{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/ai-ml-tooling"},"x-facet":{"type":"skill","slug":"ai-ml-tooling","display":"AI/ML tooling","count":3},"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_f9cd8d0e-fae"},"title":"Product Manager - Data Platform Studio","description":"<p><strong>Mission Statement</strong></p>\n<p>The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.</p>\n<p><strong>About the Team</strong></p>\n<p>We are looking for a passionate Product Manager to join Spotify’s Data Platform Studio. Data Platform’s mission is to enable the application of data in an intuitive and efficient way,helping Spotify extract value from data at scale.</p>\n<p>Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, and analysts who build Spotify’s products. With AI agents increasingly writing data pipelines and powering personalization, this is one of the most consequential infrastructure domains at Spotify.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Understand the needs of Spotify’s data community,including engineers, analysts, data scientists, ML engineers, and AI agents,and prioritize the most impactful problems to solve</li>\n</ul>\n<ul>\n<li>Define and drive the strategy and roadmap for your product area, connecting it to the broader Platform and company strategy</li>\n</ul>\n<ul>\n<li>Evaluate solutions across build, buy, or partner approaches to improve how Spotify works with data</li>\n</ul>\n<ul>\n<li>Define success metrics and track adoption, creating a continuous loop of learning and iteration</li>\n</ul>\n<ul>\n<li>Collaborate closely with engineering, design, and data science to deliver intuitive, high-impact solutions</li>\n</ul>\n<ul>\n<li>Build strong relationships with internal teams to gather feedback and co-evolve tooling and capabilities</li>\n</ul>\n<ul>\n<li>Influence stakeholders across the studio and company to align on direction and priorities</li>\n</ul>\n<ul>\n<li>Stay current with trends in data platforms, analytics, and AI/ML tooling</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>You have 2+ years of product management experience, ideally in data infrastructure, developer tools, or platform products</li>\n</ul>\n<ul>\n<li>You have a technical background, such as a degree in Computer Science/Engineering or prior hands-on engineering experience</li>\n</ul>\n<ul>\n<li>You are experienced in working with cross-functional teams across engineering, design, and data disciplines</li>\n</ul>\n<ul>\n<li>You know how to translate complex technical concepts into clear product direction and strategy</li>\n</ul>\n<ul>\n<li>You have a strong systems-thinking mindset and can connect workflows, platforms, and business needs</li>\n</ul>\n<ul>\n<li>You care deeply about the experience of people working with data and strive to make their workflows better</li>\n</ul>\n<ul>\n<li>You are curious about AI and excited about its impact on data ecosystems</li>\n</ul>\n<ul>\n<li>You communicate with clarity, bring people together, and build alignment across different audiences</li>\n</ul>\n<p><strong>Where You&#39;ll Be</strong></p>\n<ul>\n<li>This role is based in London, Stockholm, or Toronto</li>\n</ul>\n<ul>\n<li>We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.</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_f9cd8d0e-fae","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/bdb9a046-1f76-46ad-a31b-ce7dd2badcd9","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data infrastructure","developer tools","platform products","product management","data science","engineering","design","AI/ML tooling"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:16:33.435Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data infrastructure, developer tools, platform products, product management, data science, engineering, design, AI/ML tooling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c8c30607-84a"},"title":"Product Manager - Data Platform Studio","description":"<p>The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. We are looking for a passionate Product Manager to join Spotify&#39;s Data Platform Studio. Data Platform&#39;s mission is to enable the application of data in an intuitive and efficient way,helping Spotify extract value from data at scale.</p>\n<p>Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, and analysts who build Spotify&#39;s products. With AI agents increasingly writing data pipelines and powering personalization, this is one of the most consequential infrastructure domains at Spotify.</p>\n<p>As a Product Manager on the Data Platform team, you will be responsible for defining and driving the strategy and roadmap for your product area, connecting it to the broader Platform and company strategy. You will evaluate solutions across build, buy, or partner approaches to improve how Spotify works with data. You will define success metrics and track adoption, creating a continuous loop of learning and iteration.</p>\n<p>Collaboration is key to success in this role. You will work closely with engineering, design, and data science to deliver intuitive, high-impact solutions. You will build strong relationships with internal teams to gather feedback and co-evolve tooling and capabilities. You will influence stakeholders across the studio and company to align on direction and priorities.</p>\n<p>To be successful in this role, you will need to have a strong understanding of data platforms, analytics, and AI/ML tooling. You will need to be able to communicate complex technical concepts into clear product direction and strategy. You will need to have a strong systems-thinking mindset and be able to connect workflows, platforms, and business needs.</p>\n<p>If you are passionate about data and want to join a team that is shaping the future of music streaming, please apply!</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_c8c30607-84a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/03437e2a-2d5e-4593-9e97-11271014932e","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data platforms","analytics","AI/ML tooling","product management","data infrastructure","developer tools","platform products"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:16:18.514Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data platforms, analytics, AI/ML tooling, product management, data infrastructure, developer tools, platform products"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9e898a04-26d"},"title":"Production Engineer, Support tooling (Tooling and Frameworks)","description":"<p>The Senior Production Engineering team sits at the heart of CoreWeave&#39;s reliability efforts. In this role, you&#39;ll partner closely with our Support/CX teams to build, operate, and evolve internal tooling that enables a &quot;Direct-to-Expert&quot; support model at scale.</p>\n<p>You&#39;ll define and ship AI-assisted workflows, self-service diagnostics, and platform integrations that reduce time-to-resolution and improve customer experience across our cloud.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design, build, and own support-facing tools for case triage, intelligent routing, and expert engagement, integrating with incident and change management workflows.</li>\n</ul>\n<ul>\n<li>Develop AI-powered assistants and automations that accelerate root-cause discovery, knowledge retrieval, and resolution quality.</li>\n</ul>\n<ul>\n<li>Create and maintain dashboards, alerts, and signals that surface tooling issues early; integrate observability into new tooling to reduce MTTR.</li>\n</ul>\n<ul>\n<li>Build self-service and guided diagnostics that empower Support/CX to resolve common issues and collect high-quality context for escalations.</li>\n</ul>\n<ul>\n<li>Codify reliability and support practices into services, APIs, and Kubernetes-native controllers/operators where appropriate.</li>\n</ul>\n<ul>\n<li>Partner with engineering leadership and internal stakeholders to prioritise roadmap initiatives, land adoption, and measure business impact.</li>\n</ul>\n<ul>\n<li>Participate in an on-call rotation for the tooling you own.</li>\n</ul>\n<p>Minimum qualifications include:</p>\n<ul>\n<li>4+ years of software or infrastructure engineering experience building and operating production services.</li>\n</ul>\n<ul>\n<li>Proficiency in Go or Python (or equivalent experience).</li>\n</ul>\n<ul>\n<li>Strong fundamentals in Linux, containers, and Kubernetes; comfortable debugging in distributed systems.</li>\n</ul>\n<ul>\n<li>Experience with observability (metrics/logs/traces) and using data to improve reliability and support outcomes.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with incident management and steady-state operational excellence (e.g., progressive delivery, testing strategies, error budgets, fault-tolerant design).</li>\n</ul>\n<ul>\n<li>Comfort collaborating with multiple stakeholders (Support/CX, Product, SRE, and service owners).</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Experience integrating or building support/operations tooling (e.g., ticketing/incident systems, status page, knowledge management, chat/alerting integrations).</li>\n</ul>\n<ul>\n<li>Experience automating manual workflows and stitching together productivity platforms.</li>\n</ul>\n<ul>\n<li>Familiarity with AI/ML tooling for retrieval, summarization, or copilot-style assistance.</li>\n</ul>\n<ul>\n<li>Experience codifying operational practices into Kubernetes controllers, operators, or platform services.</li>\n</ul>\n<p>The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data center locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</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_9e898a04-26d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4617128006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,000 to $204,000","x-skills-required":["Go","Python","Linux","containers","Kubernetes","observability","incident management","operational excellence"],"x-skills-preferred":["AI/ML tooling","ticketing/incident systems","status page","knowledge management","chat/alerting integrations","automating manual workflows","productivity platforms"],"datePosted":"2026-04-18T15:48:08.984Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Python, Linux, containers, Kubernetes, observability, incident management, operational excellence, AI/ML tooling, ticketing/incident systems, status page, knowledge management, chat/alerting integrations, automating manual workflows, productivity platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139000,"maxValue":204000,"unitText":"YEAR"}}}]}