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You&#39;ll develop deep expertise in fraud data, detection performance, and client impact, turning insights into measurable reductions in fraud losses and friction while improving controls and decisioning.</p>\n<p>As our Manager, Fraud Analytics, you will:</p>\n<ul>\n<li>Define requirements, manage delivery cadence, document methodologies, and ensure controls/traceability across the analytics lifecycle</li>\n<li>Analyze fraud trends, typologies, and emerging threats using internal/external data to identify root causes and actionable interventions</li>\n<li>Monitor and improve key metrics (e.g., fraud loss rate, detection/true positive rate, false positives, client friction, alert volumes, operational capacity impacts)</li>\n<li>Recommend and test changes to rules, thresholds, segmentation, and model features</li>\n<li>Produce clear recommendations for Fraud Management, Operations, Product, Digital, and Technology, support implementation and post-change validation</li>\n<li>Create concise dashboards and narratives that connect fraud decisions to client experience and business outcomes</li>\n<li>Ensure analyses and changes are well-controlled, auditable, and aligned to relevant policies, model risk expectations, and regulatory considerations</li>\n</ul>\n<p>You&#39;ll likely have the following qualifications to succeed in this role:</p>\n<ul>\n<li>Analytics experience in fraud, financial crime, risk analytics, or payments (banking preferred)</li>\n<li>Advanced capability in SAS/SQL and Python or R</li>\n<li>Proven ability to translate complex analysis into business decisions and influence cross-functional partners without formal authority</li>\n<li>Experience with card, digital payments, digital authentication, account takeover, application fraud, or transaction monitoring</li>\n<li>Dashboarding experience (e.g., QlikSense, Tableau, Power BI)</li>\n<li>Analytical depth, curiosity, and structured problem-solving</li>\n<li>Data storytelling and stakeholder management</li>\n<li>Pragmatic, outcome-driven mindset</li>\n<li>Strong attention to detail and control discipline</li>\n<li>Collaborative working style</li>\n</ul>\n<p>As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. 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We bring Claude to life by serving our models via the industry&#39;s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.</p>\n<p>The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. 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However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: 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.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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As a key member of our team, you will be responsible for designing and building the future of our fulfillment network. 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This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.</p>\n<p>You’ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.</p>\n<p><strong>What will I be doing?</strong></p>\n<ul>\n<li>Build Revenue-Impacting ML Systems</li>\n<li>Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)</li>\n<li>Productionize models into operational systems (Salesforce, Marketo, outbound workflows)</li>\n<li>Monitor model performance and iterate for measurable business lift</li>\n<li>Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)</li>\n<li>Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)</li>\n</ul>\n<p>You don’t just build models - you ensure they change behavior.</p>\n<p><strong>Own End-to-End Data Products</strong></p>\n<ul>\n<li>Translate ambiguous business problems into clear, measurable objectives</li>\n<li>Define GTM data products vision, success metrics, and roadmap</li>\n<li>Ensure integration into existing workflows and systems</li>\n<li>Lead stakeholder alignment and change management</li>\n<li>Secure buy-in from system owners before replacing or enhancing existing solutions</li>\n</ul>\n<p>You operate as a mini GM for your data products.</p>\n<p><strong>Architect Scalable Data Foundations</strong></p>\n<ul>\n<li>Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure</li>\n<li>Ensure data quality, governance, and reproducibility</li>\n<li>Elevate the team’s standards for experimentation, documentation, and knowledge sharing</li>\n<li>Push adoption of new tools and AI capabilities where appropriate</li>\n</ul>\n<p>You raise the technical bar for the GTM organization.</p>\n<p><strong>What impact might I have?</strong></p>\n<p>Within 6-12 months, you might:</p>\n<ul>\n<li>Launch predictive models that materially improve conversion, expansion, or retention</li>\n<li>Reduce inefficiencies in Sales workflows through automation</li>\n<li>Help leadership make investment decisions backed by rigorous data science</li>\n<li>Influence GTM strategy through quantitative insight and modeling</li>\n</ul>\n<p>Success is measured in business outcomes - not dashboards built.</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_27ecbf0a-523","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7652268","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$197,600 - $246,713","x-skills-required":["Expert-level SQL","Advanced Python or R for modeling and experimentation","Strong foundation in statistics and experimental design","Predictive modeling","Feature engineering"],"x-skills-preferred":["Causal inference or uplift modeling","Model deployment & monitoring"],"datePosted":"2026-04-18T15:55:52.628Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Expert-level SQL, Advanced Python or R for modeling and experimentation, Strong foundation in statistics and experimental design, Predictive modeling, Feature engineering, Causal inference or uplift modeling, Model deployment & monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":197600,"maxValue":246713,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_320d2ae6-c73"},"title":"Sr. Data Science Manager - Ads Marketplace","description":"<p>We&#39;re seeking a results-oriented and strategically minded Data Science Leader to join our Ads Marketplace team. 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Generate and use team insights to set and prioritise longer-term goals</li>\n<li>Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance</li>\n<li>Continually develop &amp; execute on a Data Science roadmap and vision for your team</li>\n<li>Stay abreast of industry best practices and emerging technologies in the field of advertising and data science</li>\n<li>Foster a culture of innovation, collaboration, and technical excellence</li>\n<li>Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>PhD or Master&#39;s degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields</li>\n<li>4+ years of management experience. 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We are proud to have the support of the best investors in the game who believe in our mission, solutions and people.</p>\n<p>The Opportunity: Flexport is building the future of global fulfillment,and we’re looking for a Sr. Manager, Strategic Initiatives who wants to be at the center of that transformation. This is not a traditional management role. You will be the architect of tomorrow’s Flexport Fulfillment network: designing processes, building products, and creating the standards that will define how we operate at scale.</p>\n<p>You’ll sit at the intersection of operations, product, and technology, working across all functions to identify gaps, design solutions, and bring them to life. We want someone who thrives in ambiguity, loves solving highly technical problems, and isn’t afraid to get hands-on,whether it’s building a new workflow in SQL, prototyping a tool, or architecting the next phase of our operating model.</p>\n<p>If you want to make a lasting impact by building something from the ground up,and have the technical, operational, and strategic chops to do it,this is the role for you.</p>\n<p>Responsibilities: Architect the Future of Fulfillment</p>\n<ul>\n<li>Design, standardize, and codify the processes, products, and tools that will power Flexport’s next generation fulfillment network.</li>\n<li>Define operating models that can scale globally, balancing efficiency, cost, speed, and customer experience.</li>\n</ul>\n<p>Build, Not Just Manage</p>\n<ul>\n<li>Own initiatives end-to-end: from diagnosing the problem, designing the solution, building prototypes, and driving implementation.</li>\n<li>Develop tooling, dashboards, and models directly,leveraging SQL, Python, BI platforms, and workflow automation.</li>\n</ul>\n<p>Leverage Data for Strategic Planning</p>\n<ul>\n<li>Use data to uncover bottlenecks, quantify opportunities, and make recommendations that drive millions in cost savings and unlock new service capabilities.</li>\n<li>Build forecasting and scenario planning models to guide long-term network design and capacity planning.</li>\n</ul>\n<p>Be a Cross-Functional Force Multiplier</p>\n<ul>\n<li>Partner with engineering, product, operations, finance, and commercial teams to align on priorities, build solutions, and scale them across the network.</li>\n<li>Translate operational pain points into product requirements and ensure adoption of new tools and processes.</li>\n</ul>\n<p>Standardize the Network</p>\n<ul>\n<li>Establish and roll out SOPs, reporting cadences, and KPIs that become the backbone of Fulfillment execution.</li>\n<li>Drive governance and accountability around execution, ensuring every site runs on the same playbook.</li>\n</ul>\n<p>Drive Strategic Initiatives at Scale</p>\n<ul>\n<li>Lead high-impact, white-space projects (automation, robotics, B2B/Retail compliance, international expansion) that redefine the limits of what Flexport Fulfillment can deliver.</li>\n<li>Develop and execute multi-year roadmaps in partnership with senior leadership.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7–10+ years of experience in fulfillment, logistics, supply chain, or operations strategy,ideally with direct exposure to high-volume networks.</li>\n<li>Extremely strong technical skillset: SQL (expert), Excel/Google Sheets (advanced), BI tools (Looker, Tableau, PowerBI), and preferably Python or R for modeling and automation.</li>\n<li>A proven record of designing and implementing scalable processes/products that delivered measurable business impact.</li>\n<li>Strong strategic thinking, with the ability to connect day-to-day execution to P&amp;L drivers and long-term vision.</li>\n<li>Entrepreneurial mindset: thrives in ambiguity, comfortable building from scratch, and naturally biased toward action.</li>\n<li>Executive-level communication skills, with the ability to influence stakeholders across all levels of the organization.</li>\n<li>Bonus: Experience working with robotics, warehouse automation, or building new fulfillment products (B2B, Prep, Returns, Retail compliance).</li>\n</ul>\n<p>Why This Role is Different: This role is one of the most independent, entrepreneurial, and impactful within Flexport Fulfillment. You won’t just manage a process,you’ll design and build the future of how we fulfill, scale, and serve customers. Your fingerprints will be on everything from the technology we use to the services we offer.</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_4b3d35e5-ada","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/7238381","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Excel/Google Sheets","BI tools","Python or R","Supply chain management","Operations strategy","Fulfillment","Logistics"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:34.159Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Logistics","skills":"SQL, Excel/Google Sheets, BI tools, Python or R, Supply chain management, Operations strategy, Fulfillment, Logistics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9be280f4-cbc"},"title":"Software Engineer, Data Infrastructure","description":"<p>We&#39;re looking for an engineer to join our small, high-impact team responsible for architecting and scaling the core infrastructure behind distributed training pipelines, multimodal data catalogs, and intelligent processing systems that operate over petabytes of data.</p>\n<p>As a software engineer on our data infrastructure team, you&#39;ll design, build, and operate scalable, fault-tolerant infrastructure for LLM Research: distributed compute, data orchestration, and storage across modalities. You&#39;ll develop high-throughput systems for data ingestion, processing, and transformation , including training data catalogs, deduplication, quality checks, and search. You&#39;ll also build systems for traceability, reproducibility, and robust quality control at every stage of the data lifecycle.</p>\n<p>You&#39;ll collaborate with research teams to unlock new features, improve data quality, and accelerate training cycles. You&#39;ll implement and maintain monitoring and alerting to support platform reliability and performance.</p>\n<p>If you&#39;re excited by distributed systems, large-scale data mining, open-source tools like Spark, Kafka, Beam, Ray, and Delta Lake, and enjoy building from the ground up, we&#39;d love to hear from you.</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_9be280f4-cbc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5013919008","x-work-arrangement":"onsite","x-experience-level":"entry|mid|senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD","x-skills-required":["backend language (Python or Rust)","distributed compute frameworks (Apache Spark or Ray)","cloud infrastructure","data lake architectures","batch and streaming pipelines"],"x-skills-preferred":["Kafka","dbt","Terraform","Airflow","web crawler","deduplication","data mining","search","file formats and storage systems"],"datePosted":"2026-04-18T15:54:00.309Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend language (Python or Rust), distributed compute frameworks (Apache Spark or Ray), cloud infrastructure, data lake architectures, batch and streaming pipelines, Kafka, dbt, Terraform, Airflow, web crawler, deduplication, data mining, search, file formats and storage systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d29bce76-4c3"},"title":"Senior Data Scientist AI Tooling","description":"<p>Job Description:</p>\n<p>We&#39;re looking for a Senior Data Scientist to join our Research, Analytics &amp; Data Science (RAD) team. The RAD team turns insight into action by uncovering customer, product, and business insights and translating them into tools and decision systems embedded directly into GTM workflows.</p>\n<p>AI has unlocked an entirely new generation of internal tools for our GTM teams. We&#39;re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research &amp; summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization &amp; follow-ups.</li>\n</ul>\n<ul>\n<li>Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.</li>\n</ul>\n<ul>\n<li>Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.</li>\n</ul>\n<ul>\n<li>Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).</li>\n</ul>\n<ul>\n<li>Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Proven track record of applied data science with measurable GTM impact - you&#39;ve shipped models or tools that moved metrics like conversion, cycle time, or retention.</li>\n</ul>\n<ul>\n<li>LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.</li>\n</ul>\n<ul>\n<li>Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.</li>\n</ul>\n<ul>\n<li>Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.</li>\n</ul>\n<ul>\n<li>Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and equity in a fast-growing start-up</li>\n</ul>\n<ul>\n<li>Unlimited access to Claude Code and best-in-class AI tools; experimentation &amp; building is encouraged &amp; celebrated.</li>\n</ul>\n<ul>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen</li>\n</ul>\n<ul>\n<li>Regular compensation reviews - we reward great work</li>\n</ul>\n<ul>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents</li>\n</ul>\n<ul>\n<li>Open vacation policy and flexible holidays so you can take time off when you need it</li>\n</ul>\n<ul>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones</li>\n</ul>\n<ul>\n<li>MacBooks are our standard, but we&#39;re happy to get you whatever equipment helps you get your job done</li>\n</ul>\n<p>Policies:</p>\n<ul>\n<li>Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.</li>\n</ul>\n<ul>\n<li>We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.</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_d29bce76-4c3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7606638","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["applied data science","LLM/ML application experience","SQL skills","Python or R","orchestration tools","strong communication and empathy","collaborative product mindset"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:37.527Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied data science, LLM/ML application experience, SQL skills, Python or R, orchestration tools, strong communication and empathy, collaborative product mindset"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d50772ab-afe"},"title":"Staff / Senior Software Engineer, Cloud Inference","description":"<p>We are seeking a Staff / Senior Software Engineer to join our Cloud Inference team. The successful candidate will design and build infrastructure that serves Claude across multiple cloud service providers (CSPs), accounting for differences in compute hardware, networking, APIs, and operational models.</p>\n<p>The ideal candidate will have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users. They will also have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models</li>\n</ul>\n<ul>\n<li>Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms</li>\n</ul>\n<ul>\n<li>Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions</li>\n</ul>\n<ul>\n<li>Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity</li>\n</ul>\n<ul>\n<li>Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads</li>\n</ul>\n<ul>\n<li>Optimise inference cost and performance across providers,designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region</li>\n</ul>\n<ul>\n<li>Contribute to inference features that must work consistently across all platforms</li>\n</ul>\n<ul>\n<li>Analyse observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users</li>\n</ul>\n<ul>\n<li>Experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration</li>\n</ul>\n<ul>\n<li>Strong interest in inference</li>\n</ul>\n<ul>\n<li>Thrive in cross-functional collaboration with both internal teams and external partners</li>\n</ul>\n<ul>\n<li>Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems</li>\n</ul>\n<ul>\n<li>Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work</li>\n</ul>\n<ul>\n<li>Pick up slack, even when it goes outside your job description</li>\n</ul>\n<p>Preferred skills:</p>\n<ul>\n<li>Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings</li>\n</ul>\n<ul>\n<li>A background in building platform-agnostic tooling or abstraction layers that work across cloud 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Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged.</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_e665d5c9-2f4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Rigetti Computing","sameAs":"https://www.rigetti.com","logo":"https://logos.yubhub.co/rigetti.com.png"},"x-apply-url":"https://jobs.lever.co/rigetti/7eb798d5-75e6-4bf4-893e-f9fe9d8a169e","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Physics","Engineering","General-purpose electronic test equipment","Sub-Kelvin cryogenic systems","High-availability laboratory or industrial equipment","Scientific instruments or complex electro-mechanical systems","Vacuum systems","Statistical methods for test and validation","Troubleshooting","Documentation","Communication","External vendors and partners"],"x-skills-preferred":["Dilution refrigerators or similar ultra-low-temperature cryogenic systems","Python or related languages"],"datePosted":"2026-04-17T12:53:45.081Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fremont"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Physics, Engineering, General-purpose electronic test equipment, Sub-Kelvin cryogenic systems, High-availability laboratory or industrial equipment, Scientific instruments or complex electro-mechanical systems, Vacuum systems, Statistical methods for test and validation, Troubleshooting, Documentation, Communication, External vendors and partners, Dilution refrigerators or similar ultra-low-temperature cryogenic systems, Python or related languages"}]}