{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/tooling"},"x-facet":{"type":"skill","slug":"tooling","display":"Tooling","count":100},"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_e3595f40-484"},"title":"Technical Program Manager IT Applications","description":"<p>What Makes a Honda, is Who makes a Honda</p>\n<p>Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”</p>\n<p>We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.</p>\n<p><strong>Job Purpose:</strong> The Service Technical IT Applications unit is seeking a highly motivated, team-oriented, and customer-focused Technical Program Manager. This leadership role encompasses responsibility for overseeing programs and portfolio comprising of numerous critical applications. This position involves providing delivery and technical leadership and guiding the delivery team to ensure alignment with unit, department, divisional, and AHM business unit objectives. The Team Manager will oversee multiple projects, including business transformation initiatives utilizing modern technology and SaaS platforms for the Service division and working with global teams.</p>\n<p><strong>Key Accountabilities:</strong></p>\n<ul>\n<li>Vision &amp; Strategy:</li>\n</ul>\n<p>Lead the IT team to support the Service and Planning business unit with their business application needs.</p>\n<ul>\n<li>Build and maintain high performing IT teams:</li>\n</ul>\n<p>Foster associate development and long-term capability by teaching, coaching and mentoring, integrated with consistent and effective individual performance Management</p>\n<ul>\n<li>Achieve the project goals for the Team:</li>\n</ul>\n<p>As approved annually, including schedule, budget and quality commitments</p>\n<ul>\n<li>Provide Technical and Solution Leadership:</li>\n</ul>\n<p>Design business and technical solutions and provide solution architecture oversight.</p>\n<ul>\n<li>Promote IT and its capabilities:</li>\n</ul>\n<p>Build NA relationships and network to achieve trust and credibility, by discovering and meeting the needs of internal and external customers</p>\n<p><strong>Qualifications, Experience, and Skills:</strong></p>\n<ul>\n<li>IT / Computer Science related Bachelor Degree and/or equivalent work experience</li>\n<li>8 or more years in Information Technology/Information Services</li>\n<li>5 or more years supervisory, resource management, vendor management experience</li>\n<li>5 or more years experience supporting IT Delivery, preferably in automotive industry</li>\n<li>5 or more years experience managing and delivering large/ multiple projects, platforms, and products</li>\n<li>Must have strong project management skills to manage deadlines while delivering quality results, on time, on budget</li>\n<li>Experience managing teams with differing priorities and levels of expertise;</li>\n<li>Strong written and presentation skills and ability to effectively communicate at all levels of the organization</li>\n<li>Strong problem-solving and root cause analysis skills</li>\n<li>Working experience with estimation, planning, developing and managing a budget,</li>\n<li>People management, team building, coaching, mentoring, development, negotiations, conflict resolution, and strong interpersonal skills.</li>\n<li>Strong experience in vendor management, contracts management, SOW, RFP &amp; RFQ process</li>\n<li>In-depth demonstrable knowledge of applicable SOX, PII, data privacy practices, security, and governance</li>\n<li>Experience leading multiple software development and implementation teams (Microsoft, Salesforce, Enterprise software etc)</li>\n<li>Experience in designing solutions and providing technical architecture oversight</li>\n<li>Experience as a leader for solution and business architecture, provide direction and oversight of design, methodologies, tooling, partnerships, and support models.</li>\n<li>Experience in performing modeling, gap analysis, and crafting architecture artifacts, such as context diagrams, data flow diagrams, business capability roadmaps.</li>\n<li>Experience in working with Architecture Review Board.</li>\n<li>Experience in leading the technical workstream for critical projects</li>\n</ul>\n<p><strong>Workstyle:</strong></p>\n<ul>\n<li>Onsite at least 4 days per workweek. 1 remote workday a week may be possible with prior departmental approval.</li>\n</ul>\n<p><strong>Visa sponsorship issues:</strong></p>\n<ul>\n<li>This position is not eligible for any work visa sponsorship.</li>\n</ul>\n<p><strong>Relocation assistance:</strong></p>\n<ul>\n<li>Not eligible</li>\n</ul>\n<p><strong>What differentiates Honda and make us an employer of choice?</strong></p>\n<p><strong>Total Rewards:</strong></p>\n<ul>\n<li>Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)</li>\n<li>Regional Bonus (when applicable)</li>\n<li>Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)</li>\n<li>Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)</li>\n<li>Paid time off, including vacation, holidays, shutdown</li>\n<li>Company Paid Short-Term and Long-Term Disability</li>\n<li>401(K) Plan with company match + additional contribution</li>\n</ul>\n<p><strong>Career Growth:</strong></p>\n<ul>\n<li>Advancement Opportunities</li>\n<li>Career Mobility</li>\n<li>Education Reimbursement for Continued Learning</li>\n<li>Training and Development Programs</li>\n</ul>\n<p><strong>Additional Offerings:</strong></p>\n<ul>\n<li>Lifestyle Account</li>\n<li>Childcare Reimbursement Account</li>\n<li>Elder Care Support</li>\n<li>Tuition Assistance &amp; 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The Anthropic Alliances team&#39;s function is to extend and accelerate adoption of Claude and its developer platform by recruiting and developing a portfolio of consulting, services, technology and selling partners. This role focuses on partners who are building Claude-first practices,typically smaller, more agile firms with deep AI implementation expertise. These partners deliver proof points, train the talent pool, and drive adoption velocity in the mid-market to complement our developing GSI relationships.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Be the face of Anthropic Alliances to our DACH/CEE emerging boutique partner ecosystem across AI-natives, specialist SIs and consultancies.</li>\n<li>Build and curate the partner portfolio to accelerate Claude adoption and service mid-market and enterprise customers.</li>\n<li>Identify, recruit, and onboard high-potential partners with genuine AI implementation capability.</li>\n<li>Partner with sales leaders to ensure business objectives are identified and met, with particular focus on deals where boutique agility and specialist expertise add value.</li>\n<li>Understand partners&#39; businesses, their technical depth, and their target customer segments.</li>\n<li>Drive structure and rigour in joint business planning and active pipeline development.</li>\n<li>Provide and coordinate sales and technical enablement, ensuring partners function as a seamless extension of our direct sales and Applied AI teams.</li>\n<li>Coordinate with the GSI-focused Partner Manager to ensure complementary coverage and avoid duplication.</li>\n<li>Review customer needs and coverage gaps to identify where to focus prospecting and partner capability development.</li>\n<li>Monitor market and industry trends to identify emerging partners and new areas of specialisation.</li>\n<li>Develop and deliver regular pipeline, lead, and activity reports attributing partner value.</li>\n<li>Be the &quot;voice of the partner&quot; to internal teams (product, sales, leadership),surface implementation patterns, product feedback, and competitive intelligence from the practitioners closest to the technology.</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>5+ years of experience developing services partners, consulting partners, or specialist VARs in the AI, data, or enterprise software industry.</li>\n<li>Track record of building channel and partner motions from early stage and enabling partners who are themselves building new practices.</li>\n<li>Experience working with boutique consultancies and SIs; understanding of how smaller partners add value to complement GSIs.</li>\n<li>Experience managing an ecosystem across multiple countries, liaising with multiple distributed GTM teams.</li>\n<li>Demonstrated experience with technology products at an early stage of maturity, including APIs and platforms.</li>\n<li>Experience driving revenues across start-ups, digital native and mid-market.</li>\n<li>Very comfortable navigating a high degree of ambiguity and prioritizing work ruthlessly in an exceptionally fast-moving environment.</li>\n<li>Comfortable leveraging AI tooling to multiply impact and efficiency.</li>\n<li>Ability to work autonomously and in virtual teams.</li>\n<li>Willing and able to travel throughout the region.</li>\n<li>Fluent German. Other European languages are a plus.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!</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. 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><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and paid time off, and opportunities for growth and development.</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_8db2b46a-b4f","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/5164616008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Channel and partner development","AI implementation expertise","Sales enablement","Technical enablement","Partner management","Ecosystem management","Communication skills","Ambiguity tolerance","Prioritization","AI tooling","Virtual team collaboration","Fluent German"],"x-skills-preferred":["Experience working with boutique consultancies and SIs","Experience managing an ecosystem across multiple countries","Demonstrated experience with technology products at an early stage of maturity","Experience driving revenues across start-ups, digital native and mid-market"],"datePosted":"2026-04-18T16:00:19.084Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Channel and partner development, AI implementation expertise, Sales enablement, Technical enablement, Partner management, Ecosystem management, Communication skills, Ambiguity tolerance, Prioritization, AI tooling, Virtual team collaboration, Fluent German, Experience working with boutique consultancies and SIs, Experience managing an ecosystem across multiple countries, Demonstrated experience with technology products at an early stage of maturity, Experience driving revenues across start-ups, digital native and mid-market"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1bebb6dc-380"},"title":"Staff Software Engineer, Platform","description":"<p>We live in unprecedented times – AI has the potential to exponentially augment human intelligence. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products.</p>\n<p>At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.</p>\n<p>As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity &amp; access management, and underlying cloud infrastructure.</p>\n<p>Impact and Responsibilities:</p>\n<ul>\n<li>Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.</li>\n</ul>\n<ul>\n<li>Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.</li>\n</ul>\n<ul>\n<li>Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.</li>\n</ul>\n<ul>\n<li>Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.</li>\n</ul>\n<p>Ideally you’d have:</p>\n<ul>\n<li>8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.</li>\n</ul>\n<ul>\n<li>Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).</li>\n</ul>\n<ul>\n<li>Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.</li>\n</ul>\n<ul>\n<li>Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Experience working fluently with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc.</li>\n</ul>\n<ul>\n<li>Experience with orchestration platforms, such as Temporal and AWS Step Functions.</li>\n</ul>\n<ul>\n<li>Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).</li>\n</ul>\n<ul>\n<li>Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).</li>\n</ul>\n<ul>\n<li>Experience scaling products at hyper-growth startups.</li>\n</ul>\n<ul>\n<li>Excitement to work with AI technologies.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. 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On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.</p>\n<p>The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. 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Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Salary Range: $167,200-$209,000 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_6365e7d7-511","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/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f598f99-758"},"title":"Senior+ Software Engineer, Research Tools","description":"<p>We&#39;re looking for a Senior+ Software Engineer to join our Research Tools team. As a member of this team, you&#39;ll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.</p>\n<p>This role sits at the intersection of product thinking and full-stack engineering. You&#39;ll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you&#39;re building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.</p>\n<p>We&#39;re looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results</li>\n<li>Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions</li>\n<li>Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient</li>\n<li>Create reusable platforms and tools that accelerate the development of new research applications</li>\n<li>Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage</li>\n<li>Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration</li>\n<li>Contribute to technical strategy and architectural decisions for research tooling</li>\n<li>Mentor other engineers and help establish best practices for research application development</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of software engineering experience with a strong focus on full-stack development</li>\n<li>Excel at rapid iteration and shipping,you can move from concept to working prototype quickly</li>\n<li>Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)</li>\n<li>Demonstrate high agency and ability to operate independently in ambiguous environments</li>\n<li>Can quickly develop deep understanding of complex technical domains</li>\n<li>Have strong product instincts and can identify the right problems to solve</li>\n<li>Are proficient with modern web technologies (React, TypeScript, Python, etc.)</li>\n<li>Have a track record of building user-facing applications that are actually used and loved by their target audience</li>\n<li>Communicate effectively with both technical and non-technical stakeholders</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building research tools, scientific software, or experimentation platforms</li>\n<li>Background in machine learning, AI research, or working closely with ML researchers</li>\n<li>Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools</li>\n<li>Built 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alignment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4c6f4642-054"},"title":"Staff Product Manager, Agentic Platform","description":"<p>We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation’s most important national security challenges. As a Staff Product Manager, you will develop enterprise-grade solutions that leverage cutting-edge AI and AI agents to drive value for public sector customers. You will work with executives at Scale and our customers to determine and execute the product strategy of the business. You will own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches. You will lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance. You will develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry. Ideally, you&#39;d have technical experience in building ML-powered and/or enterprise-facing products, a strong understanding of generative AI technologies and their applications in public or large-scale private sector settings, experience operating in a fast-paced environment with high ambiguity, exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams, data literacy, and experience with data analytics. You will maintain a Top Secret security clearance.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600-$297,000 USD. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400-$267,300 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_4c6f4642-054","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4612403005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$237,600-$297,000 USD; $213,400-$267,300 USD","x-skills-required":["generative AI technologies","public sector AI solution","software engineering principles","ML/AI application development","Top Secret security clearance"],"x-skills-preferred":["experience building infrastructure and tooling to develop and support agentic applications","experience working in startup environments building solutions for public sector/federal customers","understanding of public/federal networks, infrastructure, and deployment constraints","TS/SCI Security Clearance"],"datePosted":"2026-04-18T15:59:39.807Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; San Francisco, CA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"generative AI technologies, public sector AI solution, software engineering principles, ML/AI application development, Top Secret security clearance, experience building infrastructure and tooling to develop and support agentic applications, experience working in startup environments building solutions for public sector/federal customers, understanding of public/federal networks, infrastructure, and deployment constraints, TS/SCI Security Clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":213400,"maxValue":297000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_15092e66-444"},"title":"Strategic Account Executive, GSI","description":"<p><strong>About the Role</strong></p>\n<p>As a Strategic Account Executive on the GSI team, you&#39;ll own a named book of accounts and the full revenue outcome for each. You&#39;ll develop a point of view on where Claude creates the most value across a firm&#39;s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms</li>\n<li>Develop a clear thesis for each priority firm , where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements , and execute a sequenced engagement plan across practices, regions, and stakeholders</li>\n<li>Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity</li>\n<li>Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations</li>\n<li>Build quantified, firm-specific business cases mapped to the GSI operating model , using their own language and metrics , that shape deals rather than justify them after the fact</li>\n<li>Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion</li>\n<li>Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement</li>\n<li>Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level , including practice leadership and innovation/digital executives , and hold credible conversations across both technical and business audience</li>\n<li>Experience building firm-specific business cases grounded in the firm&#39;s own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations</li>\n<li>Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category</li>\n<li>Genuine interest in AI and strong alignment with Anthropic&#39;s mission of responsible AI development</li>\n<li>A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases</li>\n</ul>\n<p><strong>What Will Make You Stand Out</strong></p>\n<ul>\n<li>Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success</li>\n<li>Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it</li>\n<li>Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>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.</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_15092e66-444","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/5176036008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000-$435,000 USD","x-skills-required":["Enterprise software sales","Named account ownership","Complex sales cycles","Partner-led approval","Global procurement","Firm-specific business cases","Commercial terms negotiation","Platform, API, cloud infrastructure, or emerging technology sales","AI interest and alignment with Anthropic's mission"],"x-skills-preferred":["Direct experience selling into Global SI’s or strategy consultancies","Experience as an early AE in a vertical or segment","Background selling developer platforms, cloud infrastructure, or AI/ML tooling"],"datePosted":"2026-04-18T15:59:27.988Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Enterprise software sales, Named account ownership, Complex sales cycles, Partner-led approval, Global procurement, Firm-specific business cases, Commercial terms negotiation, Platform, API, cloud infrastructure, or emerging technology sales, AI interest and alignment with Anthropic's mission, Direct experience selling into Global SI’s or strategy consultancies, Experience as an early AE in a vertical or segment, Background selling developer platforms, cloud infrastructure, or AI/ML tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":435000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_43952002-812"},"title":"Software Engineer, AI Developer Tooling","description":"<p>We&#39;re looking for a Software Engineer to join our Platform Engineering team. As a Software Engineer, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. You&#39;ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Defining next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.</li>\n<li>Driving the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.</li>\n<li>Directly mentoring software engineers ranging from new grads to experienced engineers.</li>\n<li>Proactively identifying opportunities and driving improvements to software development practices, processes, tools, and languages.</li>\n<li>Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.</li>\n<li>Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.</li>\n<li>Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).</li>\n<li>Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.</li>\n<li>A track record of independent ownership of successful engineering projects.</li>\n<li>Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.</li>\n<li>Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.</li>\n<li>Experience with modern web frameworks like NodeJS, NextJS, etc.</li>\n<li>Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>This role may be eligible for additional benefits such as a commuter stipend.</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_43952002-812","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4676936005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$225,000 USD","x-skills-required":["software development","distributed systems","public cloud platforms","MCP servers","AI agents","standard infrastructure","containerization","deployment technologies","modern web frameworks","software engineering best practices","CI/CD tooling"],"x-skills-preferred":["Cursor","Claude Code","OpenAI Codex","MS Copilot","Terraform","Docker","Kubernetes","NodeJS","NextJS"],"datePosted":"2026-04-18T15:59:27.391Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software development, distributed systems, public cloud platforms, MCP servers, AI agents, standard infrastructure, containerization, deployment technologies, modern web frameworks, software engineering best practices, CI/CD tooling, Cursor, Claude Code, OpenAI Codex, MS Copilot, Terraform, Docker, Kubernetes, NodeJS, NextJS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5465ae79-24e"},"title":"Analytics & Systems Lead, Finance","description":"<p>We&#39;re seeking an experienced Analytics &amp; Systems Lead to join our Finance team. In this role, you will work closely with stakeholders across business finance, corporate finance, and accounting to design and develop internal tools and AI agents that automate workflows across finance and accounting.</p>\n<p>You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale&#39;s proprietary AI platform, and emerging AI tools.</p>\n<p>Key responsibilities include designing and developing end-to-end agent-driven workflows, building scalable data models and pipelines, partnering with stakeholders to translate business requirements into technical requirements, and collaborating with engineering teams to develop internal tools.</p>\n<p>Ideal candidates will have 5+ years of experience in data analytics, analytics engineering, or data science roles, expert knowledge of SQL and Python, and experience building internal tools, automation systems, or data products.</p>\n<p>Compensation packages at Scale include base salary, equity, and benefits, with a base salary range of $200,000-$250,000 USD for this full-time position in San Francisco.</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_5465ae79-24e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4673090005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000-$250,000 USD","x-skills-required":["SQL","Python","data analysis","data modeling","internal tools","automation systems","data products"],"x-skills-preferred":["JavaScript","modern automation tooling"],"datePosted":"2026-04-18T15:59:26.227Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, data analysis, data modeling, internal tools, automation systems, data products, JavaScript, modern automation tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e531ea80-a7c"},"title":"Security Risk & Compliance, HIPAA","description":"<p><strong>About the Role</strong></p>\n<p>As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers, and industry norms. The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Operate Anthropic&#39;s HIPAA compliance review program, executing on HIPAA obligations across the product portfolio.</li>\n<li>Run a dedicated HIPAA review track in parallel with the Product Security Review (PSR) process, applying compliance checklist to every in-scope change and recording a complete, auditable disposition before release.</li>\n<li>Build and maintain change monitoring mechanisms to catch HIPAA-relevant changes , including default setting changes and incremental updates.</li>\n<li>Partner with product and engineering teams upstream to ensure HIPAA considerations are built into first releases rather than addressed as post-launch remediations.</li>\n<li>Assess and document PHI data flows, infrastructure boundaries, and control coverage across Anthropic&#39;s cloud-native product environments.</li>\n<li>Write, update, and enact HIPAA policies, checklists, deployment guides, and audit evidence packages.</li>\n<li>Manage Business Associate Agreement (BAA) obligations and coordinate with legal and external counsel on PHI determination questions and emerging regulatory requirements.</li>\n<li>Contribute to Anthropic&#39;s broader compliance program, including adjacent frameworks (SOC 2, ISO 27001, NIST 800-53) where they intersect with HIPAA obligations.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3+ years of progressive experience in compliance roles, including direct ownership of a HIPAA compliance program at a technology company</li>\n<li>Evaluated PHI data flows and infrastructure boundaries in cloud-native environments (AWS, GCP, or Azure) and can assess HIPAA exposure without always needing to escalate to legal</li>\n<li>Designed and operated a compliance review mechanism integrated into a product development or release process</li>\n<li>Translate HIPAA technical compliance requirements into actionable workstreams for engineering and product teams</li>\n<li>Deliver clear, precise compliance documentation , policies, checklists, audit evidence, deployment guides , for both technical and non-technical audiences</li>\n<li>Thrive in fast-paced, ambiguous environments where you&#39;re expected to build processes from scratch and keep them working under rapid product change</li>\n<li>Energized by being the organizational expert who educates and influences rather than only advises</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Worked in AI/ML or developer-platform companies and understand the unique challenges of PHI exposure in model inference and API environments</li>\n<li>HITRUST CSF experience or experience mapping HIPAA requirements to HITRUST controls</li>\n<li>Implemented or significantly contributed to compliance automation or GRC tooling integrations</li>\n<li>Relevant certifications (CHPC, HCISPP, CISA, CISM, CISSP, or equivalent)</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Annual compensation range: $255,000-$255,000 USD</li>\n<li>Minimum education: Bachelor&#39;s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>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.</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this role, please submit your application through our website. 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 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_e531ea80-a7c","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/5160757008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000-$255,000 USD","x-skills-required":["HIPAA compliance","compliance review program","change monitoring mechanisms","PHI data flows","infrastructure boundaries","control coverage","Business Associate Agreement","legal and external counsel","compliance program"],"x-skills-preferred":["AI/ML","developer-platform","HITRUST CSF","compliance automation","GRC tooling integrations","relevant certifications"],"datePosted":"2026-04-18T15:59:18.315Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"HIPAA compliance, compliance review program, change monitoring mechanisms, PHI data flows, infrastructure boundaries, control coverage, Business Associate Agreement, legal and external counsel, compliance program, AI/ML, developer-platform, HITRUST CSF, compliance automation, GRC tooling integrations, relevant certifications","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_770c5fe8-cce"},"title":"Staff Security Engineer, Vulnerability Management","description":"<p>We are seeking a Staff Security Engineer to lead the most complex technical work in CoreWeave&#39;s Vulnerability Management program.</p>\n<p>As a Staff Security Engineer, you will design and implement scalable triage, prioritization, and remediation-tracking systems across application, infrastructure, and hardware domains. You will set technical standards, drive high-impact initiatives, and mentor engineers through technical leadership, while partnering with leadership on priorities and execution risks.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead high-complexity VM technical initiatives and deliver architecture decisions for assigned program areas</li>\n<li>Design and build scalable triage automation, including integrations, decision logic, and production hardening</li>\n<li>Implement end-to-end workflow components from assessment and detection to ticket routing and remediation tracking</li>\n<li>Provide deep technical leadership on hardware-adjacent vulnerabilities (GPU firmware, DPU firmware/BlueField, and BMC surfaces)</li>\n<li>Act as senior technical responder for embargoed disclosures and zero-day events, coordinating with owner teams that deploy fixes</li>\n<li>Improve prioritization logic, severity models, and exception workflows through code, design reviews, and technical proposals</li>\n<li>Produce actionable technical metrics and risk insights for leadership consumption</li>\n<li>Lead root-cause analysis for high-impact vulnerability incidents and implement durable technical improvements</li>\n<li>Mentor IC3/IC4/IC5 engineers through design guidance, code review, and incident coaching</li>\n<li>Partner with security, engineering, and operational stakeholders to improve workflow reliability and accelerate remediation outcomes</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>9+ years of relevant experience with demonstrated strategic impact in vulnerability management, application security, platform security, or cloud security engineering</li>\n<li>Proven track record building and scaling security automation (SOAR workflows, AI/ML systems, detection pipelines) in production environments</li>\n<li>Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, threat intelligence integration, and risk-based prioritization frameworks</li>\n<li>Excellent development background with strong coding skills in Python, Go, or similar languages for building scalable, production-grade security systems</li>\n<li>Significant experience with modern vulnerability management tooling (for example Wiz, Semgrep, Rapid7, Tenable, or equivalent)</li>\n<li>Experience with specialized infrastructure: GPU/DPU environments, firmware security, hardware vulnerabilities, or high-performance computing</li>\n<li>Demonstrated track record mentoring engineers across levels and driving cross-functional technical initiatives at organizational scale</li>\n<li>Strong business acumen and understanding of how security decisions impact engineering velocity, customer trust, and business outcomes</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Practical experience building AI/ML-powered security systems (LLM integration, automated decision-making, human-in-the-loop validation) in production</li>\n<li>Experience managing hardware vendor security partnerships (embargoed disclosures and pre-release collaboration)</li>\n<li>Production experience with security automation platforms such as TINES and serverless frameworks (AWS Lambda, GCP Cloud Functions)</li>\n<li>Strong DevOps, DevSecOps, or SRE background with deep experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)</li>\n<li>Deep understanding of Kubernetes security (container scanning, admission controllers, supply chain security, runtime protection)</li>\n<li>Experience leading security programs through rapid hypergrowth (10x+ infrastructure scaling) in startup or cloud-native environments</li>\n<li>Practical experience managing vulnerabilities within a FedRAMP-certified environment or similar regulatory frameworks</li>\n</ul>\n<p>Salary and Benefits: The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>Work Environment:</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_770c5fe8-cce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4653130006","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$188,000 to $275,000","x-skills-required":["vulnerability management","application security","platform security","cloud security engineering","security automation","AI/ML systems","detection pipelines","Python","Go","modern vulnerability management tooling","GPU/DPU environments","firmware security","hardware vulnerabilities","high-performance computing"],"x-skills-preferred":["AI/ML-powered security systems","LLM integration","automated decision-making","human-in-the-loop validation","security automation platforms","TINES","serverless frameworks","AWS Lambda","GCP Cloud Functions","DevOps","DevSecOps","SRE","Kubernetes security","container scanning","admission controllers","supply chain security","runtime protection"],"datePosted":"2026-04-18T15:59:06.360Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"vulnerability management, application security, platform security, cloud security engineering, security automation, AI/ML systems, detection pipelines, Python, Go, modern vulnerability management tooling, GPU/DPU environments, firmware security, hardware vulnerabilities, high-performance computing, AI/ML-powered security systems, LLM integration, automated decision-making, human-in-the-loop validation, security automation platforms, TINES, serverless frameworks, AWS Lambda, GCP Cloud Functions, DevOps, DevSecOps, SRE, Kubernetes security, container scanning, admission controllers, supply chain security, runtime protection","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":188000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_76c9a01c-58a"},"title":"Data Center Portfolio Planning & Execution Lead","description":"<p>We&#39;re looking for a Data Center Portfolio Planning &amp; Execution Lead to drive the planning and framework that ensures every site moves smoothly from the front-end phases through design, construction, equipment delivery, commissioning, and operational readiness.</p>\n<p>This role owns the portfolio-level operating system: translating capacity supply pipeline into integrated project plans that span every phase of delivery, building the tooling and automation that runs it at scale, and maintaining Anthropic&#39;s datacenter capacity catalog , a lifecycle view of our fleet that supports both execution orchestration and steady-state capacity planning.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Manage the integrated master plan for each site across the portfolio , stitching power ramp, design, construction, sourcing, deployment, and operations readiness into a single coordinated schedule with clear milestones and dependencies</li>\n<li>Develop and maintain Anthropic&#39;s datacenter catalog for deployed and in-progress capacity. 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However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren’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.</li>\n</ul>\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’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><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</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_95c49f85-a98","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/5102440008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"£325,000-£390,000 GBP","x-skills-required":["observability","telemetry","metrics","logging","tracing","error analytics","alerting","SLO infrastructure","cross-signal correlation","unified query interfaces","AI-assisted diagnostic tooling","Python","Rust","Go","Prometheus","Grafana","ClickHouse","OpenTelemetry"],"x-skills-preferred":["high-throughput data pipelines","columnar storage engines","Kubernetes-native monitoring","eBPF-based observability","continuous profiling","AI/LLMs","automated root cause analysis","anomaly detection","intelligent alerting"],"datePosted":"2026-04-18T15:57:27.177Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"observability, telemetry, metrics, logging, tracing, error analytics, alerting, SLO infrastructure, cross-signal correlation, unified query interfaces, AI-assisted diagnostic tooling, Python, Rust, Go, Prometheus, Grafana, ClickHouse, OpenTelemetry, high-throughput data pipelines, columnar storage engines, Kubernetes-native monitoring, eBPF-based observability, continuous profiling, AI/LLMs, automated root cause analysis, anomaly detection, intelligent alerting","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":390000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8514594a-2d3"},"title":"Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference","description":"<p>We are looking for a Senior Staff Data Scientist to join our team. As a Senior Staff Data Scientist, you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the signal is noisy. You will report directly to the Head of Data and serve as a core leader for standards, frameworks, and decision quality across Product, Growth, Ops, and Finance.</p>\n<p>Your work will set the default methods for how we answer questions like:</p>\n<ul>\n<li>Did this actually cause the outcome we care about?</li>\n<li>How sure are we, and what should we do given that uncertainty?</li>\n<li>What evidence is strong enough to change strategy, policies, or spend?</li>\n</ul>\n<p>A major objective of this role is to build and institutionalize a clear map of “what we know” about patients, providers, and payers, with explicit confidence levels that tie directly to business action.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own causal inference and experimentation standards across Headway.</li>\n<li>Define the canonical approaches, guardrails, documentation, and review mechanisms for experiments and quasi-experiments, including when and how to use Bayesian methods.</li>\n<li>Build the confidence 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easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.</li>\n<li>Mentor and set the bar.</li>\n<li>Coach other data scientists and analytics leaders.</li>\n<li>Create review standards for causal work,</li>\n<li>Support hiring for methodological depth,</li>\n<li>Represent Headway’s measurement philosophy internally and externally when appropriate.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).</li>\n<li>Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.</li>\n<li>Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.</li>\n<li>Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.</li>\n<li>Track record of setting org-wide standards that materially improved decision quality and execution velocity.</li>\n<li>Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.</li>\n<li>Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.</li>\n<li>Motivation for our mission: improving access and affordability in mental healthcare.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.</li>\n<li>Experience with experimentation under interference and network effects.</li>\n<li>Experience building experimentation platforms, analysis libraries, or statistical tooling used 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In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. 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As a member of this team, you&#39;ll design, build, and operate the foundational platform that allows our services to run in an isolated, highly available, and globally distributed fashion.</p>\n<p>As a Senior Platform Software Engineer, you&#39;ll have an outsized impact on every dbt Labs customer, tackling complex distributed systems problems while collaborating across product engineering, security, and infrastructure teams. This is a hands-on role where whatever you work on touches all of dbt Cloud and all of our customers at the same time.</p>\n<p>In this role, you can expect to:</p>\n<ul>\n<li>Join a senior, distributed team: Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure, working asynchronously with ongoing communication in public Slack channels.</li>\n</ul>\n<ul>\n<li>Architect and build platform infrastructure: Design, build, and operate foundational components of our multi-cell platform, including service routing, cloud networking, and the control plane for managing account lifecycles.</li>\n</ul>\n<ul>\n<li>Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale.</li>\n</ul>\n<ul>\n<li>Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust.</li>\n</ul>\n<ul>\n<li>Tackle cloud networking challenges: Collaborate on network architecture design, including VPC management, load balancing, DNS, PrivateLink, and service mesh configurations to support single-tenant and multi-tenant deployments.</li>\n</ul>\n<ul>\n<li>Automate for scale: Design and implement automation using tools like Argo Workflows, Kubernetes, and Terraform to enhance the reliability, efficiency, and scalability of our platform.</li>\n</ul>\n<ul>\n<li>Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers.</li>\n</ul>\n<ul>\n<li>Own and troubleshoot: Take strong ownership of distributed systems, troubleshoot complex issues across application and network layers, and participate in an on-call rotation to maintain high availability.</li>\n</ul>\n<p>You are a good fit if you have:</p>\n<ul>\n<li>Worked asynchronously as part of a fully-remote, distributed team</li>\n</ul>\n<ul>\n<li>Are an experienced backend or platform engineer, proficient in languages like Go or Python, with a history of building large-scale distributed systems.</li>\n</ul>\n<ul>\n<li>Have deep expertise in modern cloud infrastructure, including extensive hands-on experience with a major cloud provider (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).</li>\n</ul>\n<ul>\n<li>Thrive at the intersection of product and infrastructure, with a passion for building internal platforms and automation that enhance developer productivity and platform reliability.</li>\n</ul>\n<ul>\n<li>Bring familiarity with cloud networking concepts, including load balancing, DNS, VPCs, proxies, and service mesh technologies , or have a strong desire to learn and grow in this domain.</li>\n</ul>\n<ul>\n<li>Take strong ownership of your work from end-to-end, demonstrating a systematic, customer-focused approach to problem-solving and a track record of contributing to complex technical projects.</li>\n</ul>\n<ul>\n<li>Are a proactive and collaborative communicator, skilled at articulating technical concepts to both technical and non-technical partners and working effectively across team boundaries.</li>\n</ul>\n<p>You&#39;ll have an edge if you have:</p>\n<ul>\n<li>Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations.</li>\n</ul>\n<ul>\n<li>A proven track record of building internal developer platforms or self-service infrastructure that empowers other engineers.</li>\n</ul>\n<ul>\n<li>Hands-on experience with cloud networking tools such as nginx, Istio, Envoy, AWS Transit Gateway, PrivateLink, or Kubernetes CNI/service mesh implementations.</li>\n</ul>\n<ul>\n<li>Deep expertise in multi-cloud strategies, including tools for cross-cloud management and cost optimization.</li>\n</ul>\n<ul>\n<li>Advanced proficiency with our core technologies, including extensive professional experience with both Go and Python, and an interest in or exposure to Rust.</li>\n</ul>\n<ul>\n<li>Advanced industry certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Advanced Networking Specialty, Certified Kubernetes Administrator) or contributions to open-source cloud-native projects.</li>\n</ul>\n<p>Qualifications</p>\n<ul>\n<li>5+ years of professional software engineering experience, particularly in platform, infrastructure, or backend roles supporting SaaS applications.</li>\n</ul>\n<ul>\n<li>A Bachelor&#39;s degree in Computer Science or a related technical field is preferred, though equivalent practical experience or bootcamp completion with relevant work history will be considered.</li>\n</ul>\n<p><strong>Compensation &amp; Benefits</strong></p>\n<p>Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs&#39; total rewards during your interview process.</p>\n<p>In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.</p>\n<ul>\n<li>The typical starting salary range for this role is: $147,000 - $178,000 USD</li>\n</ul>\n<ul>\n<li>The typical starting salary range for this role in the select locations listed is: $163,000 - $198,000 US</li>\n</ul>\n<p>Equity Stake Benefits</p>\n<ul>\n<li>dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!</li>\n</ul>\n<ul>\n<li>Equity or comparable benefits may be offered depending on the legal limitations</li>\n</ul>\n<p><strong>Our Hiring Process (All Video Interviews)</strong></p>\n<ul>\n<li>Interview with a Talent Acquisition Partner (30 Mins)</li>\n</ul>\n<ul>\n<li>Technical Interview with Hiring Manager (60 Mins)</li>\n</ul>\n<ul>\n<li>Team Interviews with Cross Collaborators (4 rounds, 45 Mins each)</li>\n</ul>\n<ul>\n<li>Final Values Interview (30 Mins)</li>\n</ul>\n<p>dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply,we value potential just as much as a perfect resume. Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? 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Experience with authentication/authorization systems (Zanzibar, Authz, etc.) is also a plus. Experience scaling products at hyper-growth startups is highly valued. 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As of February 2025, we&#39;ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers.</p>\n<p>As a Solutions Architect (SA), your role is to help prospects understand the value that dbt Cloud can bring to their organisation. 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Our Talent Acquisition Team can answer questions around dbt Lab&#39;s total rewards during your interview process.</p>\n<p>OTE Range (Select Locations)</p>\n<p>$145,000-$172,000 USD</p>\n<p>OTE Range</p>\n<p>$142,000-$202,000 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_6e715f09-34a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"dbt Labs","sameAs":"https://www.getdbt.com/","logo":"https://logos.yubhub.co/getdbt.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dbtlabsinc/jobs/4671489005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$145,000-$172,000 USD","x-skills-required":["data operations","analytics","modern data warehousing architectures","modern data stack","SQL","dbt"],"x-skills-preferred":["python","pre-sales tech role","ETL tooling"],"datePosted":"2026-04-18T15:56:51.219Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, Texas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data operations, analytics, modern data warehousing architectures, modern data stack, SQL, dbt, python, pre-sales tech role, ETL tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":145000,"maxValue":172000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d9b7d5ae-6bf"},"title":"Software Engineer, Distributed Systems","description":"<p>We&#39;re growing our team of passionate creatives and builders on a mission to make design accessible to all. Our platform helps teams bring ideas to life,whether you&#39;re brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world.</p>\n<p>As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.</li>\n</ul>\n<ul>\n<li>Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.</li>\n</ul>\n<ul>\n<li>Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.</li>\n</ul>\n<ul>\n<li>Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.</li>\n</ul>\n<ul>\n<li>Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.</li>\n</ul>\n<ul>\n<li>Debug and resolve complex production issues that span services and layers of the stack.</li>\n</ul>\n<ul>\n<li>Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.</li>\n</ul>\n<ul>\n<li>Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.</li>\n</ul>\n<ul>\n<li>Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.</li>\n</ul>\n<ul>\n<li>Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.</li>\n</ul>\n<ul>\n<li>Strong system design skills and a track record of architecting resilient production systems.</li>\n</ul>\n<ul>\n<li>Excellent communication skills, with experience collaborating across teams and mentoring others.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.</li>\n</ul>\n<ul>\n<li>Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).</li>\n</ul>\n<ul>\n<li>A history of developing complex, real-time distributed systems at scale.</li>\n</ul>\n<ul>\n<li>A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.</li>\n</ul>\n<ul>\n<li>Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills and a bias for action,especially when tackling high-impact, gritty challenges.</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_d9b7d5ae-6bf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Figma","sameAs":"https://www.figma.com/","logo":"https://logos.yubhub.co/figma.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/figma/jobs/5552549004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$153,000-$376,000 USD","x-skills-required":["distributed systems","cloud-native environments","infrastructure-as-code","container orchestration","Go","TypeScript","Python","Rust","Ruby","system design","resilient production systems"],"x-skills-preferred":["storage platforms","streaming infrastructure","compute orchestration","developer tooling","networking","real-time data systems","traffic management","DDoS mitigation","service mesh technologies","complex distributed systems","developer productivity tools"],"datePosted":"2026-04-18T15:56:47.168Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, cloud-native environments, infrastructure-as-code, container orchestration, Go, TypeScript, Python, Rust, Ruby, system design, resilient production systems, storage platforms, streaming infrastructure, compute orchestration, developer tooling, networking, real-time data systems, traffic management, DDoS mitigation, service mesh technologies, complex distributed systems, developer productivity tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":153000,"maxValue":376000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c4e35d55-5d1"},"title":"Technical Program Manager, Safeguards (Infrastructure & Evals)","description":"<p>Job Title: Technical Program Manager, Safeguards (Infrastructure &amp; Evals)</p>\n<p>About Anthropic</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.</p>\n<p>About the Role</p>\n<p>Safeguards Engineering builds and operates the infrastructure that keeps Anthropic&#39;s AI systems safe in production , the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.</p>\n<p>As a Technical Program Manager for Safeguards Infrastructure and Evals, you&#39;ll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability , owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out.</p>\n<p>Alongside that ongoing operational rhythm, you&#39;ll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth , you need to understand how these systems work well enough to triage effectively, judge what&#39;s actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.</p>\n<p>What You&#39;ll Do:</p>\n<ul>\n<li>Own the Safeguards Engineering ops review</li>\n<li>Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.</li>\n<li>Drive incident tracking and post-mortem execution</li>\n<li>Establish and maintain SLOs with partner teams</li>\n<li>Maintain runbook quality and incident-ownership clarity</li>\n<li>Drive platform migrations and infrastructure projects</li>\n<li>Coordinate evals platform improvements</li>\n</ul>\n<p>You might be a good fit if you:</p>\n<ul>\n<li>Have solid technical program management experience, particularly in operational or infrastructure-heavy environments , you&#39;re comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.</li>\n<li>Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what&#39;s going wrong and why , you don&#39;t need to write the code, but you need to follow the technical thread.</li>\n<li>Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale , these things bother you, and you know how to build the processes and follow-ups that fix them.</li>\n<li>Can work effectively across team boundaries , comfortable coordinating with partner teams (like Inference) where you don&#39;t have direct authority, and skilled at keeping shared work moving through influence and clear communication.</li>\n<li>Thrive in environments where the work shifts between &#39;keep the lights on&#39; and &#39;build something new&#39; , and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.</li>\n<li>Have experience with or strong interest in AI safety , you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have experience with SRE practices, incident management frameworks, or on-call operations at scale.</li>\n<li>Have worked on or with evaluation infrastructure for ML systems , understanding how evals get designed, run, and interpreted.</li>\n<li>Have experience driving infrastructure migrations in complex, multi-team environments , particularly where the migration touches operational systems that can&#39;t go offline.</li>\n<li>Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.</li>\n</ul>\n<p>Deadline to apply: None, applications will be received on a rolling basis.</p>\n<p>The annual compensation range for this role is listed below. For sales roles, the range provided is the role&#39;s On Target Earnings (&#39;OTE&#39;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $290,000-$365,000 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_c4e35d55-5d1","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/5108695008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$290,000-$365,000 USD","x-skills-required":["Technical Program Management","Operational or Infrastructure-heavy environments","Production ML systems","Incident management frameworks","On-call operations","Evaluation infrastructure for ML systems","Infrastructure migrations","Monitoring and alerting tooling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:34.910Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Operational or Infrastructure-heavy environments, Production ML systems, Incident management frameworks, On-call operations, Evaluation infrastructure for ML systems, Infrastructure migrations, Monitoring and alerting tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ed4bd662-c67"},"title":"Senior Solutions Architect, Commercial - San Francisco","description":"<p>We are looking for a Senior Solutions Architect to support our Commercial Sales team in a consumption-based business where customer success drives revenue growth. 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This is a high-velocity, technically deep role.</p>\n<p>You&#39;ll partner with developers, architects, and engineering leaders at fast-moving companies to help them understand how Temporal fits into their existing architecture and prove out value through hands-on technical work.</p>\n<p>You&#39;ll be working in a consumption model where usage grows over time, which means building strong technical relationships and staying engaged with accounts as they scale.</p>\n<p>As an early member of a growing team, you should be comfortable with ambiguity, frequent context switching, and creating leverage through reusable assets that help the broader team move faster.</p>\n<p>Must reside in San Francisco, CA</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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Expertise in identifying product engagement patterns and trends for large scale consumer products. Track record of shipping high-quality products and features at scale. Desire to work in a very fast-paced environment. Ability to turn business and product ideas into engineering solutions. 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Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.</p>\n<p>What we look for in you:</p>\n<p>5+ yrs of industry experience as a Software Engineer. Strong understanding of distributed systems. Lead by example through high quality code and excellent communication skills. Great sense of design, and can bring clarity to complex technical requirements. Treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. Mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</p>\n<p>Nice to haves:</p>\n<p>Experience building ML models and working with ML systems. Experience working on a platform team, and building developer tooling. Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).</p>\n<p>Job ID: P75535</p>\n<p>Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). 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As a key member of our Engineering Foundations team, you will be responsible for developing and maintaining the core platforms, infrastructure, and AI-driven development systems that enable all engineers to build, test, deploy, and operate software with speed and reliability.</p>\n<p>Our Developer Tooling team focuses on the day-to-day developer experience, owning the systems and workflows that directly impact developer velocity, confidence, and code quality. We aim to reduce friction in the development lifecycle so engineers can spend less time dealing with flaky tests, broken environments, and opaque pipelines, and more time shipping high-quality product experiences for patients and providers.</p>\n<p>As a people-first engineering leader, you will care deeply about developer experience and be technically credible and comfortable going deep on CI/CD, test systems, and developer tooling. You will also be AI-forward with hands-on experience using modern AI-assisted development tools and a clear communicator who can align stakeholders and advocate effectively for platform investments.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Lead a team responsible for the core developer experience at Headway</li>\n<li>Own strategy and execution for tooling and systems that every engineer relies on to build, test, and ship software</li>\n<li>Advance AI-powered developer productivity and define how AI is used across engineering</li>\n<li>Operate within Engineering Foundations and partner closely with product engineering leaders and other platform teams</li>\n<li>Run tight feedback loops with the engineering organization and translate developer pain into durable improvements</li>\n</ul>\n<p>If you want to shape how engineers across the company build software every day, lead the adoption of AI as a first-class part of the development workflow, eliminate flaky tests, unreliable CI, and broken local environments, and build tooling that compounds in value as the organization scales, then this role is for you.</p>\n<p><strong>Compensation and Benefits:</strong></p>\n<p>The expected base pay range for this position is $198,000-$237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. 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The challenge is no longer just finding vulnerabilities; it is managing the consequences of finding them at unprecedented scale and speed.</p>\n<p>Traditional coordinated disclosure frameworks were designed for a world where a researcher might find one serious vulnerability every few weeks. 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Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<p>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</p>\n<p>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</p>\n<p>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</p>\n<p>Why Join Us</p>\n<p>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You&#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</p>\n<p>Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</p>\n<p>Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</p>\n<p>Continuous Growth: Every role requires continuous learning and evolution. You&#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.</p>\n<p>Clear Ownership: You&#39;ll know exactly what you&#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</p>\n<p>The role</p>\n<p>We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.</p>\n<p>You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.</p>\n<p>What You’ll Do</p>\n<p>Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality</p>\n<p>Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities</p>\n<p>Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction</p>\n<p>Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)</p>\n<p>Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring</p>\n<p>Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements</p>\n<p>Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly</p>\n<p>Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions</p>\n<p>What We’re Looking For</p>\n<p>5+ years of software engineering experience (Python)</p>\n<p>2+ years of experience managing or leading engineers in fast-paced environments</p>\n<p>Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)</p>\n<p>Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)</p>\n<p>Background in infrastructure, developer tooling, or distributed systems</p>\n<p>Strong debugging skills and systems thinking across layered, containerized environments</p>\n<p>Ability to operate in ambiguity and translate loosely defined problems into clear execution plans</p>\n<p>Excellent communication and stakeholder management skills</p>\n<p>Preferred</p>\n<p>Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)</p>\n<p>Familiarity with cloud infrastructure (GCP or AWS)</p>\n<p>Prior experience in AI/ML platforms, data companies, or research environments</p>\n<p>Contributions to open-source projects in RL, agents, or developer tooling</p>\n<p>Why This Role Matters</p>\n<p>RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.</p>\n<p>In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.</p>\n<p>About Alignerr</p>\n<p>Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.</p>\n<p>Life at Labelbox</p>\n<p>Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</p>\n<p>Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility</p>\n<p>Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</p>\n<p>Growth: Career advancement opportunities directly tied to your impact</p>\n<p>Vision: Be part of building the foundation for humanity&#39;s most transformative technology</p>\n<p>Our Vision</p>\n<p>We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.</p>\n<p>Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.</p>\n<p>Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.</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_fe04c8cc-782","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Labelbox","sameAs":"https://www.labelbox.com/","logo":"https://logos.yubhub.co/labelbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/labelbox/jobs/5101195007","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$220,000 USD","x-skills-required":["Software engineering experience (Python)","Containerization and sandboxing (Docker, Firecracker, or similar)","Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)","Infrastructure, developer tooling, or distributed systems","Debugging skills and systems thinking"],"x-skills-preferred":["Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)","Familiarity with cloud infrastructure (GCP or AWS)","Prior experience in AI/ML platforms, data companies, or research environments","Contributions to open-source projects in RL, agents, or developer tooling"],"datePosted":"2026-04-18T15:56:05.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering experience (Python), Containerization and sandboxing (Docker, Firecracker, or similar), Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces), Infrastructure, developer tooling, or distributed systems, Debugging skills and systems thinking, Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench), Familiarity with cloud infrastructure (GCP or AWS), Prior experience in AI/ML platforms, data companies, or research environments, Contributions to open-source projects in RL, agents, or developer tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_baad2598-8bc"},"title":"Staff / Senior Software Engineer, Compute Capacity","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic&#39;s Accelerator Capacity Engineering (ACE) team manages one of the largest and fastest-growing accelerator fleets in the industry. As an engineer on ACE, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on.</p>\n<p><strong>What This Team Owns</strong></p>\n<p>The team’s work spans three functional areas: data infrastructure, fleet observability, and compute efficiency. Depending on your background and interests, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:</p>\n<p><strong>Data Infrastructure</strong></p>\n<p>Collecting, normalizing, and serving the fleet-wide data that powers everything else. This means building pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalizing billing and usage data across cloud providers, and maintaining the BigQuery layer that the rest of the org queries against.</p>\n<p><strong>Fleet Observability</strong></p>\n<p>Making the state of the accelerator fleet legible and actionable in real time. This means building cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and driving systemic improvements to scheduling and fragmentation.</p>\n<p><strong>Compute Efficiency</strong></p>\n<p>Measuring and improving how effectively every major workload uses the hardware it’s running on. This means instrumenting utilization metrics across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and collaborating directly with system-owning teams to close efficiency gaps.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Build and operate data pipelines that ingest accelerator occupancy, utilization, and cost data from multiple cloud providers into BigQuery.</li>\n<li>Develop and maintain observability infrastructure , Prometheus recording rules, Grafana dashboards, and alerting systems , that surface actionable signals about fleet health, occupancy, and efficiency.</li>\n<li>Instrument and analyze compute efficiency metrics across training, inference, and eval workloads.</li>\n<li>Build internal tooling and platforms that enable capacity planning, workload attribution, and cluster debugging.</li>\n<li>Operate Kubernetes-native systems at scale , deploying data collection agents, managing workload labeling infrastructure, and understanding how taints, reservations, and scheduling affect capacity.</li>\n<li>Normalize and reconcile data across heterogeneous sources , including AWS, GCP, and Azure billing exports, vendor-specific telemetry formats, and internal systems with different schemas and billing arrangements.</li>\n</ul>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>5+ years of software engineering experience with a strong track record building and operating production systems.</li>\n<li>Kubernetes fluency at operational depth , you’ve operated production K8s at meaningful scale, not just written manifests.</li>\n<li>Data pipeline engineering experience , designing, building, and owning the full lifecycle of production data pipelines.</li>\n<li>Observability tooling experience , Prometheus, PromQL, and Grafana are in the critical path for this team.</li>\n<li>Python and SQL at production quality.</li>\n<li>Familiarity with at least one major cloud provider (AWS, GCP, or Azure) at the infrastructure level , compute, billing, usage APIs, cost management tooling.</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Multi-cloud data ingestion experience , especially working with AWS and GCP APIs, billing exports, or vendor-specific telemetry formats.</li>\n<li>Accelerator infrastructure familiarity , GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience working with ML training/inference systems at the hardware level.</li>\n<li>Performance engineering and benchmarking experience , building benchmark harnesses, establishing baselines, reasoning about compute efficiency (FLOPs utilization, memory bandwidth, interconnect throughput), and working with system teams to diagnose and improve performance.</li>\n<li>Data-as-product thinking , experience building internal data products with self-service access, schema contracts, API serving, documentation,</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_baad2598-8bc","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/5126702008","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Kubernetes","Python","SQL","Prometheus","Grafana","BigQuery","Cloud computing","Data pipeline engineering","Observability tooling"],"x-skills-preferred":["Multi-cloud data ingestion","Accelerator infrastructure","Performance engineering","Data-as-product thinking"],"datePosted":"2026-04-18T15:56:02.706Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Python, SQL, Prometheus, Grafana, BigQuery, Cloud computing, Data pipeline engineering, Observability tooling, Multi-cloud data ingestion, Accelerator infrastructure, Performance engineering, Data-as-product thinking"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cc9baccc-385"},"title":"IT Support Specialist","description":"<p>We&#39;re seeking an IT Support Specialist to join our IT team. This role is based in Atlanta, GA and will provide hands-on, in-person support for our office in the Cumberland neighborhood, while also partnering with our distributed IT and Security teams to support employees remotely as needed.</p>\n<p>This is a mid-level individual contributor role. You&#39;ll be expected to independently resolve the majority of day-to-day support needs, contribute to improving IT operations, and escalate appropriately when issues require deeper specialization.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Triage, prioritize, and resolve incoming IT support requests with a strong focus on employee experience</li>\n<li>Provide primary support for endpoints (macOS &amp; Windows) and common SaaS tools (Google Workspace, Okta, Slack, Zoom, Atlassian, etc.)</li>\n<li>Own on-site support for the Atlanta office:</li>\n<li>Support conference room A/V and meeting reliability (Zoom Rooms, displays, microphones, etc.)</li>\n<li>Provide basic office network support (switches, access points, ISP handoff), and coordinate escalations with vendors or internal owners as needed</li>\n<li>Manage office IT inventory (spares, loaners, adapters, cables)</li>\n<li>Coordinate vendor work and building IT needs as required</li>\n<li>Execute employee lifecycle tasks (onboarding, offboarding, access changes) with strong attention to security and least-privilege</li>\n<li>Assist with hardware procurement lifecycle (ordering, imaging, deployment, repairs, returns)</li>\n<li>Write and maintain documentation for standard operating procedures, how-tos, and common fixes</li>\n<li>Identify recurring issues and propose process improvements, automation, or tooling changes to reduce ticket volume</li>\n<li>Partner with Security, HR, Engineering, and Executive Assistants on cross-functional projects and incident response as needed</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3+ years of experience in IT Support / IT Operations (or equivalent practical experience)</li>\n<li>Strong working knowledge of macOS and Windows support in a corporate environment</li>\n<li>Experience supporting a modern SaaS stack (Google Workspace, Slack, Zoom, Atlassian, Okta, etc.)</li>\n<li>Ability to troubleshoot systematically across hardware, OS, network, identity, and application layers</li>\n<li>Comfortable providing in-person support and communicating clearly with both technical and non-technical employees</li>\n<li>Strong ownership mindset, good judgment, and the ability to work independently while keeping stakeholders informed</li>\n<li>Solid documentation habits and a desire to improve how work gets done, not just close tickets</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with device management tooling (e.g., MDM, endpoint security tooling)</li>\n<li>Experience supporting identity and access management workflows (Okta or Entra ID)</li>\n<li>Conference room / A/V support experience (Zoom Rooms or similar)</li>\n<li>Scripting or automation experience sufficient to streamline repetitive tasks</li>\n<li>Experience supporting executives and high-priority stakeholders</li>\n</ul>\n<p>Compensation:</p>\n<ul>\n<li>The estimated pay range for this role is $105,000 - $120,000, depending on experience and location.</li>\n<li>Additionally, this role is eligible to participate in Temporal&#39;s equity plan.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Unlimited PTO, 12 Holidays + 2 Floating Holidays</li>\n<li>100% Premiums Coverage for Medical, Dental, and Vision</li>\n<li>AD&amp;D, LT &amp; ST Disability, and Life Insurance (Standard &amp; Supplemental Available)</li>\n<li>Empower 401K Plan</li>\n<li>Additional Perks for Learning &amp; Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!</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_cc9baccc-385","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Temporal","sameAs":"https://temporal.io/","logo":"https://logos.yubhub.co/temporal.io.png"},"x-apply-url":"https://job-boards.greenhouse.io/temporaltechnologies/jobs/5092264007","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$105,000 - $120,000","x-skills-required":["macOS support","Windows support","Google Workspace","Okta","Slack","Zoom","Atlassian","endpoint security","device management","identity and access management","troubleshooting","communication","documentation","process improvement","automation","tooling changes"],"x-skills-preferred":["device management tooling","identity and access management workflows","conference room / A/V support","scripting or automation","executive support"],"datePosted":"2026-04-18T15:56:01.569Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, GA"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"macOS support, Windows support, Google Workspace, Okta, Slack, Zoom, Atlassian, endpoint security, device management, identity and access management, troubleshooting, communication, documentation, process improvement, automation, tooling changes, device management tooling, identity and access management workflows, conference room / A/V support, scripting or automation, executive support","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":105000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1ff7f0a-6b7"},"title":"Support Vendor Operations Manager","description":"<p>As the Support Vendor Operations Manager, you&#39;ll be the program management engine behind Anthropic&#39;s vendor and contractor operations , driving day-to-day performance, SLA attainment, quality, and knowledge transfer across our partner sites. You&#39;ll work closely with vendor site leads and internal stakeholders to make sure our partners have what they need to perform, stay current on Claude&#39;s products, and deliver an excellent customer experience.</p>\n<p>Performance &amp; SLA Management: Monitor day-to-day vendor and contractor performance against SLAs and KPIs across all partner sites; surface risks early and drive corrective action Run weekly and monthly performance reviews with vendor site leads; track trends and follow through on action items Partner with Support Operations and WFM on capacity, scheduling, and shrinkage issues that affect SLA attainment Escalate persistent performance issues to the Vendor Management Lead with clear data and recommended next steps</p>\n<p>Quality Program: Run the quality program for vendor and contractor agents: calibration sessions, audits, and scorecards aligned to Anthropic&#39;s standards for accuracy, safety, and brand voice Close the loop between QA findings and coaching, partnering with vendor site leads on agent-level performance Track CSAT and quality trends and translate them into concrete improvement plans</p>\n<p>Knowledge Transfer &amp; Enablement: Own the knowledge transfer process for new product launches, feature releases, and policy changes , making sure vendor and contractor teams are ready on day one Maintain vendor- and contractor-facing resources (runbooks, macros, knowledge base articles, training materials) and keep them current as products evolve Partner with Support Operations and Learning &amp; Enablement to deliver ongoing enablement and refresher training Serve as the day-to-day point of contact for vendor and contractor questions on product, process, and tooling</p>\n<p>Nice to Have: Experience with tiered or paid enterprise support models Familiarity with AI-augmented support workflows Background working with follow-the-sun vendor operations across AMER, EMEA, and APAC Experience with Intercom or similar support tooling</p>\n<p>The annual compensation range for this role is $165,000-$210,000 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_b1ff7f0a-6b7","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/5153690008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$165,000-$210,000 USD","x-skills-required":["program management","SLA management","quality assurance","knowledge transfer","enablement"],"x-skills-preferred":["tiered support models","AI-augmented support workflows","follow-the-sun operations","Intercom","support tooling"],"datePosted":"2026-04-18T15:55:57.308Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"program management, SLA management, quality assurance, knowledge transfer, enablement, tiered support models, AI-augmented support workflows, follow-the-sun operations, Intercom, support tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f41dfcc1-c63"},"title":"Strategic Finance","description":"<p>We are seeking a Strategic Finance professional to join our team. As a member of our Strategic Finance team, you will be responsible for driving alignment on KPIs and key metrics to monitor business performance, drive growth initiatives, and provide visibility into operating performance.</p>\n<p>In your first 12 months, you will:</p>\n<ul>\n<li>Own and materially improve Figma&#39;s annual planning and forecasting process</li>\n<li>Influence resourcing and investment decisions across the Sales business</li>\n<li>Partner with Strategic Finance, Data Science, and RevOps to improve our ARR data quality and forecasting</li>\n</ul>\n<p>This is a full-time role that can be held from one of our US hubs (SF / NY) or remotely in the United States.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Drive alignment on KPIs and key metrics to monitor business performance, drive growth initiatives, and provide visibility into operating performance</li>\n<li>Build annual operating plans, quarterly, and monthly financial forecasts</li>\n<li>Develop cross-functional partnerships across Figma to formulate business insight and inform executive decision making</li>\n<li>Own, run, and improve financial processes that support Figma&#39;s business</li>\n<li>Partner with Strategic Finance, Data Science, and RevOps to improve our ARR data quality and forecasting</li>\n<li>Prepare and deliver presentations for the Executive Team, including the CFO, CMO, and CRO</li>\n<li>Experiment with AI-driven solutions to automate workflows, enhance accuracy, and elevate the speed and impact of Strategic Finance operations</li>\n<li>Help scale financial operating rhythms as Figma continues to grow</li>\n<li>Become a trusted thought partner to functional leaders and the executive team</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of relevant experience in investment banking, private equity, strategic finance, Big 4 audit, business operations, or related fields</li>\n<li>Experience in financial planning and creating data-driven analysis</li>\n<li>Demonstrated ability to build processes from scratch and distill complex issues into structured frameworks and develop concrete action plans</li>\n<li>Experience problem-solving independently, organizing workload and priorities, and completing tasks on time</li>\n<li>Experience building relationships and communicating with stakeholders across all levels and functions</li>\n<li>Genuine curiosity and passion in the work that you do</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience at a high growth B2B SaaS company, with bonus points for GTM experience</li>\n<li>SQL/AI tooling experience and deep experience working with large data-sets</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>If based in Figma&#39;s San Francisco or New York hub offices, this role has an annual base salary range of $115,000-$245,000 USD. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.</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_f41dfcc1-c63","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Figma","sameAs":"https://www.figma.com/","logo":"https://logos.yubhub.co/figma.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/figma/jobs/5792631004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$115,000-$245,000 USD","x-skills-required":["financial planning","data-driven analysis","process improvement","cross-functional partnership","executive decision making"],"x-skills-preferred":["SQL/AI tooling","large data-sets"],"datePosted":"2026-04-18T15:55:50.041Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"financial planning, data-driven analysis, process improvement, cross-functional partnership, executive decision making, SQL/AI tooling, large data-sets","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":115000,"maxValue":245000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_10d097fc-787"},"title":"Blockchain Security Engineer","description":"<p>Ready to be pushed beyond what you think you’re capable of?</p>\n<p>At Coinbase, our mission is to increase economic freedom in the world.</p>\n<p>We&#39;re seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.</p>\n<p>As a Blockchain Security Engineer on the Decentralized Financial Security Team, you will work closely with engineers, technical product managers and senior leadership on designing secure products from the ground up.</p>\n<p>You will be responsible for performing secure design reviews, threat modeling, vendor reviews, working with vendors, and secure code reviews for upcoming Coinbase products or features that will be used by millions of customers.</p>\n<p>You will have an opportunity to work on the latest technology and provide leadership visibility of the current risk posture.</p>\n<p>You’ll also have an opportunity to pitch, lead and participate in cross-functional initiatives that uplevel the security of all Coinbase products and services.</p>\n<p>To be completed by all business teams except Eng:</p>\n<p>Perform design reviews, threat modeling and code reviews of upcoming features and products.</p>\n<p>Identify top product risk areas and lead risk-reduction initiatives with cross-functional teams.</p>\n<p>Improve 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and drive, including the ability to work independently and unblock yourself.</p>\n<p>Experience with using AI/agentic tooling (Claude Code, Cursor, GPT Codex, etc.)</p>\n<p>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</p>\n<p>Nice to haves:</p>\n<p>MS or PhD in Computer Science or related field.</p>\n<p>Experience in at least one of: Snowflake, Databricks, Dune.</p>\n<p>Experience automating manual processes or carrying out process improvements.</p>\n<p>Experience in Blockchain, Exchange, or Decentralized Exchange Security.</p>\n<p>Job ID: P76318</p>\n<p>#LI-Remote</p>\n<p>Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.</p>\n<p>Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).</p>\n<p>Annual base salary range (excluding equity and bonus):</p>\n<p>$152,405-$179,300 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_10d097fc-787","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/","logo":"https://logos.yubhub.co/coinbase.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coinbase/jobs/7701657","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$152,405-$179,300 USD","x-skills-required":["blockchain","security","threat modeling","design review","vendor review","code review","AI/agentic tooling","generative AI 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As a member of the Build Systems team, you&#39;ll drive technical roadmap and strategy, partner with cross-functional teams, and lead complex initiatives reducing build/test times and improving CI reliability.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Driving technical roadmap and strategy for the Build Systems team</li>\n<li>Partnering with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions</li>\n<li>Leading complex, multi-quarter initiatives reducing build/test times and improving CI reliability</li>\n<li>Designing, building, and maintaining modern developer tools including scalable build systems, distributed CI platforms, and test frameworks</li>\n<li>Architecting and implementing large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency</li>\n<li>Mentoring and upleveling the team through technical guidance, code reviews, and architectural leadership</li>\n</ul>\n<p>We&#39;re looking for someone with 8+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams. 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The Quality Platform team is reimagining how software is built, tested, and shipped at scale. We sit at the intersection of Infrastructure, Developer Experience, and Applied AI, building the systems that enable thousands of engineers across Airbnb to ship high-quality software with speed and total confidence.</p>\n<p>As a cornerstone of Airbnb’s Engineering Hub in Brazil, this team plays a key role in expanding our global platform capabilities while building a high-impact local engineering presence. You will join at a defining moment, helping to shape both the technical direction of the platform and the culture of the Brazil hub.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead a High-Impact Team: Build and grow a world-class team of engineers. Foster a culture of Engineering Craft, ownership, and operational excellence.</li>\n<li>Drive Full-Cycle Platform Strategy: Define the roadmap for a unified quality platform that integrates Shift-Left methodologies with robust E2E automation, ensuring high-fidelity signals at every stage.</li>\n<li>Transform Quality with AI: Lead the adoption of AI-native approaches, leveraging LLMs for autonomous test discovery, predictive failure analysis, and self-healing E2E automation.</li>\n<li>Champion &#39;Quality by Design&#39;: Influence how large-scale systems are built across Airbnb, ensuring that testability, modularity, and scalability are fundamental parts of our global architecture.</li>\n<li>Scale the Brazil Hub: Partner with the Brazil Site Lead and global leaders to establish operational rhythms, mentor talent, and build the Airbnb engineering brand in the region.</li>\n</ul>\n<p>A Typical Day:</p>\n<ul>\n<li>Strategic Leadership: Review technical designs and partner with tech leads to ensure our platform provides early feedback to developers while maintaining comprehensive E2E coverage.</li>\n<li>People &amp; Culture: Coach and mentor engineers, driving career growth and fostering an inclusive team environment built on trust and belonging.</li>\n<li>Operational Excellence: Identify and resolve systemic bottlenecks in our CI/CD pipelines and testing environments to improve developer velocity and release confidence.</li>\n<li>Cross-Functional Influence: Collaborate with global Infrastructure, Product, and Data leaders to promote full-cycle quality standards and align on shared technical priorities.</li>\n<li>Strategic Sourcing: Participate in recruiting, onboarding, and community-building efforts to scale our presence in the Brazil market.</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>Leadership Mastery: 3+ years of engineering management and 7+ years in software engineering, with a proven track record of leading high-performing teams.</li>\n<li>Platform &amp; Infrastructure Mindset: Deep experience building or leading infrastructure, developer tooling, or large-scale distributed systems that serve internal engineering customers.</li>\n<li>Full-Cycle Testing Knowledge: A strong understanding of the entire testing pyramid, including unit, integration, and high-scale E2E automation frameworks.</li>\n<li>Strategic Execution: Demonstrated ability to lead through ambiguity and drive complex technical strategies across geographic and organizational boundaries.</li>\n<li>Global Collaboration: Exceptional communication skills in English, with the ability to influence technical roadmaps and stakeholders across the globe.</li>\n<li>Technical Pluses: Experience with Mobile Development (iOS/Android) or Applied AI/ML is highly valued but not required.</li>\n<li>Commitment to Craft: A passion for engineering excellence and a curiosity for how AI can redefine the relationship between speed and quality.</li>\n</ul>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.</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_4a167f6d-b06","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7434498","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Leadership","Engineering Management","Software Engineering","Infrastructure","Developer Tooling","Distributed Systems","Full-Cycle Testing","Unit Testing","Integration Testing","E2E Automation","Strategic Execution","Global Collaboration","Communication"],"x-skills-preferred":["Mobile Development","Applied AI/ML"],"datePosted":"2026-04-18T15:55:30.483Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São Paulo, Brazil"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Leadership, Engineering Management, Software Engineering, Infrastructure, Developer Tooling, Distributed Systems, Full-Cycle Testing, Unit Testing, Integration Testing, E2E Automation, Strategic Execution, Global Collaboration, Communication, Mobile Development, Applied AI/ML"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca221b6f-dca"},"title":"Technical Program Manager, Safeguards (Infrastructure & Evals)","description":"<p><strong>About the Role</strong></p>\n<p>Safeguards Engineering builds and operates the infrastructure that keeps Anthropic&#39;s AI systems safe in production. 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This is a hands-on role designed for a student interested in the intersection of Artificial Intelligence and Digital Content.</p>\n<p>As an intern, you will play a vital role in helping us maintain a high-quality, automated content ecosystem by ensuring that our AI tools are performing correctly and our content remains accurate. You will work closely with our team to learn how AI agents are built, how to audit them for accuracy, and how to maintain organisational standards in a fast-paced environment.</p>\n<p>This role is perfect for someone who is comfortable with technology, loves to organise information, and is eager to see how Large Language Models (LLMs) are used in a real business setting.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>AI Agent Testing: Run &#39;test drives&#39; on our AI agents to ensure they are following instructions and flag any instances where the AI goes off-track.</li>\n<li>Content Verification: Review AI-generated drafts to check for factual accuracy, tone, and formatting, making manual updates where necessary to meet our standards.</li>\n<li>Content Gap Analysis: Use specialised tools to help identify topics we haven&#39;t covered yet and suggest ways to make our existing content more helpful.</li>\n<li>Audit Assistance: Support our governance process by using AI tools to scan our content library, helping us identify outdated information that needs a refresh.</li>\n<li>Workflow Maintenance: Help keep our &#39;instruction manuals&#39; (for both humans and AI) up to date as our brand guidelines and technology evolve.</li>\n<li>Stakeholder Support: Help prepare simple reports or impact summaries to show business partners how our AI content is performing.</li>\n</ul>\n<p>Who We Are Looking For:</p>\n<ul>\n<li>Currently pursuing a Bachelor&#39;s degree (graduating in December 2026 or Spring 2027) in, Data Science, Information Management, Library and Information Science, Digital Media, Cognitive Science, or a related field that bridges technology and communication.</li>\n<li>Experience with AI Prompt Engineering, LLM Familiarity, Data Tooling and Technical Troubleshooting</li>\n<li>Hyper-detail oriented, Process minded, Analytical thinking</li>\n<li>Inquisitive Nature, Adaptability, Clear communication</li>\n</ul>\n<p>Okta&#39;s Intern Program</p>\n<p>As an intern, you&#39;ll do real work that matters. 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to &quot;Claude notices what you need&quot;.\\n\\nVertical AI Products:\\n\\nPurpose-built experiences for specific industries where Claude can transform complex professional work.\\n\\nWe&#39;re currently building for three verticals, with more to come:\\n\\n- Financial Services , analysts and bankers building models, memos, and decks under deadline.\\n\\nWe&#39;re building retrieval, analysis, and document generation that holds up to executive review.\\n\\n- Healthcare , clinical documentation, prior auth, and care coordination.\\n\\nWork where accuracy isn&#39;t a feature, it&#39;s the whole product , and where compliance is part of the engineering.\\n\\n- Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it&#39;s wrong.\\n\\nEnterprise Foundations:\\n\\nYou&#39;ll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it&#39;s being used.\\n\\nThis is the work that turns &quot;we love the demo&quot; into a signed enterprise deal.\\n\\nThe role is part product, part platform.\\n\\nYou&#39;ll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.\\n\\nGrowth:\\n\\nDrive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations.\\n\\nAt Anthropic, we&#39;re not just building AI tools; we&#39;re reimagining how AI can enhance and expand its user base!\\n\\nAs a member of the growth team, you will have a unique opportunity to shape our growth strategy.\\n\\nYou will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.\\n\\n## Requirements\\n\\n- Have 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level\\n\\n- Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack\\n\\n- Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. 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You should be comfortable operating what you build, on-call, incident response, and production ownership.</p>\n<p>AI-native workflow is a must, and you should actively use LLMs and AI-assisted tools in your daily development.</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_c76014f6-557","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/4675293008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Go","Distributed systems","Kubernetes","Cloud-native infrastructure","Developer-facing tooling","Code quality","Testing","Code review","Sustainable engineering practices"],"x-skills-preferred":["LLMs","AI-assisted tools","Real-time voice or streaming media systems","Hands-on with LLM integration","Serverless or function-as-a-service platforms","Workflow engines","Infrastructure-as-code and GitOps workflows"],"datePosted":"2026-04-18T15:55:08.528Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada (Remote)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Distributed systems, Kubernetes, Cloud-native infrastructure, Developer-facing tooling, Code quality, Testing, Code review, Sustainable engineering practices, LLMs, AI-assisted tools, Real-time voice or streaming media systems, Hands-on with LLM integration, Serverless or function-as-a-service platforms, Workflow engines, Infrastructure-as-code and GitOps workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a8dfaa3-f2f"},"title":"Staff+ Software Engineer, Full-stack","description":"<p><strong>About the role</strong></p>\n<p>Anthropic&#39;s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You&#39;ll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.</p>\n<p>You&#39;ll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.</p>\n<p>We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they&#39;ll have the greatest impact and growth potential.</p>\n<p><strong>Developer Experience</strong></p>\n<p>You&#39;ll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what&#39;s possible with our models and API. 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On this team you will systematically understand why Enterprise users aren&#39;t activating, what&#39;s blocking adoption, and building the capabilities to close those gaps.</p>\n<p>Some of our focuses are:</p>\n<ul>\n<li>Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.</li>\n</ul>\n<ul>\n<li>Context , enterprise knowledge, organisational memory, and the retrieval layer that makes Claude genuinely aware of a company&#39;s people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.</li>\n</ul>\n<ul>\n<li>Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. 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Committed to your customer’s success long after the initial sale you approach the sales process with empathy.</li>\n</ul>\n<p>What We&#39;re Looking For:</p>\n<ul>\n<li>7+ years of experience in B2B SaaS Sales</li>\n</ul>\n<ul>\n<li>2+ years of experience selling to companies +1000 employees and an understanding of how to navigate buying process at larger organizations</li>\n</ul>\n<ul>\n<li>Demonstrated understanding of MEDDPICC sales methodology</li>\n</ul>\n<ul>\n<li>Experience working with IT, Security, GRC or similar technical buyers (experience selling cybersecurity is a plus)</li>\n</ul>\n<ul>\n<li>Ability to be nimble and a desire to be in a start-up environment where resources are still being built or refined</li>\n</ul>\n<ul>\n<li>Salesforce and tooling hygiene and deal management rigor</li>\n</ul>\n<ul>\n<li>Strong communication skills and ability to partner with cross-functional teams</li>\n</ul>\n<p>What We Value</p>\n<p>We also care about whether you would be a good fit for Lumos based on the values and characteristics that define how we achieve outcomes, not just your resume.</p>\n<p>Pay Range</p>\n<p>OTE: $260,000 - $320,000 (~50/50 split between base pay and variable earnings). Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience.</p>\n<p>Benefits and Perks</p>\n<ul>\n<li>Remote work culture (+/-4 hours Pacific Time)</li>\n</ul>\n<ul>\n<li>Medical, Vision, &amp; Dental coverage covered by Lumos</li>\n</ul>\n<ul>\n<li>Company and team bonding trips throughout the year fully covered by Lumos</li>\n</ul>\n<ul>\n<li>Flexible PTO, with minimum time off to make sure you are rested and able to be at your best</li>\n</ul>\n<ul>\n<li>Up to 16 weeks for expecting parents</li>\n</ul>\n<ul>\n<li>Monthly wellness stipend</li>\n</ul>\n<ul>\n<li>401k matching 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_dbb26b94-b40","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lumos","sameAs":"https://lumos.com","logo":"https://logos.yubhub.co/lumos.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lumos/jobs/7631907003","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$260,000 - $320,000","x-skills-required":["B2B SaaS Sales","MEDDPICC sales methodology","Salesforce","Tooling hygiene and deal management rigor","Strong communication skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:40.836Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"B2B SaaS Sales, MEDDPICC sales methodology, Salesforce, Tooling hygiene and deal management rigor, Strong communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":260000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b2637f59-e14"},"title":"Full-Stack Software Engineer, Reinforcement Learning","description":"<p>As a Full-Stack Software Engineer in RL, you&#39;ll build the platforms, tools, and interfaces that power environment creation, data collection, and training observability. The quality of Claude&#39;s next generation depends on the quality of the data we train it on , and the systems you build are what make that data possible. You&#39;ll own product surfaces end-to-end , from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day.\\n\\nYou don&#39;t need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. Claude writes a lot of the code we commit, which means the bottleneck isn&#39;t typing , it&#39;s judgment, taste, and the ability to react to what researchers need next.\\n\\nYou&#39;ll iterate on data collection strategies to distill the knowledge of thousands of human experts around the world into our models, and you&#39;ll do it in a loop that closes in hours and days, not quarters or months.\\n\\nAnthropic&#39;s Reinforcement Learning organization leads the research and development that trains Claude to be capable, reliable, and safe. We&#39;ve contributed to every Claude model, with significant impact on the autonomy and coding capabilities of our most advanced models.\\n\\nOur work spans teaching models to use computers effectively, advancing code generation through RL, pioneering fundamental RL research for large language models, and building the scalable training methodologies behind our frontier production models.\\n\\nThe RL org is organized around four goals: solving the science of long-horizon tasks and continual learning, scaling RL data and environments to be comprehensive and diverse, automating software engineering end-to-end, and training the frontier production model.\\n\\nOur engineering teams build the environments, evaluation systems, data pipelines, and tooling that make all of this possible , from realistic agentic training environments and scalable code data generation to human data collection platforms and production training operations.\\n\\n### Responsibilities\\n\\n<em>   Build and extend web platforms for RL environment creation, management, and quality review , including environment configuration, versioning, and validation workflows\\n</em>   Develop vendor-facing interfaces and tooling that let external partners create, submit, and iterate on training environments with minimal friction\\n<em>   Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms that surface reward signal integrity issues early\\n</em>   Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking\\n<em>   Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure\\n</em>   Build and expand scalable code data generation pipelines, producing diverse programming tasks with robust reward signals across languages and difficulty levels\\n<em>   Develop onboarding automation and documentation tooling so new vendors and internal users ramp up in hours, not weeks\\n</em>   Partner closely with RL researchers, data operations, and vendor management to translate ambiguous requirements into well-scoped, well-designed products\\n\\n### Requirements\\n\\n<em>   Strong software engineering fundamentals and real full-stack range , you&#39;re comfortable owning a surface from database schema to frontend\\n</em>   Proficient in Python and a modern web stack (React, TypeScript, or similar)\\n<em>   Track record of shipping systems that solved a hard problem, not just shipped on time , e.g. you built the thing that made your team 10x faster, or the internal tool nobody thought was possible\\n</em>   Operate with high agency: you identify what needs to be done and drive it forward without waiting for a ticket\\n<em>   Found yourself wondering &quot;why isn&#39;t this moving faster?&quot; in previous roles , and then have done something about it\\n</em>   Care about UX and can build interfaces that are intuitive for both technical researchers and non-technical labelers\\n<em>   Communicate clearly with researchers, operations teams, and engineers, and can turn vague asks into well-scoped work\\n</em>   Thrive in a fast-moving environment where priorities shift, Claude is your pair programmer, and the next problem is often one nobody has solved before\\n<em>   Care about Anthropic&#39;s mission to build safe, beneficial AI and want your work to contribute directly to it\\n\\n### Nice to Have\\n\\n</em>   Built data collection, labeling, or annotation platforms , ideally ones that had to scale across many vendors or many task types\\n<em>   Background building multi-tenant platforms with role-based access, audit trails, and vendor management workflows\\n</em>   Experience with cloud infrastructure (GCP or AWS), Docker, and CI/CD pipelines\\n<em>   Familiarity with LLM training, fine-tuning, or evaluation workflows\\n</em>   Experience with async Python (Trio, asyncio) or high-throughput API design\\n<em>   Background in dashboards, monitoring, or observability tooling\\n</em>   Experience working directly with external vendors or partners on technical integrations\\n<em>   A background that isn&#39;t a straight line , e.g. math or physics into SWE, competitive programming, research into engineering, or a side project that outgrew its scope\\n\\n### Representative Projects\\n\\n</em>   Building a unified platform for human data collection that integrates labeling workflows, vendor management, and QA for complex agentic tasks\\n<em>   Developing vendor onboarding automation that handles Docker registry access, API token management, and environment validation\\n</em>   Creating evaluation and observability dashboards that catch reward hacks, measure environment difficulty, and give real-time feedback during production training\\n<em>   Building environment quality review workflows that let researchers browse, grade, and provide feedback on training environments\\n</em>   Developing automated environment quality pipelines that validate correctness and difficulty calibration before environments hit production training\\n*   Building internal tools for browsing and analyzing training run results, environment statistics, and data collection progress</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_b2637f59-e14","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/5186067008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["Python","Modern web stack","React","TypeScript","Strong software engineering fundamentals","Full-stack range","Database schema","Frontend","Cloud infrastructure","Docker","CI/CD pipelines","LLM training","Fine-tuning","Evaluation workflows","Async Python","High-throughput API design","Dashboards","Monitoring","Observability tooling"],"x-skills-preferred":["Data collection","Labeling","Annotation platforms","Multi-tenant platforms","Role-based access","Audit trails","Vendor management workflows"],"datePosted":"2026-04-18T15:54:27.784Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Modern web stack, React, TypeScript, Strong software engineering fundamentals, Full-stack range, Database schema, Frontend, Cloud infrastructure, Docker, CI/CD pipelines, LLM training, Fine-tuning, Evaluation workflows, Async Python, High-throughput API design, Dashboards, Monitoring, Observability tooling, Data collection, Labeling, Annotation platforms, Multi-tenant platforms, Role-based access, Audit trails, Vendor management workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4a77b359-de1"},"title":"Principal Engineer, Web Platform – Team Web","description":"<p>As our Principal Engineer, you will shape the technical direction and architectural evolution of our web platform and systems. You&#39;ll act as the technical leader across our marketing and growth web surfaces, partnering with marketing, analytics, design, data science, and engineering teams to ensure our web stack is modern, performant, measurable, and delightful to build on.</p>\n<p>You&#39;ll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.</p>\n<p>As a senior technical leader, you will:</p>\n<p>Own and evolve the architecture of Intercom&#39;s web stack. Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility. Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more. Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem. Mentor and elevate engineers across the team and organisation , providing guidance on architecture, data modeling, system design, and engineering best practices. Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness. Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders , communicating risks, trade-offs, and opportunities clearly. Contribute hands-on to the codebase , leading by example and helping unblock and accelerate key projects.</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_4a77b359-de1","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/7515664","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["12+ years of software engineering experience","Experience in a high-scale growth-focused web environment","A track record of technical leadership and influencing technical direction across multiple teams or departments","Deep familiarity with modern web stacks and infrastructure","Strong understanding of data infrastructure, including event instrumentation, and analytics tooling","Comfortable working in and supporting full-stack codebases","Experience operating in continuous delivery environments with an emphasis on incremental, high-quality shipping","Exceptional communication skills and a history of collaborating with cross-functional teams"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:25.996Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"12+ years of software engineering experience, Experience in a high-scale growth-focused web environment, A track record of technical leadership and influencing technical direction across multiple teams or departments, Deep familiarity with modern web stacks and infrastructure, Strong understanding of data infrastructure, including event instrumentation, and analytics tooling, Comfortable working in and supporting full-stack codebases, Experience operating in continuous delivery environments with an emphasis on incremental, high-quality shipping, Exceptional communication skills and a history of collaborating with cross-functional teams"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2ace8872-f7e"},"title":"Manager, Backline (Platform)","description":"<p>At Databricks, we are seeking a Manager, Backline (Platform) to join our team. As a critical bridge between Engineering and Frontline Support, the Backline Engineering Team handles complex technical issues and escalations across the Apache Spark ecosystem and the Databricks Platform stack. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous improvements to the platform.</p>\n<p>The Manager, Backline (Platform) will be responsible for:</p>\n<ul>\n<li>Hiring and developing top talent to build an outstanding team</li>\n<li>Mentoring engineers, providing clear feedback, and developing future leaders in the team</li>\n<li>Establishing and maintaining high standards in troubleshooting, automation, and tooling to improve efficiency</li>\n<li>Working closely with Engineering to enhance observability, debugging tools, and automation, reducing escalations</li>\n<li>Collaborating with Frontline Support, Engineering, and Product teams to improve customer escalations and support processes</li>\n<li>Defining a long-term roadmap for Backline, focusing on automation, tool development, bug fixing, and proactive issue resolution</li>\n<li>Taking ownership of high-impact customer escalations by leading critical incident response during Databricks runtime outages and major incidents</li>\n<li>Participating in weekday and weekend on-call rotations, ensuring fast and effective resolution of urgent issues</li>\n</ul>\n<p>We look for candidates with 10-12 years of industry experience, at least 3+ years in a managerial role, and strong technical expertise in one of the following domains: Linux/OS and Network troubleshooting, AWS, Azure, or GCP Cloud and related services, SQL-based database systems, or Python and/or Java-based applications.</p>\n<p>If you are a motivated and experienced professional with a passion for delivering exceptional customer satisfaction, we encourage you to apply for this exciting opportunity.</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_2ace8872-f7e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7879639002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Linux/OS and Network troubleshooting","AWS, Azure, or GCP Cloud and related services","SQL-based database systems","Python and/or Java-based applications","Troubleshooting","Automation","Tooling","Observability","Debugging","Collaboration","Leadership"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:15.620Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux/OS and Network troubleshooting, AWS, Azure, or GCP Cloud and related services, SQL-based database systems, Python and/or Java-based applications, Troubleshooting, Automation, Tooling, Observability, Debugging, Collaboration, Leadership"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_48e2e160-bde"},"title":"Senior Solutions Architect - Weights & Biases","description":"<p>Our Solutions Architecture team at Weights &amp; Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture. We focus on ensuring customers can successfully deploy and operate W&amp;B across cloud and on-prem environments while delivering a best-in-class experience that accelerates ML adoption at scale.</p>\n<p>As a Solutions Architect, you will be responsible for managing complex customer deployments across AWS, GCP, Azure, and on-prem environments. You’ll partner directly with customer engineering teams to provision and monitor services, debug and resolve infrastructure issues, and ensure performance and scalability using SRE best practices. This role blends hands-on technical problem-solving with customer-facing engagement, including technical discussions, demos, workshops, and enablement content creation. You’ll work closely with Sales Engineering, Field Engineering, Support, and Product to drive adoption and influence our product roadmap based on customer feedback.</p>\n<p>We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren&#39;t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.</p>\n<ul>\n<li>You love diving into infrastructure problems and solving them systematically</li>\n<li>You’re curious about how to scale complex ML systems in production environments</li>\n<li>You’re an expert in building and running containerized, distributed systems</li>\n</ul>\n<p>We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n<li>Act Like an Owner</li>\n<li>Empower Employees</li>\n<li>Deliver Best-in-Class Client Experiences</li>\n<li>Achieve More Together</li>\n</ul>\n<p>The base salary ranges for this role is $180,000 to $200,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>We offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance</li>\n<li>100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</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_48e2e160-bde","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4622845006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000 to $200,000","x-skills-required":["Docker","Kubernetes","Helm charts","Networking","Cloud-managed services (e.g., MySQL, Object Stores)","Infrastructure as Code (IaC), preferably Terraform","Linux/Unix command line experience","Python","ML workflows or tools"],"x-skills-preferred":["Deep proficiency in Kubernetes design patterns, including Operators","Familiarity with data engineering and MLOps tooling","Experience as an educator or facilitator for technical training sessions, workshops, or demos","SaaS, web service, or distributed systems operations experience"],"datePosted":"2026-04-18T15:54:07.692Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Docker, Kubernetes, Helm charts, Networking, Cloud-managed services (e.g., MySQL, Object Stores), Infrastructure as Code (IaC), preferably Terraform, Linux/Unix command line experience, Python, ML workflows or tools, Deep proficiency in Kubernetes design patterns, including Operators, Familiarity with data engineering and MLOps tooling, Experience as an educator or facilitator for technical training sessions, workshops, or demos, SaaS, web service, or distributed systems operations experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fad70189-475"},"title":"Dev Laser Operator","description":"<p><strong>ABOUT THE TEAM</strong></p>\n<p>Our manufacturing development team is responsible for rapidly iterating and building cutting-edge defence hardware.</p>\n<p><strong>ABOUT THE JOB</strong></p>\n<p>The ideal candidate for this role has a track record of taking ownership in solving fabrication challenges. They have creatively devised physical solutions, either personally manufacturing them or overseeing the manufacturing process. If you are someone who thrives in a fast-paced environment, this role is for you.</p>\n<p><strong>RESPONSIBILITIES</strong></p>\n<ul>\n<li>Process sheet metal parts utilizing CNC laser cutting, CNC press brake, and various other machine tools</li>\n</ul>\n<ul>\n<li>Perform quality checks on completed products</li>\n</ul>\n<ul>\n<li>Troubleshoot issues with the fabrication equipment</li>\n</ul>\n<ul>\n<li>Maintain fabrication equipment</li>\n</ul>\n<ul>\n<li>Follow OSHA safety guidelines</li>\n</ul>\n<p><strong>REQUIRED QUALIFICATIONS</strong></p>\n<ul>\n<li>Sheet metal processing experience with AMADA ENSIS Fiber Laser with 5+ years of experience</li>\n</ul>\n<ul>\n<li>Proficient in operation of AMADA ENSIS Fiber Lasers and supporting equipment</li>\n</ul>\n<ul>\n<li>Proficient in maintenance of AMADA ENSIS Fiber Lasers and supporting equipment</li>\n</ul>\n<ul>\n<li>Proficient in the installation and setup of AMADA ENSIS Fiber Lasers and supporting equipment</li>\n</ul>\n<ul>\n<li>Proficiency in AMADA Fiber Laser cut conditions and settings</li>\n</ul>\n<ul>\n<li>Proficient in G-Code and M-Code relating to AMADA ENSIS Fiber Lasers</li>\n</ul>\n<ul>\n<li>CAD (SolidWorks, NX) experience with expertise in Sheet Metal design</li>\n</ul>\n<ul>\n<li>Reading and interpreting blueprints and drawings</li>\n</ul>\n<ul>\n<li>Proficient in sheet metal properties (Material types and physical properties)</li>\n</ul>\n<ul>\n<li>Sheet metal processing experience with AMADA CNC press brake with 3+ years of experience</li>\n</ul>\n<ul>\n<li>AMADA CNC Press Brake tooling setup</li>\n</ul>\n<ul>\n<li>AMADA CNC Press Brake programming</li>\n</ul>\n<ul>\n<li>AMADA CNC Press Brake Operation</li>\n</ul>\n<ul>\n<li>Metal fabrication in an R&amp;D environment with 5+ years of experience</li>\n</ul>\n<ul>\n<li>Proficient with cam software from SigmaNest and Amada AP100</li>\n</ul>\n<ul>\n<li>Ability to work through R&amp;D tasks with limited oversight (evaluate, design, order materials, execute)</li>\n</ul>\n<ul>\n<li>High level of mechanical aptitude (aerospace/automotive/motorsports background).</li>\n</ul>\n<ul>\n<li>Advanced knowledge of engineering design and manufacturing procedures.</li>\n</ul>\n<ul>\n<li>Ability to multi-task</li>\n</ul>\n<ul>\n<li>U.S. Person status is required as this position needs to access export-controlled data</li>\n</ul>\n<p><strong>PREFERRED QUALIFICATIONS</strong></p>\n<ul>\n<li>Basic use of conventional machining equipment (mill/lathe)</li>\n</ul>\n<ul>\n<li>General knowledge and operation of waterjet</li>\n</ul>\n<ul>\n<li>Welding (GMAW/GTAW) of steel, stainless, aluminum, exotic alloys</li>\n</ul>\n<ul>\n<li>CNC machine operating/setup experience</li>\n</ul>\n<ul>\n<li>General knowledge with AC and DC electrical systems</li>\n</ul>\n<ul>\n<li>Understanding of Pem Hardware solutions</li>\n</ul>\n<p><strong>SALARY RANGE</strong></p>\n<p>US Salary Range $60,000-$80,000 USD</p>\n<p>The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril&#39;s total compensation package.</p>\n<p><strong>BENEFITS</strong></p>\n<p>Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. - UK &amp; AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. - IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.</p>\n<p>Additional Benefits - Income Protection: Anduril covers life and disability insurance for all employees. - Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. - Family Planning &amp; Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. - Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. - Professional Development: Annual reimbursement for professional development - Commuter Benefits: Company-funded commuter benefits based on your region. - Relocation Assistance: Available depending on role eligibility.</p>\n<p>Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. - UK &amp; IE Roles: Pension plan with employer match. - AUS Roles: Superannuation plan.</p>\n<p><strong>PROTECTING YOURSELF FROM RECRUITMENT SCAMS</strong></p>\n<p>Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We&#39;ve observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>\n<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>\n<ul>\n<li>No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</li>\n</ul>\n<ul>\n<li>Please always verify communications:</li>\n</ul>\n<ul>\n<li>Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.</li>\n</ul>\n<ul>\n<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency&#39;s authenticity by reaching out to contact@anduril.com.</li>\n</ul>\n<ul>\n<li>Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender&#39;s email domain is @anduril.com before providing any personal information or clicking on links.</li>\n</ul>\n<ul>\n<li>What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</li>\n</ul>\n<p><strong>DATA PRIVACY</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_fad70189-475","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5101334007","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":"$60,000-$80,000 USD","x-skills-required":["Sheet metal processing experience with AMADA ENSIS Fiber Laser","Proficient in operation of AMADA ENSIS Fiber Lasers and supporting equipment","Proficient in maintenance of AMADA ENSIS Fiber Lasers and supporting equipment","Proficient in the installation and setup of AMADA ENSIS Fiber Lasers and supporting equipment","Proficiency in AMADA Fiber Laser cut conditions and settings","Proficient in G-Code and M-Code relating to AMADA ENSIS Fiber Lasers","CAD (SolidWorks, NX) experience with expertise in Sheet Metal design","Reading and interpreting blueprints and drawings","Proficient in sheet metal properties (Material types and physical properties)","Sheet metal processing experience with AMADA CNC press brake","AMADA CNC Press Brake tooling setup","AMADA CNC Press Brake programming","AMADA CNC Press Brake Operation","Metal fabrication in an R&D environment","Proficient with cam software from SigmaNest and Amada AP100","Ability to work through R&D tasks with limited oversight","High level of mechanical aptitude (aerospace/automotive/motorsports background)","Advanced knowledge of engineering design and manufacturing procedures","Ability to multi-task","U.S. Person status"],"x-skills-preferred":["Basic use of conventional machining equipment (mill/lathe)","General knowledge and operation of waterjet","Welding (GMAW/GTAW) of steel, stainless, aluminum, exotic alloys","CNC machine operating/setup experience","General knowledge with AC and DC electrical systems","Understanding of Pem Hardware solutions"],"datePosted":"2026-04-18T15:54:06.714Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Sheet metal processing experience with AMADA ENSIS Fiber Laser, Proficient in operation of AMADA ENSIS Fiber Lasers and supporting equipment, Proficient in maintenance of AMADA ENSIS Fiber Lasers and supporting equipment, Proficient in the installation and setup of AMADA ENSIS Fiber Lasers and supporting equipment, Proficiency in AMADA Fiber Laser cut conditions and settings, Proficient in G-Code and M-Code relating to AMADA ENSIS Fiber Lasers, CAD (SolidWorks, NX) experience with expertise in Sheet Metal design, Reading and interpreting blueprints and drawings, Proficient in sheet metal properties (Material types and physical properties), Sheet metal processing experience with AMADA CNC press brake, AMADA CNC Press Brake tooling setup, AMADA CNC Press Brake programming, AMADA CNC Press Brake Operation, Metal fabrication in an R&D environment, Proficient with cam software from SigmaNest and Amada AP100, Ability to work through R&D tasks with limited oversight, High level of mechanical aptitude (aerospace/automotive/motorsports background), Advanced knowledge of engineering design and manufacturing procedures, Ability to multi-task, U.S. Person status, Basic use of conventional machining equipment (mill/lathe), General knowledge and operation of waterjet, Welding (GMAW/GTAW) of steel, stainless, aluminum, exotic alloys, CNC machine operating/setup experience, General knowledge with AC and DC electrical systems, Understanding of Pem Hardware solutions","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":60000,"maxValue":80000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4249dbdd-13b"},"title":"Product Operations Manager, Feedback Loops","description":"<p>We&#39;re hiring a Product Operations Manager , Feedback Loops to own and continuously improve how customer signal flows into product and research decisions at Anthropic. This is a horizontal, org-wide role , you won&#39;t be embedded in a single product team, you&#39;ll build the shared operating system for voice of the customer that every product team, every surface, and every GTM motion plugs into.</p>\n<p>Feedback at Anthropic is uniquely high-leverage. We&#39;re building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai, Claude Code). Customer signal arrives from everywhere , field conversations, support interactions, early access programs, in-product telemetry , and the opportunity is to make that signal a first-class, structured input to every product and research decision.</p>\n<p>This role will build the system that makes customer voice as easy to act on as any other data source. You treat feedback loops as a product. You&#39;re obsessed with making it effortless for the field to share what they&#39;re hearing and for product teams to know what matters most. You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator.</p>\n<p>Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p>You&#39;ll own the operating system for customer feedback across all of Anthropic , one shared platform, not a collection of per-team processes. Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you&#39;ll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap.</p>\n<p>You&#39;ll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it.</p>\n<p><strong>Feedback Intake &amp; System of Record</strong></p>\n<p>Own the single, org-wide pipeline that captures customer feedback from every channel , field teams, support, early access programs, in-product signals , into one structured system of record that serves every product surface.</p>\n<p>Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it.</p>\n<p><strong>AI-Enabled Synthesis &amp; Triage</strong></p>\n<p>Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues , doing the first-pass work so humans focus on verification and judgment.</p>\n<p>Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time.</p>\n<p>Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve.</p>\n<p><strong>Routing &amp; Closing the Loop</strong></p>\n<p>Establish clear routing so the right feedback reaches the right product or research owner at the right time , including the path from product signal back into model training priorities.</p>\n<p>Build the visibility layer that gives GTM and Support a clear line of sight from customer input to roadmap outcome, so they can close the loop with customers confidently and in real time.</p>\n<p><strong>Voice of the Customer Programs</strong></p>\n<p>Partner deeply with GTM, Customer Success, and Sales to design and run structured voice of the customer programs , customer advisory boards, early access programs, design partner cohorts , that generate high-signal feedback by design.</p>\n<p>Define what &#39;high-signal&#39; means: feedback tied to specific use cases, blocker severity, revenue context, and customer segments so product teams can make confident tradeoffs.</p>\n<p><strong>Continuous Improvement</strong></p>\n<p>Define and track success metrics for feedback loop health , time-to-triage, signal quality, roadmap influence, field satisfaction , and use them to identify bottlenecks.</p>\n<p>Run regular retros with Product and GTM partners and feed learnings back into process and tooling improvements. Scale what works through documentation and enablement.</p>\n<p><strong>You may be a good fit if you:</strong></p>\n<p>Have 7+ years in product operations, customer insights, voice of the customer programs, or related roles in fast-paced tech companies.</p>\n<p>Have personally shipped AI-enabled processes and systems , you&#39;ve written the prompts, built the evals, and iterated on production LLM workflows yourself. You can talk about model behavior with specificity, not just direct others to build.</p>\n<p>Have owned a customer feedback program end-to-end , intake, synthesis, routing, and closing the loop , that product teams actually used to make decisions. The customer mix can be enterprise, PLG, design partner, or dev community; what matters is that you designed it and ran it.</p>\n<p>Have operated at earlier-stage and scaling companies (Series B-D or equivalent) where you built things that didn&#39;t exist yet, shipped v1s in weeks not quarters, and iterated in public.</p>\n<p>Have operated in horizontal, cross-org roles before , you know how to build shared infrastructure that many teams depend on, drive adoption through influence rather than mandate, and earn trust across functions that don&#39;t report to you.</p>\n<p>Are comfortable with ambiguity and can create structure where none exists , you&#39;ve built the v1 of a system and iterated it into something teams rely on.</p>\n<p>Are service-oriented and obsessed with making it easy for others to do great work.</p>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<p>Building AI-native workflows end-to-end , prompt design, evals, closed-loop improvement , and pushing the boundaries of what automation can own.</p>\n<p>Product Management, Customer Success Operations, or Research Operations.</p>\n<p>Feedback tooling ecosystems (Productboard, Dovetail, or homegrown equivalents) and the tradeoffs between buy vs. build.</p>\n<p>Treating process as a product with users, metrics, and continuous iteration.</p>\n<p>Track record of building and scaling operations programs from zero to one.</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_4249dbdd-13b","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/5179882008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$260,000-$325,000 USD","x-skills-required":["Product Operations","Customer Insights","Voice of the Customer Programs","AI-Enabled Systems","Process Automation","Collaboration Tools","Data Analysis","Metrics Tracking","Continuous Improvement"],"x-skills-preferred":["LLM Workflows","Prompt Design","Evals","Closed-Loop Improvement","Product Management","Customer Success Operations","Research Operations","Feedback Tooling Ecosystems"],"datePosted":"2026-04-18T15:54:03.763Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Operations, Customer Insights, Voice of the Customer Programs, AI-Enabled Systems, Process Automation, Collaboration Tools, Data Analysis, Metrics Tracking, Continuous Improvement, LLM Workflows, Prompt Design, Evals, Closed-Loop Improvement, Product Management, Customer Success Operations, Research Operations, Feedback Tooling Ecosystems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":260000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a17bc01-d7d"},"title":"Staff Software Engineer","description":"<p>DBT Labs is seeking a Staff Software Engineer to join our Engineering team. As a seasoned engineer, you will architect and build the durable memory substrate that powers agentic analytics workflows. This platform stores not just metadata, but meaning: decisions, intent, rationale, and history , and makes it safely accessible to humans, agents, and applications.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Prototyping apt technical solutions and finding best fits for the context engine.</li>\n<li>Architecting and building the core Context Platform.</li>\n<li>Designing schemas and primitives for Decision Memory and enterprise context.</li>\n<li>Owning context storage systems (graph, vector, event/time-based).</li>\n<li>Building read/write/query APIs used by agents, products, and external apps.</li>\n<li>Designing permission-aware, auditable context access.</li>\n</ul>\n<p>You will be working closely with agentic systems engineers and product leadership to ensure the context engine is interoperable, portable, and zero-lock-in by design.</p>\n<p>In this role, you will own:</p>\n<ul>\n<li>Context schemas and schema evolution strategies.</li>\n<li>Storage and data modeling choices.</li>\n<li>Platform APIs and interfaces.</li>\n<li>Security, identity propagation, and audit foundations.</li>\n<li>Long-term scalability and correctness of context data.</li>\n</ul>\n<p>You will not own:</p>\n<ul>\n<li>Agent behavior or orchestration logic.</li>\n<li>Business rules or governance policy decisions.</li>\n<li>Product UI or workflow automation.</li>\n</ul>\n<p>The ideal candidate will have significant experience building distributed systems, data platforms, or infrastructure, and will be comfortable operating in ambiguous, greenfield problem spaces. They will also have deep expertise in data modeling and schema design, experience designing shared platforms used by many teams, and strong instincts around APIs, contracts, and backward compatibility.</p>\n<p>Nice to have experience with knowledge graphs, metadata systems, or search/retrieval systems, experience building systems with governance, auditability, or compliance requirements, and familiarity with dbt or modern analytics stacks or developer tooling.</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_3a17bc01-d7d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"dbt 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improvement.</li>\n</ul>\n<ul>\n<li>Collaborate across teams and with engineering leadership to identify systemic challenges in our delivery and quality processes and architect solutions to address them.</li>\n</ul>\n<ul>\n<li>Evolve our release architecture to support dbt Cloud&#39;s multi-cloud, cell-based infrastructure at scale.</li>\n</ul>\n<ul>\n<li>Establish best practices and standards for build pipelines, release workflows, code quality, and infrastructure-as-code that are adopted across engineering.</li>\n</ul>\n<ul>\n<li>Serve as a thought leader in engineering&#39;s internal AI strategy , evaluating AI-assisted development tools, defining adoption practices and guardrails, and enabling developers to use AI effectively across the org.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>8+ years of software engineering experience, with significant time in platform, infrastructure, release engineering, or developer tooling.</li>\n</ul>\n<ul>\n<li>A track record of leading technical 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productivity and code quality.</li>\n</ul>\n<ul>\n<li>Experience working asynchronously as part of a fully remote, distributed team.</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Experience with Kargo or similar progressive delivery systems.</li>\n</ul>\n<ul>\n<li>Hands-on experience with multi-cloud architectures (AWS, GCP, Azure).</li>\n</ul>\n<ul>\n<li>Experience building code quality platforms, static analysis tooling, or testing infrastructure at scale.</li>\n</ul>\n<ul>\n<li>Experience defining and rolling out engineering-wide code quality standards or best practices.</li>\n</ul>\n<ul>\n<li>A track record of improving developer productivity or release safety across a large engineering organization.</li>\n</ul>\n<ul>\n<li>Experience mentoring engineers and shaping team culture in a staff or principal-level role.</li>\n</ul>\n<ul>\n<li>Track record of evaluating, championing, and rolling out AI developer tools (e.g., Copilot, Cursor, Claude Code) within an engineering organization.</li>\n</ul>\n<ul>\n<li>Experience defining guidelines, guardrails, or best practices for AI-assisted development.</li>\n</ul>\n<p>Compensation &amp; Benefits</p>\n<p>Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.</p>\n<p>In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.</p>\n<ul>\n<li>The typical starting salary range for this role is: $207,000 - $251,000 USD</li>\n</ul>\n<ul>\n<li>The typical starting salary range for this role in the select locations listed is: $230,000 - $279,000 US</li>\n</ul>\n<p>Equity Stake Benefits</p>\n<ul>\n<li>dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!</li>\n</ul>\n<p>Our Hiring 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They should have deep domain expertise in AI/ML platforms and tooling, proven track record of building, scaling, and activating developer communities, and exceptional technical storytelling skills.</p>\n<p>The base salary range for this role is $165,000 to $242,000, and the company offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, and flexible PTO.</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_98974ab4-110","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4656231006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["AI/ML platforms","Developer relations","Technical storytelling","Community building","Analytical skills"],"x-skills-preferred":["Experience leading a team of developer advocates and evangelists","Deep domain expertise in AI/ML platforms and tooling","Proven track record of building, scaling, and activating developer communities"],"datePosted":"2026-04-18T15:53:50.384Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / San Francisco, CA /Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML platforms, Developer relations, Technical storytelling, Community building, Analytical skills, Experience leading a team of developer advocates and evangelists, Deep domain expertise in AI/ML platforms and tooling, Proven track record of building, scaling, and activating developer communities","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2d0039fb-d9b"},"title":"Staff Technical Program Manager, Community Support Engineering","description":"<p>We are seeking a Staff Technical Program Manager to join our Community Support Engineering team. As a Staff Technical Program Manager, you will be responsible for leading cross-functional initiatives aimed at increasing the productivity of our technical teams. You will develop a portfolio view of CSE programs&#39; scope and objectives, collaborate with stakeholders to ensure technical feasibility, and drive projects end-to-end. You will also lead planning, execution, and delivery of large cross-functional initiatives, enable teams to deliver against the roadmap, and manage effective communications to leadership and across teams.</p>\n<p>Your Expertise:</p>\n<ul>\n<li>10+ years of experience in the software development industry with at least 7 years as a technical program manager.</li>\n<li>Demonstrated ability to work calmly through ambiguity to detailed solutions.</li>\n<li>Self-motivated, proactive and ability to adapt well and work with teams having different operating cadences.</li>\n<li>Proven track record of influencing others in combination with strong analytical skills and allowing others to give feedback while understanding their viewpoints.</li>\n<li>Experience developing processes where little exists and demonstrated flexibility to get things done.</li>\n<li>Detail-oriented with the ability to understand the bigger picture by using your technical expertise and problem solving abilities to prioritize and manage blocking issues.</li>\n<li>Experience working in a highly cross-functional environment where communication with multiple groups is imperative.</li>\n<li>Excellent written and oral business communication and people skills, with the ability to influence stakeholders.</li>\n<li>Exhibit knowledge of Asana, Jira, or other equivalent task management tooling.</li>\n<li>B.S. in Computer Science or a related technical discipline, or equivalent experience.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience developing or working directly on various aspects of large-scale ML/AI platforms.</li>\n<li>Experience with feature development of AI-powered product experiences.</li>\n<li>Experience and passion for building and maintaining products leveraging AI models</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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broader leadership team of a 3,000-person global organization within Databricks.</p>\n<p>This is a rare opportunity to shape the future of a rapidly growing tech company by defining and executing strategies that drive scale, productivity, and technical excellence.</p>\n<p>You will be deeply embedded in the technical heart of Field Engineering, running centralized technical functions and helping design the operating model for the future.</p>\n<p>You will work closely with leaders across Product, Sales, Finance, People, and engineering teams to determine where global consistency is critical, where accountability should sit within business units, and which experiments to run to optimize organizational performance.</p>\n<p>In this role, you will also help drive a high-performing, AI-driven builder culture, identifying ways to leverage AI, automation, and tooling to increase efficiency, improve decision-making, and enable teams to focus on the highest-impact work.</p>\n<p>This is a high-visibility, high-impact role for someone who thrives at the intersection of strategy, execution, and technical leadership.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Technical Leadership &amp; Centralized Functions: Lead and operate core technical and centralized functions across Field Engineering, ensuring they scale effectively and support the broader organization.</li>\n</ul>\n<ul>\n<li>Future Operating Models: Define, design, and test innovative operating models for the organization, deciding where to centralize, where to push accountability to BUs, and which initiatives to pilot.</li>\n</ul>\n<ul>\n<li>Strategic Planning &amp; Execution: Partner with the SVP and leadership team to set long-term organizational strategy, drive critical initiatives, and ensure cross-functional alignment.</li>\n</ul>\n<ul>\n<li>AI-Driven Productivity &amp; Innovation: Enable a builder-first, AI-first culture by identifying opportunities to leverage AI, tooling, and automation to improve productivity and impact across the org.</li>\n</ul>\n<ul>\n<li>Cross-Functional Influence: Collaborate with Product, Sales, Finance, People, and other teams to ensure strategic initiatives are executed effectively and priorities are aligned.</li>\n</ul>\n<ul>\n<li>Organizational Insight &amp; Experimentation: Use data, experience, and technical expertise to identify bottlenecks, test new approaches, and recommend solutions that optimize performance and growth.</li>\n</ul>\n<ul>\n<li>Change Leadership &amp; Communication: Drive adoption of new models, processes, and initiatives while ensuring clarity, engagement, and alignment across leaders and teams.</li>\n</ul>\n<p>What We’re Looking For:</p>\n<ul>\n<li>Deep technical understanding of field engineering organizations, enterprise solutions, and technology strategy, with the ability to assess and evolve end-to-end Field Engineering models.</li>\n</ul>\n<ul>\n<li>10+ years of experience in strategy, business operations, or technical leadership in high-growth technology companies.</li>\n</ul>\n<ul>\n<li>Proven ability to define strategy and execute at scale in complex, technical organizations.</li>\n</ul>\n<ul>\n<li>Experience running centralized technical or operational functions and influencing distributed teams.</li>\n</ul>\n<ul>\n<li>Strong perspectives on leveraging AI, automation, and tooling to drive productivity, improve decision-making, and enable a builder-first culture.</li>\n</ul>\n<ul>\n<li>Ability to envision the future of a global Field Engineering organization,including operating models, career ladders, team structures, and cross-functional alignment,and design practical pathways to get there.</li>\n</ul>\n<ul>\n<li>Exceptional cross-functional collaboration and influence skills; comfortable working across Product, Sales, Finance, People, and technical teams.</li>\n</ul>\n<ul>\n<li>Strong analytical, problem-solving, and experimental mindset; comfortable testing new approaches and iterating based on data and outcomes.</li>\n</ul>\n<ul>\n<li>Excellent communication and presentation skills with both internal leaders and external partners.</li>\n</ul>\n<ul>\n<li>Comfortable operating in ambiguity, balancing innovation with operational rigor, and driving accountability across large, complex organizations.</li>\n</ul>\n<p>Why Join This is a highly visible, high-impact role at the center of a large, fast-growing global Field Engineering organization. You’ll have the opportunity to shape the strategic direction of the organization, work directly with a founder-SVP, and drive initiatives that fundamentally improve the effectiveness and scale of the business. This is a career-defining opportunity for a strategic leader who wants to operate at the forefront of organizational growth and transformation.</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_616f9887-84a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8223325002","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["field engineering","technology strategy","AI","automation","tooling","productivity","decision-making","builder culture","cross-functional collaboration","influence","analytical","problem-solving","experimental mindset","communication","presentation","operational rigor","accountability"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:34.605Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California; United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"field engineering, technology strategy, AI, automation, tooling, productivity, decision-making, builder culture, cross-functional collaboration, influence, analytical, problem-solving, experimental mindset, communication, presentation, operational rigor, accountability"},{"@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 providers</li>\n</ul>\n<ul>\n<li>Hands-on experience with capacity management, cost optimisation, or resource planning at scale across heterogeneous environments</li>\n</ul>\n<ul>\n<li>Strong familiarity with LLM inference optimisation, batching, caching, and serving strategies</li>\n</ul>\n<ul>\n<li>Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators</li>\n</ul>\n<ul>\n<li>Background designing and building CI/CD systems that automate deployment and validation across cloud environments</li>\n</ul>\n<ul>\n<li>Solid understanding of multi-region deployments, geographic routing, and global traffic management</li>\n</ul>\n<ul>\n<li>Proficiency in Python or Rust</li>\n</ul>\n<p>Salary Range: $300,000-$485,000 USD</p>\n<p>Experience Level: Staff</p>\n<p>Employment Type: Full-time</p>\n<p>Workplace Type: Hybrid</p>\n<p>Category: Engineering</p>\n<p>Industry: Technology</p>\n<p>Required Skills:</p>\n<ul>\n<li>High-performance, large-scale 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tooling</li>\n</ul>\n<ul>\n<li>Hands-on experience with capacity management</li>\n</ul>\n<ul>\n<li>Strong familiarity with LLM inference optimisation</li>\n</ul>\n<ul>\n<li>Experience with Machine learning infrastructure</li>\n</ul>\n<ul>\n<li>Background designing and building CI/CD systems</li>\n</ul>\n<ul>\n<li>Solid understanding of multi-region deployments</li>\n</ul>\n<ul>\n<li>Proficiency in Python or Rust</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_d50772ab-afe","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/5107466008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$300,000-$485,000 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As an SRE, you will lead technical initiatives to automate system engineering efforts, ensuring the reliability of our global infrastructure. You will grow our global Platform infrastructure to meet increasing scaling demands by developing and maintaining software, tooling, and automations.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and maintain software, tooling, and automations to ensure the reliability and scalability of our global infrastructure.</li>\n</ul>\n<ul>\n<li>Lead technical initiatives to automate system engineering efforts, ensuring the reliability of our global infrastructure.</li>\n</ul>\n<ul>\n<li>Collaborate with engineers to identify, implement, and deliver solutions that meet the needs of our customers.</li>\n</ul>\n<ul>\n<li>Champion an environment focused on collaboration, operational excellence, and uplifting others.</li>\n</ul>\n<ul>\n<li>Respond to and prevent repeated customer impact in response to major incidents and prioritized problem management.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Success and lessons of experiences from striving for &#39;progress not perfection&#39; in the name of Platform reliability.</li>\n</ul>\n<ul>\n<li>Background in software engineering to collaborate with engineers to expertly identify, implement, and deliver solutions.</li>\n</ul>\n<ul>\n<li>Experience in public cloud and managed Kubernetes services is advantageous.</li>\n</ul>\n<ul>\n<li>Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform.</li>\n</ul>\n<ul>\n<li>Built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.</li>\n</ul>\n<ul>\n<li>Written non-trivial programs in Golang or other programming languages.</li>\n</ul>\n<ul>\n<li>Worked with containerized services (such as Docker).</li>\n</ul>\n<ul>\n<li>Proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying levels of the organization.</li>\n</ul>\n<ul>\n<li>Experienced in system administration with professional skills in Linux on distributed systems at scale.</li>\n</ul>\n<ul>\n<li>Diagnosed or designed, implemented, and created solutions with the Elastic Stack.</li>\n</ul>\n<ul>\n<li>Thrived in a self-organizing and sharing in a globally distributed team environment.</li>\n</ul>\n<ul>\n<li>Strengthened team members in bringing out the best of each other by uplifting others with coaching and mentoring.</li>\n</ul>\n<p>Compensation:</p>\n<ul>\n<li>This role is eligible to participate in Elastic&#39;s stock program.</li>\n</ul>\n<ul>\n<li>Total rewards package includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.</li>\n</ul>\n<ul>\n<li>Typical starting salary range for this role is $154,800-$195,600 USD.</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_a438f945-411","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7794016","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$154,800-$195,600 USD","x-skills-required":["Software engineering","Public cloud","Managed Kubernetes services","Infrastructure-as-Code tooling","Containerized services","System administration","Linux on distributed systems"],"x-skills-preferred":["Golang","Crossplane","Terraform","Docker","Elastic 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house, applying for a mortgage, getting a small business loan, or refinancing a credit card , is a network of credit relationships. Setpoint provides critical operational infrastructure for relationships between the world&#39;s largest banks, credit funds and capital markets counterparties. We&#39;re building trust in this system of credit.</p>\n<p>We&#39;re looking for a Capital Solutions Manager to join our team and serve as the bridge between our clients and our engineering organisation. You&#39;ll take ownership of live client portfolios across Data OS and Insight OS, our data management and analytics platforms.</p>\n<p>This isn&#39;t a back-office analytics role. You&#39;ll be client-facing from day one, owning deal relationships, translating complex structured finance requirements into engineering specs, and ensuring that every dashboard, data pipeline, and export meets institutional-grade standards.</p>\n<p>This is an opportunity to be an early owner of a fast-growing product lines (Data OS and Insight OS) at a fast-growing platform. You&#39;ll be a co-owner of creating tech solutions for lenders and borrowers in asset backed credit. We have a strong ethos of promoting from within, and you&#39;ll be given ample opportunities for career development and advancement.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own client portfolios end-to-end. Serve as the primary point of contact for assigned clients across Data OS and Insight OS , managing onboarding, success, and supporting growth.</li>\n</ul>\n<ul>\n<li>Translate our customer&#39;s structured finance needs for Engineering. Act as the bridge between our clients and our product/engineering organisation for Data OS and Insight OS. Define what needs to be built, flag what may be custom work, write the specs, review the output, and validate that dashboards and data pipelines match analytical intent.</li>\n</ul>\n<ul>\n<li>Own the accuracy of Setpoint&#39;s data layer across your assigned portfolio. Lead data quality assessments on incoming loan tapes and client deliverables , identifying anomalies, missing fields, and population gaps before they reach production.</li>\n</ul>\n<ul>\n<li>Supervise offshore implementation resources. Directly manage a team of offshore analysts supporting data ingestion, validation, and reporting workflows. Set priorities, review work product, and ensure delivery standards are met.</li>\n</ul>\n<ul>\n<li>Leverage AI-powered workflows and internal tooling. Use and help refine our internal AI-assisted deal workflows , from automated data quality checks to metric design and schema mapping , to accelerate delivery and improve consistency across client portfolios.</li>\n</ul>\n<ul>\n<li>Make us better. Contribute to product priorities, onboarding playbooks, sector templates, and process documentation that make our delivery engine repeatable as the portfolio grows.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3–6 years in private credit, asset-backed lending, or structured finance. You&#39;ve worked with loan tapes, servicer reports, borrowing base certificates, or compliance packages , not just in theory, but hands-on. Experience across multiple asset classes (consumer, auto, fund finance, CRE) is a strong plus.</li>\n</ul>\n<ul>\n<li>Demonstrated client management experience. You&#39;ve owned client relationships , running calls, managing expectations, resolving issues , in a professional services, advisory, or platform context. You&#39;re comfortable being the face of the company to institutional investors and lenders.</li>\n</ul>\n<ul>\n<li>Strong analytical and data skills. Expert-level Excel is baseline. Comfort with SQL, Python, data pipelines, or business intelligence tools (Metabase, Tableau, etc.) is highly valued. You don&#39;t need to write production code, but you should be able to read a data schema, trace a metric back to its source field, and spot when something doesn&#39;t add up.</li>\n</ul>\n<ul>\n<li>Experience writing technical specifications or engineering handoff documents. You&#39;ve translated business requirements into structured artifacts , field mappings, data dictionaries, logic definitions, or acceptance criteria , that a technical team can execute against.</li>\n</ul>\n<ul>\n<li>Comfort with AI/LLM tooling and automation. You don&#39;t need to be an AI engineer, but you should be excited about using AI-assisted workflows to accelerate data analysis, quality checks, and specification writing. Familiarity with prompt engineering or AI copilot tools is a plus.</li>\n</ul>\n<ul>\n<li>Team supervision experience. 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We have offices in Austin, TX, New York City, NY, and Salt Lake City, UT with hybrid roles based in these locations and an expectation of two days a week in office (Tuesdays and Thursdays).</p>\n<p><strong>Compensation</strong></p>\n<p>$140,000 - $160,000 dependent on multiple factors, which may include the successful candidate&#39;s skills, experience and other qualifications.</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_3e12d6b2-155","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Setpoint","sameAs":"https://setpoint.com/","logo":"https://logos.yubhub.co/setpoint.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/setpoint/jobs/5106278007","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$140,000 - $160,000","x-skills-required":["structured finance","data management","analytics","client relationship management","technical specifications","engineering handoff documents","AI/LLM tooling","automation","team supervision","independent problem-solving"],"x-skills-preferred":["SQL","Python","data pipelines","business intelligence tools","prompt engineering","AI copilot tools"],"datePosted":"2026-04-18T15:53:12.581Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin or New York (Hybrid)"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"structured finance, data management, analytics, client relationship management, technical specifications, engineering handoff documents, AI/LLM tooling, automation, team supervision, independent problem-solving, SQL, Python, data pipelines, business intelligence tools, prompt engineering, AI copilot tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":160000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc17980d-461"},"title":"Research Engineer, Interpretability","description":"<p>JOB TITLE: Research Engineer, Interpretability \\n LOCATION: San Francisco, CA \\n DEPARTMENT: AI Research &amp; Engineering \\n \\n JOB DESCRIPTION: \\n \\n When you see what modern language models are capable of, do you wonder, &quot;How do these things work? How can we trust them?&quot; \\n \\n The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. \\n \\n Think of us as doing &quot;neuroscience&quot; of neural networks using &quot;microscopes&quot; we build - or reverse-engineering neural networks like binary programs. \\n \\n More resources to learn about our work: \\n - Our research blog - covering advances including Monosemantic Features and Circuits \\n - An Introduction to Interpretability from our research lead, Chris Olah \\n - The Urgency of Interpretability from CEO Dario Amodei \\n - Engineering Challenges Scaling Interpretability - directly relevant to this role \\n - 60 Minutes segment - Around 8:07, see a demo of tooling our team built \\n - New Yorker article - what it&#39;s like to work on one of AI&#39;s hardest open problems \\n \\n Even if you haven&#39;t worked on interpretability before, the infrastructure expertise is similar to what&#39;s needed across the lifecycle of a production language model: \\n - Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips \\n - Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model&#39;s internal activations mid-forward-pass - for example, adding a &quot;steering vector&quot; \\n - Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission \\n \\n The science keeps scaling - and it&#39;s now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. \\n \\n RESPONSIBILITIES: \\n - Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application \\n - Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams \\n - Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers \\n - Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations \\n - Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling \\n \\n YOU MAY BE A GOOD FIT IF YOU: \\n - Have 5-10+ years of experience building software \\n - Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python \\n - Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks \\n - Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions \\n - Prefer fast-moving collaborative projects to extensive solo efforts \\n - Are curious about interpretability research and its role in AI safety (though no research experience is required!) \\n - Care about the societal impacts and ethics of your work \\n - Are comfortable working closely with researchers, translating research needs into engineering solutions. \\n \\n STRONG CANDIDATES MAY ALSO HAVE EXPERIENCE WITH: \\n - Optimizing the performance of large-scale distributed systems \\n - Language modeling fundamentals with transformers \\n - High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization \\n - Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs \\n - Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges \\n \\n REPRESENTATIVE PROJECTS: \\n - Building Garcon, a tool that allows researchers to easily instrument LLMs to extract internal activations \\n - Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them \\n - Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization \\n - Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) \\n \\n ROLE SPECIFIC LOCATION POLICY: \\n - This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. \\n \\n The annual compensation range for this role is listed below. \\n For sales roles, the range provided is the role&#39;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 Annual Salary:\\\\$315,000-\\\\$560,000 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_dc17980d-461","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/4980430008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$560,000 USD","x-skills-required":["Python","Rust","Go","Java","PyTorch","CUDA","JAX","XLA","High Performance LLM optimization","memory management","compute efficiency","parallelism strategies","inference throughput optimization"],"x-skills-preferred":["large-scale distributed systems","language modeling fundamentals","transformers","collaborating closely with researchers","building tooling to support research teams"],"datePosted":"2026-04-18T15:53:01.682Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Rust, Go, Java, PyTorch, CUDA, JAX, XLA, High Performance LLM optimization, memory management, compute efficiency, parallelism strategies, inference throughput optimization, large-scale distributed systems, language modeling fundamentals, transformers, collaborating closely with researchers, building tooling to support research teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":560000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_68a0f0f9-375"},"title":"Senior Manager, People & Talent Operations","description":"<p>About Mixpanel</p>\n<p>Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.</p>\n<p>Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.</p>\n<p>About the People &amp; Culture Team</p>\n<p>The Mixpanel People &amp; Talent team enables an ownership culture where exceptional people do their best work: cultivating extraordinary talent who drive innovation, speed, and customer impact. We are trusted partners who balance thoughtful urgency with care, bringing clarity and accountability to everything we do so that Mixpanelers at every level can grow, contribute, and thrive.</p>\n<p>We lead with empathy and curiosity, grounding our decisions in data and insight. We step forward in ambiguity, thoughtfully challenge existing paradigms, and show up for each other and for the business with low ego and high support. By living these values, we earn the trust to shape the future of Mixpanel from the inside.</p>\n<p>About the Role</p>\n<p>The Senior Manager, People &amp; Talent Operations is a key operational leader on the People &amp; Culture team, responsible for the systems, tools, processes, and programs that power Mixpanel&#39;s people function end-to-end. Reporting to the VP of People, this role owns our HR and talent technology ecosystem, global benefits administration, compensation operations, headcount planning, and people analytics.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead, develop, and support a small team consisting of a Talent Operations Lead, People Operations Manager, and Compensation Partner</li>\n</ul>\n<ul>\n<li>Oversee Mixpanel&#39;s HR tech stack, including HRIS, ATS (Greenhouse), performance and engagement platform (Lattice), compensation tooling (CandorIQ), and additional tools as needed; drive system optimization and data integrity across all platforms</li>\n</ul>\n<ul>\n<li>Lead (partnering with Finance/Payroll) the ongoing HRIS migration from Paylocity to UKG, ensuring continuity of operations, data accuracy, and a smooth employee experience throughout the transition</li>\n</ul>\n<ul>\n<li>Own recruiting operations (via Talent Ops Lead), including ATS configuration, hiring workflow design, process documentation, and data hygiene in Greenhouse</li>\n</ul>\n<ul>\n<li>Manage US and global benefits programs, including benefits vendor relationships and broker partnerships; oversee PEO relationships for employees in smaller international markets</li>\n</ul>\n<ul>\n<li>Own Mixpanel&#39;s immigration program, partnering with external counsel to support visa sponsorships, work authorization, and compliance across all geographies</li>\n</ul>\n<ul>\n<li>Own compensation operations in partnership with the Compensation Partner, including compensation survey participation, job architecture maintenance, compensation education and end-to-end compensation cycle administration</li>\n</ul>\n<ul>\n<li>Build and maintain people analytics infrastructure, including regular workforce reporting, executive dashboards, and ad hoc analysis for senior leadership</li>\n</ul>\n<ul>\n<li>Partner with Finance on headcount planning processes, ensuring accurate data, clean tooling, and streamlined workflows across People and Finance systems</li>\n</ul>\n<ul>\n<li>Design, document, and continuously improve People processes to drive efficiency, compliance, and a best-in-class employee experience</li>\n</ul>\n<ul>\n<li>Evaluate and manage external vendors and partners across the people tech, and benefits landscape as Mixpanel scales</li>\n</ul>\n<ul>\n<li>Identify and implement AI-powered tools and automation to streamline People workflows, reduce manual effort, and increase the speed and accuracy of operations across the team</li>\n</ul>\n<p>We&#39;re Looking For Someone Who Has</p>\n<ul>\n<li>8+ years of progressive HR/people operations experience, with at least 2 years in a people management role</li>\n</ul>\n<ul>\n<li>Hands-on experience owning and administering HRIS platforms at scale; experience with UKG or Paylocity is a strong plus</li>\n</ul>\n<ul>\n<li>Experience managing US and international benefits programs, including broker and vendor relationships</li>\n</ul>\n<ul>\n<li>Familiarity with PEO models and global employment solutions for smaller international markets</li>\n</ul>\n<ul>\n<li>Experience owning recruiting operations and ATS administration a plus; Greenhouse experience preferred</li>\n</ul>\n<ul>\n<li>Strong analytical skills, with a track record of building people dashboards and workforce reports for executive audiences</li>\n</ul>\n<ul>\n<li>Experience partnering with Finance on headcount planning processes and tooling</li>\n</ul>\n<ul>\n<li>A systems-thinking mindset with a passion for building scalable, well-documented processes, and a track record of leveraging AI tools to automate workflows and drive operational efficiency</li>\n</ul>\n<ul>\n<li>Excellent cross-functional collaboration skills and a high degree of ownership and follow-through</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s degree in HR, Business, or a related field, or an equivalent track record of building and scaling people operations functions</li>\n</ul>\n<p>Compensation</p>\n<p>The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.</p>\n<p>Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.</p>\n<p>Mixpanel Compensation Range</p>\n<p>$216,750-$293,250 USD</p>\n<p>Benefits and Perks</p>\n<ul>\n<li>Comprehensive Medical, Vision, and Dental Care</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefit</li>\n</ul>\n<ul>\n<li>Generous Vacation Policy &amp; Additional Company Holidays</li>\n</ul>\n<ul>\n<li>Enhanced Parental Leave</li>\n</ul>\n<ul>\n<li>Volunteer Time Off</li>\n</ul>\n<ul>\n<li>Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break</li>\n</ul>\n<p>Culture Values</p>\n<ul>\n<li>Make Bold Bets: We choose courageous action over comfortable progress.</li>\n</ul>\n<ul>\n<li>Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.</li>\n</ul>\n<ul>\n<li>One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.</li>\n</ul>\n<ul>\n<li>Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.</li>\n</ul>\n<ul>\n<li>Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.</li>\n</ul>\n<ul>\n<li>Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.</li>\n</ul>\n<p>Why choose Mixpanel?</p>\n<p>We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. 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You will move beyond configuring firewalls to engineering security into the network fabric itself,utilizing telemetry, automation, and deep protocol analysis.</p>\n<p>As a Staff Network Security Engineer, you will:</p>\n<p>Unravel and tackle network security challenges at an exhilarating global scale. Collaborate with exceptional network architects and engineers building the backbone infrastructure for the AI revolution. Enjoy the freedom and support to experiment, innovate, and significantly shape our approach to securing the underlay and overlay of our cloud.</p>\n<p>In this role, you will: Conducting architecture reviews, protocol analysis, and design assessments to proactively identify and fix vulnerabilities in our backbone and data center fabrics. Developing robust, repeatable frameworks for network security automation (CoPP, ACL generation, Route Filtering) that make it easy for teams to build securely from day one. 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Occasionally, &#39;drawing the owl&#39; - figuring out innovative solutions for securing massive throughput environments while navigating ambiguous situations.</p>\n<p>You will be working with a talented team of network engineers, security experts, and AI researchers to build and deploy a highly scalable and secure cloud infrastructure.</p>\n<p>If you are passionate about network security, cloud computing, and AI, and enjoy working in a fast-paced, dynamic environment, we encourage you to apply for this exciting opportunity.</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_a1ab2590-2b4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4620164006","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$188,000 to $275,000","x-skills-required":["core network protocols (BGP, OSPF/IS-IS, TCP/IP)","deep knowledge of how they function at the packet level","network automation or security tooling in Go, Python, or similar modern languages","collaborating with network architects to implement secure designs in multi-vendor environments","Linux networking internals, control plane protection, and managing infrastructure as code"],"x-skills-preferred":["hyperscale network architectures (CLOS fabrics, MPLS/EVPN, VXLAN)","hardware-level networking security (SmartNICs/DPUs, connectX)","flow-based telemetry analysis","internet routing security standards (RPKI, MANRS)","advanced DDoS mitigation strategies at the network layer","Infiniband and RoCE"],"datePosted":"2026-04-18T15:52:43.431Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"core network protocols (BGP, OSPF/IS-IS, TCP/IP), deep knowledge of how they function at the packet level, network automation or security tooling in Go, Python, or similar modern languages, collaborating with network architects to implement secure designs in multi-vendor environments, Linux networking internals, control plane protection, and managing infrastructure as code, hyperscale network architectures (CLOS fabrics, MPLS/EVPN, VXLAN), hardware-level networking security (SmartNICs/DPUs, connectX), flow-based telemetry analysis, internet routing security standards (RPKI, MANRS), advanced DDoS mitigation strategies at the network layer, Infiniband and RoCE","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":188000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6e8103bd-18a"},"title":"Customer Solutions Engineer Intern (Summer 2026)","description":"<p>About Us</p>\n<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world&#39;s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>As a Customer Solutions Engineer (CSE) intern, you will work alongside the Customer Success team as a hands-on technical contributor, with opportunities to independently own customer interactions as you ramp up. You are a technical expert and will leverage your knowledge &amp; AI to build tools and processes which ensures our Enterprise customers understand and utilize the Cloudflare platform to its fullest extent.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>AI-Driven Automation: Build and implement AI-native tooling and processes to automate technical, customer-facing workloads.</li>\n</ul>\n<ul>\n<li>Customer Technical Expertise: Serve as the trusted technical advisor for regional customers, proactively providing clear guidance and product expertise across the Cloudflare platform.</li>\n</ul>\n<ul>\n<li>Knowledge &amp; Best Practices Sharing: Drive team success by contributing to internal and external documentation, resolving technical Q&amp;A, and helping to iterate on best practices.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Currently undergoing a bachelor degree in computing or related field</li>\n</ul>\n<ul>\n<li>AI Tooling &amp; Automation: Demonstrated experience building tools with AI and a strong focus on using automation to solve technical and customer-facing challenges.</li>\n</ul>\n<ul>\n<li>Core Technical Knowledge: Foundational understanding of Web Technologies, Internet Security, Computer Networking, along with strong technical troubleshooting skills.</li>\n</ul>\n<ul>\n<li>Technical Curiosity &amp; Adaptability: Passionate about learning new technologies and comfortable working in a fast-paced environment that requires navigating ambiguity.</li>\n</ul>\n<ul>\n<li>Problem-Solving: Proven ability to proactively identify and diagnose complex issues, followed by developing sustainable, preventative solutions.</li>\n</ul>\n<ul>\n<li>Project &amp; Time Management: Ability to manage a project end-to-end, work effectively to deadlines, and prioritize competing demands.</li>\n</ul>\n<ul>\n<li>Communication &amp; Stakeholder Management: Excellent communication and interpersonal skills for managing stakeholders and providing clear technical guidance to Enterprise customers.</li>\n</ul>\n<ul>\n<li>Ability to commit to a minimum 12 week summer internship from May to August 2026.</li>\n</ul>\n<ul>\n<li>In office 3-5 days a week in Singapore.</li>\n</ul>\n<p>What will you learn?</p>\n<p>A front-row seat to how the global internet stays fast and secure, and learn a hybrid engineering, consulting &amp; AI skill set.</p>\n<ul>\n<li>You will learn how the Internet works. You aren’t just learning networking; you’re learning Internet-scale networking.</li>\n</ul>\n<ul>\n<li>The industry is moving away from centralized “clouds” toward Edge Computing. You’ll learn how to deploy applications to 300+ cities globally in milliseconds.</li>\n</ul>\n<ul>\n<li>You’ll gain the deep technical skills as an engineer while developing your business acumen as a consultant.</li>\n</ul>\n<ul>\n<li>You do not just play with ChatGPT wrappers. In this role, you’re building AI-native tools that make the internet self-configuring &amp; self-healing.</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers,at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use,it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here’s the deal,we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.</p>\n<p>Sound like something you’d like to be a part of? We’d love to hear from you!</p>\n<p>This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.</p>\n<p>Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.</p>\n<p>We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. 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However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\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 AIRE (AI Reliability Engineering) team, you will partner with teams across Anthropic to improve reliability across our most critical serving paths. You will develop Service Level Objectives for large language model serving systems, design and implement monitoring and observability systems, assist in the design and implementation of high-availability serving infrastructure, lead incident response for critical AI services, and support the reliability of safeguard model serving.</p>\n<p>You may be a good fit for this role if you have strong distributed systems, infrastructure, or reliability backgrounds, are curious and brave, think holistically about how systems compose and where the seams are, can build lasting relationships across teams, care about users and feel ownership over outcomes, have excellent communication and collaboration skills, and bring diverse experience.</p>\n<p>Strong candidates may also have experience operating large-scale model serving or training infrastructure, experience with one or more ML hardware accelerators, understanding of ML-specific networking optimizations, expertise in AI-specific observability tools and frameworks, experience with chaos engineering and systematic resilience testing, and contributions to open-source infrastructure or ML tooling.</p>\n<p>We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. We value impact and believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts and value communication skills.</p>\n<p>If you&#39;re interested in this role, please submit an application even if you don&#39;t believe you meet every single qualification. We encourage diversity and strive to include a range of diverse perspectives on our team.</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_709b405a-48b","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/5113224008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$325,000-$485,000 USD","x-skills-required":["distributed systems","infrastructure","reliability","Service Level Objectives","monitoring and observability systems","high-availability serving infrastructure","incident response","safeguard model serving"],"x-skills-preferred":["large-scale model serving or training infrastructure","ML hardware accelerators","ML-specific networking optimizations","AI-specific observability tools and frameworks","chaos engineering and systematic resilience testing","open-source infrastructure or ML tooling"],"datePosted":"2026-04-18T15:52:16.313Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, infrastructure, reliability, Service Level Objectives, monitoring and observability systems, high-availability serving infrastructure, incident response, safeguard model serving, large-scale model serving or training infrastructure, ML hardware accelerators, ML-specific networking optimizations, AI-specific observability tools and frameworks, chaos engineering and systematic resilience testing, open-source infrastructure or ML tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_766c8fe9-693"},"title":"IT Operations Specialist","description":"<p>CoreWeave is seeking an IT Operations Specialist to play a key role in supporting and scaling its internal IT environment. As an IT Operations Specialist, you will blend hands-on end-user and systems support with automation, platform ownership, and process improvement. You will work daily across identity, endpoints, SaaS platforms, and office infrastructure, while contributing to repeatable, scalable solutions that support a growing, distributed workforce.</p>\n<p>This role requires strong technical depth, sound operational judgment, and comfort operating in a fast-moving environment. You will work closely with Security, Systems Engineering, People Ops, and Engineering to support the full employee lifecycle while continuously improving reliability, automation, and operational maturity.</p>\n<p>Key responsibilities include administering identity and access management platforms, managing macOS and Windows endpoints, administering ITSM platforms, and troubleshooting across SaaS, endpoint, identity, and network layers. You will also create and maintain technical documentation for systems and operational procedures.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible PTO, catered lunch each day in our office and data center locations, and a casual work environment.</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_766c8fe9-693","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4664227006","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$98,000 to $130,000","x-skills-required":["identity and access management platforms","macOS and Windows endpoints","ITSM platforms","troubleshooting across SaaS, endpoint, identity, and network layers","technical documentation for systems and operational procedures","scripting experience in Python, Bash, or PowerShell","familiarity with Terraform or other infrastructure-as-code tools for automation"],"x-skills-preferred":["Kubernetes-based or containerized environments","compliance frameworks such as SOC 2 or ISO 27001","integrating SaaS platforms via APIs or automation tooling","office network topology, hardware, and physical infrastructure","high-growth startup or scale-up environments"],"datePosted":"2026-04-18T15:52:14.496Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, TX"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"identity and access management platforms, macOS and Windows endpoints, ITSM platforms, troubleshooting across SaaS, endpoint, identity, and network layers, technical documentation for systems and operational procedures, scripting experience in Python, Bash, or PowerShell, familiarity with Terraform or other infrastructure-as-code tools for automation, Kubernetes-based or containerized environments, compliance frameworks such as SOC 2 or ISO 27001, integrating SaaS platforms via APIs or automation tooling, office network topology, hardware, and physical infrastructure, high-growth startup or scale-up environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":98000,"maxValue":130000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_15a29cc3-0bf"},"title":"Senior Production Engineer","description":"<p>CORPORATION</p>\n<p>CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.</p>\n<p><strong>About the Role</strong></p>\n<p>Production Engineering ensures CoreWeave’s cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success.</p>\n<p>In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You’ll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments.</p>\n<p>This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.</li>\n</ul>\n<ul>\n<li>Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.</li>\n</ul>\n<ul>\n<li>Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.</li>\n</ul>\n<ul>\n<li>Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes.</li>\n</ul>\n<ul>\n<li>Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.</li>\n</ul>\n<ul>\n<li>Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns.</li>\n</ul>\n<ul>\n<li>Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.</li>\n</ul>\n<ul>\n<li>Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate.</li>\n</ul>\n<ul>\n<li>Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.</li>\n</ul>\n<p><strong>What You’ve Worked On (Minimum Qualifications)</strong></p>\n<ul>\n<li>7+ years of engineering experience building and operating distributed systems or cloud platforms.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation.</li>\n</ul>\n<ul>\n<li>Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools.</li>\n</ul>\n<ul>\n<li>Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.</li>\n</ul>\n<ul>\n<li>Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices.</li>\n</ul>\n<ul>\n<li>A track record of successfully delivering hands-on reliability improvements through engineering execution.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.</li>\n</ul>\n<ul>\n<li>Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering.</li>\n</ul>\n<ul>\n<li>Background operating or building large-scale AI or GPU-accelerated infrastructure.</li>\n</ul>\n<ul>\n<li>Experience maintaining multi-year ownership of foundational production systems.</li>\n</ul>\n<p>Why CoreWeave?</p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n</ul>\n<ul>\n<li>Act Like an Owner</li>\n</ul>\n<ul>\n<li>Empower Employees</li>\n</ul>\n<ul>\n<li>Deliver Best-in-Class Client Experiences</li>\n</ul>\n<ul>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization&#39;s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>\n<p>The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data center locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</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_15a29cc3-0bf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4670172006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,000 to $204,000","x-skills-required":["cloud computing","distributed systems","cloud platforms","Kubernetes","observability stacks","metrics","tracing","structured logs","SLOs/SLIs","incident lifecycle practices","Python","Go","programming","scripting","production services","tools"],"x-skills-preferred":["internal tooling","frameworks","automation","high-availability cloud operations","DR/BCP","service tiering","capacity planning","chaos engineering","large-scale AI","GPU-accelerated infrastructure"],"datePosted":"2026-04-18T15:52:09.786Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud computing, distributed systems, cloud platforms, Kubernetes, observability stacks, metrics, tracing, structured logs, SLOs/SLIs, incident lifecycle practices, Python, Go, programming, scripting, production services, tools, internal tooling, frameworks, automation, high-availability cloud operations, DR/BCP, service tiering, capacity planning, chaos engineering, large-scale AI, GPU-accelerated infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139000,"maxValue":204000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_53e1de36-d57"},"title":"Community Operations & Executive Escalations Manager","description":"<p>We are seeking an Operations Manager to build and lead a new pillar of our Platform Operations function: Community Operations &amp; Executive Escalations. This role will stand up the team, processes, and infrastructure that protect Anthropic&#39;s reputation when high-stakes user issues surface on social media or arrive through executive channels.</p>\n<p>You&#39;ll own end-to-end escalation management - detection, triage, incident coordination, and resolution- across two distinct but related workstreams: brand-impacting conversations on public social channels and high-sensitivity inbound from Anthropic employees on behalf of users. The ideal candidate combines calm-under-fire incident judgment with the operational rigor to build durable systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Hire, lead, and develop a high-performing team of Community Operations specialists, covering detection through resolution</li>\n<li>Build the function from zero: stand up social listening infrastructure, define escalation criteria and severity tiers, author the incident management SOP, and establish coverage hours and on-call schedules</li>\n<li>Own social monitoring across public channels - triaging brand mentions and running escalations to resolution</li>\n<li>Own executive escalations end to end: receive inbound from Anthropic executives on behalf of users, lead your team in quarterbacking investigation and coordinate remediation across partner teams</li>\n<li>Serve as the central coordination point during live escalations and drive public/private response decisions to closure</li>\n<li>Build clear operating models with cross-functional teams so every stakeholder knows exactly where to send an escalation and what happens next</li>\n<li>Define and report on success metrics (time to triage, time to resolution, escalation volume by source) and run post-incident reviews that feed learnings back into criteria and process</li>\n<li>Develop response templates and playbooks for common scenarios so the team can move fast without sacrificing quality or judgment</li>\n<li>Provide thoughtful coaching and feedback to your direct reports, and partner with them on their career development and growth</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>8+ years of experience in community operations, escalations management, or a related field - ideally in a consumer or developer platform environment</li>\n<li>5+ years of people management experience, preferably in a fast-growing technology company</li>\n<li>Direct experience running incident or escalation workflows: you&#39;ve been the person managing the channel, paging the on-call, and writing the post-incident report</li>\n<li>Familiarity with social listening tooling and the dynamics of how issues spread across public social platforms</li>\n<li>Excellent judgment under pressure in reading a fast-moving situation, separating signal from noise, and making calls with incomplete information</li>\n<li>Proven track record of building operational programs from 0 to 1: writing the SOP, defining the criteria, standing up the tooling, and then iterating as reality breaks your assumptions</li>\n<li>Strong cross-functional influence and ability to align teams around a shared plan in real time, even when incentives differ</li>\n<li>Clear, concise written communication - you can brief an executive in three sentences and document an incident so the next person can learn from it</li>\n<li>Comfort with ambiguity and a bias toward action; this team doesn&#39;t exist yet and you&#39;ll be defining what good looks like</li>\n<li>Excitement about protecting Anthropic&#39;s reputation and relationships at a moment when public attention on AI has never been higher</li>\n</ul>\n<p>The annual compensation range for this role is $260,000-$310,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>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.</li>\n</ul>\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. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates&#39; AI Usage: Learn about our policy for using AI in our application process</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_53e1de36-d57","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/5179769008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$260,000-$310,000 USD","x-skills-required":["community operations","escalations management","social listening tooling","incident or escalation workflows","people management","cross-functional influence","communication","bias toward action"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:06.991Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"community operations, escalations management, social listening tooling, incident or escalation workflows, people management, cross-functional influence, communication, bias toward action","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":260000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_09d2b729-96d"},"title":"Senior Software Security Engineer","description":"<p>About Anthropic</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.</p>\n<p>The Security Engineering team protects Anthropic&#39;s AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments</li>\n<li>Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security</li>\n<li>Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments</li>\n<li>Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.</li>\n<li>Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement</li>\n<li>Identify and remediate security gaps through code review, threat modeling, and hands-on debugging</li>\n<li>Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production</li>\n<li>Bachelor&#39;s degree in Computer Science or equivalent industry experience</li>\n<li>Strong programming skills in Python or at least one systems language such as Go or Rust</li>\n<li>Experience contributing to cloud security controls</li>\n<li>A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix</li>\n<li>Clear communication skills and the ability to work collaboratively across engineering teams</li>\n<li>Low ego and high empathy, with a genuine interest in helping teammates succeed</li>\n<li>Passion for AI safety and the role security engineering plays in building trustworthy AI systems</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure</li>\n<li>Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers</li>\n<li>Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation</li>\n<li>Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy</li>\n<li>Experience with eBPF for security monitoring and enforcement, or developing kernel security policies</li>\n<li>Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE</li>\n<li>Background building or operating security systems in environments that support research workflows and rapid iteration</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive compensation and benefits</li>\n<li>Optional equity donation matching</li>\n<li>Generous vacation and parental leave</li>\n<li>Flexible working hours</li>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p>How to Apply:</p>\n<p>If you&#39;re interested in this role, please submit your application through our website. We look forward to hearing from you!</p>\n<p>Note: Anthropic is an equal opportunity employer and welcomes applications from diverse candidates.</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_09d2b729-96d","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/4887959008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Python","Go","Rust","Cloud security controls","Kubernetes","Infrastructure-as-code","Security scanning","Automated remediation"],"x-skills-preferred":["Developer security tooling","SAST","Dependency scanning","Secure build infrastructure","Network security","Isolation techniques","East-west controls","Traffic inspection","Cloud network policy","eBPF","Kernel security policies","Secrets management","Workload authentication","OAuth 2.0","OIDC","SAML","SPIFFE/SPIRE"],"datePosted":"2026-04-18T15:51:54.658Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Rust, Cloud security controls, Kubernetes, Infrastructure-as-code, Security scanning, Automated remediation, Developer security tooling, SAST, Dependency scanning, Secure build infrastructure, Network security, Isolation techniques, East-west controls, Traffic inspection, Cloud network policy, eBPF, Kernel security policies, Secrets management, Workload authentication, OAuth 2.0, OIDC, SAML, SPIFFE/SPIRE","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9537437b-e23"},"title":"Staff Backend Engineer, Knowledge Graph (Rust)","description":"<p>As a Staff Backend Engineer on the GitLab Knowledge Graph team, you&#39;ll help design, scale, and operate a high-impact graph data service that underpins agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments.</p>\n<p>You&#39;ll partner with a small, senior Rust-first team to ship reliable graph capabilities and make them easy for other teams and agents to use. The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features.</p>\n<p>In this role, you&#39;ll own core parts of the system end to end: shaping the architecture, hardening multi-tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities. In your first year, you&#39;ll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi-tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.</li>\n</ul>\n<ul>\n<li>Owning complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.</li>\n</ul>\n<ul>\n<li>Driving system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP-style) graph workloads. This includes multi-hop traversals, aggregations, and multi-tenant isolation. Document trade-offs so the broader team can move quickly and stay aligned.</li>\n</ul>\n<ul>\n<li>Defining and improving operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.</li>\n</ul>\n<ul>\n<li>Collaborating asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform-level dependencies, and land features in a way that is safe for customers and sustainable for the team.</li>\n</ul>\n<ul>\n<li>Applying AI-assisted development workflows responsibly (for example, using MCP-aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.</li>\n</ul>\n<ul>\n<li>Mentoring and supporting other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.</li>\n</ul>\n<ul>\n<li>Contributing across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.</li>\n</ul>\n<p>This role requires significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms. Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase are essential. Additionally, strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs, are necessary.</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_9537437b-e23","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://about.gitlab.com/","logo":"https://logos.yubhub.co/about.gitlab.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gitlab/jobs/8481945002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Rust","ClickHouse","NATS JetStream","Data Insights Platform","graph data modeling","query patterns","property graphs","Cypher/GQL","n-hop traversals","aggregations","multi-tenant isolation","service level objectives","observability","runbooks","incident response","capacity planning","production readiness","AI-assisted development workflows","MCP-aware tools","Knowledge Graph-backed agents","internal Duo tooling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:38.397Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Rust, ClickHouse, NATS JetStream, Data Insights Platform, graph data modeling, query patterns, property graphs, Cypher/GQL, n-hop traversals, aggregations, multi-tenant isolation, service level objectives, observability, runbooks, incident response, capacity planning, production readiness, AI-assisted development workflows, MCP-aware tools, Knowledge Graph-backed agents, internal Duo tooling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6df4ffb9-871"},"title":"Senior Manager, Product Management, People Technology","description":"<p>CoreWeave is building a modern, AI-first enterprise stack that powers the full employee and partner lifecycle. We are looking for a Senior Manager, Product Management, People Tech and Legal to own the strategy, roadmap, and delivery for our People technology platforms (HRIS, Talent, People Ops) and Legal systems.</p>\n<p>This role will lead product management across systems that serve our employees, candidates, HR and People Operations, Talent Acquisition, and Legal teams. You will be the connective tissue between People, Legal, IT, Security, and Finance , designing and shipping platforms, workflows, and automations that are delightful, compliant, and highly efficient.</p>\n<p>Deliver a unified “hire-to-retire and contract lifecycle” experience that reduces friction and manual work for employees, candidates, managers, HR and People Ops, Talent Acquisition, and Legal stakeholders.</p>\n<p>Define and own the product vision and strategy for our People Tech and Legal systems ecosystem, spanning HRIS, ATS, performance and engagement tools, learning platforms, compensation, employee relations tooling, and CLM and Legal platforms.</p>\n<p>Lead end-to-end product delivery for People Tech and Legal systems, including discovery, requirements, prioritization, launch, adoption, and continuous improvement, with a strong focus on measurable business outcomes.</p>\n<p>Use automation, integrations, and GenAI-driven workflows to transform processes such as recruiting, onboarding, internal mobility, performance cycles, policy and document management, and contract review, approvals, and renewals.</p>\n<p>Establish and own clear product metrics (for example SLA adherence, time-to-hire, time-to-onboard, cycle time for contract workflows, data quality, and control health) and run the roadmap to move those metrics in meaningful ways.</p>\n<p>Partner with Legal, Compliance, Security, and Finance to embed pragmatic controls into systems and workflows, ensuring People and Legal platforms support SOX, SOC 2, privacy, and regulatory requirements while still enabling high-velocity operations.</p>\n<p>Act as the principal product partner for People and Legal leadership, influencing how we scale our operating models, controls, and user experience as the company grows, and setting standards other product areas rely on.</p>\n<p>We are looking for a strategic thinker, structured problem solver, fast mover, thoughtful risk taker, and deeply customer-obsessed product leader who can operate at both architecture and execution levels.</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_6df4ffb9-871","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4652653006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$161,000 to $237,000","x-skills-required":["product management","people technology","legal systems","HRIS","ATS","performance and engagement tools","learning platforms","compensation","employee relations tooling","CLM and Legal platforms","automation","integrations","GenAI-driven workflows","recruiting","onboarding","internal mobility","performance cycles","policy and document management","contract review","approvals","renewals","SLA adherence","time-to-hire","time-to-onboard","cycle time for contract workflows","data quality","control health"],"x-skills-preferred":["Workday","Greenhouse","Okta","Ironclad","Workato","GenAI-augmented internal workflows","Corporate Legal","Employment Legal","Compliance","cloud","data center","AI-focused companies"],"datePosted":"2026-04-18T15:51:36.458Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"product management, people technology, legal systems, HRIS, ATS, performance and engagement tools, learning platforms, compensation, employee relations tooling, CLM and Legal platforms, automation, integrations, GenAI-driven workflows, recruiting, onboarding, internal mobility, performance cycles, policy and document management, contract review, approvals, renewals, SLA adherence, time-to-hire, time-to-onboard, cycle time for contract workflows, data quality, control health, Workday, Greenhouse, Okta, Ironclad, Workato, GenAI-augmented internal workflows, Corporate Legal, Employment Legal, Compliance, cloud, data center, AI-focused companies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":161000,"maxValue":237000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ee8b8728-edf"},"title":"Security Engineer - Detection & Response","description":"<p>As a Security Engineer - Detection &amp; Response at xAI, you will lead day-to-day security threat management, identify and manage potential incidents, and work with partner teams on known or suspected security threats. You will support threat intelligence, threat hunting, intrusion detection, and incident response efforts that adhere to, and push forward, best practices.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar are preferred.</li>\n<li>Drive continual improvement in processes, procedures, and automations to improve the quality and effectiveness of the team.</li>\n<li>Participate in a 24/7 on-call rotation performing security incident response.</li>\n<li>Commandeering security incidents and updating stakeholders.</li>\n<li>Identify and develop new detection use cases and optimize existing detections.</li>\n<li>Collaborate on technical directions and solutions with other teams.</li>\n<li>Research and analyze patterns in security events across X&#39;s global infrastructure.</li>\n<li>Identify, design, and lead threat hunting missions to quantify and reduce threats.</li>\n<li>Manage and support the log collection, security scanning, intrusion detection, and other security-related systems.</li>\n<li>Design and assist in the development of automation to reduce false positives and handle events automatically.</li>\n<li>Analyze the security posture of systems via testing and vulnerability impact analysis.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>2+ years of relevant information security experience.</li>\n<li>Self-starter, can receive a task and execute with minimal supervision.</li>\n<li>Strong Python scripting skills for implementing security automation.</li>\n<li>Knowledge of networking and macOS, Windows, or Linux operating systems.</li>\n<li>Knowledge of cloud security fundamentals and practices (vendor agnostic).</li>\n<li>Experience managing and/or deploying security technology.</li>\n<li>Experience with building queries and dashboards for security monitoring.</li>\n<li>Knowledge of current threats and techniques and a desire to research and learn more.</li>\n<li>Experience with malware analysis, forensics, or penetration testing.</li>\n<li>Problem-solving skills or experience with troubleshooting.</li>\n</ul>\n<p>ITAR Requirements:</p>\n<p>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.</p>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Elastic / OpenSearch or similar platforms.</li>\n<li>Open Source security automation tooling.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>$180,000 - $440,000 USD. Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</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_ee8b8728-edf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5008186007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["CISA","CRISC","CGEIT","Security+","CASP+","Python","Networking","macOS","Windows","Linux","Cloud Security","Security Technology","Malware Analysis","Forensics","Penetration Testing"],"x-skills-preferred":["Elastic","OpenSearch","Open Source Security Automation Tooling"],"datePosted":"2026-04-18T15:51:35.367Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"CISA, CRISC, CGEIT, Security+, CASP+, Python, Networking, macOS, Windows, Linux, Cloud Security, Security Technology, Malware Analysis, Forensics, Penetration Testing, Elastic, OpenSearch, Open Source Security Automation Tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5f12e37f-373"},"title":"Sr. Staff Data & Applied Scientist, GenAI & Labeling Platforms","description":"<p>We&#39;re seeking an experienced Data Scientist to drive step function improvements in our data labeling capabilities at Pinterest. As a Sr. Staff Data &amp; Applied Scientist, GenAI &amp; Labeling Platforms, you will lead high-impact technical work in the space of Generative AI-powered labeling and evaluation systems.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Driving high-impact scientific work across GenAI-powered labeling and evaluation systems</li>\n<li>Identifying opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency</li>\n<li>Developing prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows</li>\n<li>Designing rigorous measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs</li>\n<li>Partnering with engineering, product, and data science teams to shape roadmaps and productionize successful approaches</li>\n<li>Establishing strong standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight</li>\n<li>Creating reusable methods and frameworks that can scale across teams and use cases</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data</li>\n<li>Deep hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems</li>\n<li>Strong experience applying LLMs or other generative AI techniques to practical workflows, systems, or products</li>\n<li>Demonstrated ability to turn ambiguous problems into rigorous analyses, experiments, prototypes, and scalable solutions</li>\n<li>Proven track record of writing high-quality code and using technical work to influence product or platform direction</li>\n<li>Strong cross-functional collaboration skills and a track record of influencing leaders and peers through data and technical judgment</li>\n<li>Strong business and product sense with the ability to define meaningful success metrics and prioritize high-value opportunities</li>\n<li>Self-directed learning mindset and comfort working in a rapidly evolving technical landscape</li>\n<li>Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred</li>\n</ul>\n<p>In-office requirement statement: This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</p>\n<p>Relocation statement: This position is not eligible for relocation assistance.</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_5f12e37f-373","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7775686","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,738-$402,990 USD","x-skills-required":["Data Science","Machine Learning","Generative AI","Labeling Systems","Evaluation Frameworks","Human Judgment Workflows","Internal AI Tooling"],"x-skills-preferred":["LLMs","Prompt Optimization","Task Decomposition","Quality Estimation","Routing","Human-in-the-Loop Workflows"],"datePosted":"2026-04-18T15:51:34.310Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA, US; 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surface risks early and drive corrective action</p>\n<p>Run weekly and monthly performance reviews with vendor site leads; track trends and follow through on action items</p>\n<p>Partner with Support Operations and WFM on capacity, scheduling, and shrinkage issues that affect SLA attainment</p>\n<p>Escalate persistent performance issues to the Vendor Management Lead with clear data and recommended next steps</p>\n<p>QUALITY PROGRAM</p>\n<p>Run the quality program for vendor and contractor agents: calibration sessions, audits, and scorecards aligned to Anthropic&#39;s standards for accuracy, safety, and brand voice</p>\n<p>Close the loop between QA findings and coaching, partnering with vendor site leads on agent-level performance</p>\n<p>KNOWLEDGE TRANSFER &amp; ENABLEMENT</p>\n<p>Own the knowledge transfer process for new product launches, feature releases, and policy changes , making sure vendor and contractor teams are ready on day one</p>\n<p>Maintain vendor- and contractor-facing resources (runbooks, macros, knowledge base articles, training materials) and keep them current as products evolve</p>\n<p>Partner with Support Operations and Learning &amp; Enablement to deliver ongoing enablement and refresher training</p>\n<p>SERVE AS THE DAY-TO-DAY POINT OF CONTACT FOR VENDOR AND CONTRACTOR QUESTIONS ON PRODUCT, PROCESS, AND TOOLING</p>\n<p>WHAT WE&#39;RE LOOKING FOR</p>\n<p>3–6 years of experience in support operations, vendor/BPO program management, or a related operational role</p>\n<p>Track record of driving performance against SLAs and quality metrics in a customer support environment</p>\n<p>Strong program management skills , you can run a recurring operating cadence, track action items, and follow through without being chased</p>\n<p>Experience building and maintaining enablement content (runbooks, KB articles, training materials)</p>\n<p>Comfortable working with data to spot trends and tell a clear story about performance</p>\n<p>EXCELLENT CROSS-FUNCTIONAL COLLABORATION SKILLS , YOU&#39;LL WORK CLOSELY WITH VENDOR SITE LEADS, SUPPORT OPS, L&amp;D, AND PRODUCT TEAMS</p>\n<p>GENUINE CURiosity ABOUT AI AND ENTHUSIASM FOR HELPING ANTHROPIC&#39;S CUSTOMERS SUCCEED</p>\n<p>NICE TO HAVE</p>\n<p>Experience with tiered or paid enterprise support models</p>\n<p>Familiarity with AI-augmented support workflows</p>\n<p>BACKGROUND WORKING WITH FOLLOW-THE-SUN VENDOR OPERATIONS ACROSS AMER, EMEA, AND APAC</p>\n<p>EXPERIENCE WITH INTERCOM OR SIMILAR SUPPORT TOOLING</p>\n<p>LOGISTICS</p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>\n<p>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</p>\n<p>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</p>\n<p>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 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_1e90b9d9-711","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/5153690008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$165,000-$210,000 USD","x-skills-required":["Vendor management","Program management","SLA attainment","Quality management","Knowledge transfer","Enablement","Data analysis","Cross-functional collaboration"],"x-skills-preferred":["Tiered or paid enterprise support models","AI-augmented support workflows","Follow-the-sun vendor operations","Intercom or similar support tooling"],"datePosted":"2026-04-18T15:51:30.354Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Vendor management, Program management, SLA attainment, Quality management, Knowledge transfer, Enablement, Data analysis, Cross-functional collaboration, Tiered or paid enterprise support models, AI-augmented support workflows, Follow-the-sun vendor operations, Intercom or similar support tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_72ebb09d-b37"},"title":"Staff+ Software Engineer, Observability","description":"<p>We&#39;re seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. 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In this role, you’ll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally.</p>\n<p>You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback.</p>\n<p>This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Collaborate with engineering teams to ensure smooth onboarding and adoption of Weights &amp; Biases</li>\n<li>Act as a trusted advisor on best practices for implementing and scaling ML pipelines and agentic workflows</li>\n<li>Represent the voice of the customer internally and influence our product roadmap based on real-world customer feedback</li>\n<li>Partner directly with leading AI teams to optimize workflows and share technical expertise</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3–5 years of relevant experience in a similar role</li>\n<li>Strong programming proficiency in Python</li>\n<li>Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT)</li>\n<li>Familiarity with cloud platforms (AWS, GCP, Azure)</li>\n<li>Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate)</li>\n<li>Strong experience with Linux/Unix</li>\n<li>Excellent communication and presentation skills, both written and verbal</li>\n<li>Ability to break down and solve complex problems through customer consultation and execution</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Background in robotics</li>\n<li>TypeScript experience</li>\n<li>Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM</li>\n<li>Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes</li>\n<li>Familiarity with data pipeline tools</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_ca21d379-481","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4651106006","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["Python","ML systems","deep learning frameworks","MLOps tooling","cloud platforms","GenAI/LLMs","Linux/Unix","communication and presentation skills"],"x-skills-preferred":["robotics","TypeScript","Fastai","scikit-learn","XGBoost","LightGBM","data engineering","Docker","Kubernetes"],"datePosted":"2026-04-18T15:50:58.312Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Philadelphia, PA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, ML systems, deep learning frameworks, MLOps tooling, cloud platforms, GenAI/LLMs, Linux/Unix, communication and presentation skills, robotics, TypeScript, Fastai, scikit-learn, XGBoost, LightGBM, data engineering, Docker, Kubernetes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ee567c88-186"},"title":"SMB Account Executive, Industries","description":"<p>As a SMB Account Executive on Anthropic&#39;s Industries team, you&#39;ll drive adoption of safe, frontier AI by securing strategic deals with small and medium businesses across key verticals.</p>\n<p>You&#39;ll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities.</p>\n<p>You&#39;ll be part of Anthropic&#39;s innovative Industries team, focusing on sector-specific solutions within key verticals. 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