{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/internal-tools"},"x-facet":{"type":"skill","slug":"internal-tools","display":"Internal Tools","count":21},"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_6365e7d7-511"},"title":"Senior Forward Deployed Data Scientist/Engineer","description":"<p>We&#39;re hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.</p>\n<p>This is not a traditional analytics role. 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. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.</p>\n<p>Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities</p>\n<p>Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information</p>\n<p>Preferred qualifications: 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</p>\n<p>What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. 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_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_69e8923b-c16"},"title":"Senior Data Scientist","description":"<p>We&#39;re seeking a Senior Data Scientist to join our Research, Analytics &amp; Data Science (RAD) team. Our team uses data and insights to drive evidence-based decision-making, generating actionable insights about our customers, products, and business.</p>\n<p>As a Senior Data Scientist, you&#39;ll partner with product teams to help them identify important questions and answer those questions with data. You&#39;ll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.</p>\n<p>You&#39;ll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You&#39;ll also partner closely with product researchers to build a holistic understanding of our customers, products, and business.</p>\n<p>Increasingly, you&#39;ll use AI-assisted tools to accelerate analysis, coding, and insight generation. You&#39;ll identify opportunities to automate your own workflows and reduce time spent on repetitive tasks. You&#39;ll build scalable data products that enable stakeholders to self-serve insights and raise the bar for how AI is used within RAD.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Partnering with product teams to help them identify important questions and answer those questions with data</li>\n<li>Working closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities</li>\n<li>Designing, building, and updating end-to-end data pipelines</li>\n<li>Partnering closely with product researchers to build a holistic understanding of our customers, products, and business</li>\n<li>Using AI-assisted tools to accelerate analysis, coding, and insight generation</li>\n<li>Identifying opportunities to automate your own workflows and reduce time spent on repetitive tasks</li>\n<li>Building scalable data products that enable stakeholders to self-serve insights</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>5+ years of experience working with data to solve problems and drive evidence-based decisions</li>\n<li>Strong SQL skills and solid grounding in statistics</li>\n<li>Experience working closely with product teams</li>\n<li>Proven track record of delivering actionable insights that drive measurable impact with minimal supervision</li>\n<li>Strong product intuition, business acumen, and ability to connect analysis to strategy</li>\n<li>Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes</li>\n<li>Strong ownership, curiosity, and growth mindset</li>\n<li>Experience with a scientific computing language (e.g., Python)</li>\n</ul>\n<p>Preferred skills include:</p>\n<ul>\n<li>Experience with data modeling and ETL pipelines (esp. dbt)</li>\n<li>Experience building internal tools, data products, or self-serve analytics capabilities</li>\n<li>Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication</li>\n</ul>\n<p>Benefits include:</p>\n<ul>\n<li>Competitive salary and equity in a fast-growing start-up</li>\n<li>Unlimited access to Claude Code and best-in-class AI tools; experimentation &amp; building is encouraged &amp; celebrated</li>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen</li>\n<li>Regular compensation reviews - we reward great work</li>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents</li>\n<li>Open vacation policy and flexible holidays so you can take time off when you need it</li>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones</li>\n<li>MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done</li>\n</ul>\n<p>Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and equity in a fast-growing start-up Required Skills: SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, and growth mindset, experience with a scientific computing language (e.g., Python) Preferred Skills: data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow</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_69e8923b-c16","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/7749323","x-work-arrangement":null,"x-experience-level":null,"x-job-type":null,"x-salary-range":null,"x-skills-required":["SQL","statistics","experience working with product teams","strong product intuition","business acumen","excellent communication skills","strong ownership","curiosity","growth mindset","experience with a scientific computing language (e.g., Python)"],"x-skills-preferred":["data modeling and ETL pipelines (esp. dbt)","building internal tools","data products","or self-serve analytics capabilities","leveraging AI across the data workflow"],"datePosted":"2026-04-18T15:56:25.055Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England"}},"skills":"SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, growth mindset, experience with a scientific computing language (e.g., Python), data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8d879dcd-c1f"},"title":"Forward Deployed AI Accelerator, Marketing","description":"<p>As a Forward Deployed AI Accelerator, you will be embedded with a group of approximately 20 marketers organized by functional team, shared workflow, or location. You will build alongside them, and you will help them fundamentally change how they operate.</p>\n<p>Your measure of success is the number of workflows you&#39;ve permanently transformed and the extent to which those in your group start any task with an AI tool.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Identify and document the highest-leverage workflow transformations within your group&#39;s day-to-day work by deeply understanding their processes and outputs</li>\n<li>Build custom tools, agents, automations, and skills tailored to each marketer&#39;s specific responsibilities</li>\n<li>Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency</li>\n<li>Teach marketers to build and iterate on their own tools over time, creating independence</li>\n<li>Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers</li>\n<li>Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other&#39;s work</li>\n<li>Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success</li>\n<li>Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work</li>\n<li>Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows</li>\n</ul>\n<p>Who you are:</p>\n<p>We&#39;re looking for people who have already lived the transformation they&#39;ll be driving for others. You&#39;ve used AI to fundamentally change how you work , not as a novelty, but as your default operating mode.</p>\n<ul>\n<li>You are a deep AI practitioner. You build agents, automations, and tools fluently. You don&#39;t just know what AI can do in theory , you&#39;ve built things that changed how real work gets done. You can build in real time alongside the people you support.</li>\n<li>You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.</li>\n<li>You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone&#39;s work is a prerequisite to transforming it.</li>\n<li>You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.</li>\n<li>You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You&#39;re the kind of person who could succeed in many roles at Stripe.</li>\n<li>You bias toward action and speed. You&#39;d rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what&#39;s theoretically possible next quarter.</li>\n<li>You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.</li>\n</ul>\n<p>Minimum requirements:</p>\n<ul>\n<li>5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration</li>\n<li>Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)</li>\n<li>Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you&#39;ve helped actually changed how they work</li>\n<li>Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners</li>\n<li>Comfort working across multiple workstreams and relationships simultaneously (you&#39;ll be supporting ~20 marketers at varying stages of their AI journey)</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_8d879dcd-c1f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7748114","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI development tools and platforms","Claude","Claude Code","Codex","custom agent frameworks","API integrations","workflow automation tools","deep learning","natural language processing","computer vision","machine learning","data science","statistics","mathematics","programming languages","software development","agile methodologies","scrum","kanban","project management","team leadership","coaching","communication","marketing","growth","operations","change management","organizational transformation","large-scale enablement programs","marketing technology stacks","Marketo","Salesforce","analytics platforms","content management tools"],"x-skills-preferred":["experience in marketing, marketing operations, growth, or a closely adjacent function","proficiency with AI development tools and platforms","experience with change management, organizational transformation, or large-scale enablement programs","familiarity with marketing technology stacks","experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team","background in consulting, solutions engineering, technical account management, or other client-facing technical roles"],"datePosted":"2026-04-18T15:54:07.950Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Sydney"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI development tools and platforms, Claude, Claude Code, Codex, custom agent frameworks, API integrations, workflow automation tools, deep learning, natural language processing, computer vision, machine learning, data science, statistics, mathematics, programming languages, software development, agile methodologies, scrum, kanban, project management, team leadership, coaching, communication, marketing, growth, operations, change management, organizational transformation, large-scale enablement programs, marketing technology stacks, Marketo, Salesforce, analytics platforms, content management tools, experience in marketing, marketing operations, growth, or a closely adjacent function, proficiency with AI development tools and platforms, experience with change management, organizational transformation, or large-scale enablement programs, familiarity with marketing technology stacks, experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team, background in consulting, solutions engineering, technical account management, or other client-facing technical roles"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4fde2d89-11c"},"title":"Research Engineer, Economic Research","description":"<p>As a Research Engineer on the Economic Research team, you will design, build, and maintain critical infrastructure that powers Anthropic&#39;s research on AI&#39;s economic impact. You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting &amp; implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research &amp; technical skills.\\n\\nResponsibilities:\\n\\n<em> Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.\\n</em> Expand privacy-preserving tools to enable new analytic functionality to support research needs.\\n<em> Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don&#39;t yet exist.\\n</em> Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.\\n<em> Contribute to the strategic development of the economic research data foundations roadmap\\n</em> Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure\\n<em> Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions\\n</em> Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.\\n<em> Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission\\n\\nYou might be a good fit if you have:\\n\\n</em> Experience working with Research Scientists and Economists on ambiguous AI and economic projects\\n<em> Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.\\n</em> Experience with cloud infrastructure platforms such as AWS or GCP.\\n<em> Take pride in writing clean, well-documented code in Python that others can build upon\\n</em> Are comfortable making technical decisions with incomplete information while maintaining high engineering standards\\n<em> Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization\\n</em> Have a track record of using technical infrastructure to interface effectively with machine learning models\\n<em> Have experience deriving insights from imperfect data streams\\n</em> Have experience building systems and products on top of LLMs\\n<em> Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders\\n</em> A passion for Anthropic&#39;s mission of building helpful, honest, and harmless AI and understanding its economic implications.\\n<em> A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\\n</em> Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.\\n\\nStrong candidates may have:\\n\\n<em> Background in econometrics, statistics, or quantitative social science research\\n</em> Experience building data infrastructure and data foundations for research\\n<em> Familiarity with large language models, AI systems, or ML research workflows\\n</em> Prior work on projects related to labor economics, technology adoption, or economic measurement\\n\\nSome Examples of Our Recent Work\\n\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-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.\\nVisa 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.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour 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.\\n\\nHow we&#39;re different\\n\\nWe 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. 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As part of a 13-person cross-functional team of engineers, designers, researchers, and product managers, you&#39;ll work on platforms that serve Airbnb&#39;s entire global workforce. Our portfolio includes One Airbnb (the company&#39;s internal cultural hub with enterprise search, people profiles, and AI-powered chat), OneChat (Airbnb&#39;s enterprise AI assistant enabling secure LLM interactions), and a suite of tools that power how employees discover information, connect with colleagues, and get work done. 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You will:</p>\n<ul>\n<li>Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs</li>\n<li>Drive innovation by taking AI prototypes from concept to production at scale</li>\n<li>Shape the future of how Airbnb employees work, collaborate, and discover information</li>\n</ul>\n<p><strong>A Typical Day</strong></p>\n<ul>\n<li>Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization</li>\n<li>Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb&#39;s global workforce</li>\n<li>Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making</li>\n<li>Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices</li>\n<li>Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response</li>\n<li>Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs</li>\n<li>Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions</li>\n<li>Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application</li>\n<li>Balance hands-on technical contributions with technical leadership activities</li>\n</ul>\n<p><strong>Your Expertise</strong></p>\n<ul>\n<li>8+ years of software engineering experience, with significant focus on building production AI/ML systems</li>\n<li>2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)</li>\n<li>Strong proficiency in backend technologies (TypeScript, Go, or Java)</li>\n<li>Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)</li>\n<li>Track record of shipping AI-powered products from prototype to production</li>\n<li>Proven ability to collaborate cross-functionally and influence without authority</li>\n<li>Excellent communication skills with ability to distill complex technical concepts for diverse audiences</li>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or equivalent practical experience</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Master&#39;s or PhD in Computer Science, Machine Learning, or related field</li>\n<li>Experience building AI agents and multi-agent systems, preferably using Claude</li>\n<li>Experience building integrations using MCP</li>\n<li>Experience with containerization and orchestration (Docker, Kubernetes)</li>\n<li>Background in building enterprise-grade internal tools and developer productivity platforms</li>\n<li>Experience with frontend technologies (React, Next.js) for full-stack AI product development</li>\n<li>Contributions to open-source Gen AI/ML projects or publications at top venues</li>\n</ul>\n<p><strong>Your Location</strong></p>\n<p>This position is based in Bangalore, India with a hybrid work arrangement. You&#39;ll collaborate with teammates across global time zones, with primary alignment to Pacific Time for key meetings.</p>\n<p><strong>Our Commitment to Inclusion &amp; Belonging</strong></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. 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You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting &amp; implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research &amp; technical skills.\\n\\nResponsibilities:\\n\\n<em> Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.\\n</em> Expand privacy-preserving tools to enable new analytic functionality to support research needs.\\n<em> Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don&#39;t yet exist.\\n</em> Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.\\n<em> Contribute to the strategic development of the economic research data foundations roadmap\\n</em> Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure\\n<em> Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions\\n</em> Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.\\n<em> Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission\\n\\nYou might be a good fit if you have:\\n\\n</em> Experience working with Research Scientists and Economists on ambiguous AI and economic projects\\n<em> Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.\\n</em> Experience with cloud infrastructure platforms such as AWS or GCP.\\n<em> Take pride in writing clean, well-documented code in Python that others can build upon\\n</em> Are comfortable making technical decisions with incomplete information while maintaining high engineering standards\\n<em> Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization\\n</em> Have a track record of using technical infrastructure to interface effectively with machine learning models\\n<em> Have experience deriving insights from imperfect data streams\\n</em> Have experience building systems and products on top of LLMs\\n<em> Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders\\n</em> A passion for Anthropic&#39;s mission of building helpful, honest, and harmless AI and understanding its economic implications.\\n<em> A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\\n</em> Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.\\n\\nStrong candidates may have:\\n\\n<em> Background in econometrics, statistics, or quantitative social science research\\n</em> Experience building data infrastructure and data foundations for research\\n<em> Familiarity with large language models, AI systems, or ML research workflows\\n</em> Prior work on projects related to labor economics, technology adoption, or economic measurement\\n\\nSome Examples of Our Recent Work\\n\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-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.\\nVisa 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.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour 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.\\n\\nHow we&#39;re different\\n\\nWe 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. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>Anthropic&#39;s Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you&#39;ll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. 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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><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Team</strong></p>\n<p>As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. 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The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and implement AI-based monitoring systems for AI training and deployment</li>\n</ul>\n<ul>\n<li>Extend and improve core frameworks for processing large volumes of unstructured text</li>\n</ul>\n<ul>\n<li>Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions</li>\n</ul>\n<ul>\n<li>Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings</li>\n</ul>\n<ul>\n<li>Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have 5+ years of software engineering experience, with meaningful exposure to ML systems</li>\n</ul>\n<ul>\n<li>Are excited about the problem of scaling human oversight of AI systems</li>\n</ul>\n<ul>\n<li>Are familiar with LLM application development (context engineering, evaluation, orchestration)</li>\n</ul>\n<ul>\n<li>Enjoy building tools that other people use — you care about UX, reliability, and documentation</li>\n</ul>\n<ul>\n<li>Can context-switch between deep infrastructure work and user-facing product thinking</li>\n</ul>\n<ul>\n<li>Thrive in collaborative, cross-functional environments</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Research experience in AI safety, alignment, or responsible deployment</li>\n</ul>\n<ul>\n<li>Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks</li>\n</ul>\n<ul>\n<li>Experience with productionizing internal tools or building developer-facing platforms</li>\n</ul>\n<ul>\n<li>Background in building monitoring or observability systems</li>\n</ul>\n<ul>\n<li>Comfort with ambiguity — our team is small and growing, and you&#39;ll help define what we become</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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><strong>Visa sponsorship:</strong> 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><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. 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You&#39;ll work directly with our operations teams to design, implement, and scale the systems that enable us to serve millions of developers. You’ll work on everything from ticket routing optimisation to analytics dashboards to AI agents that automate workflows end-to-end.</p>\n<p>This is an internal-facing role with exponential impact on our users. You&#39;ll be building the infrastructure that makes every person on the User Ops team faster, smarter, more empathetic, and more effective. 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If so, please include their email here</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_65d17f63-93d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cursor","sameAs":"https://cursor.com","logo":"https://logos.yubhub.co/cursor.com.png"},"x-apply-url":"https://cursor.com/careers/software-engineer-user-operations","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["full-stack engineering","data pipelines","ETL processes","analytics tooling","Cursor","AI-assisted development workflows","third-party platforms"],"x-skills-preferred":["internal tools","developer platforms","operations infrastructure"],"datePosted":"2026-03-08T00:19:08.445Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack engineering, data pipelines, ETL processes, analytics tooling, Cursor, AI-assisted development workflows, third-party platforms, internal tools, developer platforms, operations infrastructure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2071bb9c-a0f"},"title":"Software Engineer, Enterprise","description":"<p>We&#39;re looking for a Product Engineer to join as an early member of our new Enterprise team. The consumer story has demonstrated Replit&#39;s magic and now we are seeing use cases emerge in the B2B space that are ripe for innovation and growth. It is a critical area for our success this year and beyond.</p>\n<p>You can be part of the journey to build and scale features that help teams and organizations of any size be more productive with Replit. This is an opportunity to make meaningful impact and shape the culture and processes from the ground up. Working closely with cross-functional teams including product managers, designers, and AI engineers, you&#39;ll craft solutions that enable our customers to build, deploy, and share their applications seamlessly. 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This includes enterprise-readiness features like authentication, permissions, security, and compliance, as well as tools that improve team collaboration and drive adoption within an organization</li>\n<li>Work directly with customers to understand their needs and iterate on solutions</li>\n<li>Contribute to technical decisions and architecture for the Enterprise platform</li>\n<li>Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences</li>\n<li>Mentor other engineers and raise the bar for engineering excellence</li>\n<li>Ship quickly and iterate based on customer feedback and usage data</li>\n</ul>\n<p><strong>Required skills and experience:</strong></p>\n<ul>\n<li>Strong full stack engineering skills with experience shipping production code</li>\n<li>Experience building B2B or enterprise software products</li>\n<li>Comfort working across the stack - from databases and APIs to frontend frameworks</li>\n<li>Strong product sense and ability to translate customer needs into technical solutions</li>\n<li>Experience with modern web technologies (React, Node.js, TypeScript, or similar)</li>\n<li>Track record of shipping high-impact features and taking ownership of projects</li>\n<li>Excellent communication skills and ability to collaborate with cross-functional teams</li>\n<li>Curiosity and willingness to learn new technologies and domains</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience with enterprise authentication and authorization systems (SSO, SAML, SCIM)</li>\n<li>Experience with AI/LLM integration in applications</li>\n<li>Understanding of developer tools, internal tools, and workflows</li>\n<li>Previous experience in a high-growth startup environment</li>\n<li>Contributions to open-source projects</li>\n</ul>\n<p><strong>Tools + Tech Stack for this role:</strong></p>\n<ul>\n<li>React, TypeScript, CSS, GraphQL, Node.js, and Postgres</li>\n</ul>\n<p><strong>This role may not be a fit if:</strong></p>\n<ul>\n<li>You prefer working exclusively on backend systems without user interaction</li>\n<li>You&#39;re uncomfortable with the pace and changing priorities of a startup environment</li>\n<li>You require highly structured requirements and aren&#39;t comfortable with ambiguity</li>\n</ul>\n<p>_This is a full-time role that is held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._</p>\n<p><strong>Full-Time Employee Benefits Include:</strong></p>\n<ul>\n<li>Competitive Salary &amp; Equity</li>\n<li>401(k) Program with a 4% match</li>\n<li>Health, Dental, Vision and Life Insurance</li>\n<li>Short Term and Long Term Disability</li>\n<li>Paid Parental, Medical, Caregiver Leave</li>\n<li>Commuter Benefits</li>\n<li>Monthly Wellness Stipend</li>\n<li>Autonomous Work Environment</li>\n<li>In Office Set-Up Reimbursement</li>\n<li>Flexible Time Off (FTO) + Holidays</li>\n<li>Quarterly Team Gatherings</li>\n<li>In Office Amenities</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_2071bb9c-a0f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/b7f12834-78d2-424d-bf83-0c942815fbf7","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$180K - $250K","x-skills-required":["strong full stack engineering skills","experience building B2B or enterprise software products","comfort working across the stack","strong product sense","experience with modern web technologies"],"x-skills-preferred":["experience with enterprise authentication and authorization systems","experience with AI/LLM integration in applications","understanding of developer tools, internal tools, and workflows"],"datePosted":"2026-03-07T15:18:48.150Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"strong full stack engineering skills, experience building B2B or enterprise software products, comfort working across the stack, strong product sense, experience with modern web technologies, experience with enterprise authentication and authorization systems, experience with AI/LLM integration in applications, understanding of developer tools, internal tools, and workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_68486ad5-1b7"},"title":"Full-Stack Engineer, Consumer Devices","description":"<p><strong>Full-Stack Engineer, Consumer Devices</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Consumer Products</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $325K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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Our internal tools power teams across hardware, operations, design, research, and software, enabling the organization to move quickly and operate at scale. We focus on usability, reliability, and security while supporting rapid iteration and experimentation.</p>\n<p><strong>About the Role</strong></p>\n<p>As a <strong>Full-Stack Engineer</strong>, you will design and build end-to-end web systems that serve both customers and internal teams. You’ll own the design and implementation of full-stack solutions—from early prototypes to production-ready systems—making thoughtful trade-offs around usability, security, and long-term maintainability.</p>\n<p>We’re looking for pragmatic builders with strong product instincts who move fast without compromising quality or security. You’ll work closely with designers, engineers, and cross-functional partners to identify pain points, prototype solutions, and take them from zero-to-one into reliable systems.</p>\n<p>This role is based in <strong>San Francisco, CA</strong>. We use a <strong>hybrid work model</strong> of four days in the office per week and offer <strong>relocation assistance</strong> to new employees.</p>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>Design, build, and maintain web applications for external customers.</li>\n<li>Design, build, and maintain internal tools used across hardware, research, design, operations, and software teams.</li>\n<li>Rapidly prototype and iterate on new tools in close collaboration with stakeholders.</li>\n<li>Architect and deliver full-stack solutions with a strong emphasis on usability and security.</li>\n<li>Evaluate third-party and open-source solutions and make sound build vs. buy decisions.</li>\n<li>Establish best practices for internal tooling, including code quality, reliability, and security.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 7+ years of professional software engineering experience, with a focus on full-stack web development.</li>\n<li>Are proficient in rapidly building user-facing products and internal applications.</li>\n<li>Have experience working from zero-to-one on early-stage products and iterating quickly based on feedback.</li>\n<li>Bring a strong understanding of security principles and best practices for protecting sensitive data.</li>\n<li>Are familiar with a broad range of modern front-end and back-end frameworks and tools.</li>\n</ul>\n<p>_(Nice to have)_ Have experience building internal tools for multidisciplinary teams (hardware, research, operations).</p>\n<p>_(Nice to have)_ Have a track record of effectively selecting and integrating third-party or open-source solutions.</p>\n<p>_(Nice to have)_ Have strong design instincts and experience collaborating closely with designers.</p>\n<p>_(Nice to have)_ Are familiar with infrastructure and deployment for internal systems (e.g., containerization, CI/CD).</p>\n<p>_(Nice to have)_ Have experience balancing speed with security and reliability in production environments.</p>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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Your work will directly shape how users and administrators understand and manage access across OpenAI’s products, helping unlock secure, large-scale enterprise adoption of AI.</p>\n<p>This role is based in San Francisco, California. There may be relocation options available.</p>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>Build scalable, reusable frontend components and patterns for core identity experiences, including sign-in flows, account management, permissions, and admin surfaces.</li>\n</ul>\n<ul>\n<li>Partner closely with backend and security engineers to deliver end-to-end identity capabilities such as SSO, RBAC, SCIM provisioning, and delegated access through clear, intuitive interfaces.</li>\n</ul>\n<ul>\n<li>Translate complex authentication and authorization systems (e.g., SAML, OIDC, OAuth) into user experiences that are understandable, reliable, and trustworthy for both admins and end users.</li>\n</ul>\n<ul>\n<li>Help define frontend architecture, standards, and patterns for a shared identity platform used across OpenAI’s products.</li>\n</ul>\n<ul>\n<li>Build internal tools and surfaces that enable teams across OpenAI to integrate, manage, and reason about identity and access control effectively.</li>\n</ul>\n<ul>\n<li>Collaborate with Product, Design, Security, and Go-To-Market partners to turn ambiguous enterprise requirements into high-quality, user-centered interfaces.</li>\n</ul>\n<p><strong>You might thrive here if you:</strong></p>\n<ul>\n<li>Have at least 5+ years of frontend engineering experience building and maintaining production-grade web applications, with a focus on usability, scalability, and long-term maintainability.</li>\n</ul>\n<ul>\n<li>Bring deep frontend expertise and genuine enthusiasm for frontend frameworks, performance optimization, latency, and building reusable, composable UI systems.</li>\n</ul>\n<ul>\n<li>Are excited to take ownership of critical access flows, helping scale and improve sign-in, permissions, and account experiences across OpenAI’s products.</li>\n</ul>\n<ul>\n<li>Enjoy working closely with cross-functional partners — including product, design, security, and go-to-market teams — to shape thoughtful, 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