{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/psychology"},"x-facet":{"type":"skill","slug":"psychology","display":"Psychology","count":27},"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_b24615ff-3fb"},"title":"Werkstudent*in im Bereich Corporate Functions","description":"<p>Are you looking for a work-study position and want to apply your theoretical knowledge from lectures in practice? 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This makes us the perfect sparring partner for your studies. Both for professional input and networking. We offer you:</p>\n<ul>\n<li>Appreciation. We support and appreciate colleagues as they are and celebrate our successes together.</li>\n<li>We always welcome creativity and new impulses.</li>\n<li>Flexibility. 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You should be a self-starter who doesn&#39;t need direct supervision to motivate you for success. You should be ready to make your mark in a smaller, growing brand leveraging your experience to deliver amazing results and build an outstanding company. You should have an entrepreneurial spirit in that you&#39;re comfortable with ambiguity and are energized by the process of building something lasting from the ground up. 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The candidate should have relevant prior industry experience, a strong general understanding of core psychological principles and the ability to leverage internal and external expertise and research experience in AI-related areas (e.g., cognitive, behavioural).</p>\n<p><strong>Responsibilities</strong></p>\n<p>As a Senior Psychologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google DeepMind&#39;s values. You will use your intellectual agility and deep expertise in psychology to proactively identify and address potential ethical and well-being implications of our AI technologies. You will be engaging with senior stakeholders to champion our efforts. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>General AI Psychology Guidelines: Develop practical guidelines and frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental) and empirical data to ensure that AI models interact in ways that promote positive outcomes and mitigate potential psychological harms.</li>\n<li>Support Implementation: Convert these frameworks into artefacts that include training datasets and evaluation protocol.</li>\n</ul>\n<p>Collaborate with model development teams to advise on and facilitate the creation and implementation of evaluation frameworks, defining key metrics, tracking protocols, and criteria for significant results.</p>\n<ul>\n<li>Emerging Trends: Stay informed about the latest research and emerging trends in psychology, and the evolving landscape of AI and its potential impact on users.</li>\n<li>Risk Identification and Analysis: Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and users, drawing upon your expertise psychology, and related fields.</li>\n<li>Interdisciplinary Collaboration: Work closely with AI researchers, engineers, product managers, across Google DeepMind to integrate psychological insights into the AI development lifecycle.</li>\n<li>Literature Review and Expert Consultation: Conduct thorough reviews of relevant academic literature in psychology, education and technology, human-computer interaction, and AI ethics.</li>\n</ul>\n<p>Engage with internal and external experts to gather diverse perspectives and inform guideline development.</p>\n<p><strong>Requirements</strong></p>\n<p>In order to set you up for success as a Senior Psychologist for Model Policy Research at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>A PhD in Psychology (Clinical, Developmental, Social, Cognitive), Education and Technology, or related fields.</li>\n<li>Significant research experience and publications on Human-AI interaction in one or more of the following areas: affective science, cognitive science, child development, adolescent psychology, attachment theory, social-emotional learning, or other relevant areas of applied psychology.</li>\n<li>Extensive prior experience working in a leading industry position.</li>\n<li>A strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.</li>\n<li>Demonstrated ability to learn quickly and contribute effectively to new and varied subjects outside of core expertise.</li>\n<li>Excellent research, analytical, and problem-solving skills, with the ability to critically evaluate complex information.</li>\n<li>Strong written and verbal communication skills, with the ability to explain complex psychological concepts clearly and concisely to both technical and non-technical audiences.</li>\n<li>Ability to collaborate effectively within interdisciplinary teams and contribute to a fast-paced environment.</li>\n<li>A proactive and independent approach to identifying and addressing potential challenges and exploring novel research questions.</li>\n<li>Experience with ethical considerations in technology development and familiarity with AI concepts and technologies.</li>\n<li>Experience in applied research settings or translating academic knowledge into practical guidelines or applications.</li>\n<li>Experience in engaging with cross-functional teams.</li>\n<li>Technical proficiency and an in-depth understanding of the end-to-end AI development process and model lifecycles.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this full-time position is between $174,000 - 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The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent.</p>\n<p>As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire.</p>\n<p>In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience.</p>\n<p>You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes.</p>\n<p>Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox.</li>\n</ul>\n<ul>\n<li>Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance.</li>\n</ul>\n<ul>\n<li>Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions.</li>\n</ul>\n<ul>\n<li>Answer complex business questions through independent investigation and data forensics, leveraging the data warehouse to deliver timely, high-impact insights.</li>\n</ul>\n<ul>\n<li>Uphold high standards for data quality and consistency by validating data, standardizing definitions and calculations, and contributing to shared data toolkits and enablement materials.</li>\n</ul>\n<ul>\n<li>Contribute to TA reporting and dashboards by building visualizations and partnering with IT and analytics peers to enhance data models and warehouse capabilities.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>BA/BS in an analytical or quantitative field such as Industrial/Organizational Psychology, Mathematics, Statistics, Computer Science, Engineering, or a related discipline.</li>\n</ul>\n<ul>\n<li>3+ years of experience in an HR-focused, stakeholder-facing Data Analytics role, with at least 1 year of experience focusing on Recruiting/Talent Acquisition insights.</li>\n</ul>\n<ul>\n<li>Strong storytelling skills with data, including the ability to select appropriate analytical approaches and visualization techniques for different audiences and decision contexts.</li>\n</ul>\n<ul>\n<li>Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate clear, actionable recommendations.</li>\n</ul>\n<ul>\n<li>Demonstrated experience driving analytics projects end to end, from problem framing and analysis through to execution and impact.</li>\n</ul>\n<ul>\n<li>Fluency in SQL and advanced Excel; experience using statistical or analytical tools such as R or Python.</li>\n</ul>\n<ul>\n<li>Ability to think creatively and critically and thrive in a fast-paced, multifaceted, and often ambiguous environment.</li>\n</ul>\n<ul>\n<li>Collaborative, humble team player who proactively supports teammates and shared goals.</li>\n</ul>\n<ul>\n<li>Ability to treat employee experience as a product, applying product management and design thinking to understand needs, prototype solutions, and drive execution through strong project management and data-driven iteration.</li>\n</ul>\n<ul>\n<li>Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level &amp; familiarity using AI to enhance productivity are strongly preferred.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Additional technical skills (Tableau, R, Python)</li>\n</ul>\n<ul>\n<li>Strong executive presence / verbal presentation skills</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>US Zone 2</p>\n<p>$123,900-$167,700 USD</p>\n<p>US Zone 3</p>\n<p>$110,200-$149,000 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_c0f23883-52f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dropbox","sameAs":"https://www.dropbox.com/","logo":"https://logos.yubhub.co/dropbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dropbox/jobs/7536371","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$123,900-$167,700 USD","x-skills-required":["SQL","Advanced Excel","R","Python","Tableau","Data Analysis","Data Visualization","Statistics","Mathematics","Industrial/Organizational Psychology"],"x-skills-preferred":["AI","Product Management","Design Thinking","Project Management"],"datePosted":"2026-04-18T15:51:42.273Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US: Select locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Technology","skills":"SQL, Advanced Excel, R, Python, Tableau, Data Analysis, Data Visualization, Statistics, Mathematics, Industrial/Organizational Psychology, AI, Product Management, Design Thinking, Project Management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":123900,"maxValue":167700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a0355e9d-a71"},"title":"Research Lead, Training Insights","description":"<p>As a Research Lead on the Training Insights team, you&#39;ll develop the strategy for, and lead execution on, how we measure and characterise model capabilities across training and deployment. This is a hands-on leadership role: you&#39;ll drive original research into new evaluation methodologies while leading a small team of researchers and research engineers doing the same.</p>\n<p>Your work will span the full lifecycle of model development. You&#39;ll research and build new long-horizon evaluations that test the boundaries of what our models can achieve, develop novel approaches to measuring emerging capabilities, and deepen our understanding of how those capabilities develop , both during production RL training and after. You&#39;ll also take a cross-organisational view, working across Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, and other teams to map the landscape of model evaluations at Anthropic and identify critical gaps in coverage.</p>\n<p>This role carries significant visibility and impact. You&#39;ll help shape the evaluation narrative for model releases, contributing directly to how Anthropic communicates about its models to both internal and external audiences. Done well, you will change how the industry measures and understands model capabilities, significantly furthering our safety mission.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build new novel and long-horizon evaluations</li>\n<li>Develop novel measurement approaches for understanding how model capabilities emerge and evolve during RL training</li>\n<li>Lead strategic evaluation coverage across the company</li>\n<li>Shape the evaluation narrative for model releases</li>\n<li>Lead and mentor a small team of researchers and research engineers, setting research direction and fostering a culture of rigorous, creative research</li>\n<li>Design evaluation frameworks that balance scientific rigor with the practical demands of production training schedules</li>\n<li>Build and maintain relationships across Anthropic&#39;s research organisation to ensure evaluation insights inform training and deployment decisions</li>\n<li>Contribute to the broader research community through publications, open-source contributions, or external engagement on evaluation best practices</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have significant experience designing and running evaluations for large language models or similar complex ML systems</li>\n<li>Have led technical projects or teams, either formally or through sustained ownership of critical research directions</li>\n<li>Are equally comfortable designing experiments and writing code,you can move between research and implementation fluidly</li>\n<li>Think strategically about what to measure and why, not just how to measure it</li>\n<li>Can synthesise information across multiple teams and workstreams to form a coherent picture of model capabilities</li>\n<li>Communicate complex technical findings clearly to both technical and non-technical audiences</li>\n<li>Are results-oriented and thrive in fast-paced environments where priorities shift based on research findings</li>\n<li>Care deeply about AI safety and want your work to directly influence how capable AI systems are developed and deployed</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building evaluations for long-horizon or agentic tasks</li>\n<li>Deep familiarity with Reinforcement Learning training dynamics and how model behaviour changes during training</li>\n<li>Published research in machine learning evaluation, benchmarking, or related areas</li>\n<li>Experience with safety evaluation frameworks and red teaming methodologies</li>\n<li>Background in psychometrics, experimental psychology, or other measurement-focused disciplines</li>\n<li>A track record of communicating evaluation results to inform high-stakes decisions about model development or deployment</li>\n<li>Experience managing or mentoring researchers and engineers</li>\n</ul>\n<p>Representative projects:</p>\n<ul>\n<li>Designing and implementing a suite of long-horizon evaluations that test model capabilities on tasks requiring sustained reasoning, planning, and tool use over extended interactions</li>\n<li>Building systems to track capability development across RL training checkpoints, surfacing insights about when and how specific capabilities emerge</li>\n<li>Conducting a cross-org audit of evaluation coverage, identifying blind spots, and prioritising new evaluations to fill critical gaps across Pretraining, RL, Inference, and Product</li>\n<li>Developing the evaluation methodology and narrative for a major model release, working with research leads and communications to clearly characterise model capabilities and limitations</li>\n<li>Researching and prototyping novel evaluation approaches for capabilities that are difficult to measure with existing benchmarks</li>\n<li>Leading a team effort to build reusable evaluation infrastructure that serves multiple teams across the research organisation</li>\n</ul>\n<p>The annual compensation range for this role is $850,000.</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_a0355e9d-a71","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5139654008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$850,000-$850,000","x-skills-required":["AI","Machine Learning","Reinforcement Learning","Evaluation Methodologies","Research Leadership","Team Management","Communication","Results-Oriented","Fast-Paced Environments"],"x-skills-preferred":["Long-Horizon Evaluations","Agentic Tasks","Safety Evaluation Frameworks","Red Teaming Methodologies","Psychometrics","Experimental Psychology","Measurement-Focused Disciplines"],"datePosted":"2026-04-18T15:46:21.084Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel Required) | San Francisco, CA; San Francisco, CA | New York City, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Reinforcement Learning, Evaluation Methodologies, Research Leadership, Team Management, Communication, Results-Oriented, Fast-Paced Environments, Long-Horizon Evaluations, Agentic Tasks, Safety Evaluation Frameworks, Red Teaming Methodologies, Psychometrics, Experimental Psychology, Measurement-Focused Disciplines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":850000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d034fe4f-2aa"},"title":"Senior Psychologist","description":"<p><strong>Job Title</strong></p>\n<p>Senior Psychologist</p>\n<p><strong>Job Description</strong></p>\n<p>We are seeking a Senior Psychologist to join the Responsible Development &amp; Innovation team (ReDI) at Google DeepMind. The candidate should have relevant prior industry experience, a strong general understanding of core psychological principles and the ability to leverage internal and external expertise and research experience in AI-related areas (e.g., cognitive, behavioural).</p>\n<p><strong>Responsibilities</strong></p>\n<p>As a Senior Psychologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google DeepMind&#39;s values. You will use your intellectual agility and deep expertise in psychology to proactively identify and address potential ethical and well-being implications of our AI technologies. You will be engaging with senior stakeholders to champion our efforts. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>General AI Psychology Guidelines: Develop practical guidelines and frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental) and empirical data to ensure that AI models interact in ways that promote positive outcomes and mitigate potential psychological harms.</li>\n<li>Support Implementation: Convert these frameworks into artefacts that include training datasets and evaluation protocol.</li>\n</ul>\n<p>Collaborate with model development teams to advise on and facilitate the creation and implementation of evaluation frameworks, defining key metrics, tracking protocols, and criteria for significant results.</p>\n<ul>\n<li>Emerging Trends: Stay informed about the latest research and emerging trends in psychology, and the evolving landscape of AI and its potential impact on users.</li>\n<li>Risk Identification and Analysis: Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and users, drawing upon your expertise psychology, and related fields.</li>\n<li>Interdisciplinary Collaboration: Work closely with AI researchers, engineers, product managers, across Google DeepMind to integrate psychological insights into the AI development lifecycle.</li>\n<li>Literature Review and Expert Consultation: Conduct thorough reviews of relevant academic literature in psychology, education and technology, human-computer interaction, and AI ethics.</li>\n</ul>\n<p>Engage with internal and external experts to gather diverse perspectives and inform guideline development.</p>\n<p><strong>Requirements</strong></p>\n<p>In order to set you up for success as a Senior Psychologist for Model Policy Research at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>A PhD in Psychology (Clinical, Developmental, Social, Cognitive), Education and Technology, or related fields.</li>\n<li>Significant research experience and publications on Human-AI interaction in one or more of the following areas: affective science, cognitive science, child development, adolescent psychology, attachment theory, social-emotional learning, or other relevant areas of applied psychology.</li>\n<li>Extensive prior experience working in a leading industry position.</li>\n<li>A strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.</li>\n<li>Demonstrated ability to learn quickly and contribute effectively to new and varied subjects outside of core expertise.</li>\n<li>Excellent research, analytical, and problem-solving skills, with the ability to critically evaluate complex information.</li>\n<li>Strong written and verbal communication skills, with the ability to explain complex psychological concepts clearly and concisely to both technical and non-technical audiences.</li>\n<li>Ability to collaborate effectively within interdisciplinary teams and contribute to a fast-paced environment.</li>\n<li>A proactive and independent approach to identifying and addressing potential challenges and exploring novel research questions.</li>\n<li>Experience with ethical considerations in technology development and familiarity with AI concepts and technologies.</li>\n<li>Experience in applied research settings or translating academic knowledge into practical guidelines or applications.</li>\n<li>Experience in engaging with cross-functional teams.</li>\n<li>Technical proficiency and an in-depth understanding of the end-to-end AI development process and model lifecycles.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this full-time position is between $174,000 - $258,000 + bonus + equity + benefits.</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_d034fe4f-2aa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7343014","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$174,000 - $258,000 + bonus + equity + benefits","x-skills-required":["PhD in Psychology","Significant research experience","Publications on Human-AI interaction","Extensive prior experience in industry","Strong understanding of ethical principles","Excellent research, analytical, and problem-solving skills","Strong written and verbal communication skills","Ability to collaborate effectively within interdisciplinary teams","Technical proficiency and in-depth understanding of AI development process"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:39:47.802Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in Psychology, Significant research experience, Publications on Human-AI interaction, Extensive prior experience in industry, Strong understanding of ethical principles, Excellent research, analytical, and problem-solving skills, Strong written and verbal communication skills, Ability to collaborate effectively within interdisciplinary teams, Technical proficiency and in-depth understanding of AI development process","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":174000,"maxValue":258000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0947ca96-513"},"title":"Director, UX, GeminiApp, Growth and Discovery","description":"<p>We&#39;re seeking a visionary Design Leader to lead the strategy that will define the future of our product, the Gemini App. As a leader, you will use your UX expertise to innovate and push the bounds of what the Gemini App can be for our customers.</p>\n<p>Your passion for design and obsession with craft and quality are infectious, and your creative perspective is informed by a deep awareness of cultural, aesthetic, and artistic trends.</p>\n<p>The Growth &amp; Discovery Lead is responsible for the &quot;First Mile&quot; of the user journey. Your mission is to solve the &quot;blank page&quot; problem,ensuring that every user who downloads the Gemini app immediately discovers its value and integrates it into their daily life through intuitive onboarding and feature education.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Onboarding Excellence: Own the end-to-end mobile onboarding flow. You will ruthlessly eliminate friction, ensuring users reach their first &quot;Aha!&quot; moment within seconds of installation.</li>\n<li>Discovery Engine Design: Create contextual UI &quot;hooks&quot; and educational prompts that teach users how to harness Gemini’s unique mobile features, such as &quot;Live&quot; voice and camera-based reasoning.</li>\n<li>Data-Informed Iteration: Partner with Growth Marketing to run high-velocity A/B tests on app entry points, home-screen widgets, and subscription conversions.</li>\n<li>Viral Growth Loops: Design product-led growth mechanisms that make Gemini content easily shareable, driving organic adoption and network effects.</li>\n</ul>\n<p>About You</p>\n<p>In order to set you up for success, we look for the following skills and experience:</p>\n<ul>\n<li>Minimum: 15+ years of experience in User Experience / Design, with experience establishing UX best practices for emerging technologies or ambiguous problem spaces.</li>\n<li>10+ years in Product Design with a specialized focus on Growth, PLG, or User Acquisition.</li>\n<li>Mastery of behavioral psychology and using data to inform high-craft design decisions.</li>\n<li>Demonstrated ability to influence executive stakeholders and drive product strategy.</li>\n</ul>\n<p>Preferred background includes one or any combination of the following:</p>\n<ul>\n<li>Master&#39;s degree or Ph.D. in a design-related field.</li>\n<li>Experience with AI/ML and agentic technologies; Depth and breadth of knowledge that enables ideation and development of creative solutions.</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_0947ca96-513","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7542765","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$275,000 USD - $383,000 USD + bonus + equity + benefits","x-skills-required":["User Experience / Design","Emerging technologies","Ambiguous problem spaces","Product Design","Growth","PLG","User Acquisition","Behavioral psychology","Data analysis"],"x-skills-preferred":["AI/ML","Agentic technologies"],"datePosted":"2026-04-18T15:39:19.658Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"User Experience / Design, Emerging technologies, Ambiguous problem spaces, Product Design, Growth, PLG, User Acquisition, Behavioral psychology, Data analysis, AI/ML, Agentic technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":275000,"maxValue":383000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_66bbed6c-63e"},"title":"Conversion Rate Optimisation Lead (CRO Lead)","description":"<p><strong>Job Description</strong></p>\n<p>Future is a global leader in specialist media, with 250+ iconic brands reaching hundreds of millions worldwide. Our flagship brands are critical growth drivers.</p>\n<p><strong>What you&#39;ll be doing</strong></p>\n<p>As a Conversion Rate Optimisation Lead (CRO Lead), you will be a pivotal member of the Growth Squad, responsible for establishing, coordinating and scaling a best-in-class Growth CRO and experimentation program across the full funnel - from first click and landing pages through to checkout, onboarding and early-life engagement.</p>\n<p>This role is instrumental in improving CAC efficiency and LTV by driving higher conversion rates throughout the user journey and increasing test velocity across teams.</p>\n<p><strong>Experience that will put you ahead of the curve</strong></p>\n<ul>\n<li>Proven experience building and scaling full-funnel CRO and experimentation programs within high-growth digital businesses.</li>\n<li>Expertise in A/B testing platforms (Optimizely, VWO, AB Tasty, Adobe Target) and experimentation methodology.</li>\n<li>Strong foundation in statistics, test design and hypothesis-driven optimisation.</li>\n<li>Proficiency with analytics tools (GA, Adobe Analytics) and behavioural analytics (Hotjar, ContentSquare, Glassbox).</li>\n<li>Solid understanding of UX/UI principles and behavioural psychology as they drive conversion and user retention.</li>\n<li>Able to translate complex data into compelling commercial narratives.</li>\n<li>Experience influencing cross-functional stakeholders and driving alignment.</li>\n</ul>\n<p><strong>What&#39;s in it for you</strong></p>\n<p>The expected range for this role is £55,000 - £60,000. This is a Hybrid role from our Bath or London Office, working three days from the office, two from home.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Uncapped leave, because we trust you to manage your workload and time</li>\n<li>When we hit our targets, enjoy a share of our profits with a bonus</li>\n<li>Refer a friend and get rewarded when they join Future</li>\n<li>Well-being support with access to our Colleague Assistant Programmes</li>\n<li>Opportunity to purchase shares in Future, with our Share Incentive Plan</li>\n</ul>\n<p><strong>Who are we…</strong></p>\n<p>We&#39;re Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.</p>\n<p>We&#39;ve got ambitious plans that further build on our growth momentum and unlock new opportunities – and we&#39;re looking for driven people who want to be a part of it!</p>\n<p><strong>Our Future, Our Responsibility - Inclusion and Diversity at Future</strong></p>\n<p>We embrace and celebrate diversity, making it part of who we are.</p>\n<p>Different perspectives spark ideas, fuel creativity, and push us to innovate. That&#39;s why we&#39;re building a workplace where everyone feels valued, respected, and empowered to thrive.</p>\n<p>When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It&#39;s not just about what you bring to the table — it&#39;s about making sure the table has room for everyone.</p>\n<p>Because a diverse team isn&#39;t just good for business. It&#39;s the Future.</p>\n<p>Find out more about Our Future, Our Responsibility on our website.</p>\n<p>Please let us know if you need any reasonable adjustments made so we can give you the best experience!</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_66bbed6c-63e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Future","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/200EE19F92","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£55,000 - £60,000","x-skills-required":["A/B testing platforms","Experimentation methodology","Statistics","Test design","Hypothesis-driven optimisation","Analytics tools","Behavioural analytics","UX/UI principles","Behavioural psychology"],"x-skills-preferred":["Data analysis","Commercial narrative creation","Cross-functional stakeholder management"],"datePosted":"2026-03-09T16:19:28.084Z","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Media","skills":"A/B testing platforms, Experimentation methodology, Statistics, Test design, Hypothesis-driven optimisation, Analytics tools, Behavioural analytics, UX/UI principles, Behavioural psychology, Data analysis, Commercial narrative creation, Cross-functional stakeholder management","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":55000,"maxValue":60000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2361425d-47c"},"title":"Player Experience, Research II - Catalyst (NHL, UFC, F1)","description":"<p>You will join us as a Player Experience (PX) Researcher, focused on enhancing player experience across the Catalyst portfolio of products (i.e., EA SPORTS NHL, UFC, and F1). 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Certain roles may also be eligible for bonus and equity.  ## About Electronic Arts  We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.  We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. 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We are excited to announce an opportunity for individuals ready to dive into the world of HR in the gaming industry.</p>\n<p>We are looking for a proactive and enthusiastic HR Administrator to join our team. As an HR Administrator, you will gain hands-on experience in various aspects of HR Administration, including organizing and maintaining employee records, assisting with filing documents, preparing onboarding documents, and supporting data entry and report generation.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Organize and maintain employee records (digital and physical).</p>\n</li>\n<li><p>Assist with filing documents such as contracts, NDAs, etc.</p>\n</li>\n<li><p>Prepare onboarding documents and welcome kits.</p>\n</li>\n<li><p>Assist with orientation sessions for new hires.</p>\n</li>\n<li><p>Support data entry and report generation</p>\n</li>\n<li><p>Contribute fresh ideas to improve HR processes and enhance the overall employee experience.</p>\n</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Possibility to growth within the gaming industry</li>\n<li>Free beverages and fruit</li>\n<li>Chill out zone with video games</li>\n<li>The casual and fun work environment</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_40df8475-8c4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Company name not specified","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/41203FA127","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["English at minimum B2 level","Polish at advanced level","HR management","psychology","business administration"],"x-skills-preferred":[],"datePosted":"2026-03-09T10:54:35.400Z","employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Gaming","skills":"English at minimum B2 level, Polish at advanced level, HR management, psychology, business administration"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8c2996bc-994"},"title":"Principal UX Engineer Automotive","description":"<p><strong>Job Purpose</strong></p>\n<p>As an Infotainment UX Engineer, you will conduct and utilize existing research to define and develop Infotainment solutions, features, and designs that satisfy customer needs and maintain competitiveness with the utmost quality of all infotainment development content with a focus on C.A.S.E. 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Provide guidance to others as needed.</li>\n<li>Write clear and concise reports, presentations, and/or technical documents to make a record of the development activities, communicating directly with Technical Experts.</li>\n</ul>\n<p><strong>Qualifications, Skills, and Experience</strong></p>\n<ul>\n<li>Minimum Educational Qualifications: Bachelors in Human Factors, Industrial Design, UX design; Engineering, Psychology, Product Development or equivalent relevant industry experience.</li>\n<li>Minimum Experience: At least 8+ years of relevant experience.</li>\n<li>Other Job-Specific Skills: Experience of supervising and directing people and other resources to achieve specific end results within limited timeframes (minimum of 1 ~ 3 years). Experience conducting user-centered research in educational and/or professional environment. Product Benchmarking. Experience with GUI prototyping preferred (Figma, ProtoPie, Axure, Kanzi, etc). Excellent communication skills and ability to produce presentation documents.</li>\n<li>Workstyle: Employee must be able to work all days of the workweek at our Auto Development Center, Raymond, OH office location.</li>\n</ul>\n<p><strong>What Differentiates Honda and Makes Us an Employer of Choice?</strong></p>\n<p><strong>Total Rewards</strong></p>\n<ul>\n<li>Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)</li>\n<li>Regional Bonus (when applicable)</li>\n<li>Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)</li>\n<li>Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)</li>\n<li>Paid time off, including vacation, holidays, shutdown</li>\n<li>Company Paid Short-Term and Long-Term Disability</li>\n<li>401K Plan with company match + additional contribution</li>\n<li>Relocation assistance (if eligible)</li>\n</ul>\n<p><strong>Career Growth</strong></p>\n<ul>\n<li>Advancement Opportunities</li>\n<li>Career Mobility</li>\n<li>Education Reimbursement for Continued learning</li>\n<li>Training and Development Programs</li>\n</ul>\n<p><strong>Additional Offerings</strong></p>\n<ul>\n<li>Lifestyle Account</li>\n<li>Childcare Reimbursement Account</li>\n<li>Elder Care Support</li>\n<li>Tuition Assistance &amp; Student Loan Repayment</li>\n<li>Wellbeing Program</li>\n<li>Community Service and Engagement Programs</li>\n<li>Product Programs</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_8c2996bc-994","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Honda","sameAs":"https://careers.honda.com","logo":"https://logos.yubhub.co/careers.honda.com.png"},"x-apply-url":"https://careers.honda.com/us/en/job/10379/Principal-UX-Engineer-Automotive","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$103,200.00 - $154,700.00","x-skills-required":["UX design","Human Factors","Industrial Design","Engineering","Psychology","Product Development","GUI prototyping","Figma","ProtoPie","Axure","Kanzi","Product Benchmarking","User-centered research"],"x-skills-preferred":["Figma","ProtoPie","Axure","Kanzi"],"datePosted":"2026-03-08T22:13:49.529Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raymond, Ohio"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"UX design, Human Factors, Industrial Design, Engineering, Psychology, Product Development, GUI prototyping, Figma, ProtoPie, Axure, Kanzi, Product Benchmarking, User-centered research, Figma, ProtoPie, Axure, Kanzi","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":103200,"maxValue":154700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c33b2d78-cc9"},"title":"Research Lead, Training Insights","description":"<p><strong>About the role</strong></p>\n<p>As a Research Lead on the Training Insights team, you&#39;ll develop the strategy for, and lead execution on, how we measure and characterise model capabilities across training and deployment. 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However, some roles may require more time in our offices repsectively.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas!</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_c33b2d78-cc9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5139654008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$850,000 - $850,000USD","x-skills-required":["machine learning","evaluation methodologies","Reinforcement Learning","Pretraining","Inference","Product","Alignment","Safeguards"],"x-skills-preferred":["psychometrics","experimental psychology","safety evaluation frameworks","red teaming methodologies"],"datePosted":"2026-03-08T13:45:37.187Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, evaluation methodologies, Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, psychometrics, experimental psychology, safety evaluation frameworks, red teaming methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":850000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b39d0db-e3b"},"title":"Product Manager, Safety Systems","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Product Manager, Safety Systems</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>Department</strong></p>\n<p>Product Management</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. 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Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI&#39;s commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency.</p>\n<p>Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Product Manager on the Safety Systems team, you will drive initiatives which ensure that OpenAI’s frontier model deployments are safe, impactful, and aligned with user needs and technical innovation. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making.</p>\n<p>This position is based in San Francisco, CA, with relocation assistance available.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Partner closely with research, engineering, data science, policy teams, and other stakeholders to embed safety throughout the development and deployment of frontier AI models.</li>\n</ul>\n<ul>\n<li>Develop comprehensive frameworks for understanding and mitigating deployment safety risks, drawing on data analysis, expert consultation, and adversarial assessments.</li>\n</ul>\n<ul>\n<li>Define strategic priorities and product roadmaps focused on improving deployment safety, enhancing reliability, and managing emerging AI capabilities.</li>\n</ul>\n<ul>\n<li>Create scalable methodologies, tools, and processes for evaluating, refining, and continuously improving our safety systems.</li>\n</ul>\n<ul>\n<li>Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s models and product offerings.</li>\n</ul>\n<ul>\n<li>Develop and continuously refine clear, actionable metrics that effectively capture safety performance and user experience at scale.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 6+ years of product management or related industry roles, with specific expertise in AI safety, trust &amp; safety, integrity, or related domains.</li>\n</ul>\n<ul>\n<li>Are deeply curious and interested in interdisciplinary fields such as human-computer interaction, psychology, philosophy, or similar areas.</li>\n</ul>\n<ul>\n<li>Have hands-on experience driving consensus and action in ambiguous spaces.</li>\n</ul>\n<ul>\n<li>Excel at identifying and challenging underlying assumptions and constraints through insightful questioning.</li>\n</ul>\n<ul>\n<li>Are highly effective at cross-functional collaboration and communicating complex technical concepts clearly and persuasively.</li>\n</ul>\n<ul>\n<li>Enjoy working in a fast-paced, high-growth environment.</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. 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