\n</ul>\n<ul>\n<li>Ensure successful activation and implementation of customers initiatives by partnering with GTM and Customer Success to operationalize tooling and automations.</li>\n</ul>\n<ul>\n<li>Continuously refine activation based on feedback and performance data to drive faster time-to-value and sustainable adoption.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Relevant experience: 10+ years of experience in product management or management consulting, ideally with direct responsibility for or experience scaling B2B products and GTM systems, with a strong understanding of growth, GTM, and/or marketing pipelines.</li>\n</ul>\n<ul>\n<li>Analytical sense: You demonstrate a strong aptitude for and actively use data to inform your decision-making. Basic SQL proficiency is strongly preferred.</li>\n</ul>\n<ul>\n<li>Communication: You have proven experience working and communicating effectively with senior leaders and executives, and influencing stakeholders across departments and functions, including Engineering, Design, Marketing, Sales, CRMX/Business Systems, IT, Legal, and more. You excel at building trust and working relationships.</li>\n</ul>\n<ul>\n<li>Systems-thinker: You are a systems thinker, capable of thinking holistically across product, technical, and people systems to identify bottlenecks and opportunities for efficiency, automation, fraud prevention, and product growth within the payables ecosystem.</li>\n</ul>\n<p>Compensation</p>\n<p>The expected salary range for this role is $340,000 - $425,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</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_c48bb5d1-98d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8433470002","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$340,000 - $425,000","x-skills-required":["product management","growth hacking","AI","machine learning","data analysis","SQL","communication","systems thinking"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:27.779Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"product management, growth hacking, AI, machine learning, data analysis, SQL, communication, systems thinking","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":340000,"maxValue":425000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_87673969-491"},"title":"Senior Partner Manager, Singapore","description":"<p>We&#39;re looking for a highly motivated Senior Partner Manager Singapore with a strong background developing new client segments in partnership with Value-Added Reseller, Regional System Integrators and modern Distribution partners. This role is critical to driving our business to new heights through Partnerships.</p>\n<p>The Senior Partner Manager&#39;s responsibility is to develop and drive the execution of business plans with a set of focus partners with initiatives that support accelerated GTM, increased investment and new capabilities and offerings to take to market in the Singapore region. Key to the success in the position is effective collaboration with multiple cross-functional stakeholders, including sales, partner and technical sales, marketing, legal, and operations.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Executive Relationships: Growing trust and influence with senior leadership of our focus partners. Developing joint strategies, commitments, and execution plans, leveraging investments and programs to drive co-sell revenue across the Singapore region.</li>\n</ul>\n<ul>\n<li>Sales Management: Working with internal and external field sales teams to take joint sales plays, programs and industry solutions to specific market segments for execution.</li>\n</ul>\n<ul>\n<li>Market Development: Work with the specified partners&#39; business development, marketing, and solution architects, to craft and promote mutually-beneficial business models, solution offerings and messaging that drive new opportunities in the market.</li>\n</ul>\n<ul>\n<li>Business Cadence: Execute, manage and deliver Singapore pipeline and revenue growth cadence tied to the specified partners&#39; strategies and initiatives.</li>\n</ul>\n<ul>\n<li>Strategy: Help shape and evolve Elastic&#39;s partner strategy, while implementing plans and execution in the Singapore region.</li>\n</ul>\n<ul>\n<li>Partner Ecosystem: Identify, recruit, enable and manage partners (Regional SIs, VARs, Referral Partners, etc.) to support business goals and to execute channel sales strategies. Drive execution in concert with the local ecosystem resources; working in tight collaboration with global and regional partner sales functions leading Cloud, SIs, VARs, OEM, MSPs, Distributors and Technology Partnerships.</li>\n</ul>\n<ul>\n<li>Communication: High-quality, effective and timely internal &amp; external communication to coordinate functions, manage activity execution, resolve conflict, share results, and be a spokesperson for joint value propositions of Elastic&#39;s partner ecosystem, strategy &amp; programs.</li>\n</ul>\n<ul>\n<li>Educate: Ensure partners&#39; stakeholders understand Elastic&#39;s value proposition and how our technology fits into their overall GTM strategy and portfolio.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8 + years in Partner Management roles.</li>\n</ul>\n<ul>\n<li>Extensive external industry network with 8+ years of SaaS based solutions and/or open source technologies.</li>\n</ul>\n<ul>\n<li>Executive presence; executive selling, communication and business development skills.</li>\n</ul>\n<ul>\n<li>Proven performance, personally leading to measurable revenue results through strategic partnerships.</li>\n</ul>\n<ul>\n<li>Operational Excellence - ability to use data, systems and processes effectively to plan, execute and measure performance and initiatives; shared language and a disciplined approach to pipeline generation and sales process</li>\n</ul>\n<ul>\n<li>Strong skills in analysis, organization, and managing projects. You must be able to make quick, informed decisions that can lead to smart risks. 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You will also be responsible for navigating the agentic frontier, including bringing external best practices to ZoomInfo while contributing learnings back to the community.</p>\n<p>To be successful in this role, you will need to have a strong background in product management, with 6-15 years of experience in AI/ML infrastructure, developer platforms, or integration products. You should also have direct experience with production agentic systems, hands-on familiarity with agentic frameworks, and a track record of building platform products where engineering teams are your customers.</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_2b9ebe3a-9c7","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/8477033002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Agentic frameworks","Production agentic systems","Integration architecture","APIs","Webhooks","Authentication patterns","Rate limiting","Error handling at scale","Python","Prompt engineering","Tool description 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Management.</li>\n</ul>\n<ul>\n<li>Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.</li>\n</ul>\n<p>What We Look For:</p>\n<ul>\n<li>5+ years of experience in data and analytics, ideally at a SaaS company or large tech company</li>\n<li>Comfort navigating large datasets using SQL-based tools and delivering dashboards and BI visualizations</li>\n<li>Ability to translate complex data into actionable insights, the communicate and action those insights</li>\n<li>Proven track record driving cross-functional initiatives and collaborating across different organizations such as Product, Engineering, Data Science, GTM, and Support teams</li>\n<li>Excellent communication and stakeholder management skills, with an ability to influence without authority</li>\n<li>Strong process-orientation and systems thinker with bias for action</li>\n<li>Data-driven decision-making</li>\n<li>Experience working 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The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Local Pay Range $130,400-$182,600 USD</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_ed16888c-52f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8298108002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$130,400-$182,600 USD","x-skills-required":["data and analytics","SQL-based tools","dashboards and BI visualizations","cross-functional initiatives","communication and stakeholder management","process-orientation and systems thinking","data-driven decision-making"],"x-skills-preferred":["Databricks tools","extract/transform/load functions","Salesforce","Zendesk","Jira","Looker/Tableau","operational workflows"],"datePosted":"2026-04-18T15:44:26.038Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data and analytics, SQL-based tools, dashboards and BI visualizations, cross-functional initiatives, communication and stakeholder management, process-orientation and systems thinking, data-driven decision-making, Databricks tools, extract/transform/load functions, Salesforce, Zendesk, Jira, Looker/Tableau, operational workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":130400,"maxValue":182600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e2343331-d7e"},"title":"AI Enablement Lead, Talent & Leadership Development","description":"<p>We are seeking a program leader who will design and operationalize new approaches to onboarding, manager effectiveness, career growth, and leadership development using automation, data, and emerging AI technologies.</p>\n<p>This role sits at the intersection of talent development, employee experience, and applied AI innovation. 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fluid interfaces: Create high-fidelity visual designs, layouts, and engaging motion/interaction designs that make complex, AI-driven information highly accessible and aesthetically pleasing.\\n\\n<em> Bridge design and technology: Leverage deep technical understanding to write system instructions and utilize diverse prototyping methods, simulating model responses to inform design requirements and engineering approaches.\\n\\n</em> Champion innovation &amp; ethical design: Stay at the forefront of generative AI advancements, considering the intricate interplay of AI models, UI, user safety, and societal impact to develop responsible, user-centered solutions.\\n\\nMinimum Qualifications:\\n\\n<em> 10+ years of experience designing user interfaces and shaping content/responses for complex software applications, with specific experience designing for conversational AI / LLMs.\\n\\n</em> A robust portfolio showcasing fluency in visual, motion, and interaction design, alongside examples of content/product strategy and 0-to-1 AI-powered product builds.\\n\\n<em> Experience designing tools, communication platforms, or product experiences specifically tailored for Small and Medium Businesses (SMBs).\\n\\n</em> Demonstrated expertise in driving big product vision and guiding cross-functional teams (Engineering, PM, Research) through ideation, validation, and iteration.\\n\\n<em> Strong systems thinker capable of moving seamlessly between deep technical model evaluation and high-level UX/UI design.\\n\\n</em> Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to build from the ground up.\\n\\n<em> Excellent communication and storytelling capabilities, with the ability to articulate complex technical and design positions to leadership and cross-company teams.\\n\\nPreferred Qualifications:\\n\\n</em> Experience training, tuning, and evaluating large language models or other generative AI technologies.\\n\\n<em> Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.\\n\\n</em> Experience gathering and working with data to identify loss patterns in model output and create actionable insights.\\n\\n<em> Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.\\n\\n</em> Experience &quot;vibe-coding&quot; 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As an Integrated Media Director at Brainlabs, your singular focus is growth: growing your clients&#39; businesses, growing our business, and growing the careers of your team.</p>\n<p>Our Integrated Media Directors are media planning experts who connect channels and platforms to unlock growth through truly integrated media. They apply the right measurement methodologies and use rigorous testing to deliver measurable commercial impact.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Serve as the primary client contact, building trust and ensuring seamless communication between clients and internal teams.</li>\n<li>Lead strategic planning for full-funnel fundraising campaigns, from awareness through conversion and retention.</li>\n<li>Provide expertise in fundraising best practices, including donor acquisition, retention, and reactivation strategies.</li>\n<li>Collaborate with cross-functional teams (creative, digital, social, email, SMS, SEO and Search) to execute integrated campaigns.</li>\n<li>Monitor campaign performance, providing actionable insights and recommendations to optimize results.</li>\n<li>Identify growth opportunities with clients and support revenue generation through strategic initiatives.</li>\n<li>Represent the agency at client meetings and in thought leadership discussions.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>6+ years&#39; experience delivering full-service, integrated media solutions, ideally within fundraising vertical.</li>\n<li>Experience at an independent media agency.</li>\n<li>Channel planning experience with a strong integrated media planning and strategy background.</li>\n<li>Fluency in modern measurement, including using outputs from MMM and MTA models.</li>\n<li>A systems-thinking mindset, able to connect channels, platforms, and measurement into cohesive strategies.</li>\n<li>End-to-end understanding of full-service agency delivery, from strategy through activation and optimisation.</li>\n<li>Strong client leadership skills, with the ability to build trusted relationships and translate complex challenges into clear media solutions.</li>\n<li>Ability to thrive working in person with clients and teams.</li>\n</ul>\n<p>What happens next?</p>\n<p>We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team.</p>\n<p>Salary Range: $125,000-$181,000 USD</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_6178ad65-5bb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brainlabs","sameAs":"https://www.brainlabs одного"},"x-apply-url":"https://job-boards.greenhouse.io/brainlabs/jobs/4774497101","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000-$181,000 USD","x-skills-required":["Media planning","Fundraising","Donor acquisition","Retention and reactivation strategies","Modern measurement","MMM and MTA models","Systems thinking","Client leadership","Full-service agency 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member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realise their potential.</p>\n<p>You will play a crucial role in shaping the future of how people interact with AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.</li>\n</ul>\n<ul>\n<li>Key contributor to product strategy: Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes.</li>\n</ul>\n<ul>\n<li>Innovate through user-centered design: Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and 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applications.</li>\n</ul>\n<ul>\n<li>Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.</li>\n</ul>\n<ul>\n<li>Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products.</li>\n</ul>\n<ul>\n<li>Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product.</li>\n</ul>\n<ul>\n<li>Familiarity with behavioural data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.</li>\n</ul>\n<ul>\n<li>Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design 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and sites; how compute, network, power, and cooling systems interface at the rack boundary; and how deployment scope flows cleanly from hardware specification to facility delivery to a running cluster.</p>\n<p>This role is focused on deployment engineering, not on datacenter network or systems design , your scope is making sure clusters land cleanly and predictably, not designing the fabrics or facilities themselves.</p>\n<p>You will work across hardware, networking, facilities, supply chain, and construction to ensure that every generation of accelerator we deploy lands in a datacenter that is ready for it , on schedule, at full density, and with every piece of required infrastructure accounted for.</p>\n<p>You will be the person who sees around corners: anticipating how next-generation rack designs will stress our facilities, where our deployment model will break at scale, and what needs to change now so that the next cluster turn-up is faster and more predictable than the last.</p>\n<p>You will operate at the intersection of engineering strategy and execution discipline, partnering with internal research and systems teams, external developers, engineering firms, and OEM partners to deliver cluster capacity at the speed the frontier demands.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own cluster-level deployment strategy , define how AI compute clusters are organized across the floor, how racks interconnect, and how cluster topology requirements translate into facility and deployment scope across a portfolio of sites.</li>\n</ul>\n<ul>\n<li>Set rack interface standards spanning power, network, mechanical, thermal, and spatial domains, and ensure that every deployment includes the complete set of infrastructure required to bring a cluster online.</li>\n</ul>\n<ul>\n<li>Drive multi-threaded cluster bring-up programs across hardware, networking, power, and cooling , owning plans, dependencies, and critical paths from hardware specification through energization and turn-up.</li>\n</ul>\n<ul>\n<li>Partner with internal engineering teams , research, systems, networking, and hardware , to translate cluster requirements into deployable facility scope, and to derisk onboarding of new hardware platforms well ahead of delivery.</li>\n</ul>\n<ul>\n<li>Lead external partner execution with developers, engineering firms, OEMs, and construction teams, driving technical reviews, deviation management, and handoffs that keep deployments on schedule and within specification.</li>\n</ul>\n<ul>\n<li>Improve cluster turn-up reliability and repeatability , identify systemic gaps in deployment scope, tooling, and partner interfaces, and drive durable fixes that reduce time-to-serve for new capacity.</li>\n</ul>\n<ul>\n<li>Define and track deployment KPIs , cluster readiness, schedule adherence, scope completeness, time-to-first-packet , and use historical trends to forecast risk and inform capacity planning.</li>\n</ul>\n<ul>\n<li>Coordinate cross-functional readiness across supply chain, security, operations, and construction to ship production-ready compute capacity.</li>\n</ul>\n<ul>\n<li>Provide crisp executive visibility on deployment progress, tradeoffs, and risks across a portfolio of concurrent cluster programs.</li>\n</ul>\n<ul>\n<li>Design cluster interfaces for durability , define rack and cluster-level interfaces that remain robust across hardware generations, so that facility scope and deployment models do not need to be reinvented every time the underlying hardware changes.</li>\n</ul>\n<ul>\n<li>Build cluster layout and BOM tooling , create and maintain the tools, templates, and data models that turn cluster topology and rack specifications into accurate floor layouts, deployment sequences, and complete bills of materials, replacing one-off spreadsheets with repeatable, auditable workflows.</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 10+ years of experience in hyperscale datacenter environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.</li>\n</ul>\n<ul>\n<li>Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.</li>\n</ul>\n<ul>\n<li>Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.</li>\n</ul>\n<ul>\n<li>Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.</li>\n</ul>\n<ul>\n<li>Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.</li>\n</ul>\n<ul>\n<li>Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.</li>\n</ul>\n<ul>\n<li>Hold a Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.</li>\n</ul>\n<ul>\n<li>Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.</li>\n</ul>\n<ul>\n<li>Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape 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For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $320,000-$405,000 USD</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_60082588-bf0","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/5191638008","x-work-arrangement":"remote-hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Hyperscale datacenter environments","Cluster deployment","Large-scale IT integration","Infrastructure programs","AI","HPC","High-density compute clusters","Interconnect reach","Adjacency","Power density","Thermal limits","IT hardware","Facility infrastructure","Interface standards","Cluster topology","Portfolio strategy","Execution discipline","Systems thinking","Communication","Technical audiences","Executive audiences","Decision-making","Trade-offs","Leadership","Bachelor's degree","Electrical Engineering","Mechanical Engineering","Computer Engineering","Practical experience"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:36:06.517Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Hyperscale datacenter environments, Cluster deployment, Large-scale IT integration, Infrastructure programs, AI, HPC, High-density compute clusters, Interconnect reach, Adjacency, Power density, Thermal limits, IT hardware, Facility infrastructure, Interface standards, Cluster topology, Portfolio strategy, Execution discipline, Systems thinking, Communication, Technical audiences, Executive audiences, Decision-making, Trade-offs, Leadership, Bachelor's degree, Electrical Engineering, Mechanical Engineering, Computer Engineering, Practical experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_17df841f-885"},"title":"Product Operations","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. 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You will work closely with Product, Engineering, Design, and Product Marketing to build the systems, cadences, and standards that help teams execute consistently and at high quality.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own and evolve the operating system used by Product to plan, track, and communicate work, including roadmaps, planning artifacts, and execution tracking (in close partnership with Engineering Operations).</li>\n<li>Design and run lightweight operating cadences (e.g., planning cycles, product reviews, execution check-ins)</li>\n<li>Improve visibility into priorities, progress, and decisions across the product organization without adding unnecessary process</li>\n<li>Define and own the PM tool stack, evolving the tools and workflows that PMs use every day to ensure the function is operating effectively</li>\n<li>Identify where automation, AI/agents, and other new workflows can materially change how product work gets done, and translate those ideas into adopted capabilities.</li>\n<li>Partner with Product leadership to reinforce a high-performing product culture, both virtually (e.g., Product All Hands) and in-person (e.g., Bi-Annual Product Summits / Onsites)</li>\n<li>Build systems that capture and share high-quality product work (e.g., great PRDs) and decisions across teams, helping raise the bar and accelerate learning.</li>\n<li>Longer-term, own Product Manager onboarding and ongoing enablement, ensuring PMs ramp quickly and understand how great product work gets done at Plaid.</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>8+ years of experience in Product Operations, Program Management, or a similar role.</li>\n<li>Experience in fast-moving, product-led organizations with limited tolerance for unnecessary process.</li>\n<li>Strong systems thinker who can design operating models that scale without adding bureaucracy.</li>\n<li>Proven scrappy executor who takes ownership and gets things done.</li>\n<li>Comfort operating in ambiguity and building from a blank page.</li>\n<li>Clear, concise communicator with strong written and verbal skills.</li>\n<li>Strong product instincts and empathy for Product Managers and cross-functional partners.</li>\n<li>Prior technical experience and/or the curiosity to build a deep understanding of Plaid’s products</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_17df841f-885","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/7f6174b1-2470-400c-94e3-64fe62664884","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$162,000-237,000 per year","x-skills-required":["Product Operations","Program Management","Systems thinking","Communication","Product development","Technical experience"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:52:12.070Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Finance","skills":"Product Operations, Program Management, Systems thinking, Communication, Product development, Technical experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":162000,"maxValue":237000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9f2cfccf-ac6"},"title":"Senior Financial Reconciliation Manager","description":"<p>We&#39;re hiring a Senior Financial Reconciliation Manager at a pivotal moment in Mercury&#39;s evolution. This leader will own reconciliation end-to-end: scaling partner bank reconciliation operations today while architecting the future-state framework for Mercury as a chartered institution.</p>\n<p>You&#39;ll lead a high-performing team, shape and optimize our BlackLine environment, and design the controls infrastructure that will underpin a regulated bank. You&#39;ll serve as the subject matter expert across payment rails and partner relationships , and define what “best-in-class reconciliation” looks like at Mercury.</p>\n<p>This role is for someone who pairs deep accounting rigor with strong operational instincts, systems thinking, and a genuine passion for building teams and scalable processes from the ground up.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own reconciliation integrity across customer transactions spanning multiple payment rails and account types</li>\n<li>Architect and implement the reconciliation structure for Mercury&#39;s de novo bank charter</li>\n<li>Design and operationalize a robust reconciliation controls framework aligned with regulatory expectations</li>\n<li>Lead and mentor a team of reconciliation analysts</li>\n<li>Drive strategy and optimization within our BlackLine environment and reconciliation tooling</li>\n<li>Use data to identify systemic improvements, eliminate manual processes, and enable automation at scale</li>\n<li>Translate partner bank requests into clear internal execution plans</li>\n<li>Partner cross-functionally with Engineering, Product, Accounting, Risk, and Data Science to build scalable infrastructure</li>\n<li>Feel confident when using data and intuition to make decisions in a fast-paced, ambiguous environment, while demonstrating curiosity and a growth mindset</li>\n<li>Be fully autonomous and find joy in driving efficiency</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years of experience in reconciliation, with at least 3+ years in banking, fintech, or reconciliation tooling environments</li>\n<li>Experience optimizing data flows and automating manual reconciliation processes</li>\n<li>Strong knowledge of payment rails including Fedwire, ACH, and card settlement and the reconciliation workflows they create</li>\n<li>Demonstrated ability to build and implement control frameworks</li>\n<li>Comfort collaborating across technical and non-technical stakeholders, including engineers and external partners</li>\n<li>Proven people leadership experience, with a focus on coaching and developing teams</li>\n<li>A builder mindset , energized by creating structure where it doesn’t yet exist</li>\n<li>Systems thinking, operational rigor, and a bias toward action</li>\n</ul>\n<p>Total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. 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In this role, you will be pivotal in helping define the strategy for creating the optimal customer experience when interacting with AI agents. You will implement this vision through targeted configuration of workflows and automations, regular reviews of bot performance and quality coaching.</p>\n<p>You&#39;ll sit at the intersection of customer experience, automation quality, and operational efficiency, partnering closely with Customer Support Strategy and Ops, Engineering, Product and external vendors to ensure the bot delivers a high-quality, safe, and trustworthy experience at scale.</p>\n<p>Along with the bot-focused work, you will be instrumental in defining the AI strategy within the CS org, creating best practices and supporting peers across CS in investigating AI solutions to maximise efficiency within the team.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Partner with CS and Product leadership to define the strategy and roadmap for our chatbot and email AI agents to contribute to company OKRs</li>\n<li>Architect and optimize AI agent workflows and procedures: Design simple, reliable conversation workflows and automations so our chatbot asks the right questions, clarifies common customer needs, and responds with accurate information, appropriately escalating to live support when needed.</li>\n<li>Quality reviews, analytics and bot coaching: Conduct regular reviews of bot conversations and high-level report analysis to identify trends, areas of opportunity and potential risk within the chatbot.</li>\n<li>Cross-collaboration to improve resolution rate and quality: Work with partners in Engineering, Product and CS Strategy and Ops to maximise the types of interactions the chatbot can support and resolve - connecting new data sources or systems on the backend to give the bot greater scope, implementing new workflows that use this data to solve new customers requests without live support intervention.</li>\n<li>Optimise the AI Agent experience across all channels: Expand upon the types of interactions and experiences that qualify for the email AI agent and other asynchronous channels.</li>\n<li>Compliance and security: Ensure Mercury&#39;s high standards for security and compliance are woven into the foundations of our AI-assisted CS strategy</li>\n<li>AI vendor relationship owner: Own the relationship with AI vendors for CS solutions, including Intercom. Raising issues, requesting fixes, staying on top of product releases and coordinating changes that impact CS operations</li>\n<li>Scoping of internal agent co-pilot: Drive efforts to assess and implement agent assist AI tools to maximise agent efficiency</li>\n<li>Evaluation of AI tooling for CS partners: Support other teams, such as Learning and Development and QA in evaluating how other tools&#39; AI offerings can increase efficiency across CS.</li>\n</ul>\n<p>What You Bring to the Table:</p>\n<ul>\n<li>1–3 years of experience in configuration of customer-facing AI agent/chatbot (e.g., Fin by Intercom, Ada, Zendesk AI)</li>\n<li>5+ years of experience in customer support backend operations or CS systems administration</li>\n<li>Systems thinker and problem solver, with experience in testing new solutions and change management for CS teams</li>\n<li>Strong technical acumen, with the ability to understand and communicate technical concepts to both technical and non-technical audiences</li>\n<li>Analytical thinking: ability to interpret data quickly and translate it into actionable decisions</li>\n<li>Cross-collaboration: works effectively with cross-functional partners across Engineering, Product, Compliance, Core Customer Support</li>\n<li>Stakeholder communication: delivers clear, concise updates to stakeholders at all levels</li>\n<li>Adaptability and a growth mindset, thriving in a fast-paced, ever-evolving environment</li>\n<li>Proven ability to work cross-functionally, particularly with technical teams like Engineering, Product, and Security</li>\n<li>An interest in software development or engineering, enabling deeper technical conversations with our engineering teams</li>\n<li>Experience with core customer support platforms such as Zendesk, Guru, MaestroQA/Rippit</li>\n<li>Proficiency in SQL and familiarity with navigating data tables</li>\n<li>Experience supporting remote or distributed workforce models</li>\n</ul>\n<p>The total rewards package at Mercury includes base salary, equity (stock options), and benefits.</p>\n<p>Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate&#39;s experience, expertise, geographic location, and internal pay equity relative to peers.</p>\n<p>Our target new hire base salary ranges for this role are the following:</p>\n<ul>\n<li>US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $143,400 - $168,700 USD</li>\n<li>US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $129,100 - $151,800 USD</li>\n<li>Canadian employees (any location): CAD $130,500 - $153,500</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_79078275-e22","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5888354004","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$143,400 - $168,700 USD (US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area)","x-skills-required":["configuration of customer-facing AI agent/chatbot","customer support backend operations","CS systems administration","systems thinking","problem solving","technical acumen","analytical thinking","cross-collaboration","stakeholder communication","adaptability","growth mindset","SQL","data tables"],"x-skills-preferred":["software development","engineering","Zendesk","Guru","MaestroQA/Rippit"],"datePosted":"2026-04-17T12:45:26.554Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"configuration of customer-facing AI agent/chatbot, customer support backend operations, CS systems administration, systems thinking, problem solving, technical acumen, analytical thinking, cross-collaboration, stakeholder communication, adaptability, growth mindset, SQL, data tables, software development, engineering, Zendesk, Guru, MaestroQA/Rippit","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":143400,"maxValue":168700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b7f9acb0-0de"},"title":"Electronic Warfare (EW) Systems Engineer","description":"<p>We are seeking a highly motivated Electronic Warfare (EW) Systems Engineer to design, develop, and integrate advanced systems that operate within the electromagnetic spectrum. This role supports mission-critical defense programs focused on sensing, protecting, and controlling RF environments in complex and contested scenarios.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Supporting system integration of RF hardware, software, and platform-level components (air, land, sea, or space)</li>\n<li>Planning and executing test &amp; evaluation (T&amp;E) activities, including lab and field testing</li>\n<li>Generating and maintaining technical documentation, requirements, and verification artifacts</li>\n<li>Meeting with clients and stakeholders to identify, gather, and document technical requirements</li>\n<li>Analyzing project technical features, creating diagrams, and building models to define system behavior</li>\n<li>Ensuring that requirements are correct (validation) and that the final system meets those requirements (verification)</li>\n<li>Maintaining traceability of requirements from design to testing to prevent scope creep</li>\n<li>Working with software, RF, hardware, and project management teams to align design with user needs</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>A bachelor&#39;s degree in Systems Engineering, Computer Sciences, Physics, or a related field</li>\n<li>Experience with simulation tools, modeling tools, and requirements management software</li>\n<li>A strong understanding of signal processing fundamentals (FFT, filtering, detection theory)</li>\n<li>Experience with modeling and simulation tools (e.g., MATLAB, Simulink, Python)</li>\n<li>Familiarity with RF test equipment (spectrum analyzers, signal generators, network analyzers)</li>\n<li>The ability to obtain and maintain a U.S. security clearance</li>\n</ul>\n<p>To conform to U.S. Government export regulations, applicants must be a U.S. citizen, green card holder, or be eligible to obtain the required authorizations from the U.S. Department of State.</p>\n<p>What we offer includes:</p>\n<ul>\n<li>A competitive salary, stock options, and benefits, including health, vision, and dental</li>\n<li>401K enrollment at 90 days</li>\n<li>Generous PTO + most federal holidays observed</li>\n<li>A collaborative and inclusive work environment</li>\n<li>Access to the latest tools and technologies</li>\n<li>High levels of responsibility and autonomy</li>\n<li>Professional growth and development opportunities</li>\n<li>Access to the hardest problems in electronic warfare</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_b7f9acb0-0de","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CX2","sameAs":"https://cx2.com/","logo":"https://logos.yubhub.co/cx2.com.png"},"x-apply-url":"https://jobs.lever.co/cx2/3ba36db9-22b3-4149-a44e-648992363681","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Systems thinking and problem-solving in complex environments","Strong analytical and quantitative skills","Ability to work in cross-disciplinary teams","Effective written and verbal communication","Simulation tools","Modeling tools","Requirements management software","Signal processing fundamentals","Modeling and simulation tools","RF test equipment"],"x-skills-preferred":["Electronic warfare systems","Radar signal processing","EW techniques","MBSE/SysML tools","RF simulation tools"],"datePosted":"2026-04-17T12:27:52.559Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Systems thinking and problem-solving in complex environments, Strong analytical and quantitative skills, Ability to work in cross-disciplinary teams, Effective written and verbal communication, Simulation tools, Modeling tools, Requirements management software, Signal processing fundamentals, Modeling and simulation tools, RF test equipment, Electronic warfare systems, Radar signal processing, EW techniques, MBSE/SysML tools, RF simulation tools"},{"@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_233ac2a2-599"},"title":"Leader in Training","description":"<p>About Belong</p>\n<p>We believe in a world where homes are owned by regular people, not corporations. Our mission is to provide authentic belonging experiences, empowering residents to become homeowners and homeowners to achieve financial freedom. We are building a scaled system of wealth creation for regular people through homeownership.</p>\n<p>We&#39;ve survived Covid, the tech crash, and the toughest years of the capital markets. We are growing fast and we are AI First. Our 200+ Belongers are strong, curious, and extremely ambitious. Come Build the Future of Home</p>\n<p>At Belong, we don’t believe homes should be owned by institutions or that renting should feel like a transaction. We believe homes should be owned by regular people, and renting should feel like belonging.</p>\n<p>To bring that future into reality, we’ve built a new system, one that fuses full-stack logistics, breakthrough AI, and a deep sense of humanity. Today, we serve homeowners and residents across the country. Tomorrow, we’ll serve millions. But scale alone doesn’t matter. What matters is how people feel in the system we build. That’s where you come in.</p>\n<p>The Mission</p>\n<p>We’re looking for a rare kind of leader. Someone who can architect and run one of the most emotionally charged, operationally complex, and strategically critical stages in the rental journey.</p>\n<p>These moments make or break customer trust. They involve physical logistics, digital orchestration, emotional stakes, and financial precision all at once.</p>\n<p>We’ve built the pieces. Now we need someone to lead them into greatness.</p>\n<p>This isn’t project management.</p>\n<p>This is ownership at a national scale.</p>\n<p>This is team building across time zones and languages.</p>\n<p>This is operational innovation in a mission-driven company that’s here to stay.</p>\n<p>What You’ll Own</p>\n<p>AI-First Operations</p>\n<p>At Belong, artificial intelligence isn’t a bolt-on, it’s in the bloodstream of our operations.</p>\n<p>We’re embedding AI into the very core of how transitions happen:</p>\n<p>Predictive models for scheduling and dispatch</p>\n<p>Smart triaging and routing of fieldwork</p>\n<p>Automated homeowner and resident updates that feel human</p>\n<p>Dynamic workforce optimization based on real-time constraints</p>\n<p>As Owner, you won’t just use AI, you’ll help shape it. You’ll partner with our product and engineering teams to translate operational pain points into AI-powered solutions. And you&#39;ll become the bridge between what’s possible and what’s transformational.</p>\n<p>This is your chance to be part of a future where software and empathy scale together.</p>\n<p>Lead a Mission-Critical Program</p>\n<p>Architect and scale our end-to-end member transition programs across multiple markets.</p>\n<p>Own service delivery, quality control, KPI outcomes, and continuous improvement.</p>\n<p>Build and evolve SOPs that set the gold standard for operational excellence.</p>\n<p>Build &amp; Elevate a Global Team</p>\n<p>Inspire, train, and scale a high-performing, globally distributed operations team.</p>\n<p>Set the tone, tempo, and bar for excellence. Then raise it.</p>\n<p>Drive Operational Strategy with Product &amp; Engineering</p>\n<p>Use your voice at the strategy table.</p>\n<p>Work side-by-side with Product and Engineering to define tools, automations, and AI enhancements that make our system better every day.</p>\n<p>Transform Data into Action</p>\n<p>Design and manage dashboards that provide full visibility into program performance.</p>\n<p>Translate raw data into decisions that move the needle on satisfaction, retention, and cost-efficiency.</p>\n<p>Create Belonging Moments at Scale</p>\n<p>Establish proactive communication loops that earn trust from homeowners and residents at critical moments.</p>\n<p>Implement feedback systems that turn small moments into major product and process insights.</p>\n<p>What We’re Looking For</p>\n<p>Deep experience designing and running operations in a technology-enabled, customer-centric environment.</p>\n<p>Strong fluency in systems thinking, process design, and data analytics (SQL, Looker, Tableau, etc.).</p>\n<p>Leadership in ambiguous, high-growth settings,bonus points for marketplace, logistics, or home services experience.</p>\n<p>A heart for the customer. 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A will to win.</p>\n<p>Preferred</p>\n<p>Spanish fluency</p>\n<p>Experience partnering closely with Product &amp; Engineering teams</p>\n<p>Previous exposure to property management, logistics, or complex service delivery</p>\n<p>Why This Role Matters</p>\n<p>The person in this seat will design the invisible and visible infrastructure behind one of Belong’s most impactful promises: a move-in and move-out experience that feels like care, not chaos.</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_233ac2a2-599","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/6d076d78-56ca-4219-aceb-0c49622f2c74","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","operations","leadership","data analytics","process design","systems thinking","customer-centric","technology-enabled"],"x-skills-preferred":["Spanish","property management","logistics","complex service delivery"],"datePosted":"2026-04-17T12:23:53.717Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"AI, operations, leadership, data analytics, process design, systems thinking, customer-centric, technology-enabled, Spanish, property management, logistics, complex service delivery"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c478fbcd-014"},"title":"Staff AI Product Designer, Gemini Assistant, GeminiApp","description":"<p>The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity.</p>\n<p>We&#39;re building innovative ways for people to get things done &amp; enrich their lives. 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This is a unique opportunity to be at the cutting edge of AI interface experimentation, tackling ambiguous, high-impact design challenges. You will be instrumental in inventing novel interaction patterns and rich multimodal experiences that help users get the most out of AI into their daily lives within communal and shared environments.</p>\n<p>At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. We&#39;re a world-leading AI research company, pushing the boundaries of what&#39;s possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We&#39;re committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world&#39;s most challenging problems. Join us and be part of a team that&#39;s shaping the future of AI.</p>\n<p>We are seeking an experienced and innovative Staff AI Product Designer for the Gemini App device team to architect “first-of-their-kind” AI interactions for the Home platform. Operating at the intersection of frontier LLMs and hardware, you will design conversational experiences with agentic behaviors for far-field devices. You will collaborate with engineers and research scientists to move beyond traditional screens, creating intuitive, hands-free, and visually rich solutions that serve as intelligent assistants. This role requires a self-starter comfortable navigating the rapidly evolving space of generative AI to define product-market fit for novel device experiences. You will lead the design process from concept to shipping, shaping the future of human-AI interaction by delivering seamless, contextual solutions that enrich users&#39; lives in communal and shared home spaces.</p>\n<p>Responsibilities:</p>\n<p>This role requires a blend of creative problem-solving, strong leadership, AI proficiency, and a proven ability to translate complex user needs into impactful design solutions.</p>\n<p>Design intuitive AI experiences: Design user interfaces and consumer experiences for Gemini, ensuring natural and efficient interaction within your specific product area.</p>\n<p>Partner on product strategy: Collaborate with cross-functional teams and cross-organizations to align design efforts with product strategy and user goals, influencing decisions that drive positive user outcomes.</p>\n<p>Innovate through user-centered design: Translate user needs, technical understanding, and business requirements into polished design solutions that amplify people’s capabilities and enrich their lives.</p>\n<p>Utilize systems-thinking approach: Apply a systems-thinking approach to your design work, understanding the impact of individual components on the overall AI-powered experience, optimized for AI&#39;s probabilistic nature.</p>\n<p>Craft visually polished interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing, highly usable, and consistent with the broader design system.</p>\n<p>Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements.</p>\n<p>Apply design innovation: Stay current on the latest design trends in consumer technology and generative AI, applying these best practices to create exceptional experiences.</p>\n<p>Design for ethical and societal impact: Consider the interplay of AI models, ethical considerations, and societal impacts to advocate for responsible solutions within your project scope.</p>\n<p>Minimum Qualifications:</p>\n<p>10+ years of experience designing user interfaces for complex software applications, with specific experience in designing for conversational AI/LLMs.</p>\n<p>A robust portfolio showcasing fluency in visual, interaction, and systems design, with examples of work related to AI-powered interfaces or complex consumer applications.</p>\n<p>Proficiency in designing user-centric experiences for unconventional hardware devices, with a strong understanding of physical interactions, multi-device complexities, and contextual awareness.</p>\n<p>Demonstrated expertise in designing intuitive interactions for AI-driven products.</p>\n<p>Experience collaborating with large cross-functional teams through ideation, validation, and iteration processes, helping transform abstract ideas into shippable products.</p>\n<p>Familiarity with behavioral data and capability to create data-driven designs, while being equally capable of moving forward in the absence of data.</p>\n<p>Excellent communication and collaboration skills with the ability to articulate design rationale and build alignment with partners.</p>\n<p>Strong presentation and storytelling capabilities with the ability to communicate effectively to stakeholders.</p>\n<p>A systems thinker with a passion for creating user-centered design solutions and an ability to design experiences that are ethical and accessible.</p>\n<p>Demonstrated experience thriving in a startup environment, comfortable with the ambiguity and iteration required to deliver impactful designs.</p>\n<p>Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.</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_96430166-9c4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7580328","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$178,000 USD - 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Work with other SMEs in the chemical, biological, radiological, nuclear, and conventional explosive domains to build a unified defence against CBRNE-related risks.</li>\n<li>External Engagement: Stay abreast of global chemical security trends and international non-proliferation policy through engagement with external international, governmental, and non-governmental organisations.</li>\n</ul>\n<p>About You:</p>\n<p>You are a seasoned scientist who bridges the gap between laboratory chemistry and emerging technology. You are motivated by the challenge of defending complex systems and possess the critical mindset required to anticipate non-obvious misuse scenarios.</p>\n<p>Minimum Qualifications:</p>\n<ul>\n<li>Chemistry Expertise: PhD in synthetic organic chemistry with at least two years post-doctoral or equivalent experience.</li>\n<li>Publication Record: Proven experience publishing as a first author in high-impact general science or chemistry-specific journals, and presenting work at international chemistry conferences. 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Our charter is to prove out high-leverage applications, build the right partnerships, and turn early experiments into sustainable operating models. In life sciences, we work with Research to extend scaling laws into biology and chemistry, aligning scientific progress with real-world deployment.</p>\n<p><strong>About the role</strong></p>\n<p>We are hiring a Business Lead to own account and market strategy for a portfolio of strategic life sciences organizations and research institutions. You will translate their highest-leverage priorities and constraints into a multi-year partnership strategy, a joint roadmap, and clear governance.</p>\n<p>You will orchestrate the internal deal and deployment team to deliver outcomes in regulated environments. We measure success through delivery of customer outcomes, closed-won revenue, and long-term expansion.</p>\n<p>This role is based in San Francisco, New York, or London. 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We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information techno</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_b23588cd-f8e","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/875b6559-55f0-4cea-ad62-0063d0cb0b73","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$390K • Offers Equity","x-skills-required":["8+ years of experience leading enterprise GTM, strategic partnerships, or commercialization for technical products in regulated life sciences","Commercialization of technical products where adoption, governance, and executive trust determined expansion","Building trust with clinical, regulatory, privacy, and safety stakeholders","Communicating clearly across scientific, technical, and executive audiences","Building alignment across researchers, builders, and commercial teams"],"x-skills-preferred":["AI x Science","Systems thinking","Regulated environments","Partnership governance","Cross-functional teams"],"datePosted":"2026-03-09T20:47:11.216Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"8+ years of experience leading enterprise GTM, strategic partnerships, or commercialization for technical products in regulated life sciences, Commercialization of technical products where adoption, governance, and executive trust determined expansion, Building trust with clinical, regulatory, privacy, and safety stakeholders, Communicating clearly across scientific, technical, and executive audiences, Building alignment across researchers, builders, and commercial teams, AI x Science, Systems thinking, Regulated environments, Partnership governance, Cross-functional teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":390000,"maxValue":390000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_be02546a-24d"},"title":"Senior Director of Production - Battlefield Operations","description":"<p>We&#39;re looking for a Senior Director of Production to help us build and sustain high-performing, healthy teams across multiple locations and time zones. 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You will define what Customer Dashboard developer experience looks like at Constructor and your work will multiply the impact of every engineer on the dashboard.</p>\n<p><strong>Responsibilities</strong></p>\n<p>You and your team will own three areas:</p>\n<ul>\n<li><strong>Dashboard reliability</strong>: infrastructure, monitoring, alerting, incident response, CI/CD pipelines</li>\n<li><strong>Developer experience</strong>: tooling, development environment, design system, agentic coding infrastructure</li>\n<li><strong>Platform capabilities</strong>: authorization, audit logging, configuration management, and other features that provide horizontal value across the dashboard</li>\n</ul>\n<p>You&#39;ll lead a small team, spending roughly 50% of your time on technical work, 20% on team leadership, and 30% working across teams. 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We want you to have the resources you need to set up your home office</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Parental leave for qualified employees</li>\n<li>Work with smart people who will help you grow and make a meaningful impact</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_147ed69d-b34","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/407E751D7D","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Platform engineering experience","Full-stack technical depth","Infrastructure and operations experience","Leadership experience","Systems thinking","Communication skills","Comfort with ambiguity"],"x-skills-preferred":["Experience with design systems or component libraries","Experience with AI-assisted development tools or agentic coding","Experience in e-commerce or B2B SaaS","Experience working remotely in a distributed team"],"datePosted":"2026-03-09T10:58:40.093Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Platform engineering experience, Full-stack technical depth, Infrastructure and operations experience, Leadership experience, Systems thinking, Communication skills, Comfort with ambiguity, Experience with design systems or component libraries, Experience with AI-assisted development tools or agentic coding, Experience in e-commerce or B2B SaaS, Experience working remotely in a distributed team"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b83a3282-d15"},"title":"Platform Engineer, Forward Deployed Engineering (FDE) -SF","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. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.</p>\n<p><strong>About the role</strong></p>\n<p>Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.</p>\n<p>You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. 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We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.</p>\n<p><strong>About the role</strong></p>\n<p>We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.</li>\n</ul>\n<ul>\n<li>Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.</li>\n</ul>\n<ul>\n<li>Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.</li>\n</ul>\n<ul>\n<li>Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.</li>\n</ul>\n<ul>\n<li>Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.</li>\n</ul>\n<ul>\n<li>Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; 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The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We serve a diverse audience of users who are already using ChatGPT daily in their lives and work.</p>\n<p>We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.</p>\n<p>Design plays a critical role here. To succeed in our mission, it’s crucial that we make our technology intuitive and accessible. We’re hiring a product designer to create products that are easy to use, beautiful, and push the boundaries of what’s possible. As an early team member, you’ll have a huge part in shaping our product direction and design culture.</p>\n<p><strong>About the role</strong></p>\n<p>We&#39;re hiring product designers to join the Business Products team at OpenAI. Our team is growing rapidly as we build foundational tools and experiences for developers, startups, enterprise customers, and net-new B2B solutions. We&#39;re looking for versatile designers who thrive in complexity, care deeply about craft, and are excited to help shape the future of AI-powered platforms.</p>\n<p>We have a variety of roles open across areas like developer tools, enterprise solutions, public sector initiatives, and 0-1 product incubations. Designers on these teams have a strong generalist skillset but also depth in technical experience, product thinking, systems, and a bias toward high-quality, usable interfaces.</p>\n<p><strong>What you’ll do:</strong></p>\n<ul>\n<li>Partner with product, engineering, research, and go-to-market teams to define and build new tools and experiences from the ground up.</li>\n</ul>\n<ul>\n<li>Design thoughtful, scalable solutions for complex systems, especially in B2B or developer-facing domains.</li>\n</ul>\n<ul>\n<li>Create clear artifacts that guide decision-making and execution.</li>\n</ul>\n<ul>\n<li>Navigate ambiguity and help define the problem space before jumping into solutions.</li>\n</ul>\n<ul>\n<li>Contribute to a high-functioning, collaborative design culture that values speed and craftsmanship.</li>\n</ul>\n<p><strong>Who you are:</strong></p>\n<ul>\n<li>You’ve designed and shipped complex, high-impact products, ideally in the B2B or developer tools space.</li>\n</ul>\n<ul>\n<li>You’re comfortable designing for ambiguity, and can lead design efforts from early discovery through implementation.</li>\n</ul>\n<ul>\n<li>You can zoom out to systems thinking and strategy, then zoom in to pixel-level details and user flows.</li>\n</ul>\n<ul>\n<li>You communicate clearly and proactively—both in visual design and written/spoken formats.</li>\n</ul>\n<ul>\n<li>You’re collaborative, curious, and energized by fast-paced, mission-driven work.</li>\n</ul>\n<p><strong>Why you’ll love this role:</strong></p>\n<ul>\n<li>Opportunity to design at the cutting edge of AI technology, shaping how businesses integrate and benefit from AI tools.</li>\n</ul>\n<ul>\n<li>Influence the product direction of ChatGPT for Work as we build experiences tailored to enterprise environments.</li>\n</ul>\n<ul>\n<li>Join a collaborative, mission-driven team passionate about creating impactful products.</li>\n</ul>\n<p><strong>Preferred qualifications:</strong></p>\n<ul>\n<li>4+ years of experience designing digital products; open to more senior designers depending on role.</li>\n</ul>\n<ul>\n<li>Background in b2b software, developer platforms, or technical tools is a strong plus.</li>\n</ul>\n<ul>\n<li>Experience working with cross-functional teams in highly technical domains.</li>\n</ul>\n<ul>\n<li>Familiarity with Figma and modern design systems.</li>\n</ul>\n<ul>\n<li>Based in (or willing to relocate to) San Francisco or New York.</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. 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We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p 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_c66d7006-392","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/681f9b48-0ebb-451d-ab79-103b4379db27","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $515K • Offers Equity","x-skills-required":["product analytics","data science","AI systems","agent frameworks","LLM-based products","developer platforms","APIs","technical products","B2B SaaS","enterprise analytics","systems thinking"],"x-skills-preferred":["AI/ML systems","agent orchestration","enterprise workflows","AI productivity tools","experimentation","behavioural analysis","product metrics"],"datePosted":"2026-03-06T18:31:10.442Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product analytics, data science, AI systems, agent frameworks, LLM-based products, developer platforms, APIs, technical products, B2B SaaS, enterprise analytics, systems thinking, AI/ML systems, agent orchestration, enterprise workflows, AI productivity tools, experimentation, behavioural analysis, product metrics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":515000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aaa237f2-003"},"title":"Senior/Experienced Product Designer","description":"<p><strong>Senior/Experienced Product Designer</strong></p>\n<p>R&amp;D - Remote</p>\n<p>What we’re doing</p>\n<p>We’re building the AI powered coaching platform that transforms how gamers learn, compete, and win. 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Use our products inside real games starting with sim racing and Rocket League and validate AI integrated UI</li>\n<li>Build deep customer empathy through research, interviews, and immersing yourself in the problem space</li>\n</ul>\n<p>Skills you’ll bring</p>\n<ul>\n<li>Track record of excellence with 4+ years designing consumer products in gaming or B2C SaaS</li>\n<li>Data-informed decision making. You balance qualitative research and quantitative insights to make better design decisions. You know when to test, when to measure, and when to ship.</li>\n<li>Systems thinking. You connect user goals, flows, and business outcomes</li>\n<li>Scrappy Self starter. You are resilient, resourceful (Leverage AI in workflows), and comfortable with ambiguity and fast change</li>\n<li>User obsessed. You balance testing, behavior data, and good judgment</li>\n<li>Clear communicator who can explain trade offs and decisions across teams</li>\n<li>Working knowledge of AI features and how to design user friendly ML applications</li>\n<li>Experience mentoring designers and raising the quality bar across a product team.</li>\n</ul>\n<p>You WILL NOT enjoy this role if</p>\n<ul>\n<li>You want pixel-perfect specs before starting; you’ll need to make judgment calls.</li>\n<li>You focus purely on visual polish and avoid thinking deeply about user flows and systems.</li>\n<li>You struggle when requirements are ambiguous;  you’ll be expected to create clarity.</li>\n<li>You want a large design team to lean on; this is a high-ownership role where you set the bar. 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