{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/conjoint"},"x-facet":{"type":"skill","slug":"conjoint","display":"Conjoint","count":2},"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_239d7fb1-d73"},"title":"Director of Pricing","description":"<p>As the Director of Pricing, you will help define how GitLab captures the value of the most comprehensive AI-powered DevSecOps platform. This role sits within Product Monetization and reports to the VP of Product, Platforms &amp; Monetization.</p>\n<p>You will own pricing strategy end to end during an important period for GitLab, as we evolve from traditional seat-based models toward AI and usage-based monetization across SaaS, self-managed, and single-tenant offerings. You will shape decisions that influence product packaging, commercial performance, and long-term growth, while partnering with senior leaders across the business.</p>\n<p>This is a high-impact opportunity to build clarity in a complex space, bring rigor to major monetization decisions, and leave a lasting mark on GitLab&#39;s commercial trajectory.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Define and lead GitLab&#39;s pricing strategy, including the roadmap for packaging, edition architecture, and monetization across core and emerging offers.</li>\n</ul>\n<ul>\n<li>Guide the transition across seat-based, usage-based, and hybrid pricing models, with particular focus on AI-related monetization opportunities.</li>\n</ul>\n<ul>\n<li>Build and lead a high-performing global pricing organization, including setting the operating model, developing managers and individual contributors, and raising the quality bar for pricing work.</li>\n</ul>\n<ul>\n<li>Partner with leaders across product, engineering, finance, sales, marketing, and operations to evaluate trade-offs between growth, adoption, margin, and customer value.</li>\n</ul>\n<ul>\n<li>Own pricing models, scenario planning, forecasts, and business cases that connect pricing decisions to measurable outcomes such as average selling price, average revenue per user, and monetization performance.</li>\n</ul>\n<ul>\n<li>Lead pricing research and testing approaches, using methods such as customer interviews, conjoint analysis, Van Westendorp, and experiments to inform strategic recommendations.</li>\n</ul>\n<ul>\n<li>Present pricing proposals and recommendations clearly to senior leadership, including executive-level stakeholders, with well-supported analysis and clear decision paths.</li>\n</ul>\n<ul>\n<li>Ensure pricing changes are implemented smoothly by coordinating readiness across systems, processes, enablement, and customer communication to support successful launches and business adoption.</li>\n</ul>\n<p>What you&#39;ll bring:</p>\n<ul>\n<li>Significant experience in pricing, including leadership of multi-disciplinary teams and ownership of complex monetization decisions in a B2B software environment.</li>\n</ul>\n<ul>\n<li>Deep expertise in SaaS pricing models, including seat-based, usage-based, and hybrid approaches, with strong judgment on when each model fits.</li>\n</ul>\n<ul>\n<li>Demonstrated success shaping portfolio-level pricing across multiple products, offers, or deployment models.</li>\n</ul>\n<ul>\n<li>Strong analytical skills with the ability to build robust models, test assumptions, evaluate scenarios, and communicate implications with confidence.</li>\n</ul>\n<ul>\n<li>Fluency in pricing research methods, including conjoint analysis, Van Westendorp, customer interviews, and experimentation, and the ability to apply the right method to the right question.</li>\n</ul>\n<ul>\n<li>Experience working through ambiguity and creating structure, process, and momentum in areas that are still evolving.</li>\n</ul>\n<ul>\n<li>Proven ability to influence senior stakeholders and work effectively across a distributed, asynchronous organization.</li>\n</ul>\n<ul>\n<li>Familiarity with pricing for AI-related products or consumption-based offerings, as well as experience across SaaS, self-managed, or single-tenant environments, is a strong advantage.</li>\n</ul>\n<p>About the team:</p>\n<p>The Product Monetization team helps GitLab align product value, customer needs, and business outcomes through thoughtful packaging and pricing. We work at the intersection of product, finance, and go-to-market strategy, helping the company make clear, evidence-based monetization decisions as GitLab continues to grow and evolve.</p>\n<p>Our work is highly cross-functional and especially important as GitLab expands its AI-powered capabilities and pricing approaches across different deployment models.</p>\n<p>We expect team members to bring strong judgment, clear communication, and a builder mindset to complex questions that affect customers and the business at scale.</p>\n<p>In this environment, you&#39;ll have the opportunity to work with leaders across GitLab, solve meaningful commercial challenges, and help shape how the company goes to market in the years ahead.</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_239d7fb1-d73","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://about.gitlab.com/","logo":"https://logos.yubhub.co/about.gitlab.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gitlab/jobs/8500092002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$161,400-$302,600 USD","x-skills-required":["Pricing strategy","Product monetization","SaaS pricing models","Conjoint analysis","Van Westendorp","Customer interviews","Experimentation","Business case development","Pricing research","Scenario planning","Forecasting","Average selling price","Average revenue per user","Monetization performance"],"x-skills-preferred":["AI-related products","Consumption-based offerings","SaaS","Self-managed","Single-tenant environments"],"datePosted":"2026-04-18T15:42:17.939Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, Canada; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Pricing strategy, Product monetization, SaaS pricing models, Conjoint analysis, Van Westendorp, Customer interviews, Experimentation, Business case development, Pricing research, Scenario planning, Forecasting, Average selling price, Average revenue per user, Monetization performance, AI-related products, Consumption-based offerings, SaaS, Self-managed, Single-tenant environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":161400,"maxValue":302600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e165445a-72f"},"title":"Product Policy - Data Scientist","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Product Policy - Data Scientist</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>Product Policy</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<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><strong>About the Team</strong></strong></p>\n<p>The Product Research team partners closely with Product Management, Design, Engineering, and Policy to ensure OpenAI builds products that are useful, usable, and responsible. We help teams understand user needs, evaluate product concepts, and validate experiences across the full product lifecycle—from early exploration through launch and iteration.</p>\n<p>Our work directly informs how OpenAI’s products evolve, ensuring that we deliver experiences that meet real-world needs while upholding OpenAI’s mission to ensure AI benefits all of humanity.</p>\n<p><strong><strong>About the role</strong></strong></p>\n<p>As a <strong>Product Policy - Data Scientist</strong>, you will design and lead high-impact research that shapes OpenAI’s product strategy and user experience. You’ll work across multiple product teams to generate insights that influence product decisions, inform design direction, and improve how people interact with AI.</p>\n<p>You will own research from start to finish—partnering with stakeholders to define the right questions, choosing the best methods, executing studies, and turning findings into clear, actionable recommendations. This role requires someone who can balance rigor with speed, bring clarity to ambiguity, and confidently influence cross-functional partners at all levels.</p>\n<p>This role is based in the <strong>San Francisco Bay Area</strong> and requires being in the office <strong>three days per week</strong> to collaborate closely with cross-functional partners.</p>\n<p><strong><strong>We&#39;re looking for people who:</strong></strong></p>\n<ul>\n<li>Partner with product managers, designers, and engineers to identify and prioritize research opportunities that improve product decisions and user experience</li>\n</ul>\n<ul>\n<li>Design and execute high-quality qualitative and quantitative research across all stages of product development, including foundational research, concept testing, prototyping, and usability testing</li>\n</ul>\n<ul>\n<li>Lead end-to-end research projects, from scoping and study design through recruitment, fieldwork, analysis, and reporting</li>\n</ul>\n<ul>\n<li>Translate complex research findings into clear, compelling insights that inform product strategy and design direction</li>\n</ul>\n<ul>\n<li>Present findings and recommendations to senior leadership and key stakeholders</li>\n</ul>\n<ul>\n<li>Balance rigor and speed by adapting methods to timelines while maintaining high standards for data quality and validity</li>\n</ul>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>7+ years of experience in user experience research, market research, or a related field</li>\n</ul>\n<ul>\n<li>Deep expertise in <strong>mixed-methods research</strong>, with strong qualitative skills and the ability to conduct and analyze quantitative studies at scale</li>\n</ul>\n<ul>\n<li>Proven experience leading research that has shaped product or design decisions</li>\n</ul>\n<ul>\n<li>Exceptional written and verbal communication skills, with the ability to influence across disciplines and levels</li>\n</ul>\n<ul>\n<li>Experience working with senior stakeholders and cross-functional teams</li>\n</ul>\n<p><strong><strong>You might thrive in this role if. you:</strong></strong></p>\n<ul>\n<li>Experience with advanced quantitative methods (e.g., MaxDiff, conjoint, segmentation)</li>\n</ul>\n<ul>\n<li>Experience working with executive audiences or large enterprise clients</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 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_e165445a-72f","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/fc8a9723-6e53-4ed4-a2ba-001f0828d7ba","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $385K • Offers Equity","x-skills-required":["mixed-methods research","qualitative skills","quantitative studies","product development","product strategy","user experience","research design","data analysis","reporting","product management","design","engineering","policy"],"x-skills-preferred":["advanced quantitative methods","MaxDiff","conjoint","segmentation","executive audiences","large enterprise clients"],"datePosted":"2026-03-06T18:42:38.802Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"mixed-methods research, qualitative skills, quantitative studies, product development, product strategy, user experience, research design, data analysis, reporting, product management, design, engineering, policy, advanced quantitative methods, MaxDiff, conjoint, segmentation, executive audiences, large enterprise clients","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":385000,"unitText":"YEAR"}}}]}