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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1df66b08-463"},"title":"Technical Program Manager, Inference Performance","description":"<p>As a Technical Program Manager for Inference, you&#39;ll be the critical bridge between our inference systems and the broader organisation. You&#39;ll drive strategic initiatives across inference runtime and accelerator performance,coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets.</p>\n<p>This role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Systems Integration &amp; Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.</li>\n</ul>\n<ul>\n<li>Performance &amp; Efficiency: Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.</li>\n</ul>\n<ul>\n<li>Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.</li>\n</ul>\n<ul>\n<li>Strategic Planning: Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.</li>\n</ul>\n<ul>\n<li>Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.</li>\n</ul>\n<ul>\n<li>Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.</li>\n</ul>\n<ul>\n<li>Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives</li>\n</ul>\n<ul>\n<li>Have strong stakeholder management skills and can build trust with both technical and non-technical partners</li>\n</ul>\n<ul>\n<li>Are comfortable navigating competing priorities and using data to drive technical decisions</li>\n</ul>\n<ul>\n<li>Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance</li>\n</ul>\n<ul>\n<li>Thrive in fast-paced environments and can balance strategic planning with tactical execution</li>\n</ul>\n<ul>\n<li>Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models</li>\n</ul>\n<p>Deadline to apply: None, applications will be received on a rolling basis.</p>\n<p>The annual compensation range for this role is $290,000-$365,000 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_1df66b08-463","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/5107763008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000-$365,000 USD","x-skills-required":["Technical Program Management","Inference Systems","Compilers","Hardware Accelerators","Cross-Functional Initiatives","Infrastructure Integration","Platform Modernization","New Tech Adoption","Performance Metrics","Capacity Gains","Runtime and Accelerator Layers","Efficiency Wins","Reliability","Model and Feature Launches","Cross-Platform Validation","Launch Timelines","Smooth Handoffs","Inference Deployment Roadmap","Engineering Leadership","Prioritisation Initiatives","Dependencies","Upcoming Changes","Organisational Impact","Stakeholder Communication","Requirements and Constraints","Technical Complexities","Leadership Updates","Priorities and Timelines","Process Improvement","Metrics and Dashboards","Infrastructure Health","Capacity Utilisation","Deployment Success Rates"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:27.143Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Inference Systems, Compilers, Hardware Accelerators, Cross-Functional Initiatives, Infrastructure Integration, Platform Modernization, New Tech Adoption, Performance Metrics, Capacity Gains, Runtime and Accelerator Layers, Efficiency Wins, Reliability, Model and Feature Launches, Cross-Platform Validation, Launch Timelines, Smooth Handoffs, Inference Deployment Roadmap, Engineering Leadership, Prioritisation Initiatives, Dependencies, Upcoming Changes, Organisational Impact, Stakeholder Communication, Requirements and Constraints, Technical Complexities, Leadership Updates, Priorities and Timelines, Process Improvement, Metrics and Dashboards, Infrastructure Health, Capacity Utilisation, Deployment Success Rates","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d1820c6-271"},"title":"Senior Software Engineer - Data Platform","description":"<p>At Pave, we&#39;re building the industry&#39;s leading compensation platform. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.</p>\n<p>Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.</p>\n<p>The future of pay is real-time &amp; predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.</p>\n<p><strong>The Data Platform Team @ Pave</strong></p>\n<p>The Data Platform team owns the data infrastructure that makes Pave work , connecting Pave&#39;s platform to the HRIS, EMS, ATS, and partner systems that power our customers&#39; compensation workflows. Without reliable, high-quality integrations, none of Pave&#39;s products can deliver their full value. This is a high-leverage role at the core of Pave&#39;s platform strategy. This is also a rare opportunity to join as a founding engineer on the team - meaning you won&#39;t just be executing on a defined roadmap, but actively shaping how the platform evolves, what gets prioritized, and what engineering culture looks like from day one.</p>\n<p>As a Senior Software Engineer on the Data Platform team, you will design and build the connectors, pipelines, and platform capabilities that enable Pave to serve enterprise customers at scale. You&#39;ll have significant influence over the architecture and reliability of a system that touches every Pave customer.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build new HRIS, EMS, ATS, and partner integrations, with a focus on enterprise-grade systems like Workday, BambooHR, and ADP</li>\n</ul>\n<ul>\n<li>Own integrations end-to-end , from connector design and data mapping through testing, rollout, and ongoing reliability</li>\n</ul>\n<ul>\n<li>Build and improve observability tooling , monitoring, alerting, and debugging infrastructure that gives the team and customers confidence in pipeline health</li>\n</ul>\n<ul>\n<li>Partner closely with product and go-to-market to prioritize connector coverage and unblock key deals</li>\n</ul>\n<ul>\n<li>Identify and address systemic reliability and scalability issues in Pave’s data platform</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience building and shipping production-grade software, with meaningful exposure to integrations, data pipelines, or API platforms</li>\n</ul>\n<ul>\n<li>Strong understanding of integration patterns, API design, and the operational challenges of third-party data dependencies</li>\n</ul>\n<ul>\n<li>Experience working on enterprise B2B products and an understanding of the reliability and data quality standards they require</li>\n</ul>\n<ul>\n<li>Ability to lead technical projects with ambiguity , third-party APIs are rarely well-documented and requirements shift</li>\n</ul>\n<ul>\n<li>Execution oriented , eager to not only design solutions but dive into implementation and see them through to a reliable, monitored production state</li>\n</ul>\n<ul>\n<li>Experience with our tech stack: TypeScript, Node.js, React, GCP</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement , and your total rewards package includes meaningful equity, flexible PTO, and region-specific benefits designed around your life, not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We&#39;re always happy to walk you through how we think about leveling , just ask.</p>\n<p><strong>Benefits</strong></p>\n<p>At Pave, growth isn&#39;t a perk , it&#39;s the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you&#39;re making.</p>\n<p>What we offer:</p>\n<ul>\n<li>Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority , because great work starts with taking care of yourself.</li>\n</ul>\n<ul>\n<li>Sports &amp; Wellness: A monthly wellness stipend to fuel your active lifestyle , whether that&#39;s a MultiSport membership or whatever keeps you moving.</li>\n</ul>\n<ul>\n<li>Life &amp; Disability Protection: Life, AD&amp;D, and permanent disability coverage so you and your family are protected when it matters most.</li>\n</ul>\n<ul>\n<li>Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.</li>\n</ul>\n<ul>\n<li>Time That&#39;s Actually Yours: Flexible PTO to rest, recharge, and show up as your best self , no counting days, no guilt.</li>\n</ul>\n<ul>\n<li>Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn&#39;t pause and neither should you.</li>\n</ul>\n<ul>\n<li>Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.</li>\n</ul>\n<ul>\n<li>Equipment: Top-of-the-line Pave hardware waiting for you on day one , no setup anxiety, just hit the ground running.</li>\n</ul>\n<p><strong>Life @ Pave</strong></p>\n<p>Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management , giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we&#39;re just getting started. Headquartered in San Francisco&#39;s Financial District, with regional hubs in New York City&#39;s Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom , wherever you&#39;re based, you&#39;ll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.</p>\n<p>We run a hybrid culture that brings teams together in person on Monday, Tuesday, Thursday, and Friday , and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It&#39;s one of the things people notice when they join us , that we truly enjoy spending time together.</p>\n<p>Our culture is shaped by five values we live every day:</p>\n<ul>\n<li>Be Intellectually Honest , Truth over comfort. We face reality clearly and speak directly, even when it&#39;s hard.</li>\n</ul>\n<ul>\n<li>Play to Win , We&#39;re not here to participate. We&#39;re here to be the #1 compensation platform in the world, and we act like it.</li>\n</ul>\n<ul>\n<li>Uphold the Pave Platinum Standard , We hold ourselves to the highest bar , for our customers, our data, and each other.</li>\n</ul>\n<ul>\n<li>One Team , We win and lose together. Titles don&#39;t drive decisions here , shared goals do.</li>\n</ul>\n<ul>\n<li>Hug of Jawn , Hard to define, impossible to miss. Ask your recruiter.</li>\n</ul>\n<p>Our Vision: Unlock a labor market built on trust.</p>\n<p>Our Mission: Build confidence in every compensation decision.</p>\n<p>We build software that transforms how companies pay their people , and we believe the team behind that software deserves the same thoughtfulness. If you&#39;re ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we&#39;re solving, we&#39;d love to meet you.</p>\n<p>Still deliberating? Just apply! We&#39;re always excited to meet people who are eager to contribute.</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_5d1820c6-271","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pave","sameAs":"https://pave.com","logo":"https://logos.yubhub.co/pave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/paveakatroveinformationtechnologies/jobs/4677919005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"contract","x-salary-range":null,"x-skills-required":["TypeScript","Node.js","React","GCP","Integration patterns","API design","Third-party data dependencies"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:30.563Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Krakow, Poland"}},"employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"TypeScript, Node.js, React, GCP, Integration patterns, API design, Third-party data dependencies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e171800b-e22"},"title":"Sr. Product Manager, Dialpad Support","description":"<p>About Dialpad</p>\n<p>Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.</p>\n<p>More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.</p>\n<p>We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.</p>\n<p>Visit dialpad.com to learn more.</p>\n<p>Being a Dialer</p>\n<p>At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.</p>\n<p>We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.</p>\n<p>We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.</p>\n<p>We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.</p>\n<p>Your role</p>\n<p>As a Senior Product Manager, you’ll lead the strategy, roadmap, and delivery of our AI-powered contact center solution, Dialpad Support.</p>\n<p>From conception to launch, you’ll work closely with Engineering and Design to develop capabilities that shape how Dialpad’s customers provide services to their users (e.g., support, hotlines, etc.).</p>\n<p>By collaborating with marketing, sales, and CX, you’ll drive adoption and engagement with your product, ultimately helping every business deliver world-class customer experiences.</p>\n<p>Dialpad powers modern, cloud-based omnichannel customer engagement through agent experiences, supervisor tools, routing, analytics, and quality management, all infused with AI at the core.</p>\n<p>Your work will help our customers realise measurable improvements in agent efficiency, customer satisfaction, and business scalability.</p>\n<p>This position reports to our Product Management VP and has the opportunity to be based in our Austin Office.</p>\n<p>What you’ll do</p>\n<ul>\n<li>Own product strategy and roadmap for the contact centre business line, defining what to build, when to do it, and why it matters.</li>\n</ul>\n<ul>\n<li>Develop a deep understanding of customer pain points and business opportunities across industries, segments, and geographies through research, data analysis, and direct engagement to inform and support your product decisions and guide prioritisation.</li>\n</ul>\n<ul>\n<li>Lead the ideation, design, specification, development, and release of solutions through the entire project lifecycle, leveraging strong working relationships with Engineering, Design, Marketing, and Sales.</li>\n</ul>\n<ul>\n<li>Maintain the quality of your product by identifying product and technical issues and actively developing and tracking solutions for a product line used by thousands of agents and supervisors every day.</li>\n</ul>\n<ul>\n<li>Measure your impact through quantitative and qualitative data, connecting your work to the business outcomes that customers care about most.</li>\n</ul>\n<ul>\n<li>Champion your product, both externally and internally, to generate excitement and ensure alignment, including customer briefings and roadmap discussions.</li>\n</ul>\n<ul>\n<li>Approach your role with a growth mindset and a willingness to roll up your sleeves and solve problems as they arise.</li>\n</ul>\n<ul>\n<li>Balance short-term customer asks with long-term platform scalability and architectural integrity.</li>\n</ul>\n<ul>\n<li>Monitor the competitive landscape to inform differentiation and positioning.</li>\n</ul>\n<p>Skills you’ll bring</p>\n<ul>\n<li>8+ years of experience building a B2B SaaS product.</li>\n</ul>\n<ul>\n<li>Strong understanding of contact centre workflows (agents, supervisors, routing, IVR, reporting, WFM, QA, or AI-driven capabilities).</li>\n</ul>\n<ul>\n<li>Proven ability to lead complex products with multiple stakeholders and dependencies.</li>\n</ul>\n<ul>\n<li>Experience working closely with engineering teams on technically sophisticated systems (APIs, real-time systems, data pipelines).</li>\n</ul>\n<ul>\n<li>Fluency in AI systems and a passion for applying this technology both within the Dialpad product and to improve your daily work.</li>\n</ul>\n<ul>\n<li>Data-driven mindset with the ability to define KPIs and make informed trade-offs.</li>\n</ul>\n<ul>\n<li>Excellent communication skills , able to influence without authority and clearly articulate decisions.</li>\n</ul>\n<ul>\n<li>Comfort operating in ambiguity and driving clarity in fast-evolving environments.</li>\n</ul>\n<ul>\n<li>Bachelor’s degree or equivalent practical experience.</li>\n</ul>\n<p>Why Join Dialpad</p>\n<p>Work at the centre of the AI transformation in business communications</p>\n<p>Build and ship agentic AI products that are redefining how companies operate</p>\n<p>Join a team where AI amplifies every employee’s impact</p>\n<p>Competitive salary, comprehensive benefits, and real opportunities for growth</p>\n<p>We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.</p>\n<p>We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.</p>\n<p>Our exceptional culture, repeatedly recognised as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.</p>\n<p>Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.</p>\n<p>Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.</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_e171800b-e22","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8398529002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["8+ years of experience building a B2B SaaS product","Strong understanding of contact centre workflows","Proven ability to lead complex products with multiple stakeholders and dependencies","Experience working closely with engineering teams on technically sophisticated systems","Fluency in AI systems"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:45.269Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"8+ years of experience building a B2B SaaS product, Strong understanding of contact centre workflows, Proven ability to lead complex products with multiple stakeholders and dependencies, Experience working closely with engineering teams on technically sophisticated systems, Fluency in AI systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc923f59-e03"},"title":"Senior Data Engineering Analyst","description":"<p>ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You&#39;ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won&#39;t just contribute. You&#39;ll make things happen–fast.</p>\n<p>We&#39;re seeking a Senior Data Systems Analyst to become the expert on our company data pipeline,the system that ingests, processes, and profiles millions of company records that power our customers&#39; go-to-market strategies. In this role, you&#39;ll build deep expertise in how our company data flows from acquisition through profiling and output. You&#39;ll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure.</p>\n<p>As you build mastery of our systems, you&#39;ll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving. This isn&#39;t about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.</p>\n<p>You&#39;ll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you&#39;ll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.</p>\n<p><strong>Who You Are</strong></p>\n<p>Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You&#39;ve worked with data pipelines, ETL systems, or data processing infrastructure,maybe you&#39;ve improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.</p>\n<p>Opinionated Technical Contributor: You don&#39;t just execute,you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers.</p>\n<p>Growth-Oriented Problem Solver: You&#39;re excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You&#39;ve tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.</p>\n<p>Analytical and Hands-On: You&#39;re equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what&#39;s really happening. You dig into details when needed and know when to zoom out to see the bigger picture.</p>\n<p>Clear Communicator: You can explain technical complexity to non-technical audiences. You&#39;ve worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.</p>\n<p>Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren&#39;t always well-defined. You maintain momentum and quality even when the path forward isn&#39;t perfectly clear.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You&#39;ll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth.</p>\n<p>As you gain mastery and systems stabilize, you&#39;ll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.</p>\n<p><strong>Build Deep Pipeline &amp; Systems Expertise</strong></p>\n<ul>\n<li>Master our company data pipeline architecture,how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect</li>\n</ul>\n<ul>\n<li>Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system</li>\n</ul>\n<ul>\n<li>Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact</li>\n</ul>\n<ul>\n<li>Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale</li>\n</ul>\n<p><strong>Contribute to Pipeline Evolution &amp; 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We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.</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_f58554b8-c3f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Charlotte Tilbury Beauty","sameAs":"https://www.charlottetilbury.com/","logo":"https://logos.yubhub.co/charlottetilbury.com.png"},"x-apply-url":"https://apply.workable.com/j/A1EAD29462","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["digital project management","translations or localisation project management","workflow platforms","process improvements","automation or AI-enabled workflows","budget management","cross-functional dependencies","team leadership","project management systems"],"x-skills-preferred":[],"datePosted":"2026-03-20T16:14:02.349Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Beauty","skills":"digital project management, translations or localisation project management, workflow platforms, process improvements, automation or AI-enabled workflows, budget management, cross-functional dependencies, team leadership, project management systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3fce9068-f55"},"title":"SAP Business Cutover Project Manager","description":"<p><strong>Senior SAP Business Cutover Project Manager</strong></p>\n<p>Lead the end-to-end business cutover process for an SAP S/4 global programme, ensuring smooth transition from legacy operations to new systems. 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You&#39;ll drive strategic initiatives across inference runtime and accelerator performance—coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li><strong>Systems Integration &amp; Coordination</strong>: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.</li>\n<li><strong>Performance &amp; Efficiency:</strong> Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. 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Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems</li>\n<li>Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.</li>\n<li>Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives</li>\n<li>Have strong stakeholder management skills and can build trust with both technical and non-technical partners</li>\n<li>Are comfortable navigating competing priorities and using data to drive technical decisions</li>\n<li>Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance</li>\n<li>Thrive in fast-paced environments and can balance strategic planning with tactical execution</li>\n<li>Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the</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_459d7a0d-23e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5107763008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000 - $365,000USD","x-skills-required":["technical program management","inference systems","compilers","hardware accelerators","cross-functional initiatives","model launches","cross-platform dependencies","reliability","performance metrics","capacity gains","efficiency wins","runtime","accelerator layers","launch timelines","smooth handoffs","strategic planning","inference deployment roadmap","engineering leadership","prioritisation","dependencies","visibility","upcoming changes","organisational impact","stakeholder communication","requirements","constraints","technical complexities","clear updates","leadership","alignment","priorities","timelines","process improvement","inefficiencies","workflows","systematic improvements","metrics","dashboards","infrastructure health","capacity utilisation","deployment success rates"],"x-skills-preferred":["infrastructure scaling initiatives","hardware integrations","deployment governance","fast-paced environments","strategic planning","tactical execution","AI infrastructure","large language models"],"datePosted":"2026-03-08T13:48:59.030Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, inference systems, compilers, hardware accelerators, cross-functional initiatives, model launches, cross-platform dependencies, reliability, performance metrics, capacity gains, efficiency wins, runtime, accelerator layers, launch timelines, smooth handoffs, strategic planning, inference deployment roadmap, engineering leadership, prioritisation, dependencies, visibility, upcoming changes, organisational impact, stakeholder communication, requirements, constraints, technical complexities, clear updates, leadership, alignment, priorities, timelines, process improvement, inefficiencies, workflows, systematic improvements, metrics, dashboards, infrastructure health, capacity utilisation, deployment success rates, infrastructure scaling initiatives, hardware integrations, deployment governance, fast-paced environments, strategic planning, tactical execution, AI infrastructure, large language models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_24e1a3a8-cac"},"title":"Senior Manager, Ads Revenue","description":"<p><strong>Senior Manager, Ads Revenue</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Finance</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$216K – $240K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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