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Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.</p>\n<p><strong>About the team</strong></p>\n<p>The Big Data Infrastructure organization is a globally distributed team of approximately 40 engineers spread across Dublin, Bangalore, Seattle, and San Francisco. This team is the backbone of the company’s data ecosystem, responsible for building, scaling, and maintaining the highly reliable platforms that power data storage, orchestration, and processing at scale.</p>\n<p>As the Head of Big Data Infra, you will lead a global, ~40-person engineering organization responsible for the foundational data platforms that drive the business. 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You will be expected to see problems others don&#39;t and rally people to independently create solutions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set Strategic Vision: Define the scope, vision, and goals for your organization with little or no guidance. You will anticipate industry trends to influence Stripe&#39;s long-range plans and set direction on a multi-year timeframe.</li>\n</ul>\n<ul>\n<li>Lead at Scale: Manage the achievement of and accountability for broad swaths of programs. You will establish wide-ranging and scaled processes, anticipating and removing roadblocks across multiple teams.</li>\n</ul>\n<ul>\n<li>Drive Operational Excellence: Instill a culture of rigorous thinking and meticulous craftsmanship. 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We are always looking for people who will bring something new to the table!</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_2a2686d2-290","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7551660","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$155,520 - $194,400 (Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.)\n$164,640 - $205,800 (New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area))\n$182,960 - $228,700 (San Francisco Bay area, California)","x-skills-required":["AWS Glue","Presto","LookML","SQL","data modeling","data pipelines","data reconciliation","data quality checks"],"x-skills-preferred":["Python","distributed computing technologies","Hive","Spark","dashboarding tools","Looker","Tableau"],"datePosted":"2026-04-18T15:43:20.940Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AWS Glue, Presto, LookML, SQL, data modeling, data pipelines, data reconciliation, data quality checks, Python, distributed computing technologies, Hive, Spark, dashboarding tools, Looker, Tableau","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":155520,"maxValue":228700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_42cf4963-ec6"},"title":"Software Engineer - Hivemind Enterprise Autonomy","description":"<p>Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit.</p>\n<p>Develop AI &amp; 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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>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. 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Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p><strong>WHY DATA SCIENCE &amp; ANALYTICS?</strong></p>\n<p>The Data Science &amp; Analytics organization&#39;s mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.</p>\n<p><strong>WHY GENERATIVE AI?</strong></p>\n<p>Our team’s mission is to enable Roblox Creators to bring GenAI capabilities to millions of users. We drive this innovation with a core commitment to safety, responsibility, and quality.</p>\n<p>As a Data Scientist, you will play a critical role in evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D). You will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements.</p>\n<p><strong>You Will:</strong></p>\n<ul>\n<li>Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods.</li>\n</ul>\n<ul>\n<li>Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features. 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You will innovate on methodology and techniques to solve unique business challenges while contributing to the broader field in the technical community.</li>\n</ul>\n<p><strong>You Have:</strong></p>\n<ul>\n<li>Possess or pursuing a PhD or equivalent in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field.</li>\n</ul>\n<ul>\n<li>Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling.</li>\n</ul>\n<ul>\n<li>Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact.</li>\n</ul>\n<ul>\n<li>Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact.</li>\n</ul>\n<ul>\n<li>Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field.</li>\n</ul>\n<ul>\n<li>GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. 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You will report to a Director of Data Science within EA&#39;s central Data and Insights (D&amp;I) organization. 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You will also assist in creating presentations and answering customer and press inquiries.</p>\n<ul>\n<li>Support the planning, organization, and development of our archive collections</li>\n<li>Assist in creating presentations</li>\n<li>Answer customer and press inquiries</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in History, Technical History, or Media Studies</li>\n<li>Proficiency in MS Office, databases, and archive-IT</li>\n<li>Good English language skills</li>\n</ul>\n<p><strong>Why this matters</strong></p>\n<p>As a member of our team, you will have the opportunity to gain valuable experience in the field of archives and collections management. You will work with a team of experienced professionals who are passionate about preserving and promoting the history of Porsche.</p>\n<p><strong>Why this matters</strong></p>\n<p>This role is an excellent opportunity for students or recent graduates who are interested in pursuing a career in archives and collections management. You will have the chance to develop your skills and knowledge in a dynamic and supportive environment.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d013cc54-94f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. 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