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We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.</p>\n<p>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. 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This includes critical functionalities such as payroll setup, preparation, and submission, historical reporting, time tracking, and shift scheduling.</p>\n<p>As a key member of this team, you’ll have the opportunity to make a profound impact on both the product and the customers who depend on it daily.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<ul>\n<li>Architect, build, and maintain scalable, secure, and resilient backend systems to support Gusto’s Payroll products.</li>\n</ul>\n<ul>\n<li>Function as a Technical Lead across multiple teams in Pay Group, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals.</li>\n</ul>\n<ul>\n<li>Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world.</li>\n</ul>\n<ul>\n<li>Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams.</li>\n</ul>\n<ul>\n<li>Mentor and grow fellow engineers working to create holistic and scalable solutions.</li>\n</ul>\n<ul>\n<li>Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy.</li>\n</ul>\n<ul>\n<li>Engage in a highly supportive environment working with others to drive productivity and innovation.</li>\n</ul>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>15+ years of professional software development experience.</li>\n</ul>\n<ul>\n<li>Experience as a tech lead, overseeing and successfully delivering projects that span multiple teams.</li>\n</ul>\n<ul>\n<li>Enthusiasm for a collaborative, test-driven development environment.</li>\n</ul>\n<ul>\n<li>Proven experience building and maintaining resilient backend systems that support customer-facing products, including optimizing existing systems for performance, reliability, and scalability.</li>\n</ul>\n<ul>\n<li>Ability to produce maintainable, structured, and well-documented code.</li>\n</ul>\n<ul>\n<li>Expertise in developing and maintaining RESTful APIs, GraphQL endpoints, and backend services, ensuring seamless integration with frontend systems and third-party services.</li>\n</ul>\n<ul>\n<li>Demonstrated ability in scaling engineering organizations, with a strong focus on individual and team development and mentorship.</li>\n</ul>\n<ul>\n<li>Experience in highly cross-functional environments working on highly complex products.</li>\n</ul>\n<ul>\n<li>Ability to clearly communicate technical complexity and facilitate informed trade-offs among stakeholders.</li>\n</ul>\n<ul>\n<li>Experience using AI tools to build, test, and iterate on products quickly.</li>\n</ul>\n<ul>\n<li>Understanding of how to evaluate AI-driven outputs using clear success criteria.</li>\n</ul>\n<ul>\n<li>A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.</li>\n</ul>\n<ul>\n<li>Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.</li>\n</ul>\n<p>Our cash compensation amount for this role is targeted at $251,000-$309,000 /yr for New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.</p>\n<p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto&#39;s subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.</p>\n<p>Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.</p>\n<p>Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.</p>\n<p>Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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Our team works in person 5 days a week at our offices in NYC and SF.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Embed with strategic accounts to deeply understand their domain, data, and workflows</li>\n<li>Build custom integrations, workflow automations, and domain-specific solutions on top of Hebbia&#39;s platform</li>\n<li>Write production code that deploys through our CI/CD pipelines and meets our engineering standards</li>\n<li>Own the technical relationship with the customer&#39;s team during your engagement</li>\n<li>Prototype fast, validate with the customer, iterate, and ship</li>\n<li>Return from engagements and work with engineering and product to generalize reusable patterns into platform capabilities</li>\n<li>Participate in code review, on-call rotation, and architecture discussions alongside core engineering</li>\n<li>Build connectors to customer data sources and document management systems</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>5+ years software development experience at a venture-backed startup or top technology firm</li>\n<li>Strong full-stack engineering skills. 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You can talk to both engineers and executives.</li>\n<li>Experience with cloud platforms (e.g., AWS) and modern backend technologies (Python, TypeScript, Go)</li>\n<li>Experience with data integrations, ETL pipelines, or enterprise data systems (S3, Snowflake, SharePoint, etc.) is a plus</li>\n<li>Experience with LLMs, RAG systems, or applied AI is a plus but not required</li>\n<li>Prior experience in finance, legal, or consulting domains is a plus</li>\n<li>Experience with customer-facing engineering roles (solutions engineering, professional services, or similar) is a plus</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_7619176a-424","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Hebbia","sameAs":"https://hebbia.com","logo":"https://logos.yubhub.co/hebbia.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/hebbia/jobs/4679338005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000 to $300,000","x-skills-required":["Full-stack engineering","Cloud platforms (e.g., AWS)","Modern backend technologies (Python, TypeScript, Go)","Data integrations, ETL pipelines, or enterprise data systems (S3, Snowflake, SharePoint, etc.)","Customer-facing engineering roles (solutions engineering, professional services, or similar)"],"x-skills-preferred":["LLMs, RAG systems, or applied AI","Finance, legal, or consulting domains"],"datePosted":"2026-04-17T12:37:49.316Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Full-stack engineering, Cloud platforms (e.g., AWS), Modern backend technologies (Python, TypeScript, Go), Data integrations, ETL pipelines, or enterprise data systems (S3, Snowflake, SharePoint, etc.), Customer-facing engineering roles (solutions engineering, professional services, or similar), LLMs, RAG systems, or applied AI, Finance, legal, or consulting domains","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_beb8b291-a2a"},"title":"Member of Technical Staff, Atlas (Front-End Engineer)","description":"<p>At Anchorage Digital, we are building the world&#39;s most advanced digital asset platform for institutions to participate in crypto. The Atlas team&#39;s mission is to empower institutions to settle digital assets safely and at scale, improving digital asset liquidity while reducing counterparty risk.</p>\n<p>You will work with the Engineering Manager, Product Manager, and the engineering team to plan, build, release, and maintain high-quality front-end experiences for the Atlas business. You will be a key driver of front-end architecture, technical direction, and engineering best practices.</p>\n<p>As a team, we are constantly striving to innovate in order to build the future of cryptocurrency and the digital asset ecosystem. We think about growth and career development differently at Anchorage Digital. 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ability to settle digital assets safely at scale</li>\n<li>Find the right balance between progress (shipping quickly) and perfection (measuring twice)</li>\n<li>Drive technical decisions that shape the Atlas front-end architecture</li>\n</ul>\n<p><strong>Organizational Knowledge:</strong></p>\n<ul>\n<li>Work across Atlas and adjacent product lines, understanding how front-end systems integrate with backend services and the broader Anchorage platform</li>\n<li>Collaborate cross-functionally with Product, Design, and Backend engineers</li>\n<li>Ensure knowledge is shared amongst the team and no one is positioned as a single point of failure</li>\n<li>Help scale the team through hiring, mentoring, and establishing best practices</li>\n</ul>\n<p><strong>Communication and Influence:</strong></p>\n<ul>\n<li>Mentor and guide other engineers on the team within front-end specialization, helping them understand strategic goals and how their work contributes</li>\n<li>Work closely with Backend engineers to propose and review GraphQL API changes</li>\n<li>Collaborate with Product managers and designers to brainstorm and align on new features</li>\n<li>Influence architecture and product roadmap,have a seat at the table</li>\n<li>Use compelling arguments to convey insights and recommendations on technical direction</li>\n</ul>\n<p><strong>You may be a fit for this role if you have:</strong></p>\n<ul>\n<li>8+ years of professional experience building web applications and UIs, with deep expertise in React.js and TypeScript</li>\n<li>Experience mentoring other engineers and driving technical standards across a team or organization</li>\n<li>Genuine care about code quality, test infrastructure, and developer experience</li>\n<li>Experience performing on-call support for production systems</li>\n<li>Prioritization of end-user experience and business value over &#39;cool tech&#39;</li>\n<li>Development of &#39;computer science fundamentals&#39;,i.e., concurrency, algorithms, and data structures (formal CS degree NOT required)</li>\n</ul>\n<p><strong>Although not a requirement, bonus points if:</strong></p>\n<ul>\n<li>Production experience with web security (e.g., authentication, authorization, identity, API keys)</li>\n<li>Experience with system design for front-end applications at scale</li>\n<li>Building a Chrome extension or other browser-based tooling</li>\n<li>Professional experience with backend technologies (Go, C++, or similar)</li>\n<li>Reading blockchain protocol white papers for fun and staying up to date with the proliferation of cryptoasset innovations</li>\n<li>Background in the finance or cryptocurrency industries</li>\n<li>Emotional connection to the soundtrack to Hamilton, which chronicles the founding of a new financial system.</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_beb8b291-a2a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anchorage Digital","sameAs":"https://anchorage.com","logo":"https://logos.yubhub.co/anchorage.com.png"},"x-apply-url":"https://jobs.lever.co/anchorage/7bc45597-8b61-4f36-be77-6d09e99bec25","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["React.js","TypeScript","Front-end engineering","GraphQL API","Web security","System design","Chrome extension","Backend technologies","Blockchain protocol white papers"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:25:17.285Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"React.js, TypeScript, Front-end engineering, GraphQL API, Web security, System design, Chrome extension, Backend technologies, Blockchain protocol white papers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_68bc3c51-207"},"title":"Software Engineer, Android","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the role:</strong></p>\n<p>We&#39;re looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users&#39; fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. 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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. 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><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. Guidance on Candidates&#39; AI Usage: Learn about our policy for using AI in our application process</p>\n<p>Interested in building the future of AI? 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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>We&#39;re looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users&#39; fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Architect and implement cutting-edge iOS applications</li>\n<li>Develop novel solutions leveraging AI technologies</li>\n<li>Optimise performance at all levels of the mobile stack</li>\n<li>Champion best practices in mobile development</li>\n<li>Obsessive attention to detail and app experience</li>\n<li>Contribute to backend systems as needed</li>\n</ul>\n<p><strong>You might be a good fit if you have:</strong></p>\n<ul>\n<li>7+ years of iOS development experience and proficiency with latest mobile platform capabilities/intricacies, including</li>\n</ul>\n<ul>\n<li>Expertise in Swift, UIKit, SwiftUI, and iOS frameworks</li>\n</ul>\n<ul>\n<li>Practical experience with full-stack development and comfort working with backend technologies</li>\n</ul>\n<ul>\n<li>0 to 1 experience building successful products in early stage environments</li>\n</ul>\n<ul>\n<li>A proven track record of shipping impactful, high-adoption mobile applications</li>\n</ul>\n<ul>\n<li>Experience building applications that utilise modern ML/AI technology</li>\n</ul>\n<ul>\n<li>Excellent communication and mentorship skills</li>\n</ul>\n<ul>\n<li>Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates</li>\n</ul>\n<p><strong>Strong candidates may have:</strong></p>\n<ul>\n<li>3D graphics, visual effects, and audio and video streaming on mobile</li>\n</ul>\n<ul>\n<li>A vision for the future of human-machine interaction and a drive to make that vision a reality</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong></p>\n<p>We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong></p>\n<p>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></p>\n<p>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.</strong></p>\n<p>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><strong>Your safety matters to us.</strong></p>\n<p>To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong> Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide real-time insights, resource tracking, and seamless interaction with complex infrastructure. We aim to optimize resource allocation, minimize operational overhead, and create user-friendly tools that enhance researcher productivity and system transparency.</p>\n<p><strong>About the Role</strong> You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance.</p>\n<p>This role is based in <strong>San Francisco, CA.</strong> We use a hybrid work model of <strong>3 days in the office per week</strong> and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time.</li>\n</ul>\n<ul>\n<li>Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends.</li>\n</ul>\n<ul>\n<li>Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation.</li>\n</ul>\n<ul>\n<li>Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability.</li>\n</ul>\n<ul>\n<li>Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems.</li>\n</ul>\n<ul>\n<li>Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Significant experience in full-stack development, with expertise in modern frontend frameworks (React, Vue, or Angular) and backend technologies (Python, Go, or Node.js).</li>\n</ul>\n<ul>\n<li>Experienced in building scalable, high-performance web applications for complex distributed systems.</li>\n</ul>\n<ul>\n<li>Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure).</li>\n</ul>\n<ul>\n<li>Execution-focused with a keen eye for usability, performance, and scalability in enterprise-scale systems.</li>\n</ul>\n<ul>\n<li>Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.</li>\n</ul>\n<p><strong>Bonus points if you:</strong></p>\n<ul>\n<li>Have experience working with Kubernetes, Docker, and cloud-native application deployment.</li>\n</ul>\n<ul>\n<li>Understand AI/ML workload scheduling and orchestration challenges.</li>\n</ul>\n<ul>\n<li>Have experience with real-time data processing, visualization libraries, and observability tooling.</li>\n</ul>\n<p><strong>About OpenAI</strong> OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1d808aa6-75a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/9d11e1d8-af1d-413b-873f-d8fac2bdee99","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $490K • Offers Equity","x-skills-required":["full-stack development","modern frontend frameworks","backend technologies","RESTful and GraphQL APIs","distributed databases","cloud infrastructure","Kubernetes","Docker","cloud-native application deployment","AI/ML workload scheduling","orchestration challenges","real-time data processing","visualization libraries","observability tooling"],"x-skills-preferred":["React","Vue","Angular","Python","Go","Node.js","Azure","Gantt charts","dashboards"],"datePosted":"2026-03-06T18:40:33.689Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack development, modern frontend frameworks, backend technologies, RESTful and GraphQL APIs, distributed databases, cloud infrastructure, Kubernetes, Docker, cloud-native application deployment, AI/ML workload scheduling, orchestration challenges, real-time data processing, visualization libraries, observability tooling, React, Vue, Angular, Python, Go, Node.js, Azure, Gantt charts, dashboards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":490000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8a823cc4-381"},"title":"Full-Stack SWE, Data Acquisition (Foundations)","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Full-Stack SWE, Data Acquisition (Foundations)</strong></p>\n<p><strong>Overview:</strong></p>\n<p>The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards.</li>\n<li>Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management.</li>\n<li>Design and implement APIs to facilitate data interactions between internal services and external data sources.</li>\n<li>Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines.</li>\n<li>Optimize backend services for performance, scalability, and security in a distributed computing environment.</li>\n<li>Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices.</li>\n<li>Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies.</li>\n<li>Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency.</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>BS/MS/PhD in Computer Science or a related field.</li>\n<li>4+ years of industry experience in full-stack development.</li>\n<li>Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go.</li>\n<li>Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL).</li>\n<li>Experience building data-intensive applications that handle large-scale datasets.</li>\n<li>Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).</li>\n<li>Prior experience with web crawling and large-scale data processing is a plus.</li>\n<li>Strong problem-solving skills and ability to balance multiple tasks in a fast-moving environment.</li>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $385K • 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. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Experience Level</strong></p>\n<p>Mid</p>\n<p><strong>Workplace Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Category</strong></p>\n<p>Engineering</p>\n<p><strong>Industry</strong></p>\n<p>Technology</p>\n<p><strong>Salary Range</strong></p>\n<p>$293K – $385K • Offers Equity</p>\n<p><strong>Required Skills</strong></p>\n<ul>\n<li>Full-stack development</li>\n<li>Frontend frameworks (React, Vue, or similar)</li>\n<li>Backend technologies (Python, Node.js, or Go)</li>\n<li>RESTful APIs</li>\n<li>GraphQL</li>\n<li>Database design (SQL and NoSQL)</li>\n<li>Cloud platforms (AWS, GCP, or Azure)</li>\n<li>Container orchestration (Kubernetes, Docker)</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Web crawling</li>\n<li>Large-scale data processing</li>\n<li>Problem-solving skills</li>\n<li>Communication and collaboration skills</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_8a823cc4-381","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/a886ff48-b8a1-4e28-b468-296713a5ad78","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$293K – $385K • Offers Equity","x-skills-required":["Full-stack development","Frontend frameworks (React, Vue, or similar)","Backend technologies (Python, Node.js, or Go)","RESTful APIs","GraphQL","Database design (SQL and NoSQL)","Cloud platforms (AWS, GCP, or Azure)","Container orchestration (Kubernetes, Docker)"],"x-skills-preferred":["Web crawling","Large-scale data processing","Problem-solving skills","Communication and collaboration skills"],"datePosted":"2026-03-06T18:39:01.903Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Full-stack development, Frontend frameworks (React, Vue, or similar), Backend technologies (Python, Node.js, or Go), RESTful APIs, GraphQL, Database design (SQL and NoSQL), Cloud platforms (AWS, GCP, or Azure), Container orchestration (Kubernetes, Docker), Web crawling, Large-scale data processing, Problem-solving skills, Communication and collaboration skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_deca2d46-8fe"},"title":"Software Engineer, Full Stack, Revenue Platform","description":"<p><strong>Software Engineer, Full Stack, Revenue Platform</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>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • 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. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>Revenue Platform sits at the intersection of customer experience, financial precision, and enterprise-grade reliability. We build both end-user experiences and the underlying platform capabilities that power invoicing, billing, payments, and revenue recognition across OpenAI. Our work spans high-leverage customer surfaces and deep, reusable platform primitives used by multiple teams. These are foundational systems that will support OpenAI’s growth for years to come, and we’re looking for engineers who care deeply about craftsmanship, correctness, and building platforms and experiences that scale gracefully and are a joy to build on.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Full Stack Engineer on the Revenue Platform team, you will design, build, and operate platform services and user-facing interfaces that form the backbone of OpenAI’s commercial engine. You’ll collaborate with product, design, finance, and engineering partners to deliver intuitive customer experiences while also creating shared foundations that other teams can safely and efficiently build on. Your work will directly shape the reliability, scalability, and trustworthiness of OpenAI’s most critical financial workflows.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and evolve shared full-stack platform components including APIs, data models, services, and UI primitives that power billing, subscriptions, usage-based pricing, and enterprise entitlements across OpenAI.</li>\n</ul>\n<ul>\n<li>Design scalable, reusable revenue workflows and abstractions that other product teams can compose to launch new offerings without reinventing core billing logic.</li>\n</ul>\n<ul>\n<li>Partner closely with product, frontend, and backend engineers to deliver end-to-end revenue capabilities, ensuring platform components are intuitive to adopt and safe to extend.</li>\n</ul>\n<ul>\n<li>Develop internal platforms and tools used by Finance, Accounting, Sales, Support, and Go-To-Market teams to manage, audit, and reason about revenue data efficiently.</li>\n</ul>\n<ul>\n<li>Build automation and AI-powered capabilities within the Revenue Platform to reduce manual work, surface insights, and improve operational decision-making.</li>\n</ul>\n<ul>\n<li>Help define the architecture, standards, and contracts for a shared revenue platform, balancing flexibility for product teams with correctness, reliability, and compliance.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally to translate ambiguous commercial, financial, and operational requirements into durable platform primitives that scale with OpenAI’s products and customer base.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience building full-stack web applications with strong fundamentals across frontend, backend, and API design.</li>\n</ul>\n<ul>\n<li>Proficiency with modern frontend frameworks (e.g., React, TypeScript) and backend technologies (Python preferred; Node, Go, or similar also welcome).</li>\n</ul>\n<ul>\n<li>Experience designing and implementing scalable, reusable platform components and revenue workflows.</li>\n</ul>\n<ul>\n<li>Strong understanding of financial and commercial concepts, including billing, subscriptions, and revenue recognition.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills, with the ability to analyze complex technical and business problems and develop effective solutions.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with cloud-based platforms (e.g., AWS, GCP) and containerization (e.g., Docker).</li>\n</ul>\n<ul>\n<li>Familiarity with DevOps practices and tools (e.g., CI/CD pipelines, monitoring, logging).</li>\n</ul>\n<ul>\n<li>Experience with data modeling and database design.</li>\n</ul>\n<ul>\n<li>Knowledge of machine learning and AI concepts, including natural language processing and computer vision.</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n</ul>\n<ul>\n<li>Opportunity to work with a talented and diverse team of engineers and product managers.</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic work environment.</li>\n</ul>\n<ul>\n<li>Professional development opportunities, including training and mentorship.</li>\n</ul>\n<ul>\n<li>Flexible work arrangements, including remote work options.</li>\n</ul>\n<ul>\n<li>Access to cutting-edge technology and tools.</li>\n</ul>\n<ul>\n<li>Recognition and rewards for outstanding performance.</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and talented engineer who is passionate about building scalable and reliable platform components, we encourage you to apply for this role. Please submit your resume and a cover letter that outlines your experience and qualifications for the position. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_deca2d46-8fe","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/8427b270-8440-400c-bc18-ff24c4f0f987","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["full-stack web applications","frontend frameworks","backend technologies","API design","scalable platform components","revenue workflows","financial and commercial concepts","billing","subscriptions","revenue recognition"],"x-skills-preferred":["cloud-based platforms","containerization","DevOps practices","data modeling","database design","machine learning","AI concepts"],"datePosted":"2026-03-06T18:24:15.165Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack web applications, frontend frameworks, backend technologies, API design, scalable platform components, revenue workflows, financial and commercial concepts, billing, subscriptions, revenue recognition, cloud-based platforms, containerization, DevOps practices, data modeling, database design, machine learning, AI concepts","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bf0bfb89-ada"},"title":"Software Engineer, Backend (Knowledge Innovation)","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Software Engineer, Backend (Knowledge Innovation)</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco; Seattle</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • 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. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong> The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We&#39;re constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains.</p>\n<p>The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale.</p>\n<p><strong>About the Role</strong> We’re looking for a <strong>Backend Software Engineer</strong> to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems</li>\n</ul>\n<ul>\n<li>Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.</li>\n</ul>\n<ul>\n<li>Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflows</li>\n</ul>\n<ul>\n<li>Own the full development lifecycle of new backend systems and internal platform capabilities</li>\n</ul>\n<ul>\n<li>Build with scale and maintainability in mind, while rapidly iterating on new ideas</li>\n</ul>\n<p><strong>You might be a great fit if you have:</strong></p>\n<ul>\n<li>4+ years of backend engineering experience at product-driven companies (excluding internships)</li>\n</ul>\n<ul>\n<li>Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres</li>\n</ul>\n<ul>\n<li>Experience designing and scaling distributed systems, APIs, or data processing pipelines</li>\n</ul>\n<ul>\n<li>A pragmatic mindset. 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