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You will develop a deep understanding of CoreWeave&#39;s infrastructure and services, shape architecture and tooling decisions, and partner closely with service owners to operationalise reliability through automation and paved paths rather than manual process or advocacy.</p>\n<p>Success requires the ability to pivot quickly between hot incidents, multi-team programs, and initiatives at all levels of the organisation. You will design, build, and own foundational platforms and frameworks from architecture through adoption and operation. You will lead technical strategy and execution for internal tooling that reduces manual operations, improves delivery velocity, and supports CoreWeave&#39;s revenue growth through faster, more reliable datacentre delivery.</p>\n<p>You will partner with service owners and platform teams to translate reliability and operational requirements into automation, self-service capabilities, and opinionated paved paths. 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You will ship production code, participate in on-call rotations as needed, and mentor engineers on platform ownership, operational design, and sustainable production practices.</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_6a24f057-4f1","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/4644302006","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$188,000 to $275,000","x-skills-required":["distributed systems","cloud platforms","Kubernetes","observability","incident practices","metrics","tracing","structured logs","SLIs/SLOs","PIRs"],"x-skills-preferred":["foundational internal platforms","service tiering","disaster recovery","chaos engineering","structured resilience programs"],"datePosted":"2026-04-18T15:50:55.257Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, cloud platforms, Kubernetes, observability, incident practices, metrics, tracing, structured logs, SLIs/SLOs, PIRs, foundational internal platforms, service tiering, disaster recovery, chaos engineering, structured resilience programs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":188000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_551c5e6f-7b8"},"title":"Senior Product Manager - Mission Control","description":"<p>Job Title: Senior Product Manager - Mission Control</p>\n<p>We&#39;re looking for a Senior Product Manager to own Mission Control from strategy to execution,and to build the next generation of the platform from the ground up. The tooling your users need doesn&#39;t fully exist yet, which makes this a genuinely 0-to-1 role with real stakes: what you build will be felt by nearly every team at Mercury, every single day.</p>\n<p>As part of the journey, we would expect you to:</p>\n<ul>\n<li>Own the Mission Control roadmap: Define and drive the strategy and execution plan for Mercury&#39;s internal operator platform, keeping pace with Mercury&#39;s growth and regulatory requirements.</li>\n<li>Build for the people who run Mercury: Develop deep empathy for the operators who live in Mission Control every day,payment ops, banking engineers, compliance, customer support,and translate their workflows into efficient, elegant tooling they&#39;ll rely on.</li>\n<li>Set a high quality bar for internal products: Champion Mercury&#39;s design and quality standards in internal tooling, proving that &quot;internal-facing&quot; doesn&#39;t mean second class.</li>\n<li>Leverage AI to ship and scale: Identify where AI-powered features and intelligent automation can give operators leverage,helping them work faster, catch issues sooner, and do more with less.</li>\n<li>Define controls and safety: Own the design of role-based access controls, separation of duties workflows, and audit logging that ensure safe, compliant actions across the platform.</li>\n<li>Drive cross-functional alignment: Partner with engineering, design, compliance, risk, and operations to align on priorities and ship outcomes that keep Mercury&#39;s banking* operations running at their best.</li>\n</ul>\n<p>Some things that might make you successful in a role like this:</p>\n<ul>\n<li>7+ years of product management experience, ideally in fintech or building operator-facing or internal platforms.</li>\n<li>A track record of shipping high-quality internal tools, admin experiences, or operator platforms,not just building them, but making them something teams are proud to use.</li>\n<li>Deep empathy for internal users who rely on your product to do high-stakes work every single day.</li>\n<li>Genuine excitement about AI as a product tool: you think actively about how AI can make operators faster and more effective, not just as a buzzword but as something you&#39;d build toward.</li>\n<li>Comfort navigating technical complexity,you engage deeply with engineers on systems, data flows, access control, and audit requirements without needing to write the code yourself.</li>\n<li>A strong design sensibility that extends beyond consumer products,you believe every user interface deserves thoughtfulness, even when the user sits inside the company.</li>\n<li>An excellent communicator and collaborator who thrives working across a diverse set of stakeholders and levels of seniority.</li>\n</ul>\n<p>The total rewards package at Mercury includes base salary, equity, 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’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 (any location): $200,700 - $250,900</li>\n<li>Canadian employees (any location): CAD 189,700 - 237,100</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_551c5e6f-7b8","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/5817294004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product management","fintech","operator-facing platforms","internal platforms","AI","design","engineering","compliance","risk","operations"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:45:31.703Z","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":"Product Management","industry":"Fintech","skills":"product management, fintech, operator-facing platforms, internal platforms, AI, design, engineering, compliance, risk, operations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4ecac963-34f"},"title":"Full-Stack Software Engineer, Social Products","description":"<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>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$210K – $325K • 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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Operating as a 0→1 innovation group, the team works across problem spaces to discover where advances in AI can unlock entirely new user experiences.</p>\n<p>We operate with a startup-like mindset inside OpenAI: small teams, fast iteration cycles, and a willingness to explore bold ideas, learn quickly, and pivot based on real-world signals. Our goal is to turn promising concepts into validated products that can scale to global impact.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Full-Stack Software Engineer on the Incubation team, you’ll help imagine, prototype, and build entirely new product experiences within the OpenAI ecosystem. This team moves quickly from idea to experiment to iteration, exploring multiple directions in parallel and investing deeply in the most promising opportunities.</p>\n<p>You’ll work across the stack—building frontend and backend systems, developing rapid prototypes, and collaborating closely with designers, researchers, and product partners—to bring early-stage ideas to life. This includes developing production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API, as well as designing new architectures when existing systems aren’t sufficient.</p>\n<p>We’re looking for engineers who thrive in small, nimble teams, bring creative product instincts, and pair strong execution with sound technical judgment. 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Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.</p>\n<p>Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.</p>\n<p>This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for an experienced Software Engineer to help build the core infrastructure behind OpenAI’s monetization and ads systems. In this foundational role, you’ll architect and implement distributed systems that power OpenAI’s monetization stack—focusing on reliability, performance, privacy, and large-scale operation.</p>\n<p>You’ll work across backend, systems, and platform layers to define and implement 0→1 infrastructure, partnering closely with Product, Design, and Research to shape the future of monetized AI experiences. Your work will enable both internal and external teams to build on safe, scalable, and robust monetization primitives.</p>\n<p>This role is exclusively based across our San Francisco &amp; Seattles sites. We offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and build the foundational backend and infrastructure powering OpenAI’s monetization and ads systems</li>\n</ul>\n<ul>\n<li>Architect large-scale distributed systems that meet strict requirements for reliability, privacy, security, and performance</li>\n</ul>\n<ul>\n<li>Develop APIs, infrastructure services, and internal platforms that support ads creation, delivery, measurement, and optimization</li>\n</ul>\n<ul>\n<li>Work closely with Product, Research, and Design to translate requirements into scalable technical solutions</li>\n</ul>\n<ul>\n<li>Drive 0→1 infra development through rapid prototyping, experimentation, and iterative improvements</li>\n</ul>\n<ul>\n<li>Contribute to the long-term technical strategy and roadmap for the monetization infra stack</li>\n</ul>\n<ul>\n<li>Ensure high engineering rigor through excellent testing, documentation, observability, and operational best practices</li>\n</ul>\n<ul>\n<li>Build for safety, privacy, fairness, and policy alignment from first principles</li>\n</ul>\n<ul>\n<li>Collaborate across engineering orgs to ensure the infra layer is flexible, performant, and resilient</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 10+ years of experience building and operating large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Have experience designing mission-critical systems with demanding reliability, performance, and correctness requirements</li>\n</ul>\n<ul>\n<li>Think in systems—architecture, data flows, operational concerns, observability, and long-term maintainability</li>\n</ul>\n<ul>\n<li>Are comfortable defining technical direction in ambiguous 0→1 environments</li>\n</ul>\n<ul>\n<li>Enjoy working cross-functionally to shape product requirements and system capabilities</li>\n</ul>\n<ul>\n<li>Communicate clearly, reason holistically, and make decisions grounded in user needs and long-term system health</li>\n</ul>\n<ul>\n<li>Bonus: Experience in ads systems, marketplaces, AI/ML infra, or other monetization-intensive domains</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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