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We want AI to be safe and beneficial for our users and for society as a whole.\\n\\nAbout the role\\n\\nAnthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI&#39;s benefits across all sectors of the economy.\\n\\nThis role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic&#39;s ambitions.\\n\\nResponsibilities\\n\\n- Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.\\n\\n- Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.\\n\\n- Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.\\n\\n- Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.\\n\\n- Mentor and develop Staff-level engineers across the org.\\n\\n- Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.\\n\\nYou may be a good fit if you:\\n\\n- Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.\\n\\n- Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.\\n\\n- Drive the highest-leverage technical outcomes without formal authority,you lead through influence, quality of thinking, and trust.\\n\\n- Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.\\n\\n- Are highly effective across org boundaries,you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.\\n\\n- Bring strong product instincts and a craftsperson&#39;s approach to API design; you communicate clearly with both technical and non-technical audiences.\\n\\nTechnical Stack\\n\\n- Languages: Python, TypeScript\\n\\n- Frameworks: FastAPI, React\\n\\n- Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure\\n\\n- Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore\\n\\n- Tools: Feature Flagging, Prometheus, Grafana, Datadog\\n\\nDeadline to apply: None. Applications will be reviewed on a rolling basis.\\n\\nLocation Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team.\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $405,000-$485,000 USD\\n\\n</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_7a3f562b-768","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/5134895008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["Python","TypeScript","FastAPI","React","GCP","Kubernetes","Cloud Run","AWS","Azure","PostgreSQL","Vector Stores","Firestore","Feature Flagging","Prometheus","Grafana","Datadog"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:15.123Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, FastAPI, React, GCP, Kubernetes, Cloud Run, AWS, Azure, PostgreSQL, Vector Stores, Firestore, Feature Flagging, Prometheus, Grafana, Datadog","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18b6c565-7bb"},"title":"Sr. Software Development Engineer in Test","description":"<p>About Dialpad ---------------- 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 --------------- 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 -------- As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services.</p>\n<p>You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions.</p>\n<p>You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.</p>\n<p>In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.</p>\n<p>This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.</p>\n<p>What you’ll do ------------</p>\n<ul>\n<li>Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.</li>\n<li>Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.</li>\n<li>Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.</li>\n<li>Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.</li>\n<li>Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (</li>\n<li>Build tooling for LLM observability and debugging, including prompt tracing and response analysis.</li>\n<li>Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.</li>\n<li>Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).</li>\n<li>Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.</li>\n<li>Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).</li>\n<li>Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.</li>\n<li>Mentor engineers and contribute to raising the bar on AI quality engineering practices.</li>\n</ul>\n<p>What you’ll bring --------------</p>\n<ul>\n<li>5+ years of experience in software engineering or SDET roles with an emphasis on software development.</li>\n<li>Strong programming skills in Python (preferred), Java, or JavaScript.</li>\n<li>Experience testing distributed, cloud-native SaaS systems and APIs.</li>\n<li>Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.</li>\n<li>Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).</li>\n<li>Understanding of non-deterministic systems and probabilistic testing approaches.</li>\n<li>Experience building test frameworks and scalable automation systems.</li>\n<li>Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).</li>\n<li>Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).</li>\n<li>Strong collaboration skills with the ability to work across distributed teams and time zones.</li>\n<li>Bachelor’s degree in Computer Science or equivalent practical experience.</li>\n</ul>\n<p>Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.</p>\n<ul>\n<li>Frontend: Vue3, React.</li>\n<li>AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.</li>\n</ul>\n<p>For exceptional talent based in British Columbia, Canada the target base salary range for this position is $150,500-$175,250 CAD.</p>\n<p>Why Join Dialpad ---------------</p>\n<ul>\n<li>Work at the center of the AI transformation in business communications.</li>\n<li>Build and ship agentic AI products that are redefining how companies operate.</li>\n<li>Join a team where AI amplifies every employee’s impact.</li>\n<li>Competitive salary, comprehensive benefits, and real opportunities for growth.</li>\n</ul>\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 recognized 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_18b6c565-7bb","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/8475155002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,500-$175,250 CAD","x-skills-required":["Python","Java","JavaScript","Test automation","Quality frameworks","Agentic AI","Voice Agent services","Orchestration flows","Agent configuration experiences","Guardian safeguards","Functional testing","Performance testing","Reliability testing","UX testing","Cloud-native SaaS systems","APIs","LLMs","AI/ML systems","Non-deterministic systems","Probabilistic testing","Test frameworks","Scalable automation systems","CI/CD pipelines","Jenkins","GitHub Actions","Collaboration","Distributed teams","Time zones","Computer Science","Google Cloud Platform","Cloud Run","App Engine","Kubernetes","Datastore","Redis","ElasticSearch","Vue3","React","LLM APIs","LiveKit","Prompt orchestration frameworks","Evaluation tooling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:44.303Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, JavaScript, Test automation, Quality frameworks, Agentic AI, Voice Agent services, Orchestration flows, Agent configuration experiences, Guardian safeguards, Functional testing, Performance testing, Reliability testing, UX testing, Cloud-native SaaS systems, APIs, LLMs, AI/ML systems, Non-deterministic systems, Probabilistic testing, Test frameworks, Scalable automation systems, CI/CD pipelines, Jenkins, GitHub Actions, Collaboration, Distributed teams, Time zones, Computer Science, Google Cloud Platform, Cloud Run, App Engine, Kubernetes, Datastore, Redis, ElasticSearch, Vue3, React, LLM APIs, LiveKit, Prompt orchestration frameworks, Evaluation tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150500,"maxValue":175250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_11a36eab-3cb"},"title":"Senior Data Engineer","description":"<p><strong>Job Description</strong></p>\n<p>Are you ready to contribute to the evolution of our data pipelines for our B2C division? At Future, we are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us.</p>\n<p>This is an exciting opportunity for someone who excels in a creative environment, enjoys solving complex data challenges, and is eager to build impactful business insights, for this role you will directly report into the Head of Data Engineering</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop and maintain new/current features of the data platform.</li>\n<li>Responsible for delivery of development projects, including scoping, writing and sizing of stories involved.</li>\n<li>Take ownership of BAU processes, develop area specific domain mastery, and seek means to automate them or reduce their impact.</li>\n<li>Proposes and advocates for changes to reduce risk, cost and overhead.</li>\n<li>Provide appropriate documentation for pipelines developed</li>\n<li>Parameterise pipelines so configuration can be changed easily without having to perform deep changes to the codebase</li>\n<li>Apply appropriate testing principles to ensure code is fit for purpose</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure</li>\n<li>SQL development skills</li>\n<li>Experience using Dataform or dbt</li>\n<li>Demonstrated strength in data modelling, ETL development, and data warehousing</li>\n<li>Knowledge of data management fundamentals and data storage principles</li>\n<li>Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems</li>\n</ul>\n<p><strong>What&#39;s in it for you</strong></p>\n<p>The expected range for this role is £50,000 - £60,000</p>\n<p>This is a Hybrid role from our Bath Office, working three days from the office, two from home … Plus more great perks, which include;</p>\n<ul>\n<li>Uncapped leave, because we trust you to manage your workload and time</li>\n<li>When we hit our targets, enjoy a share of our profits with a bonus</li>\n<li>Refer a friend and get rewarded when they join Future</li>\n<li>Wellbeing support with access to our Colleague Assistant Programmes</li>\n<li>Opportunity to purchase shares in Future, with our Share Incentive Plan</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_11a36eab-3cb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Future","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/3535C2B9B5","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£50,000 - £60,000","x-skills-required":["Python","Google Cloud Platform","BigQuery","DataFlow","Apache Beam","Cloud Run Functions","Cloud Run","Cloud Workflows","Cloud Composure","SQL","Dataform","dbt","data modelling","ETL development","data warehousing","data management fundamentals","data storage principles","statistical models","data mining algorithms"],"x-skills-preferred":[],"datePosted":"2026-03-09T16:21:59.655Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bath"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Google Cloud Platform, BigQuery, DataFlow, Apache Beam, Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure, SQL, Dataform, dbt, data modelling, ETL development, data warehousing, data management fundamentals, data storage principles, statistical models, data mining algorithms","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":50000,"maxValue":60000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6d5e164b-74d"},"title":"Data Engineer","description":"<p><strong>Data Engineer</strong></p>\n<p>Are you ready to contribute to the evolution of our data pipelines for our B2C division? We are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us. This is an exciting opportunity for someone who grows in a creative environment, enjoys solving complex data challenges. You&#39;ll report into the Lead Data Engineer for this position and sit within the wider Data Engineer team.</p>\n<p>The Data &amp; Business Intelligence team guides our organisation to become more data-driven. Our to market changes gives us a competitive edge. By ensuring visibility of objective performance data, we empower our teams to make rapid, informed decisions that enhance overall performance.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Maintain new/current features of the data platform.</li>\n<li>Responsible for delivery of development projects.</li>\n<li>Utilise established software engineering practices and principles.</li>\n<li>Take ownership of BAU processes, develop area specific domain mastery.</li>\n<li>Ensure compliance matters are followed.</li>\n<li>Utilise CI/CD and infrastructure as code (Terraform) for rapid deployment of changes.</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure.</li>\n<li>SQL development skills.</li>\n<li>Demonstrated strength in data modelling, ETL development, and data warehousing.</li>\n<li>Knowledge of data management fundamentals and data storage principles.</li>\n<li>Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems.</li>\n</ul>\n<p><strong>What&#39;s in it for you</strong></p>\n<p>The expected range for this role is £45,000 - £50,000. This is a Hybrid role from our Bath Office, working three days from the office, two from home. 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The Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models.</p>\n<p>This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. 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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.</strong></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_39fabb7f-363","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/5134895008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000 USD","x-skills-required":["Python","TypeScript","FastAPI","React","GCP","Kubernetes","Cloud Run","AWS","Azure","PostgreSQL","Vector Stores","Firestore","Feature Flagging","Prometheus","Grafana","Datadog"],"x-skills-preferred":["Distributed systems","API architecture","Design docs","Architectural calls","Coding in critical paths"],"datePosted":"2026-03-08T14:00:58.142Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, FastAPI, React, GCP, Kubernetes, Cloud Run, AWS, Azure, PostgreSQL, Vector Stores, Firestore, Feature Flagging, Prometheus, Grafana, Datadog, Distributed systems, API architecture, Design docs, Architectural calls, Coding in critical paths","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}}]}