{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/agent-frameworks"},"x-facet":{"type":"skill","slug":"agent-frameworks","display":"Agent Frameworks","count":23},"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_5aa5b947-f4d"},"title":"Staff Machine Learning Research Scientist/ Engineer, Agents","description":"<p>About Scale AI</p>\n<p>At Scale AI, our mission is to accelerate the development of AI applications. This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation.</li>\n<li>Contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow.</li>\n<li>A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.).</li>\n<li>At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.</li>\n<li>Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.</li>\n<li>Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.</li>\n<li>Familiarity with agentic reasoning methods such as STaR and PLANSEARCH</li>\n<li>Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range</p>\n<p>$259,200-$324,000 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_5aa5b947-f4d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4488520005","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$259,200-$324,000 USD","x-skills-required":["Pytorch","Jax","Tensorflow","LLMs","Agent frameworks","Agentic reasoning methods","Cloud technology stack"],"x-skills-preferred":["Open source LLM fine-tuning","Bespoke LLM fine-tuning projects"],"datePosted":"2026-04-18T15:59:17.656Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Pytorch, Jax, Tensorflow, LLMs, Agent frameworks, Agentic reasoning methods, Cloud technology stack, Open source LLM fine-tuning, Bespoke LLM fine-tuning projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":259200,"maxValue":324000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fb1f459e-b3a"},"title":"Machine Learning Research Scientist / Engineer, Reasoning","description":"<p>About Scale</p>\n<p>At Scale, our mission is to accelerate the development of AI applications. We&#39;re looking for a Machine Learning Research Scientist/Engineer to join our team and help us shape the future of AI.</p>\n<p>This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). You will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale&#39;s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning.</p>\n<p>Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents</li>\n<li>Shape Scale&#39;s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning</li>\n<li>Contribute to impactful research on language model reasoning</li>\n<li>Collaborate with external researchers</li>\n<li>Work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow</li>\n<li>A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.)</li>\n<li>At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning</li>\n<li>Strong written and verbal communication skills, along with the ability to work effectively across teams</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX</li>\n<li>Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents</li>\n<li>Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar</li>\n<li>Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH</li>\n<li>Proficiency in cloud-based ML development, with experience in AWS or GCP environments</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range</p>\n<p>$252,000-$315,000 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_fb1f459e-b3a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4605596005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["PyTorch","JAX","TensorFlow","Large Language Models (LLMs)","Planning Algorithms","Agentic Reasoning","Data Generation","Model Interaction","Evaluation"],"x-skills-preferred":["Agent Frameworks","Cloud-Based ML Development","AWS","GCP","STaR","PLANSEARCH"],"datePosted":"2026-04-18T15:59:07.207Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, JAX, TensorFlow, Large Language Models (LLMs), Planning Algorithms, Agentic Reasoning, Data Generation, Model Interaction, Evaluation, Agent Frameworks, Cloud-Based ML Development, AWS, GCP, STaR, PLANSEARCH","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9c235fca-4e3"},"title":"Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI","description":"<p>As a Senior/Staff Machine Learning Engineer on the General Agents team, you&#39;ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems.</p>\n<p>You will work across the full agent lifecycle,from model and system design to evaluation, deployment, and iteration,bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.</li>\n<li>Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.</li>\n<li>Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.</li>\n<li>Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.</li>\n<li>Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.</li>\n<li>Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.</li>\n<li>Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.</li>\n<li>Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.</li>\n<li>Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.</li>\n<li>Proven proficiency in Python, including writing production-quality, testable, and maintainable code.</li>\n<li>Experience building systems that integrate models with external tools, APIs, databases, and services.</li>\n<li>Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.</li>\n<li>Strong communication skills and comfort working in customer-facing or cross-functional environments.</li>\n</ul>\n<p>Nice-to-haves include hands-on experience building AI agents using modern generative AI stacks, experience with agent frameworks, orchestration layers, or workflow systems, familiarity with evaluation, monitoring, and observability for LLM-powered systems in production, and experience deploying ML systems in cloud environments and operating them at scale.</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_9c235fca-4e3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4658162005","x-work-arrangement":"hybrid","x-experience-level":"senior|staff","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["Machine Learning","Artificial Intelligence","Python","LLMs","Agentic System Design"],"x-skills-preferred":["Generative AI Stacks","Agent Frameworks","Orchestration Layers","Workflow Systems","Evaluation, Monitoring, and Observability"],"datePosted":"2026-04-18T15:57:55.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Artificial Intelligence, Python, LLMs, Agentic System Design, Generative AI Stacks, Agent Frameworks, Orchestration Layers, Workflow Systems, Evaluation, Monitoring, and Observability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264800,"maxValue":331000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a1ecaac-284"},"title":"Global Leader, Applied AI Architects, Beneficial Deployments","description":"<p>As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead a team of Applied AI Architects who serve as the primary technical partners to mission-driven organisations and non-profits adopting Claude. You&#39;ll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences.</p>\n<p>You&#39;ll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types,from global health foundations to leading research institutions to frontline non-profits. You&#39;ll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organisations operating as AI-native, and you&#39;ll be accountable for the team, processes, and cross-functional relationships that make that possible.</p>\n<p>In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organisation, you&#39;ll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You&#39;ll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences</li>\n</ul>\n<ul>\n<li>Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments,from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure</li>\n</ul>\n<ul>\n<li>Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence</li>\n</ul>\n<ul>\n<li>Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships</li>\n</ul>\n<ul>\n<li>Drive the design of cohort-based accelerators, Claude Code enablement programmes, and other scalable mechanisms that multiply our impact across many organisations simultaneously</li>\n</ul>\n<ul>\n<li>Identify patterns across partners and segments to inform what we build at the ecosystem level,MCPs, evals, reference implementations, and shared infrastructure</li>\n</ul>\n<ul>\n<li>Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves</li>\n</ul>\n<ul>\n<li>Represent Anthropic externally with senior leaders at foundations, non-profits, research institutions, and government-adjacent organisations</li>\n</ul>\n<ul>\n<li>Travel to partner sites globally for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic</li>\n</ul>\n<ul>\n<li>Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments</li>\n</ul>\n<ul>\n<li>7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally</li>\n</ul>\n<ul>\n<li>Experience working with or inside mission-driven organisations,education, healthcare, scientific research, global development, or non-profits,and a genuine understanding of the constraints, incentives, and operating realities of these sectors</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python</li>\n</ul>\n<ul>\n<li>A track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales</li>\n</ul>\n<ul>\n<li>Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership</li>\n</ul>\n<ul>\n<li>Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed</li>\n</ul>\n<ul>\n<li>The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear</li>\n</ul>\n<ul>\n<li>A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience leading globally distributed teams across time zones and regions</li>\n</ul>\n<ul>\n<li>Background in philanthropy, global health, education technology, or scientific research</li>\n</ul>\n<ul>\n<li>Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organisations</li>\n</ul>\n<ul>\n<li>A working understanding of emerging research in agents, evaluations, and AI safety</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_3a1ecaac-284","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5192104008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$380,000 USD","x-skills-required":["Technical leadership","Team management","Communication","Collaboration","Coaching","Python","LLM implementation patterns","Prompt engineering","Evaluation frameworks","Agent frameworks","Retrieval systems"],"x-skills-preferred":["Experience leading globally distributed teams","Background in philanthropy, global health, education technology, or scientific research","Experience designing cohort-based or programmatic delivery models","Working understanding of emerging research in agents, evaluations, and AI safety"],"datePosted":"2026-04-18T15:57:53.993Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical leadership, Team management, Communication, Collaboration, Coaching, Python, LLM implementation patterns, Prompt engineering, Evaluation frameworks, Agent frameworks, Retrieval systems, Experience leading globally distributed teams, Background in philanthropy, global health, education technology, or scientific research, Experience designing cohort-based or programmatic delivery models, Working understanding of emerging research in agents, evaluations, and AI safety","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":380000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_45dbbd5c-38c"},"title":"Director, Technical Account Management","description":"<p>As the Director of Technical Account Management at Airtable, you will lead and scale a high-impact team that owns the persistent technical relationship with our most strategic Premium Support customers.</p>\n<p>This role requires deep experience in platform architecture and integration, hands-on fluency with AI agent capabilities, and a clear-eyed understanding of what enterprise customers need to run Airtable as mission-critical infrastructure.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead and scale a high-performing team of Technical Account Managers who serve as the persistent technical authority for Premium accounts , ensuring customer environments are built to fully leverage Airtable&#39;s platform, including Field Agents, Omni, automation architecture, and the connected data structures that make intelligent workflows perform at scale.</li>\n</ul>\n<ul>\n<li>Own the team&#39;s technical depth across Airtable&#39;s agent capabilities , including Field Agent configuration, data semantics, schema design, MCP connectivity, and automation architecture , so TAMs can guide customers through key architectural decisions and implementation.</li>\n</ul>\n<ul>\n<li>Coach and mentor Managers and ICs, building architectural judgment and platform fluency across the team. Foster a culture of ownership and continuous learning that keeps pace with Airtable&#39;s rapid product evolution.</li>\n</ul>\n<ul>\n<li>Establish and evolve frameworks for how TAMs assess and improve the technical health of Premium accounts , evaluating agent configurations, data semantics, integration coverage, and automation architecture against the full capability of the platform.</li>\n</ul>\n<ul>\n<li>Engage directly with customers during critical technical projects or escalations, diagnosing root cause, proposing structural remediation, and representing Airtable as a calm, expert partner.</li>\n</ul>\n<ul>\n<li>Partner across Sales, Customer Success, and Support to maintain clear ownership boundaries and identify high-value accounts for Premium Support , articulating the TAM value proposition in terms of architectural depth, agent reliability, and long-term technical health.</li>\n</ul>\n<ul>\n<li>Drive program development and influence product direction by iterating on delivery models and surfacing patterns around friction, gaps, or constraints that limit how customers realise value from Airtable&#39;s capabilities.</li>\n</ul>\n<ul>\n<li>Leverage data and KPIs (e.g., technical health scores, automation adoption, integration depth, CSAT) to inform decisions, measure success, and prioritise team focus.</li>\n</ul>\n<p>Who you are:</p>\n<ul>\n<li>You have 10+ years in technical support, solution architecture, or technical account management roles, including at least 5+ years leading enterprise-facing technical teams.</li>\n</ul>\n<ul>\n<li>You bring a solutions-architect mindset, with the ability to evaluate a customer&#39;s existing build, identify structural risk, and prescribe scalable improvements , translating complex technical requirements into concrete, actionable plans. You&#39;ve done this in platform or integration-heavy SaaS environments where customers require ongoing architectural guidance to realise full product value.</li>\n</ul>\n<ul>\n<li>You use AI heavily in your own work , not experimentally, but as a core part of how you operate. 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You will build alongside them, and you will help them fundamentally change how they operate.</p>\n<p>Your measure of success is the number of workflows you&#39;ve permanently transformed and the extent to which those in your group start any task with an AI tool.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Identify and document the highest-leverage workflow transformations within your group&#39;s day-to-day work by deeply understanding their processes and outputs</li>\n<li>Build custom tools, agents, automations, and skills tailored to each marketer&#39;s specific responsibilities</li>\n<li>Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency</li>\n<li>Teach marketers to build and iterate on their own tools over time, creating independence</li>\n<li>Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers</li>\n<li>Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other&#39;s work</li>\n<li>Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success</li>\n<li>Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work</li>\n<li>Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows</li>\n</ul>\n<p>Who you are:</p>\n<p>We&#39;re looking for people who have already lived the transformation they&#39;ll be driving for others. 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Provide a tight feedback loop to our product and engineering teams , identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.</li>\n<li>Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximise customer ROI.</li>\n<li>Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li>\n<li>3+ years of experience of full time working experience in software development/ consulting, AI/ML engineering, or system integration, or as FDE.</li>\n<li>Proficiency in Python and Golang, with the ability to write clean, efficient code.</li>\n<li>Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.</li>\n<li>Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). 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Provide a tight feedback loop to our product and engineering teams , identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.</li>\n<li>Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI.</li>\n<li>Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li>\n<li>3+ years of experience of full time working experience in software development/ consulting, AI/ML engineering, or system integration, or as FDE</li>\n<li>Proficiency in Python and Golang, with the ability to write clean, efficient code.</li>\n<li>Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.</li>\n<li>Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).</li>\n<li>Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.</li>\n<li>Excellent communication and project management skills.</li>\n<li>Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.</li>\n<li>You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions.</li>\n</ul>\n<p>Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.</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_39c59172-1f6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cresta","sameAs":"https://www.cresta.ai/","logo":"https://logos.yubhub.co/cresta.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/cresta/jobs/5137369008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Golang","Large Language Models (LLMs)","AI/ML concepts","AI agent frameworks","function calling","retrieval-augmented generation (RAG)","cloud platforms","DevOps practices","APIs","webhooks","data pipelines"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:25:47.242Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany (Hybird)"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Golang, Large Language Models (LLMs), AI/ML concepts, AI agent frameworks, function calling, retrieval-augmented generation (RAG), cloud platforms, DevOps practices, APIs, webhooks, data pipelines"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5a8a5ce4-a54"},"title":"Senior Forward Deployed Engineer (AI Agent)","description":"<p>Join us on this thrilling journey to revolutionise the workforce with AI.</p>\n<p>At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. 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Provide a tight feedback loop to our product and engineering teams , identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.</li>\n<li>Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximise customer ROI.</li>\n<li>Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.</li>\n</ul>\n<p>What We&#39;re Looking For:</p>\n<ul>\n<li>Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li>\n<li>Experience: 3+ years of full-time working experience in software development/Consulting, AI/ML engineering, or Forward Deployed Engineering.</li>\n<li>Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code.</li>\n<li>AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.</li>\n<li>AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.</li>\n<li>Cloud &amp; DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerisation, monitoring).</li>\n<li>Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.</li>\n<li>Communication: Excellent communication and project management skills.</li>\n<li>Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.</li>\n<li>Collaborative Builder: You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions.</li>\n</ul>\n<p>Perks &amp; Benefits:</p>\n<ul>\n<li>We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.</li>\n<li>Paid parental leave to support you and your family.</li>\n<li>Monthly Health &amp; Wellness allowance.</li>\n<li>Work from home office stipend to help you succeed in a remote environment.</li>\n<li>Lunch reimbursement for in-office employees.</li>\n<li>PTO: 3 weeks in Canada.</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_5a8a5ce4-a54","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cresta","sameAs":"https://www.cresta.ai/","logo":"https://logos.yubhub.co/cresta.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/cresta/jobs/4595480008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Golang","Large Language Models (LLMs)","AI Agent Systems","Cloud Platforms (AWS, GCP, or Azure)","DevOps Practices (CI/CD, containerisation, monitoring)","APIs","Databases","CRMs","Data Pipelines"],"x-skills-preferred":["Prompt Engineering Techniques","Retrieval-Augmented Generation (RAG)","Function Calling","General AI Agent Frameworks"],"datePosted":"2026-04-17T12:25:28.216Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada (Remote)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Golang, Large Language Models (LLMs), AI Agent Systems, Cloud Platforms (AWS, GCP, or Azure), DevOps Practices (CI/CD, containerisation, monitoring), APIs, Databases, CRMs, Data Pipelines, Prompt Engineering Techniques, Retrieval-Augmented Generation (RAG), Function Calling, General AI Agent Frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_811c5469-b62"},"title":"Senior Forward Deployed Engineer (AI Agent)","description":"<p>Join us on this thrilling journey to revolutionise the workforce with AI.</p>\n<p>At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. 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Provide a tight feedback loop to our product and engineering teams , identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.</li>\n<li>Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximise customer ROI.</li>\n<li>Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li>\n<li>3+ years of full-time working experience in software development/Consulting, AI/ML engineering, or Forward Deployed Engineering.</li>\n<li>Proficiency in Python and Golang, with the ability to write clean, efficient code.</li>\n<li>Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.</li>\n<li>Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerisation, monitoring).</li>\n<li>Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.</li>\n<li>Excellent communication and project management skills.</li>\n<li>Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.</li>\n<li>Thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions.</li>\n</ul>\n<p>Perks &amp; Benefits:</p>\n<ul>\n<li>Comprehensive medical, dental, and vision coverage with plans to fit you and your family.</li>\n<li>Flexible PTO to take the time you need, when you need it.</li>\n<li>Paid parental leave for all new parents welcoming a new child.</li>\n<li>Retirement savings plan to help you plan for the future.</li>\n<li>Remote work setup budget to help you create a productive home office.</li>\n<li>Monthly wellness and communication stipend to keep you connected and balanced.</li>\n<li>In-office meal program and commuter benefits provided for onsite employees.</li>\n</ul>\n<p>Compensation at Cresta:</p>\n<ul>\n<li>Cresta’s approach to compensation is simple: recognise impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.</li>\n<li>The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.</li>\n<li>Base Salary Range: $185,000–$235,000 + Annual Bonus &amp; Offers Equity.</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_811c5469-b62","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cresta","sameAs":"https://www.cresta.ai/","logo":"https://logos.yubhub.co/cresta.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/cresta/jobs/4759347008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$185,000–$235,000 + Annual Bonus & Offers Equity","x-skills-required":["Python","Golang","Large Language Models (LLMs)","AI Agent systems","Cloud platforms (AWS, GCP, or Azure)","DevOps practices (CI/CD, containerisation, monitoring)"],"x-skills-preferred":["Prompt engineering techniques","General AI agent frameworks","Function calling","Retrieval-augmented generation (RAG)","APIs","Databases","CRMs"],"datePosted":"2026-04-17T12:25:01.389Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States (Remote)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Golang, Large Language Models (LLMs), AI Agent systems, Cloud platforms (AWS, GCP, or Azure), DevOps practices (CI/CD, containerisation, monitoring), Prompt engineering techniques, General AI agent frameworks, Function calling, Retrieval-augmented generation (RAG), APIs, Databases, CRMs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":185000,"maxValue":235000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2c01d9b5-3e0"},"title":"AI Engineer","description":"<p>About Belong</p>\n<p>We believe in a world where homes are owned by regular people, not corporations. Our mission is to provide authentic belonging experiences, empowering residents to become homeowners and homeowners to achieve financial freedom.</p>\n<p>The Role</p>\n<p>Belong is looking for an AI Automation Engineer to help transform real-world operations through practical, high-impact AI solutions. 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Apply now.</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_2c01d9b5-3e0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Belong","sameAs":"https://www.belong.com","logo":"https://logos.yubhub.co/belong.com.png"},"x-apply-url":"https://jobs.lever.co/belong/50109bb9-7e26-4bcc-855d-87da77964fee","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript","AI tooling","Agent frameworks","Workflow orchestration tools",".NET","React","Next.js"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:22:29.661Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Buenos Aires"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, AI tooling, Agent frameworks, Workflow orchestration tools, .NET, React, Next.js"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_98d7335f-4d4"},"title":"Applied AI Engineer","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</strong></p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n</ul>\n<ul>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n</ul>\n<ul>\n<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>\n</ul>\n<ul>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n</ul>\n<ul>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n</ul>\n<ul>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>\n</ul>\n<ul>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n</ul>\n<ul>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n</ul>\n<ul>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n</ul>\n<ul>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n</ul>\n<ul>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n</ul>\n<ul>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n</ul>\n<p><strong>Deadline to apply: None. Applications will be reviewed on a rolling basis.</strong></p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. Location-based hybrid policy: 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.</strong></p>\n<p><strong>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.</strong></p>\n<p><strong>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. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</strong></p>\n<p><strong>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.</strong></p>\n<p><strong>How we&#39;re different</strong></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. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</strong></p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n<li>Fluent in both Korean and English</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. Location-based hybrid policy: 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.</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. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</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><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. 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This research continues many of the directions our team worked on prior to Anthropic, including</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_74e83779-8ca","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/5014500008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Production experience with LLMs","Advanced prompt engineering","Agent development","Evaluation frameworks","Deployment at scale","Strong programming skills with proficiency in Python","Experience building production applications","Expertise working with common LLM implementation patterns","Prompt engineering","Evaluation frameworks","Agent frameworks","Retrieval frameworks"],"x-skills-preferred":["Intellectual openness","High cooperation mindset","Passion for advancing safe, beneficial AI systems","Exceptional communication skills","Fluent in both Korean and English"],"datePosted":"2026-03-08T13:57:43.523Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul, South Korea"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Production experience with LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills with proficiency in Python, Experience building production applications, Expertise working with common LLM implementation patterns, Prompt engineering, Evaluation frameworks, Agent frameworks, Retrieval frameworks, Intellectual openness, High cooperation mindset, Passion for advancing safe, beneficial AI systems, Exceptional communication skills, Fluent in both Korean and English"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c66d7006-392"},"title":"Data Scientist, B2B","description":"<p><strong>Data Scientist, B2B</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco; New York City</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>On-site</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $515K • 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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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>Our B2B product organisation is building the systems that will accelerate and automate how companies operate using AI coworkers. Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.</p>\n<p>This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.</p>\n<p>You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Partner closely with product, engineering, and research teams to shape AI-powered enterprise products</li>\n</ul>\n<ul>\n<li>Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption</li>\n</ul>\n<ul>\n<li>Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact</li>\n</ul>\n<ul>\n<li>Drive insights around enterprise adoption, retention, and value realisation</li>\n</ul>\n<ul>\n<li>Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools</li>\n</ul>\n<ul>\n<li>Design experiments and evaluations that improve AI system performance and user outcomes</li>\n</ul>\n<ul>\n<li>Help define how companies operate with AI coworkers and automated workflows</li>\n</ul>\n<p><strong>What We’re Looking For</strong></p>\n<p><strong>Must Have:</strong></p>\n<ul>\n<li>Strong product analytics or data science experience</li>\n</ul>\n<ul>\n<li>Deep curiosity about AI systems and how they change how work gets done</li>\n</ul>\n<ul>\n<li>Ability to work closely with product and engineering teams in 0→1 product environments</li>\n</ul>\n<ul>\n<li>Strong analytical skills (experimentation, behavioural analysis, product metrics)</li>\n</ul>\n<ul>\n<li>Builder mindset — someone who wants to shape products, not just analyse them</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience with B2B SaaS or enterprise analytics</li>\n</ul>\n<ul>\n<li>Experience with developer platforms, APIs, or technical products</li>\n</ul>\n<ul>\n<li>Background in AI/ML systems, agent frameworks, or LLM-based products</li>\n</ul>\n<ul>\n<li>Systems thinking around how complex tools and workflows operate at scale</li>\n</ul>\n<p><strong>Who Thrives Here:</strong></p>\n<ul>\n<li>AI-native — actively experimenting with and building with AI tools</li>\n</ul>\n<ul>\n<li>Product thinkers who want to shape the future of work</li>\n</ul>\n<ul>\n<li>Builders who enjoy early-stage ambiguity and 0→1 problems</li>\n</ul>\n<ul>\n<li>Operators who can work independently and drive large parts of a product area</li>\n</ul>\n<p><strong>Impact</strong></p>\n<p><strong>You will help define:</strong></p>\n<ul>\n<li>How organisations deploy and manage AI agents</li>\n</ul>\n<ul>\n<li>How AI transforms enterprise productivity</li>\n</ul>\n<ul>\n<li>The measurement systems behind AI-native companies</li>\n</ul>\n<ul>\n<li>This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.</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. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_c66d7006-392","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/681f9b48-0ebb-451d-ab79-103b4379db27","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $515K • Offers Equity","x-skills-required":["product analytics","data science","AI systems","agent frameworks","LLM-based products","developer platforms","APIs","technical products","B2B SaaS","enterprise analytics","systems thinking"],"x-skills-preferred":["AI/ML systems","agent orchestration","enterprise workflows","AI productivity tools","experimentation","behavioural analysis","product metrics"],"datePosted":"2026-03-06T18:31:10.442Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product analytics, data science, AI systems, agent frameworks, LLM-based products, developer platforms, APIs, technical products, B2B SaaS, enterprise analytics, systems thinking, AI/ML systems, agent orchestration, enterprise workflows, AI productivity tools, experimentation, behavioural analysis, product metrics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":515000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f9cca57a-37d"},"title":"Principal AI Systems Engineer","description":"<p>We are seeking a Principal AI Systems Engineer to join our team. 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As a Data Scientist at Perplexity, you will be responsible for building AI agents that conduct full analyses autonomously, forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. 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You&#39;ll take what&#39;s working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt</li>\n</ul>\n<ul>\n<li>Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>6-8+ years in data science, analytics engineering, or a related role - you&#39;ve been in the data trenches</li>\n</ul>\n<ul>\n<li>Strong product sense - you&#39;ve worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build</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_203c39f0-768","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Perplexity","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/perplexity.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/perplexity/fed8d2c4-9c82-43ad-a168-434146c759ff","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$210K - $330K","x-skills-required":["SQL expertise","pipeline experience","software engineering chops"],"x-skills-preferred":["experience with dbt","Snowflake administration and optimization","background in AI agent frameworks"],"datePosted":"2026-03-04T12:26:37.066Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL expertise, pipeline experience, software engineering chops, experience with dbt, Snowflake administration and optimization, background in AI agent frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":330000,"unitText":"YEAR"}}}]}