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Our work directly shapes how 40k+ hosts understand, adopt, and trust Holidu.</p>\n<p>As part of a small team with broad ownership, you will gain exposure to both strategic positioning work and hands-on execution across multiple channels.</p>\n<p><strong>Your role in this journey</strong></p>\n<p>This is not a classic content internship. A central focus of your role will be supporting the implementation and continuous optimization of our Host positioning across all relevant touchpoints , from website and product communication to sales materials and onboarding flows.</p>\n<p>Beyond positioning, you will work across the full Product Marketing scope:</p>\n<p>Messaging quality across touchpoints: Audit host-facing communication for clarity, consistency, and strategic alignment. Identify gaps, propose structured improvements, and translate positioning frameworks into persuasive, high-performing copy.</p>\n<p>Host Marketing Website &amp; experimentation: Support the evolution of our website , messaging, structure, and localization consistency , and help run structured experiments (hypotheses, baselines, variants, learnings) that connect narrative to performance.</p>\n<p>Proof points &amp; performance storytelling: Work with Business Intelligence to turn data into compelling, KPI-backed messaging that strengthens credibility and makes our value proposition tangible.</p>\n<p>Feature launches &amp; internal enablement: Support go-to-market initiatives for new features through structured messaging assets, internal briefings, and cross-functional coordination.</p>\n<p>Research &amp; insight building: Assist in lightweight research initiatives , micro-surveys, user testing, feedback synthesis , and help build structured knowledge inputs that improve AI-supported workflows and messaging consistency.</p>\n<p><strong>Your backpack is filled with</strong></p>\n<p>You are either:</p>\n<ul>\n<li>Currently enrolled in a degree in Business, Marketing, Economics, Strategy, Communications, Data, or a related field, or</li>\n<li>A recent graduate looking for a high-learning, high-ownership entry into Product Marketing.</li>\n</ul>\n<p>You bring:</p>\n<ul>\n<li>Strong analytical and structured thinking.</li>\n<li>The ability to connect messaging to business impact.</li>\n<li>Excellent English writing skills.</li>\n</ul>\n<p>Fluency in German or another European core market language (French, Italian, Spanish, Portuguese, Greek, Croatian) is a strong plus.</p>\n<ul>\n<li>Curiosity about strategy, persuasion, and experimentation.</li>\n<li>Comfort working with AI tools to accelerate research, writing, and workflows.</li>\n</ul>\n<ul>\n<li>A proactive mindset , you take initiative instead of waiting for perfect instructions.</li>\n</ul>\n<ul>\n<li>Comfort navigating ambiguity and collaborating cross-functionally.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Exposure to SaaS, marketplaces, or tech-enabled businesses.</li>\n<li>Experience with analytics, dashboards, or A/B testing.</li>\n<li>A consulting-style or research-driven way of thinking.</li>\n</ul>\n<p><strong>Our adventure includes</strong></p>\n<ul>\n<li>Compensation: Get a fair salary.</li>\n<li>Impact: Make a difference for hundreds of thousands of monthly users.</li>\n<li>Growth: Take responsibility from day one and develop through regular feedback.</li>\n<li>Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.</li>\n<li>Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.</li>\n<li>Fitness: Get a premium gym membership at a discounted rate.</li>\n</ul>\n<p>Need a sneak peek?</p>\n<ul>\n<li>Check out the adventure that awaits you on Instagram @lifeatholidu.</li>\n<li>See also what Life as an intern looks like at Holidu!</li>\n</ul>\n<p><strong>Want to travel with us?</strong></p>\n<p>Apply online on our career page! Your first travel contact will be Sabrina from HR.</p>\n<p>We are committed to diversity in all aspects of our business. We encourage applications from all genders, all corners of the world and all individual backgrounds. You are welcome to submit your application without a photo and without stating your gender, date of birth, marital status, nationality or disability status (if applicable).</p>\n<p>If you require any special assistance when arranging interviews, office visits or the recruitment process in general, please contact the relevant HR person responsible for this job and we will do our best to accommodate your needs.</p>\n<p><strong>CONTACT_PERSON</strong></p>\n<p>SABRINA</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_7f788906-319","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2537467","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"Internship","x-salary-range":null,"x-skills-required":["Strong analytical and structured thinking","Excellent English writing skills","Fluency in German or another European core market language","Curiosity about strategy, persuasion, and experimentation","Comfort working with AI tools"],"x-skills-preferred":["Exposure to SaaS, marketplaces, or tech-enabled businesses","Experience with analytics, dashboards, or A/B testing","A consulting-style or research-driven way of thinking"],"datePosted":"2026-04-18T22:13:54.961Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"INTERN","occupationalCategory":"Marketing","industry":"Technology","skills":"Strong analytical and structured thinking, Excellent English writing skills, Fluency in German or another European core market language, Curiosity about strategy, persuasion, and experimentation, Comfort working with AI tools, Exposure to SaaS, marketplaces, or tech-enabled businesses, Experience with analytics, dashboards, or A/B testing, A consulting-style or research-driven way of thinking"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9a03e70-89e"},"title":"Primary Care Sales Consultant - Lower Manhattan, NY","description":"<p>At Bayer, we&#39;re seeking a motivated and experienced Primary Care Sales Consultant to join our team in Lower Manhattan, NY. As a Primary Care Sales Consultant, you will be responsible for implementing sales strategies for approved cardiorenal products and driving launch activities for an anticipated menopause product.</p>\n<p>Your primary responsibilities will include building and developing professional relationships with primary care physicians, driving appropriate utilization of approved products, leveraging expertise and knowledge of the diabetes and menopause marketplace, and providing relevant input to other commercial colleagues.</p>\n<p>To succeed in this role, you will need to have a proven track record of consistent high performance in a sales role, outstanding written and oral communication skills, and the ability to comply with customer credentialing and safety requirements.</p>\n<p>In return, you can expect to be paid a salary between $120,960.00 to $181,440.00, with additional compensation including a bonus or commission (if relevant), and a range of benefits including health care, vision, dental, retirement, PTO, and sick leave.</p>\n<p>This role is eligible for an enhanced employee referral bonus, and you will be working as part of a dynamic team that is committed to making a real difference in the lives of patients.</p>\n<p>If you meet the requirements of this unique opportunity and want to impact our mission Health for all, Hunger for none, we encourage you to apply now.</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_c9a03e70-89e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976829298","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$120,960.00 to $181,440.00","x-skills-required":["pharmaceutical sales","cardiorenal products","menopause product","diabetes and menopause marketplace","customer relationship building"],"x-skills-preferred":["advanced degree","product launch experience","strong analytical and computer capabilities","virtual sales experience","local relationships with HCPs and understanding of local market"],"datePosted":"2026-04-18T22:12:36.992Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Manhattan"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Healthcare","skills":"pharmaceutical sales, cardiorenal products, menopause product, diabetes and menopause marketplace, customer relationship building, advanced degree, product launch experience, strong analytical and computer capabilities, virtual sales experience, local relationships with HCPs and understanding of local market","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":120960,"maxValue":181440,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ab6d2b1a-3b3"},"title":"Internship, Digital Marketing, Benelux team (Dutch speaking)","description":"<p>Why we are here</p>\n<p>Tony&#39;s Chocolonely is committed to ending exploitation in cocoa. We are an impact company that makes chocolate, not a chocolate company that makes impact. With incredibly tasty chocolate, we lead by example, demonstrating that ethical practices and success can go hand in hand.</p>\n<p>Through Tony&#39;s Open Chain (TOC), mission allies like Albert Heijn, Ben &amp; Jerry&#39;s, Jokolade, and Aldi have embraced a fairer, more transparent supply chain for their chocolate. Now we are on the hunt for our new Digital Marketing Intern to join our B&amp;B team in Amsterdam!</p>\n<p>This internship offers a unique opportunity to gain hands-on sales experience within the e-commerce channel in a growing company, all while making a significant positive impact in the world of cocoa.</p>\n<p>Here’s what you’ll learn:</p>\n<p>Digital Marketing - How to prepare visual assets for paid social campaigns and coordinate with external media agencies.</p>\n<p>The basics of Paid Search: analysing keywords, relevance and traffic to support smarter advertising decisions.</p>\n<p>How to draft and review ad copy and creative materials to optimize campaign performance across channels.</p>\n<p>Customer Relationship Management (CRM) - How to prepare and schedule email newsletters, including selecting segments and coordinating content.</p>\n<p>How customer lifecycle stages work and how retention strategies (loyalty, incentives, postpurchase flows) are built.</p>\n<p>How to help create product brochures for key seasonal or campaign moments.</p>\n<p>Webshop Management - How to update webshop content and navigate Shopify CMS.</p>\n<p>Planning and supporting the execution of seasonal campaigns like Sinterklaas, Christmas and Easter.</p>\n<p>Collecting and interpreting basic webshop data to understand performance insights.</p>\n<p>Marketplace Management (Bol.com) - How to activate products, check listings and ensure data accuracy.</p>\n<p>How to optimise titles, descriptions, packshots and variations to drive visibility and conversion.</p>\n<p>A basic understanding of ecommerce pricing (fees, fulfilment, margins).</p>\n<p>Here’s what you’ll do:</p>\n<p>Support the preparation of digital campaign visuals and coordinate delivery with our media agency.</p>\n<p>Help draft ad copy and review creative materials for paid social and paid search.</p>\n<p>Assist with creating and sending email newsletters to our Serious Friends (loyal customers).</p>\n<p>Prepare a seasonal Easter brochure to support resellers with clear, complete product information.</p>\n<p>Make sure seasonal products are correctly listed on Bol , including packshots, copy, pricing and content.</p>\n<p>Support the research of loyalty opportunities for our B2R customers.</p>\n<p>Help update homepage and collection tiles based on seasonal or new product campaigns.</p>\n<p>Requirements</p>\n<p>Job requirements:</p>\n<p>You’re studying for a relevant HBO/university degree in Digital Marketing, Ecommerce, Communication or a related field.</p>\n<p>You speak and write Dutch fluently (a must for Benelux-focused content).</p>\n<p>You’re curious, hands-on, eager to learn and not afraid to test, try, fail and learn.</p>\n<p>Believe wholeheartedly in Tony’s mission. You live our core values: outspoken, In it together, Makes your smile, Entrepreneurial and Raise the bar</p>\n<p>Here are the hard facts:</p>\n<p>Starting on September 1st, you&#39;ll be part of our Tony&#39;s team for 6 months.</p>\n<p>We are all about being more in person than apart; this means we offer flexibility but see each other in our Amsterdam office on average 3-4 days a week. More is fine!</p>\n<p>You’ll be living in the Netherlands and enrolled at a Dutch educational institution during the entire internship.</p>\n<p>Here&#39;s what you can expect from us:</p>\n<p>You&#39;ll be part of an enthusiastic team of driven colleagues who share your love for Tony&#39;s and our commitment.</p>\n<p>We&#39;re a fast-growing international company, and we believe in doing things differently.</p>\n<p>As an intern, you&#39;ll have the opportunity to directly contribute to the success of Tony&#39;s Chocolonely.</p>\n<p>You&#39;ll be challenged to raise the bar and make a real impact in the world.</p>\n<p>You&#39;ll have 14 vacation days over the six-month period, and we&#39;ll provide you with a monthly €550 internship allowance for a full-time (40 h) internship.</p>\n<p>Our office in Amsterdam Houthavens is a pretty sweet workplace - you&#39;ll enjoy a free fresh and tasty lunch, and plenty of snacks.</p>\n<p>We know how to work hard, but we also know how to have fun.</p>\n<p>And of course, you get to take home as much chocolate as you can carry.</p>\n<p>Sounds like you?</p>\n<p>If you&#39;re ready to take the chocolate industry to new heights with us, we&#39;d love to hear from you!</p>\n<p>Everybody is welcome to apply.</p>\n<p>From classics to limited editions, we know that different flavours make life more inspiring.</p>\n<p>And not just in our chocolate assortment.</p>\n<p>At Tony’s, we welcome everyone with equal enthusiasm – regardless of race, colour, age, gender, sexual orientation, nationality, disability or veteran status.</p>\n<p>Crazy about chocolate, serious about people.</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_ab6d2b1a-3b3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Tony's Chocolonely","sameAs":"https://jobs.tonyschocolonely.com","logo":"https://logos.yubhub.co/jobs.tonyschocolonely.com.png"},"x-apply-url":"https://jobs.tonyschocolonely.com/o/internship-digital-marketing-benelux-team-dutch-speaking","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["Digital Marketing","Ecommerce","Communication","Paid Search","Customer Relationship Management","Webshop Management","Marketplace Management","Shopify CMS","Google Analytics"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:12:06.546Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam"}},"employmentType":"INTERN","occupationalCategory":"Marketing","industry":"Food and Beverage","skills":"Digital Marketing, Ecommerce, Communication, Paid Search, Customer Relationship Management, Webshop Management, Marketplace Management, Shopify CMS, Google Analytics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_02c944ab-f9e"},"title":"Senior Data Scientist - Dynamic Pricing & Revenue Management (all genders)","description":"<p>You&#39;ll be part of our new Dynamic Pricing &amp; Revenue Management team, working alongside a Data Analyst and Data Engineer. 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The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training.</p>\n<p>We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem. This isn&#39;t a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio.</p>\n<p>Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. By utilizing AI coding tools at high velocity, you will build out analytics pipelines, dashboards, and detection logic to shift Trust and Safety from a reactive function to a strategic one that balances safety and growth.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Analyze large, messy behavioural events to identify ambiguous and constantly evolving fraud patterns across the contributor lifecycle.</li>\n</ul>\n<ul>\n<li>Translate your analytical findings into actionable detection logic. You will redesign rules, optimize thresholds, and decision flows to catch bad actors while minimizing friction for high-quality contributors.</li>\n</ul>\n<ul>\n<li>Establish robust KPIs, build tracking dashboards, and define offline evaluation frameworks (e.g., false positive monitoring, precision/recall analysis) to continuously measure the health of our risk strategy.</li>\n</ul>\n<ul>\n<li>Act as the connective tissue between data, operations, and engineering. You will use your analytical findings to implement technical execution, taking new detection capabilities from data prototype to production deployment.</li>\n</ul>\n<ul>\n<li>Leverage AI-assisted IDEs daily to rapidly write complex SQL queries, automate data pulls, and streamline your analytical workflows.</li>\n</ul>\n<ul>\n<li>Connect signals, data, and operations to see the full picture. Provide clear, direct communication regarding fraud trends and strategy shifts to both technical and non-technical partners.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5-8 years of experience in risk strategy and fraud analytics. You have a battle-tested track record of reverse-engineering adversarial patterns, dismantling complex fraud vectors, and driving highly analytical Trust &amp; Safety or TPM programs.</li>\n</ul>\n<ul>\n<li>Expert proficiency in SQL skills. You must be highly comfortable extracting insights from large datasets in noisy, adversarial environments.</li>\n</ul>\n<ul>\n<li>An execution-driven mindset focused on delivering measurable results, not just theoretical analysis. You are comfortable working in ambiguity and taking ownership from data problems to operational solutions.</li>\n</ul>\n<ul>\n<li>Strong proficiency with AI coding assistants to accelerate data exploration and query writing.</li>\n</ul>\n<ul>\n<li>Deep understanding of how to balance aggressive fraud detection with marketplace growth. You make decisions based on what&#39;s right for the business, not what&#39;s convenient.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Solid Python skills (e.g., Pandas, NumPy) for advanced data manipulation and scripting</li>\n</ul>\n<ul>\n<li>Experience working in marketplace or gig-economy platforms is a plus</li>\n</ul>\n<p>Compensation</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>Salary Range</p>\n<p>The base salary range for this full-time position in the location of San Francisco is: $180,800-$226,000 USD</p>\n<p>Benefits</p>\n<p>You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>About Us</p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.</p>\n<p>We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</p>\n<p>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</p>\n<p>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.</p>\n<p>Please see the United States Department of Labor&#39;s Know Your Rights poster for additional information.</p>\n<p>We comply with the United States Department of Labor&#39;s Pay Transparency provision.</p>\n<p>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. 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On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.</p>\n<p>The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.</p>\n<p>Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities</p>\n<p>Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information</p>\n<p>Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign</p>\n<p>What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Salary Range: $167,200-$209,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6365e7d7-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1edcf0e3-e4b"},"title":"Product Manager, Gen AI Platform","description":"<p>We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem).</p>\n<p>As a Product Manager at Scale, you will sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale.</p>\n<p>You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable.</p>\n<p>Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end , from strategy to execution to instrumentation.</p>\n<p>Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact</li>\n</ul>\n<ul>\n<li>Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design</li>\n</ul>\n<ul>\n<li>Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users</li>\n</ul>\n<ul>\n<li>Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities</li>\n</ul>\n<ul>\n<li>Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation</li>\n</ul>\n<ul>\n<li>Establish business cases and projected return on investment to identify and prioritize opportunities</li>\n</ul>\n<ul>\n<li>Partner with finance and business leaders to manage impact on the profitability and growth of the overall business</li>\n</ul>\n<ul>\n<li>Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners</li>\n</ul>\n<p><strong>Ideal Candidate</strong></p>\n<ul>\n<li>4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)</li>\n</ul>\n<ul>\n<li>Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments</li>\n</ul>\n<ul>\n<li>Experience translating complex technical systems into clear product strategies , comfort engaging deeply with engineering and data science teams</li>\n</ul>\n<ul>\n<li>Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences</li>\n</ul>\n<ul>\n<li>Experience building products from the ground up and iterating through the scaling journey of a business</li>\n</ul>\n<ul>\n<li>Bachelor’s or advanced degree in a quantitative, engineering, or related discipline</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</p>\n<p>$205,600-$257,000 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_1edcf0e3-e4b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4675842005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$205,600-$257,000 USD","x-skills-required":["Product Management","Data Analysis","Business Acumen","Communication","Stakeholder Management","Technical Strategy","Engineering","Data Science"],"x-skills-preferred":["AI/ML","Data Infrastructure","Marketplace Businesses"],"datePosted":"2026-04-18T15:58:14.572Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Data Analysis, Business Acumen, Communication, Stakeholder Management, Technical Strategy, Engineering, Data Science, AI/ML, Data Infrastructure, Marketplace Businesses","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":205600,"maxValue":257000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1b98506e-104"},"title":"Senior Manager, Supply Tech","description":"<p>We&#39;re seeking a Senior Manager, Supply Tech to lead a geographically distributed team while driving strategic initiatives across our business verticals.</p>\n<p>As a Senior Manager, Supply Tech, you will reimagine our GTM technology ecosystem to drive productivity for sales and account management teams and operations teams. You&#39;ll ensure we have the right, intelligent technology to help our teams that support hosts through their journeys.</p>\n<p>This is a role where you&#39;ll balance building and developing talent with solving complex business problems at scale. You&#39;ll own unified program roadmaps across Homes, Hotels, Experiences, and Services while partnering cross-functionally to deliver innovative technology and process solutions that keep our teams focused on hosts, not stuck in ineffective tools.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and develop a distributed team across multiple verticals, driving talent transformation from enablement-focused to product owner mindset through hiring, performance management, and strategic transitions of contingent workers</li>\n<li>Establish team success and accountability by defining metrics, measuring program outcomes, and building strong stakeholder relationships that enable your team to drive strategy</li>\n<li>Create growth pathways for team members at various career stages while managing geographically distributed teams and technology partners</li>\n</ul>\n<p>Strategic Work:</p>\n<ul>\n<li>Design and execute a unified roadmap strategy across acquisition and account management systems for all supply verticals, with deep hands-on focus on Homes account management</li>\n<li>Lead cross-functional delivery by coordinating complex initiatives across Supply, Operations, Product Marketing, Engineering, and Analytics teams while serving as a thought partner to senior stakeholders on behalf of Supply Tech</li>\n<li>Influence technical architecture by partnering with Business Technology, Platform and Engineering teams to pressure-test business requirements, evaluate build vs. buy decisions, and challenge solutions business success in mind</li>\n<li>Solve complex business problems by evaluating technology solutions from CRM to custom builds without ego, focusing on capability density and keeping teams focused on hosts rather than ineffective tools</li>\n<li>Partner proactively with Advanced Analytics, various technical teams and other Supply Tech functions to identify collaboration opportunities across shared customer bases</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>12+ years in business systems, GTM product ownership, or technical program management with 3+ years managing distributed teams</li>\n<li>Deep expertise in go-to-market systems, particularly acquisition and account management workflows, with strong understanding of Salesforce capabilities, limitations, and alternatives</li>\n<li>Proven track record building and transforming teams</li>\n<li>hiring, developing talent across experience levels, and managing performance through ambiguity while balancing IC work with management responsibilities</li>\n<li>Strategic problem-solving focused on business outcomes with platform-agnostic thinking and strong build vs. buy framework expertise</li>\n<li>Strong technical aptitude - can engage in architecture discussions, and engineering decisions with data-driven insights, and serve as technical consultant for non-technical audiences</li>\n<li>Exceptional stakeholder management and negotiation skills with VP and Director-level partners, influencing Product and Engineering teams unfamiliar with Sales and Operations organizations</li>\n<li>Executive communication skills for high-stakes presentations and ability to articulate complex technical concepts to diverse audiences</li>\n<li>Comfortable with ambiguity, complex stakeholder management, and identifying partnership opportunities across functions</li>\n</ul>\n<p>Preferred:</p>\n<ul>\n<li>SQL proficiency for analysis and requirements definition</li>\n<li>Experience managing contingent workforce alongside FTE teams</li>\n<li>Background in marketplaces, multi-sided platforms, or B2B2C business models</li>\n<li>Familiarity with GTM productivity tools and change management for internal systems adoption</li>\n</ul>\n<p>Your Location:</p>\n<p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.</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_1b98506e-104","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7768834","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$204,000-$249,000 USD","x-skills-required":["business systems","GTM product ownership","technical program management","distributed teams","go-to-market systems","acquisition and account management workflows","Salesforce capabilities","SQL proficiency","contingent workforce management","marketplaces","multi-sided platforms","B2B2C business models","GTM productivity tools","change management"],"x-skills-preferred":["experience managing contingent workforce alongside FTE teams","background in marketplaces, multi-sided platforms, or B2B2C business models","familiarity with GTM productivity tools and change management for internal systems adoption"],"datePosted":"2026-04-18T15:58:01.026Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"business systems, GTM product ownership, technical program management, distributed teams, go-to-market systems, acquisition and account management workflows, Salesforce capabilities, SQL proficiency, contingent workforce management, marketplaces, multi-sided platforms, B2B2C business models, GTM productivity tools, change management, experience managing contingent workforce alongside FTE teams, background in marketplaces, multi-sided platforms, or B2B2C business models, familiarity with GTM productivity tools and change management for internal systems adoption","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":204000,"maxValue":249000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8514594a-2d3"},"title":"Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference","description":"<p>We are looking for a Senior Staff Data Scientist to join our team. As a Senior Staff Data Scientist, you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the signal is noisy. You will report directly to the Head of Data and serve as a core leader for standards, frameworks, and decision quality across Product, Growth, Ops, and Finance.</p>\n<p>Your work will set the default methods for how we answer questions like:</p>\n<ul>\n<li>Did this actually cause the outcome we care about?</li>\n<li>How sure are we, and what should we do given that uncertainty?</li>\n<li>What evidence is strong enough to change strategy, policies, or spend?</li>\n</ul>\n<p>A major objective of this role is to build and institutionalize a clear map of “what we know” about patients, providers, and payers, with explicit confidence levels that tie directly to business action.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own causal inference and experimentation standards across Headway.</li>\n<li>Define the canonical approaches, guardrails, documentation, and review mechanisms for experiments and quasi-experiments, including when and how to use Bayesian methods.</li>\n<li>Build the confidence ladder for company knowledge.</li>\n<li>Create a clear, shared framework that maps findings to levels of confidence (for example 1–10), where lower levels reflect correlation and early directional evidence, mid levels reflect increasingly credible causal inference, and the highest levels reflect stable, repeatable, decision-grade truths.</li>\n<li>Operationalize it so it shows up in artifacts teams actually use: PRDs, launch reviews, growth planning, quarterly business reviews, and postmortems.</li>\n<li>Design the learning strategy for our hardest questions.</li>\n<li>Lead the approach for ambiguous, high impact domains like provider activation and retention, payer economics and policies, patient conversion and engagement, and marketplace dynamics.</li>\n<li>Recommend the right combination of randomized experiments, stepped rollouts, geo tests, natural experiments, and observational designs.</li>\n<li>Raise the organization’s statistical maturity.</li>\n<li>Introduce and standardize Bayesian experimentation practices where it improves speed and decision quality (priors, posterior interpretation, sequential decision rules, credible intervals, expected value framing).</li>\n<li>Build training, playbooks, and reusable tooling.</li>\n<li>Be the escalation point for difficult measurement problems.</li>\n<li>Tackle issues like interference and spillovers, network effects, selection bias, noncompliance, measurement error, multiple comparisons, seasonality, and Simpson’s paradox showing up in real life and causing confusion.</li>\n<li>Partner with Data Platform and Engineering to make rigor scalable.</li>\n<li>Ensure experimentation and inference are supported by instrumentation, logging, metric definitions, semantic layers, and monitoring.</li>\n<li>Help define the minimal foundations required for trustworthy learning.</li>\n<li>Build a culture of clear claims.</li>\n<li>Establish norms for separating facts, estimates, assumptions, and uncertainties.</li>\n<li>Make it easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.</li>\n<li>Mentor and set the bar.</li>\n<li>Coach other data scientists and analytics leaders.</li>\n<li>Create review standards for causal work,</li>\n<li>Support hiring for methodological depth,</li>\n<li>Represent Headway’s measurement philosophy internally and externally when appropriate.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).</li>\n<li>Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.</li>\n<li>Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.</li>\n<li>Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.</li>\n<li>Track record of setting org-wide standards that materially improved decision quality and execution velocity.</li>\n<li>Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.</li>\n<li>Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.</li>\n<li>Motivation for our mission: improving access and affordability in mental healthcare.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.</li>\n<li>Experience with experimentation under interference and network effects.</li>\n<li>Experience building experimentation platforms, analysis libraries, or statistical tooling used broadly across an organization.</li>\n<li>Familiarity with causal graphs, uplift modeling, and decision theory framing (expected value, value of information).</li>\n</ul>\n<p>Compensation and Benefits: The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.</p>\n<ul>\n<li>Benefits offered include:</li>\n<li>Equity compensation</li>\n<li>Medical, Dental, and Vision coverage</li>\n<li>HSA / FSA</li>\n<li>401K</li>\n<li>Work-from-Home Stipend</li>\n<li>Therapy Reimbursement</li>\n<li>16-week parental leave for eligible employees</li>\n<li>Carrot Fertility annual reimbursement and membership</li>\n<li>13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st</li>\n<li>Flexible PTO</li>\n<li>Employee Assistance Program (EAP)</li>\n<li>Training and professional development</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_8514594a-2d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://www.headway.com/","logo":"https://logos.yubhub.co/headway.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5751656004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$249,600 - $312,000","x-skills-required":["causal inference","experimentation","advanced statistics","Bayesian methods","SQL","Python","R","data analysis","data science"],"x-skills-preferred":["marketplaces","healthcare","insurance","complex incentive systems","experimentation under interference and network effects","experimentation platforms","analysis libraries","statistical tooling","causal graphs","uplift modeling","decision theory framing"],"datePosted":"2026-04-18T15:57:22.943Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"causal inference, experimentation, advanced statistics, Bayesian methods, SQL, Python, R, data analysis, data science, marketplaces, healthcare, insurance, complex incentive systems, experimentation under interference and network effects, experimentation platforms, analysis libraries, statistical tooling, causal graphs, uplift modeling, decision theory framing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":249600,"maxValue":312000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_58cb69be-2eb"},"title":"Product Counsel, Claude Platform","description":"<p>As Product Counsel for the Claude Platform, you will be the dedicated legal partner for Anthropic&#39;s Developer Platform and API, the Model Context Protocol and developer ecosystem, the Agent API and Managed Agents, third-party cloud distribution (such as Amazon Bedrock and Google Vertex), tiered-access and trust-and-safety programs, identity verification, and Skills marketplace licensing.\\n\\nYou will tackle novel legal questions at the intersection of developer tooling, enterprise readiness, and cloud-partner distribution, and help establish the terms, policies, and frameworks that let developers build safely on Claude.\\n\\nResponsibilities:\\n\\nPartner with Platform PM, API Engineering, Cloud Partnerships, and Commercial Legal to provide pragmatic legal guidance across the API, developer ecosystem, and cloud-distribution product lifecycle\\n\\nDraft and negotiate developer-facing terms (API ToS, acceptable-use policies, developer agreements), cloud-partner distribution terms, and enterprise order-form exhibits, collaborating with Commercial Legal on co-sell mechanics\\n\\nAdvise on API product features, tiered-access programs (TAP/ZDR), KYC/IDV requirements, and Cowork enterprise-readiness initiatives, balancing velocity with legal and contractual compliance\\n\\nSupport incident response and escalations related to API misuse, developer policy violations, and cloud-partner compliance issues\\n\\n\\nYou may be a good fit if you have:\\n\\nA JD from an accredited law school and active membership in at least one U.S. state bar\\n\\nAt least 8 years of relevant legal experience, with meaningful experience in API/platform, cloud-marketplace, or tech-transactions work, either in-house at a technology company or at a law firm with a strong technology practice\\n\\nWorking knowledge of legal frameworks relevant to developer platforms and B2B AI products, such as data-processing agreements, API/developer terms, cloud-distribution licensing, and emerging AI governance frameworks\\n\\nStrong technical fluency across cloud computing, APIs, and software development, with ability to quickly grasp AI/ML infrastructure concepts\\n\\nExperience thriving in fast-paced environments, with comfort navigating ambiguity and pivoting quickly as priorities shift\\n\\nA proactive &quot;doer&quot; mindset with ability to identify problems, propose solutions, and execute with minimal supervision\\n\\nUsed AI tools to scale your legal practice or a strong interest in learning to do so\\n\\nExceptional communication skills to translate complex legal concepts for non-lawyer audiences\\n\\nEmpathy and strong service orientation, with the ability to listen actively and help achieve organizational goals\\n\\n\\nStrong candidates may have:\\n\\nIn-house platform or API counsel experience at a cloud/SaaS company\\n\\nExperience structuring developer terms, marketplace licensing, or enterprise data-processing agreements\\n\\nExperience with cloud-marketplace distribution (e.g., AWS Marketplace / Bedrock, GCP / Vertex, Azure) or developer-platform go-to-market, including order-form mechanics and co-sell structures\\n\\n\\nApplication Deadline: 4pm PT on May 4, 2026. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.\\n\\nRole-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $265,000-$320,000 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_58cb69be-2eb","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/5191775008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$265,000-$320,000 USD","x-skills-required":["JD from an accredited law school","Active membership in at least one U.S. state bar","Relevant legal experience in API/platform, cloud-marketplace, or tech-transactions work","Working knowledge of legal frameworks relevant to developer platforms and B2B AI products","Strong technical fluency across cloud computing, APIs, and software development"],"x-skills-preferred":["AI tools to scale legal practice","Exceptional communication skills","Empathy and strong service orientation"],"datePosted":"2026-04-18T15:57:14.512Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"JD from an accredited law school, Active membership in at least one U.S. state bar, Relevant legal experience in API/platform, cloud-marketplace, or tech-transactions work, Working knowledge of legal frameworks relevant to developer platforms and B2B AI products, Strong technical fluency across cloud computing, APIs, and software development, AI tools to scale legal practice, Exceptional communication skills, Empathy and strong service orientation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":265000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca38c08d-e8f"},"title":"Staff Data Scientist - Marketing Analytics","description":"<p>Join us to build the measurement and decision engine for patient growth.</p>\n<p>As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.</p>\n<p>Your job is to help Headway answer the questions that matter:</p>\n<ul>\n<li>What is truly incremental?</li>\n</ul>\n<ul>\n<li>Where should we invest next?</li>\n</ul>\n<ul>\n<li>What is driving performance shifts?</li>\n</ul>\n<ul>\n<li>How do we scale what works without fooling ourselves?</li>\n</ul>\n<p>You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.</li>\n</ul>\n<ul>\n<li>Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.</li>\n</ul>\n<ul>\n<li>Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”</li>\n</ul>\n<ul>\n<li>Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.</li>\n</ul>\n<ul>\n<li>Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.</li>\n</ul>\n<ul>\n<li>Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.</li>\n</ul>\n<ul>\n<li>Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.</li>\n</ul>\n<ul>\n<li>Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.</li>\n</ul>\n<p>What will make you successful:</p>\n<ul>\n<li>10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).</li>\n</ul>\n<ul>\n<li>Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.</li>\n</ul>\n<ul>\n<li>Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.</li>\n</ul>\n<ul>\n<li>Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.</li>\n</ul>\n<ul>\n<li>Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.</li>\n</ul>\n<ul>\n<li>Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.</li>\n</ul>\n<ul>\n<li>High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.</li>\n</ul>\n<ul>\n<li>You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.</li>\n</ul>\n<ul>\n<li>Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.</li>\n</ul>\n<ul>\n<li>Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).</li>\n</ul>\n<ul>\n<li>Experience partnering with Finance on budget allocation, payback, and scenario planning.</li>\n</ul>\n<ul>\n<li>Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.</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_ca38c08d-e8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://www.headway.com/","logo":"https://logos.yubhub.co/headway.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5751646004","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$212,000 - $265,000","x-skills-required":["data science","analytics","experimentation","marketing","growth","SQL","Python","R","causal inference","incrementality","modeling","forecasting","LTV estimation","saturation","diminishing returns","MMM concepts","calibration","monitoring"],"x-skills-preferred":["geo experiments","marketplace constraints","capacity-aware marketing optimization","acquisition quality","downstream engagement","retention","clinical matching quality","unit economics","lifecycle marketing measurement","uplift","experimentation design for messaging","budget allocation","payback","scenario planning"],"datePosted":"2026-04-18T15:57:07.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Healthcare","skills":"data science, analytics, experimentation, marketing, growth, SQL, Python, R, causal inference, incrementality, modeling, forecasting, LTV estimation, saturation, diminishing returns, MMM concepts, calibration, monitoring, geo experiments, marketplace constraints, capacity-aware marketing optimization, acquisition quality, downstream engagement, retention, clinical matching quality, unit economics, lifecycle marketing measurement, uplift, experimentation design for messaging, budget allocation, payback, scenario planning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":212000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b0c92b4-c05"},"title":"Sr. Manager, Field Engineering","description":"<p>We are looking for a dynamic Sr. Manager, Field Engineering to lead a team of Solution Architects within our Retail vertical. As a key member of our Field Engineering team, you will be responsible for helping customers in the Consumer Goods segment succeed with Databricks and providing outsized value to their businesses. You will also be responsible for maintaining a robust hiring pipeline, establishing relationships across the business, and partnering with sales leadership to hit sales and consumption targets.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Hiring, training, growing, and managing a team of Solutions Architects</li>\n<li>Making customers in the Consumer Goods segment successful with Databricks and providing outsized value to their businesses</li>\n<li>Maintaining a robust hiring pipeline at all times</li>\n<li>Establishing relationships across the business to make customers and team successful</li>\n<li>Partnering with sales leadership to hit sales and consumption targets</li>\n</ul>\n<p>The ideal candidate will have 7+ years of professional experience in the data space with a technical product, 3+ years of experience in the field, architecting and delivering data-driven solutions for major accounts within the Retail, Consumer Products, Travel &amp; Hospitality vertical, and a deep familiarity with the buy-side and supply-side ecosystem.</p>\n<p>In addition, the candidate should have demonstrated expertise with data collaboration ecosystem, 3+ years of experience building and leading technical pre-sales teams, a deep technical understanding of the impact that Data + AI can drive within the Retail industry, and trusted advisor to technical executives who guide strategic data infrastructure decisions.</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_6b0c92b4-c05","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8362888002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$192,100-$264,175 USD","x-skills-required":["data warehousing","big data","machine learning","data collaboration ecosystem","customer data platforms","clean rooms","data marketplaces"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:40.724Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data warehousing, big data, machine learning, data collaboration ecosystem, customer data platforms, clean rooms, data marketplaces","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192100,"maxValue":264175,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f418117c-d57"},"title":"Director, Engineering - Patient","description":"<p>We are looking for a Director, Engineering - Patient to lead our Patient Core Experience team. As a key member of our engineering leadership team, you will be responsible for setting the technical strategy for our core patient experience, leading three engineering managers, and scaling the org from 18 to 30+ engineers over the next 18 months. You will also co-own patient funnel metrics with your Product and Data counterparts, drive delivery of ML-powered ranking, reimagined patient onboarding, and patient activation systems, and build an engineering culture with clear standards for velocity, quality, and technical excellence.</p>\n<p>Required experience includes 10+ years of software engineering experience, 5+ years managing engineering managers, and leading engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business. You should also have scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality, and be technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces.</p>\n<p>Nice-to-have experience includes healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes, experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design), experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows), and experience rethinking team structure or hiring profiles in response to AI productivity gains.</p>\n<p>Our stack includes Python (Django/FastAPI), TypeScript/React, Elasticsearch, PostgreSQL, Redis, dbt, Snowflake, Temporal, and custom ML models. Everything runs on AWS.</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_f418117c-d57","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://www.headway.com/","logo":"https://logos.yubhub.co/headway.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5972731004","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$264,000 to $324,000","x-skills-required":["software engineering","engineering management","consumer or marketplace product","search, matching, ranking, or personalization","high-growth phase","velocity and quality","ranking/ML systems","marketplace infrastructure","consumer-facing surfaces"],"x-skills-preferred":["healthcare experience","regulated industries","marketplace dynamics","LLM-based product features","team structure","hiring profiles","AI productivity gains"],"datePosted":"2026-04-18T15:56:37.018Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"software engineering, engineering management, consumer or marketplace product, search, matching, ranking, or personalization, high-growth phase, velocity and quality, ranking/ML systems, marketplace infrastructure, consumer-facing surfaces, healthcare experience, regulated industries, marketplace dynamics, LLM-based product features, team structure, hiring profiles, AI productivity gains","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264000,"maxValue":324000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b5a4347-f37"},"title":"Sr. Machine Learning Engineer, Monetization Engineering","description":"<p>About this role:</p>\n<p>We&#39;re looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li>\n<li>Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)</li>\n<li>Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval</li>\n<li>Working in a high-impact environment with quick experimentation and product launches</li>\n<li>Keeping up with industry trends in recommendation systems</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>2+ years of industry experience applying machine learning methods</li>\n<li>Degree in computer science, statistics, or related field; or equivalent experience</li>\n<li>End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies</li>\n<li>Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>M.S. or PhD in Machine Learning or related areas</li>\n<li>Publications at top ML conferences</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n<li>Expertise in scalable real-time systems that process stream data</li>\n<li>Passion for applied ML and the Pinterest product</li>\n<li>Background in computational advertising</li>\n</ul>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance.</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_0b5a4347-f37","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/6121551","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,721-$332,012 USD","x-skills-required":["Machine Learning","Deep Learning","Data Processing Pipelines","Large-Scale Machine Learning Systems","Big Data Technologies","Recommender Systems","Ads Ranking","Retrieval","Targeting","Marketplace Systems"],"x-skills-preferred":["M.S. or PhD in Machine Learning or related areas","Publications at top ML conferences","Experience using Cursor, Copilot, Codex, or similar AI coding assistants","Familiarity with LLM-powered productivity tools","Expertise in scalable real-time systems","Passion for applied ML and the Pinterest product","Background in computational advertising"],"datePosted":"2026-04-18T15:56:06.423Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Data Processing Pipelines, Large-Scale Machine Learning Systems, Big Data Technologies, Recommender Systems, Ads Ranking, Retrieval, Targeting, Marketplace Systems, M.S. or PhD in Machine Learning or related areas, Publications at top ML conferences, Experience using Cursor, Copilot, Codex, or similar AI coding assistants, Familiarity with LLM-powered productivity tools, Expertise in scalable real-time systems, Passion for applied ML and the Pinterest product, Background in computational advertising","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189721,"maxValue":332012,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_320d2ae6-c73"},"title":"Sr. Data Science Manager - Ads Marketplace","description":"<p>We&#39;re seeking a results-oriented and strategically minded Data Science Leader to join our Ads Marketplace team. As a Senior Data Science Manager, you will lead a team of high-calibre data scientists to partner with Product, Engineering, and Sales to build a world-class, transparent, and efficient marketplace.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Inspire, lead, and grow a team of data scientists to achieve our longer-term vision</li>\n<li>Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions</li>\n<li>Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies</li>\n<li>Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals</li>\n<li>Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance</li>\n<li>Continually develop &amp; execute on a Data Science roadmap and vision for your team</li>\n<li>Stay abreast of industry best practices and emerging technologies in the field of advertising and data science</li>\n<li>Foster a culture of innovation, collaboration, and technical excellence</li>\n<li>Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>PhD or Master&#39;s degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields</li>\n<li>4+ years of management experience. Experience managing managers is a bonus</li>\n<li>Strong skills in programming (Python or R) and SQL</li>\n<li>Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving</li>\n<li>Deep understanding of Ads Marketplace</li>\n<li>Extensive experience of online experimentation and causal inference</li>\n<li>Ability to communicate &amp; discuss low-level technical topics as well as high-level strategies</li>\n<li>Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action</li>\n<li>Results-oriented with a strong customer and business focus</li>\n<li>Track-record driving product roadmap and execution with strong cross-org collaborations</li>\n<li>Ability to provide structure and tackle ambiguous and undefined problems</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Comprehensive Medical Benefits &amp; Health Care Spending Account</li>\n<li>Registered Retirement Savings Plan with matching contributions</li>\n<li>Income Replacement Programs</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</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_320d2ae6-c73","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7749131","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields","4+ years of management experience","Strong skills in programming (Python or R) and SQL","Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs)","Deep understanding of Ads Marketplace"],"x-skills-preferred":["Online experimentation and causal inference","Ability to communicate & discuss low-level technical topics as well as high-level strategies"],"datePosted":"2026-04-18T15:55:49.331Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Ontario, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields, 4+ years of management experience, Strong skills in programming (Python or R) and SQL, Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs), Deep understanding of Ads Marketplace, Online experimentation and causal inference, Ability to communicate & discuss low-level technical topics as well as high-level strategies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2500cb2e-f51"},"title":"Product Manager, EMEA","description":"<p>The Product Manager, EMEA will play a pivotal role in understanding the needs, pain points, and wants of users and translate those insights into innovative product features, capabilities, and marketing strategies. The ideal candidate will possess a deep understanding of the travel industry at a market and broader regional level, and have a proven track record of driving product innovation.</p>\n<p>A typical day for this role will involve building deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape. You will work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses. You will implement best-in-class product development and management practices, maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams, and advocate for and execute new products that deliver impact for our business and users.</p>\n<p>As the Product Manager based in our EMEA region, you will report to the Product Marketing Director for International Markets. You will be responsible for the success of Airbnb products throughout their life cycle , from concept to release. You will be the voice of our products for the market in your region and love the journey from taking a product from idea to reality.</p>\n<p>This role is based either in London or Paris (or within easy commuting distance of these cities). The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range shown below is annualized, is subject to change, and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.</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_2500cb2e-f51","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7775427","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€98.000-€123.000 EUR in France, £112,000-£140,000 GBP in the UK","x-skills-required":["product management","product development","product marketing","user research","marketplace data","competitive landscape","product vision","product strategy","product roadmap","best-in-class product development","product feature prioritization","product roadmap prioritization","new product development","impact analysis","business growth","user growth","team leadership","communication","influence","results-oriented","collaboration","data analysis","business acumen","innovation","entrepreneurship","start-up experience","global consumer products","ecosystems","product messaging","customer delivery","media delivery"],"x-skills-preferred":["Spanish","French","German","English","business analysis","financial analysis","market research","competitive analysis","product design","user experience","user interface","product development methodologies","agile development","scrum development","kanban development","lean development","design thinking","innovation methodologies","disruption","growth hacking","digital marketing","social media marketing","content marketing","email marketing","search engine optimization","paid advertising","native advertising","influencer marketing","event marketing","trade show marketing","experiential marketing","branding","positioning","reputation management","crisis management","public relations","media relations","communications planning","communications execution","communications measurement","communications evaluation"],"datePosted":"2026-04-18T15:55:45.861Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom, Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"product management, product development, product marketing, user research, marketplace data, competitive landscape, product vision, product strategy, product roadmap, best-in-class product development, product feature prioritization, product roadmap prioritization, new product development, impact analysis, business growth, user growth, team leadership, communication, influence, results-oriented, collaboration, data analysis, business acumen, innovation, entrepreneurship, start-up experience, global consumer products, ecosystems, product messaging, customer delivery, media delivery, Spanish, French, German, English, business analysis, financial analysis, market research, competitive analysis, product design, user experience, user interface, product development methodologies, agile development, scrum development, kanban development, lean development, design thinking, innovation methodologies, disruption, growth hacking, digital marketing, social media marketing, content marketing, email marketing, search engine optimization, paid advertising, native advertising, influencer marketing, event marketing, trade show marketing, experiential marketing, branding, positioning, reputation management, crisis management, public relations, media relations, communications planning, communications execution, communications measurement, communications evaluation","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":112000,"maxValue":140000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_16e0c02a-bf2"},"title":"Senior Manager, Provider Growth Marketing","description":"<p>We&#39;re looking for a strategic, data-driven, and people-minded leader to own and scale our Owned Channels engine. As the Provider Growth Marketing Senior Manager, Owned Channels, you&#39;ll lead your function across a variety of home-grown, high-intent acquisition channels including Outbound, Referrals, Affiliates, Co-Marketing, Partnerships, and more.</p>\n<p>You&#39;ll play a key role in shaping how we acquire mental health providers at scale, partnering closely with company leadership, Strategic Finance, Sales, Product, and cross-functional marketing teams to accomplish our ambitious goals.</p>\n<p>This role is ideal for a leader who can think big about long-term growth, but also dive into the details of execution, experimentation, and operational rigor. You&#39;ve built or scaled outbound motions before, thrive in cross-functional environments, and know how to unlock new channels with speed and precision.</p>\n<p>Bonus points if you&#39;ve supported new product launches or worked in product-led growth environments.</p>\n<p>You will:</p>\n<p><strong>Own Strategy &amp; Execution Across All Owned Acquisition Channels</strong></p>\n<p>Lead our Owned Channels function including Outbound, Referrals, Affiliates, Co-Marketing, Partnerships, and more to drive efficient provider acquisition</p>\n<p>Shape long-term channel strategy, set quarterly performance goals, and own execution to meet (and exceed) acquisition targets</p>\n<p>Build, refine, and scale processes that turn creative concepts, targeting strategies, and operational insights into predictable pipeline</p>\n<p><strong>Build and Evolve Outbound Engines</strong></p>\n<p>Oversee and level up our outbound motion feeding 150+ reps, improving targeting, messaging, cadences, and lead quality</p>\n<p>Partner closely with Sales leadership to ensure channel-to-team alignment and seamless handoff processes</p>\n<p>Introduce new outbound methodologies, tooling, and experimentation frameworks to unlock incremental volume</p>\n<p><strong>Unlock Growth Through Data &amp; Forecasting</strong></p>\n<p>Partner deeply with Strategic Finance and Analytics to define KPIs, build forecasting models, and align on investment frameworks</p>\n<p>Translate complex performance trends into clear decisions, prioritizing initiatives based on impact and resourcing</p>\n<p>Develop insights that improve targeting, sequencing, messaging, and channel-level efficiency</p>\n<p><strong>Lead, Mentor, and Grow a High-Performing Team of x-y reports</strong></p>\n<p>Foster a culture of accountability, clarity, experimentation, and impact</p>\n<p>Provide coaching, development paths, and day-to-day support while empowering the team to own their respective channels</p>\n<p>Operate both strategically and tactically; comfortable rolling up your sleeves when needed, especially during times of high growth or change</p>\n<p>You&#39;d be a great fit if:</p>\n<ul>\n<li>8–10+ years of experience in growth and acquisition across owned channels, ideally with significant ownership of outbound, partner, or referral channels as well as large budgets</li>\n</ul>\n<ul>\n<li>Experience leading teams and building functions, including hiring, mentoring, and establishing scalable processes.</li>\n</ul>\n<ul>\n<li>Proven track record of scaling owned or partner-driven acquisition channels with measurable business impact</li>\n</ul>\n<ul>\n<li>Strong analytical skills; comfortable working with data teams, forecasting performance, evaluating LOE/LOI tradeoffs, and making ROI-informed decisions</li>\n</ul>\n<ul>\n<li>Demonstrated ability to collaborate cross-functionally with Sales, Finance, Product, Engineering, and Leadership</li>\n</ul>\n<ul>\n<li>Experience supporting new product launches, product-led growth motions, or early funnel product experimentation is a major plus</li>\n</ul>\n<ul>\n<li>Hands-on operator with a bias toward action, able to switch seamlessly between strategy, execution, and people leadership</li>\n</ul>\n<p>Bonus points if you have:</p>\n<ul>\n<li>Built outbound engines from scratch (tooling, playbooks, segmentation, cadences) and know what great looks like</li>\n</ul>\n<ul>\n<li>Experience running or scaling referral, affiliate, or co-marketing programs</li>\n</ul>\n<ul>\n<li>Exposure to PLG environments or marketing tied closely to product workflows</li>\n</ul>\n<ul>\n<li>Experience in healthcare, B2B SaaS, or marketplaces, especially those with complex considerations and tradeoffs</li>\n</ul>\n<p>Compensation and Benefits: The expected base pay range for this position is $144,000 - $225,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.</p>\n<p>Benefits offered include:</p>\n<ul>\n<li>Equity compensation</li>\n</ul>\n<ul>\n<li>Medical, Dental, and Vision coverage</li>\n</ul>\n<ul>\n<li>HSA / FSA</li>\n</ul>\n<ul>\n<li>401K</li>\n</ul>\n<ul>\n<li>Work-from-Home Stipend</li>\n</ul>\n<ul>\n<li>Therapy Reimbursement</li>\n</ul>\n<ul>\n<li>16-week parental leave for eligible employees</li>\n</ul>\n<ul>\n<li>Carrot Fertility annual reimbursement and membership</li>\n</ul>\n<ul>\n<li>13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Employee Assistance Program (EAP)</li>\n</ul>\n<ul>\n<li>Training and professional development</li>\n</ul>\n<p>We believe a team&#39;s strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.</p>\n<p>Headway participates in E-Verify. To learn more, click here.</p>\n<p>A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.</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_16e0c02a-bf2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://headway.co/","logo":"https://logos.yubhub.co/headway.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5738720004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$144,000 - $225,000","x-skills-required":["data-driven decision-making","marketing strategy","team leadership","cross-functional collaboration","analytical skills","forecasting performance","ROI-informed decision-making"],"x-skills-preferred":["product-led growth","new product launches","early funnel product experimentation","healthcare industry knowledge","B2B SaaS experience","marketplaces experience"],"datePosted":"2026-04-18T15:54:23.735Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Healthcare","skills":"data-driven decision-making, marketing strategy, team leadership, cross-functional collaboration, analytical skills, forecasting performance, ROI-informed decision-making, product-led growth, new product launches, early funnel product experimentation, healthcare industry knowledge, B2B SaaS experience, marketplaces experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":144000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28d358d5-345"},"title":"Order Management","description":"<p><strong>About the role</strong></p>\n<p>We&#39;re seeking an experienced Order Management professional to join our International Revenue Accounting Team. In this pivotal role, you&#39;ll spearhead the development and scaling of our International order management processes while solving complex, cross-functional challenges.</p>\n<p><strong>Responsibilities:</strong></p>\n<p><strong>Core Operations &amp; Financial Management</strong></p>\n<p>Drive aspects of order management and billing operations, ensuring accuracy, completeness, and timeliness. Independently resolve complex billing scenarios, including contract modifications, usage disputes, and non-standard pricing structures. Lead comprehensive User Acceptance Testing (UAT) for new product launches and influence product introduction processes by providing expert guidance on billing and order management implications. Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, and analytics. Develop and track operational metrics to support strategic decision-making. Support global business operations and international customer requirements.</p>\n<p><strong>Strategic Partnerships &amp; Collaboration</strong></p>\n<p>Collaborate closely with other pillars of the Revenue Accounting and Operations Team, including Revenue Accounting, Technical Revenue Accounting, and AR &amp; Collections. Cultivate strategic partnerships with cross-functional teams across the Quote-to-Cash ecosystem, including GTM, Legal, Tax, Billing Engineering, and Finance Systems. Identify and implement process improvements to enhance efficiency, scalability, and overall customer experience. Partner with vendors to optimize billing systems, evaluate new features, and implement innovative solutions. Independently own the end-to-end RFP process and implementation of new systems in the order management domain, from initial requirements gathering through selection, deployment, and integration.</p>\n<p><strong>Compliance, Controls &amp; Documentation</strong></p>\n<p>Establish and maintain robust controls and segregation of duties within order management and billing operations. Support audit requirements by preparing documentation and addressing inquiries. Develop and maintain documentation for team processes and procedures.</p>\n<p><strong>You may be a good fit if you have:</strong></p>\n<p>Bachelor&#39;s degree in Accounting, Finance, or related field. 7+ years of progressive experience in Billing/Order Management within high-growth SaaS/technology companies, including 5+ years in a reviewer role. Working knowledge of ASC 606 revenue recognition principles. Expert understanding of Quote-to-Cash processes for SaaS, covering both subscription and consumption-based business models across B2B and B2C products. Extensive experience with contracting systems, billing platforms, payment processors, and ERP systems (e.g., Salesforce, Stripe, NetSuite, Oracle, Workday Financial, Zuora).</p>\n<p><strong>Strong candidates may also have:</strong></p>\n<p>Professional accounting qualification (ACA, ACCA, CIMA or equivalent). Exceptional organizational skills with meticulous attention to detail. Proactive problem-solver who can identify opportunities for process optimization. Adaptability to thrive in fast-paced, ambiguous environments. Data-driven approach to business process development; SQL and database experience a plus. Experience with third-party marketplace integrations (AWS, GCP, Azure). Proven ability to provide guidance, mentorship, and project leadership to team members and contractors.</p>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</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_28d358d5-345","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/5168144008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€140.000-€170.000 EUR","x-skills-required":["ASC 606 revenue recognition principles","Quote-to-Cash processes for SaaS","Contracting systems","Billing platforms","Payment processors","ERP systems"],"x-skills-preferred":["Professional accounting qualification","SQL and database experience","Third-party marketplace integrations"],"datePosted":"2026-04-18T15:54:07.437Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"ASC 606 revenue recognition principles, Quote-to-Cash processes for SaaS, Contracting systems, Billing platforms, Payment processors, ERP systems, Professional accounting qualification, SQL and database experience, Third-party marketplace integrations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_58a44dab-91a"},"title":"Partner Solutions Architect - Japan","description":"<p>We&#39;re looking for a Partner Solutions Architect to join the Field Engineering team and help scale dbt&#39;s partner go-to-market motion across Japan. This role is focused on building technical and commercial momentum with both consulting and technology partners.</p>\n<p>You will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud.</p>\n<p>Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing. This is not a purely reactive enablement role. The Partner SA is expected to help shape and execute repeatable partner plays that create revenue.</p>\n<p>That includes enabling partner sellers and architects, supporting account mapping and seller-to-seller engagement, helping define joint value propositions, supporting partner-led pipeline generation, and influencing product and field strategy based on what is learned in-market.</p>\n<p>Internal operating docs show this motion consistently includes enablement sessions, QBR sponsorships, account planning, workshops, field events, and targeted campaigns designed to produce sourced and influenced pipeline.</p>\n<p>You&#39;ll be part of a team helping dbt scale its ecosystem through better partner capability, tighter field alignment, and more repeatable pipeline generation. The role is especially important as dbt continues investing in structured partner motions and deeper engagement with major cloud and data platform partners.</p>\n<p>What you&#39;ll do:</p>\n<ul>\n<li>Partner closely with Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.</li>\n</ul>\n<ul>\n<li>Build trusted technical relationships with partner architects, sellers, and practice leaders</li>\n</ul>\n<ul>\n<li>Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness</li>\n</ul>\n<ul>\n<li>Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline</li>\n</ul>\n<ul>\n<li>Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption</li>\n</ul>\n<ul>\n<li>Support 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Scale","description":"<p>As a Scale Ecosystem Sales Manager - AMER, you&#39;ll fuel GitLab&#39;s growth by turning our emerging partner ecosystem into a consistent, scalable source of new customers.</p>\n<p>You&#39;ll focus on partner-sourced Scale pipeline generation, designing and running repeatable partner-led campaigns, systematic account mapping, and whitespace analysis that surface new logo opportunities for GitLab.</p>\n<p>In this role, you&#39;ll work closely with Scale Account Executives, Field Marketing, regional sales leadership, and partners such as distributors, longtail resellers, and hyperscalers like AWS and Google Cloud to integrate partners throughout the sales cycle and accelerate marketplace transactions.</p>\n<p>You&#39;ll own programmatic partner engagement across your territory, from partner enablement and activation at scale to event-driven strategies and 1:many campaigns via partner portals and automated systems.</p>\n<p>Your work will directly support 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You will synthesize partner feedback and market insight and bring it to Product and Engineering to inform the roadmap. You will help internal stakeholders understand the commercial opportunity and strategic importance of the categories you own.</p>\n<p>The ideal candidate will have:</p>\n<ul>\n<li>12+ years of experience in business development, strategic partnerships, or a related field, with a track record of independently owning and closing complex, multi-stakeholder deals</li>\n<li>Experience building new partnership categories or programs from scratch, including defining strategy, recruiting early partners, and developing commercial frameworks</li>\n<li>Demonstrated ability to develop and execute partnership strategy, not just manage inbound opportunities</li>\n<li>Strong commercial instincts and experience structuring and negotiating deals with diverse partner types, from large enterprise platforms to individual service providers</li>\n<li>Comfortable operating in ambiguous, fast-moving environments with limited precedent; able to make sound decisions with incomplete information</li>\n<li>Experience working cross-functionally with Product, Engineering, Finance, and Legal to align on strategy and move deals forward</li>\n<li>Exceptional communication and influence skills; able to develop a compelling point of view and bring senior stakeholders along</li>\n<li>Experience in travel, marketplace, or consumer technology is a plus</li>\n<li>Bachelor&#39;s degree or equivalent</li>\n</ul>\n<p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states.</p>\n<p>Our Commitment To Inclusion &amp; Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.</p>\n<p>How We&#39;ll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $204,000-$255,000 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_0d2cc958-e22","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7812272","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$204,000-$255,000 USD","x-skills-required":["Business Development","Strategic Partnerships","Deal Execution","Commercial Frameworks","Negotiation","Cross-Functional Collaboration","Communication","Influence","Travel Industry","Marketplace","Consumer Technology"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:51.920Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Business Development, Strategic Partnerships, Deal Execution, Commercial Frameworks, Negotiation, Cross-Functional Collaboration, Communication, Influence, Travel Industry, Marketplace, Consumer Technology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":204000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3168d7d3-70b"},"title":"Partner Solutions Architect - North America","description":"<p>About Us</p>\n<p>We&#39;re looking for a Partner Solutions Architect to join the Field Engineering team and help scale dbt&#39;s partner go-to-market motion across North America. 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workflows, transformation, orchestration, governance, metadata"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_779cd718-611"},"title":"Principal Data Scientist, Ads","description":"<p>We&#39;re seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform.</p>\n<p>In this pivotal leadership role, you will define and implement the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning, and other quantitative methods to optimize Reddit&#39;s Ads marketplace.</p>\n<p>As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Defining the future of Ads Data Science and owning the design and long-term evolution of our 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statistical programming (Python or R) and SQL</li>\n<li>Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques</li>\n<li>Strong understanding of experimental design, causal inference, or A/B testing methodologies</li>\n</ul>\n<p>Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health &amp; coaching benefits, flexible vacation &amp; paid volunteer time off, and generous paid parental leave.</p>\n<p>The base salary range for this position is $268,000-$365,100 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale, statistical programming (Python or R), SQL, statistical analysis, economic modeling, foundational machine learning, optimization techniques, experimental design, causal inference, A/B testing methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":268000,"maxValue":365100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8a4223c5-8fd"},"title":"Sr. Data Science Manager - Ads Marketplace","description":"<p>We&#39;re seeking a results-oriented and strategically minded Data Science Leader to work with our Ads Marketplace teams. As a Senior Data Science Manager, you will lead a team of high-calibre data scientists to partner with Product, Engineering, and Sales to build a world-class, transparent, and efficient marketplace.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Inspire, lead, and grow a team of data scientists to achieve our longer-term vision</li>\n<li>Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions</li>\n<li>Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies</li>\n<li>Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals</li>\n<li>Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance</li>\n<li>Continually develop &amp; execute on a Data Science roadmap and vision for your team</li>\n<li>Stay abreast of industry best practices and emerging technologies in the field of advertising and data science</li>\n<li>Foster a culture of innovation, collaboration, and technical excellence</li>\n<li>Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>PhD or Master&#39;s degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields</li>\n<li>4+ years of management experience. Experience managing managers is a bonus</li>\n<li>Strong skills in programming (Python or R) and SQL</li>\n<li>Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving</li>\n<li>Deep understanding of Ads Marketplace</li>\n<li>Extensive experience of online experimentation and causal inference</li>\n<li>Ability to communicate &amp; discuss low-level technical topics as well as high-level strategies</li>\n<li>Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action</li>\n<li>Results-oriented with a strong customer and business focus</li>\n<li>Track-record driving product roadmap and execution with strong cross-org collaborations</li>\n<li>Ability to provide structure and tackle ambiguous and undefined problems</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</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_8a4223c5-8fd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7749073","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$232,500-$325,500 USD","x-skills-required":["PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields","4+ years of management experience","Strong skills in programming (Python or R) and SQL","Experience in leveraging AI-assisted development tools","Deep understanding of Ads Marketplace","Extensive experience of online experimentation and causal inference"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:46:35.277Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields, 4+ years of management experience, Strong skills in programming (Python or R) and SQL, Experience in leveraging AI-assisted development tools, Deep understanding of Ads Marketplace, Extensive experience of online experimentation and causal inference","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":232500,"maxValue":325500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_087e2e06-4fb"},"title":"Staff Machine Learning Engineer, Ads Auction (Ads Marketplace Quality)","description":"<p>We&#39;re looking for a Staff Machine Learning Engineer to join our Ads Marketplace Quality team. As a key member of the team, you will be responsible for developing and executing a vision to improve our Ads Marketplace at Reddit. You will develop a deep understanding of our marketplace dynamics and identify areas of improvement by getting to the bottom of data, design, implement and ship algorithms to production that improve our ads marketplace efficiency.</p>\n<p>In this role, you will specialize in improving and optimizing our ads auction and pricing mechanism which will have a direct impact on upleveling the utility for both our advertiser and user values. You will also have the opportunity to work on other org-wide strategic initiatives such as supply optimization and ad relevance, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that shows the right ads to the right users at the right time in the right context.</p>\n<p>As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in ads marketplace dynamics, auction and pricing, you will research, formulate, and execute on our mission to build end-to-end algorithmic solutions and deliver values to all the three-sided participants to our marketplace.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing.</li>\n<li>Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.</li>\n<li>Oversee end-to-end ML workflows,from data ingestion and feature engineering to model training, evaluation, and deployment,that optimizes the ads marketplace efficiency.</li>\n<li>Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.</li>\n<li>Be a cross-functional advocate for the team, collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales etc.) to innovate and build products.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale.</li>\n<li>Strong knowledge of ads marketplace optimization. Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms.</li>\n<li>Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).</li>\n<li>Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference.</li>\n<li>Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.</li>\n<li>Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal).</li>\n<li>Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for ads marketplace optimization.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits</li>\n<li>401k Matching</li>\n<li>Workspace benefits for your home office</li>\n<li>Personal &amp; Professional development funds</li>\n<li>Family Planning Support</li>\n<li>Flexible Vacation (please use them!) &amp; Reddit Global Wellness Days</li>\n<li>4+ months paid Parental Leave</li>\n<li>Paid Volunteer time off</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_087e2e06-4fb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7181821","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$230,000-$322,000 USD","x-skills-required":["machine learning","ads marketplace optimization","large-scale data processing","distributed computing","data infrastructure","Spark","Kafka","Beam","Flink","TensorFlow","PyTorch","feature engineering","model training","inference","programming languages","statistical analysis","technical leadership","cross-functional settings","architectural decisions","influencing stakeholders"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:45:11.272Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, ads marketplace optimization, large-scale data processing, distributed computing, data infrastructure, Spark, Kafka, Beam, Flink, TensorFlow, PyTorch, feature engineering, model training, inference, programming languages, statistical analysis, technical leadership, cross-functional settings, architectural decisions, influencing stakeholders","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":322000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b81a8029-292"},"title":"Product Counsel, Claude Platform","description":"<p>As Product Counsel for the Claude Platform, you will be the dedicated legal partner for Anthropic&#39;s Developer Platform and API, the Model Context Protocol and developer ecosystem, the Agent API and Managed Agents, third-party cloud distribution (such as Amazon Bedrock and Google Vertex), tiered-access and trust-and-safety programs, identity verification, and Skills marketplace licensing.</p>\n<p>You will tackle novel legal questions at the intersection of developer tooling, enterprise readiness, and cloud-partner distribution, and help establish the terms, policies, and frameworks that let developers build safely on Claude.</p>\n<p>Responsibilities:</p>\n<p>Partner with Platform PM, API Engineering, Cloud Partnerships, and Commercial Legal to provide pragmatic legal guidance across the API, developer ecosystem, and cloud-distribution product lifecycle</p>\n<p>Draft and negotiate developer-facing terms (API ToS, acceptable-use policies, developer agreements), cloud-partner distribution terms, and enterprise order-form exhibits, collaborating with Commercial Legal on co-sell mechanics</p>\n<p>Advise on API product features, tiered-access programs (TAP/ZDR), KYC/IDV requirements, and Cowork enterprise-readiness initiatives, balancing velocity with legal and contractual compliance</p>\n<p>Support incident response and escalations related to API misuse, developer policy violations, and cloud-partner compliance issues</p>\n<p>You may be a good fit if you have:</p>\n<p>A JD from an accredited law school and active membership in at least one U.S. state bar</p>\n<p>At least 8 years of relevant legal experience, with meaningful experience in API/platform, cloud-marketplace, or tech-transactions work, either in-house at a technology company or at a law firm with a strong technology practice</p>\n<p>Working knowledge of legal frameworks relevant to developer platforms and B2B AI products, such as data-processing agreements, API/developer terms, cloud-distribution licensing, and emerging AI governance frameworks</p>\n<p>Strong technical fluency across cloud computing, APIs, and software development, with ability to quickly grasp AI/ML infrastructure concepts</p>\n<p>Experience thriving in fast-paced environments, with comfort navigating ambiguity and pivoting quickly as priorities shift</p>\n<p>A proactive &#39;doer&#39; mindset with ability to identify problems, propose solutions, and execute with minimal supervision</p>\n<p>Used AI tools to scale your legal practice or a strong interest in learning to do so</p>\n<p>Exceptional communication skills to translate complex legal concepts for non-lawyer audiences</p>\n<p>Empathy and strong service orientation, with the ability to listen actively and help achieve organisational goals</p>\n<p>Strong candidates may have:</p>\n<p>In-house platform or API counsel experience at a cloud/SaaS company</p>\n<p>Experience structuring developer terms, marketplace licensing, or enterprise data-processing agreements</p>\n<p>Experience with cloud-marketplace distribution (e.g., AWS Marketplace / Bedrock, GCP / Vertex, Azure) or developer-platform go-to-market, including order-form mechanics and co-sell structures</p>\n<p>Application Deadline: 4pm PT on May 4, 2026. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.</p>\n<p>Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.</p>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;s On Target Earnings (&#39;OTE&#39;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary:</p>\n<p>$265,000-$320,000 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_b81a8029-292","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/5191775008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$265,000-$320,000 USD","x-skills-required":["JD from an accredited law school","Active membership in at least one U.S. state bar","Relevant legal experience in API/platform, cloud-marketplace, or tech-transactions work","Working knowledge of legal frameworks relevant to developer platforms and B2B AI products","Strong technical fluency across cloud computing, APIs, and software development"],"x-skills-preferred":["AI tools to scale legal practice","Exceptional communication skills","Empathy and strong service orientation"],"datePosted":"2026-04-18T15:43:22.262Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"JD from an accredited law school, Active membership in at least one U.S. state bar, Relevant legal experience in API/platform, cloud-marketplace, or tech-transactions work, Working knowledge of legal frameworks relevant to developer platforms and B2B AI products, Strong technical fluency across cloud computing, APIs, and software development, AI tools to scale legal practice, Exceptional communication skills, Empathy and strong service orientation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":265000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b8946219-ba7"},"title":"Order Management","description":"<p>We&#39;re seeking an experienced Order Management professional to join our International Revenue Accounting Team. In this pivotal role, you&#39;ll spearhead the development and scaling of our International order management processes while solving complex, cross-functional challenges.</p>\n<p>You&#39;ll collaborate across the organization to drive critical financial infrastructure improvements. If you&#39;re passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting-edge, safe AI systems.</p>\n<p><strong>Core Operations &amp; Financial Management</strong> Drive aspects of order management and billing operations, ensuring accuracy, completeness, and timeliness. Independently resolve complex billing scenarios, including contract modifications, usage disputes, and non-standard pricing structures. Lead comprehensive User Acceptance Testing (UAT) for new product launches and influence product introduction processes by providing expert guidance on billing and order management implications. Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, and analytics. Develop and track operational metrics to support strategic decision-making. Support global business operations and international customer requirements</p>\n<p><strong>Strategic Partnerships &amp; Collaboration</strong> Collaborate closely with other pillars of the Revenue Accounting and Operations Team, including Revenue Accounting, Technical Revenue Accounting, and AR &amp; Collections. Cultivate strategic partnerships with cross-functional teams across the Quote-to-Cash ecosystem, including GTM, Legal, Tax, Billing Engineering, and Finance Systems. Process &amp; System Optimization Identify and implement process improvements to enhance efficiency, scalability, and overall customer experience. Partner with vendors to optimize billing systems, evaluate new features, and implement innovative solutions. Independently own the end-to-end RFP process and implementation of new systems in the order management domain, from initial requirements gathering through selection, deployment, and integration</p>\n<p><strong>Compliance, Controls &amp; Documentation</strong> Establish and maintain robust controls and segregation of duties within order management and billing operations. Support audit requirements by preparing documentation and addressing inquiries. Develop and maintain documentation for team processes and procedures</p>\n<p>You may be a good fit if you have: Bachelor&#39;s degree in Accounting, Finance, or related field 7+ years of progressive experience in Billing/Order Management within high-growth SaaS/technology companies, including 5+ years in a reviewer role Working knowledge of ASC 606 revenue recognition principles. Expert understanding of Quote-to-Cash processes for SaaS, covering both subscription and consumption-based business models across B2B and B2C products Extensive experience with contracting systems, billing platforms, payment processors, and ERP systems (e.g., Salesforce, Stripe, NetSuite, Oracle, Workday Financial, Zuora) Proven track record leading large-scale strategic initiatives end-to-end, in high growth technology environments Outstanding communication and interpersonal skills Demonstrated ability to build relationships with diverse stakeholders and influence without direct authority</p>\n<p>Strong candidates may also have: Professional accounting qualification (ACA, ACCA, CIMA or equivalent) Exceptional organizational skills with meticulous attention to detail Proactive problem-solver who can identify opportunities for process optimization Adaptability to thrive in fast-paced, ambiguous environments Data-driven approach to business process development; SQL and database experience a plus Experience with third-party marketplace integrations (AWS, GCP, Azure) Proven ability to provide guidance, mentorship, and project leadership to team members and contractors</p>\n<p>The annual compensation range for this role is €140,000-€170,000 EUR.</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_b8946219-ba7","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/5168144008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€140,000-€170,000 EUR","x-skills-required":["ASC 606 revenue recognition principles","Quote-to-Cash processes for SaaS","Contracting systems","Billing platforms","Payment processors","ERP systems"],"x-skills-preferred":["Professional accounting qualification","SQL and database experience","Third-party marketplace integrations"],"datePosted":"2026-04-18T15:41:26.734Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"ASC 606 revenue recognition principles, Quote-to-Cash processes for SaaS, Contracting systems, Billing platforms, Payment processors, ERP systems, Professional accounting qualification, SQL and database experience, Third-party marketplace integrations","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cece3778-5b8"},"title":"Finance Systems Integration Engineer","description":"<p>We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You&#39;ll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives.</p>\n<p>As you master our integration landscape, you&#39;ll have opportunities to expand into Claude-powered AI automation and data pipeline development.</p>\n<p>You&#39;ll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you&#39;ll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Core Focus: Integration Development &amp; ERP Support</strong></p>\n<ul>\n<li>Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions</li>\n</ul>\n<ul>\n<li>Support integration development and testing during the ERP implementation projects</li>\n</ul>\n<ul>\n<li>Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication</li>\n</ul>\n<ul>\n<li>Implement real-time and batch integration patterns supporting high-volume financial transactions</li>\n</ul>\n<ul>\n<li>Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity</li>\n</ul>\n<ul>\n<li>Document integration architectures, data flows, API specifications, and troubleshooting procedures</li>\n</ul>\n<ul>\n<li>Collaborate with implementation consulting partners and vendors on technical integration requirements</li>\n</ul>\n<p><strong>Additional Scope: AI Automation &amp; Data Infrastructure</strong></p>\n<ul>\n<li>Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting</li>\n</ul>\n<ul>\n<li>Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes</li>\n</ul>\n<ul>\n<li>Create automated validation and quality assurance processes for AI-generated outputs</li>\n</ul>\n<ul>\n<li>Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions</li>\n</ul>\n<ul>\n<li>Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation</li>\n</ul>\n<ul>\n<li>Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting</li>\n</ul>\n<ul>\n<li>Implement data quality checks and testing frameworks for financial data pipelines</li>\n</ul>\n<ul>\n<li>Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring</li>\n</ul>\n<ul>\n<li>Support executive dashboards and financial analytics by ensuring timely, accurate data delivery</li>\n</ul>\n<p><strong>Governance &amp; Collaboration</strong></p>\n<ul>\n<li>Maintain comprehensive documentation for integrations, AI agents, and data pipelines</li>\n</ul>\n<ul>\n<li>Support internal and external audits with technical evidence and system access reviews</li>\n</ul>\n<ul>\n<li>Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests</li>\n</ul>\n<ul>\n<li>Partner with Finance Operations, Accounting, FP&amp;A, Engineering, and Data Infrastructure teams to deliver holistic solutions</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of experience in integration development, data engineering, or systems engineering roles</li>\n</ul>\n<ul>\n<li>Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools</li>\n</ul>\n<ul>\n<li>Strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts</li>\n</ul>\n<ul>\n<li>Experience with data pipeline tools including Airflow for orchestration and dbt for transformation</li>\n</ul>\n<ul>\n<li>Working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks</li>\n</ul>\n<ul>\n<li>Understanding of REST API design patterns, webhooks, OAuth 2.0, and modern integration 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Japanese language proficiency preferred.</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_d6b68f63-a9b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Yubico","sameAs":"https://www.yubico.com/","logo":"https://logos.yubhub.co/yubico.com.png"},"x-apply-url":"https://jobs.lever.co/yubico/abf2d8ab-0630-484e-87e4-e80a46259b2c","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["field marketing","channel sales","channel partners","marketing strategy","salesforce.com","marketplace","wordpress"],"x-skills-preferred":["cybersecurity industry experience","Japanese language proficiency"],"datePosted":"2026-04-17T13:10:06.024Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"field marketing, channel sales, channel partners, marketing strategy, salesforce.com, marketplace, wordpress, cybersecurity industry experience, Japanese language proficiency"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aed62813-195"},"title":"Director, UX","description":"<p>We are seeking a Director of UX to lead the design vision, customer research, and end-to-end product experience across iOS, Android, and web. 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You will be instrumental in leading in-depth product discussions with existing and prospect users globally – and building and executing against our go-to-market strategy.</p>\n<p>Responsibilities\nDrive new business and revenue growth by selling our solutions to a variety of marketplace businesses\nLead complex new and expansion deals related to Stripe’s product offerings, capabilities, and tailored solutions\nDeeply understand the sales process and what competitors offer, with a strong emphasis to overcoming competition to win all deals\nSynthesize and relay customer feedback and findings to inform Stripe’s product roadmap\nEngage with Product, Marketing and Account teams to help amplify our growth trajectory globally</p>\n<p>Who you are\nWe&#39;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. 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We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.</p>\n<p>As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world&#39;s most strategic technology and consulting landscapes.</p>\n<p><strong>Make Every Decision Count with Context</strong></p>\n<p><strong>The opportunity.</strong></p>\n<p>Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.</p>\n<p>This role will include:</p>\n<ul>\n<li>Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue 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with our broad range of benefits.</p>\n<p>We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.</p>\n<p>We offer:</p>\n<p>Competitive salary Company bonus Flexible working hours in a hybrid workplace &amp; free access to global WeWork locations &amp; events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health &amp; Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts Team&#39;s Social Budget &amp; Company-wide Summer &amp; Winter Parties Tech &amp; Cycle-to-Work Schemes Volunteer Day off Dog-friendly Offices</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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As the BI Manager (Commercial), you will be the technical lead and dedicated strategic partner to our Commercial Sales and Programmatic Advertising teams.</p>\n<p>This is a hands-on role where you will architect and build the technical solutions that provide insights and help to monetise the massive global audience engagement across our brand portfolio. You will balance deep technical execution with the leadership of a team of analysts, ensuring that the &#39;Commercial Spoke&#39; of our BI function is both technically excellent and commercially impactful.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Be a lead developer for the Commercial BI team. You will oversee the technical delivery of BI solutions, including writing complex SQL queries, managing data transformations in Dataform, and architecting data models in Looker.</li>\n</ul>\n<ul>\n<li>Collaborate with other teams within the Data &amp; BI department, specifically Data Engineering and Analytics Engineering, to co-develop data products. You will influence upstream requirements and pipeline design to provide a unified, performant view of commercial performance.</li>\n</ul>\n<ul>\n<li>Be a primary technical advisor for the Commercial division. You will work with stakeholders to translate commercial questions into technical requirements.</li>\n</ul>\n<ul>\n<li>Develop and maintain high-value strategic data assets. You will integrate data from Order Management Systems (OMS) and Customer Relationship Management (CRM) systems with digital advertising data (Programmatic, Direct Sales) to create a unified view of commercial performance.</li>\n</ul>\n<ul>\n<li>Ensure excellence within the BigQuery and Looker stack. You will personally implement best practices for platform governance, scalability, and the use of latest technologies like conversational analytics.</li>\n</ul>\n<p><strong>Experience that will put you ahead of the curve</strong></p>\n<ul>\n<li>You are an expert in SQL and have experience building production-grade data models within BigQuery, Dataform and Looker (or equivalent tools).</li>\n</ul>\n<ul>\n<li>Deep technical understanding of digital advertising data structures, including real-time bidding, private marketplaces (PMP), and first-party sales metrics. You understand how to turn audience engagement into commercial insight.</li>\n</ul>\n<ul>\n<li>Track record in a senior or lead BI role where you have remained hands-on with technical delivery while managing or mentoring others.</li>\n</ul>\n<ul>\n<li>The ability to translate complex business logic into efficient, scalable code. You value data observability and reliability as much as the final visualisation.</li>\n</ul>\n<p><strong>What&#39;s in it for you</strong></p>\n<p>The expected range for this role is up to £65,000.</p>\n<p>This is a Hybrid role from our Bath 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</ul>\n<ul>\n<li>When we hit our targets, enjoy a share of our profits with a bonus</li>\n</ul>\n<ul>\n<li>Refer a friend and get rewarded when they join Future</li>\n</ul>\n<ul>\n<li>Well-being support with access to our Colleague Assistant Programmes</li>\n</ul>\n<ul>\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><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>#LI-Hybrid</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_d847b84f-cc6","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/FBCA1D5572","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"up to £65,000","x-skills-required":["SQL","BigQuery","Dataform","Looker","digital advertising data structures","real-time bidding","private marketplaces","first-party sales metrics"],"x-skills-preferred":[],"datePosted":"2026-03-09T16:21:27.687Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, BigQuery, Dataform, Looker, digital advertising data structures, real-time bidding, private marketplaces, first-party sales metrics","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":65000,"maxValue":65000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e6b14aef-502"},"title":"Principal Product Manager","description":"<p><strong>Role Overview</strong></p>\n<p>Connexity is seeking a Principal Product Manager to lead the development and strategic direction of our pricing architecture. This is a director-level individual contributor role focused on revenue critical backend pricing infrastructure.</p>\n<p><strong>Core Responsibilities</strong></p>\n<p><strong>Automation &amp; Machine Learning</strong></p>\n<p>The successful candidate will be responsible for the evolution and modernisation of manually configured tools for valuing publisher traffic with a focus on automation and introduction of ML and AI technologies. This will involve allocating approximately 40%-50% of resources to integrating ML/AI models into the pricing logic, with the objective of increasing pricing accuracy and eliminating the need for manual overrides and legacy configurations.</p>\n<p><strong>Architectural Strategy</strong></p>\n<p>The candidate will evaluate the current pricing framework and design the next-generation services required to support emerging campaign types, including Sponsorships and hybrid performance models.</p>\n<p><strong>Platform Ownership</strong></p>\n<p>As the primary owner for the pricing roadmap, the candidate will collaborate with Engineering and our analyst to define the most impactful requirements for data ingestion, enrichment, and storage layers. 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Familiarity with modern data stacks (e.g., BigQuery) is required.</li>\n<li>Commercial Logic: A deep understanding of how pricing algorithms influence merchant ROAS, publisher yield, and overall marketplace health.</li>\n<li>Independent Execution: Proven ability to manage a complex roadmap and drive cross-functional alignment without the need for a dedicated team of junior product managers.</li>\n<li>Problem Solving: Demonstrated ability to resolve complex data dependencies and conflicting business requirements through rigorous analysis.</li>\n<li>Languages: Fluent in English &amp; German</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Connexity offers a family-friendly environment, flexible working hours and hybrid model for a good work-life balance, modern offices with an ergonomic workplace, and pleasant feel-good extras for everyday life. We also offer participation in the form of shares and more about our benefits on Kununu.</p>\n<p><strong>Culture</strong></p>\n<p>We are committed to providing a culture at Connexity that supports the diversity, equity and inclusion of our most valuable asset, our people. 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You’ll be responsible for translating ambiguity into clear standards, repeatable practices, and decision frameworks that enable cross-functional teams to operate consistently with high integrity in dynamic, product-driven environments.\\n\\n## In this role, you will:\\n\\n- Lead financial readiness assessments for new product launches, ensuring all subscription, commerce, and ads monetization flows have built-in controls and automated reconciliation.\\n\\n- Define and operationalize SOX/ICFR readiness frameworks (standards, playbooks, templates, governance forums, and review cadences) that scale with business growth and complexity.\\n\\n- Drive large-scale transformation initiatives to modernize revenue accounting, billing systems, and cash-flow reporting.\\n\\n- Establish clear control expectations, metrics, and checkpoints across end-to-end revenue lifecycles.\\n\\n- Drive risk assessments and control rationalization (what matters most, where to automate, where to simplify), using data and business context to focus effort on highest-impact reporting risks.\\n\\n- Identify and mitigate financial risks within the &quot;Quote-to-Cash&quot; 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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 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_5a9d5688-a27","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/5125290008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000 - $230,000USD","x-skills-required":["ASC 606 revenue recognition principles","Quote-to-Cash processes for SaaS","Contracting systems","Billing platforms","Payment processors","ERP systems","SQL and database experience","Third-party marketplace integrations"],"x-skills-preferred":["Exceptional organisational skills","Proactive problem-solver","Adaptability","Data-driven approach to business process development","Experience with third-party marketplace integrations"],"datePosted":"2026-03-08T13:44:06.365Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"ASC 606 revenue recognition principles, Quote-to-Cash processes for SaaS, Contracting systems, Billing platforms, Payment processors, ERP systems, SQL and database experience, Third-party marketplace integrations, Exceptional organisational skills, Proactive problem-solver, Adaptability, Data-driven approach to business process development, Experience with third-party marketplace integrations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_59f199f3-be1"},"title":"IC Strategic AE","description":"<p><strong>About the role</strong></p>\n<p>You&#39;ll be an IC Strategic Account Executive selling Cursor into consumer-facing enterprises where engineering velocity impacts revenue and customer experience (ecommerce, marketplaces, hospitality platforms, media/streaming, entertainment brands). 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If so, please include their email here</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_59f199f3-be1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cursor","sameAs":"https://cursor.com","logo":"https://logos.yubhub.co/cursor.com.png"},"x-apply-url":"https://cursor.com/careers/enterprise-account-executive-strategic-sales-retail-hospitality-entertainment","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Cursor","consumer-facing enterprises","engineering velocity","customer experience","ecommerce","marketplaces","hospitality platforms","media/streaming","entertainment brands","product engineering","DevEx","Security","Procurement","account planning","outbound prospecting","creative sourcing","relentless follow-up"],"x-skills-preferred":[],"datePosted":"2026-03-08T00:17:00.920Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Cursor, consumer-facing enterprises, engineering velocity, customer experience, ecommerce, marketplaces, hospitality platforms, media/streaming, entertainment brands, product engineering, DevEx, Security, Procurement, account planning, outbound prospecting, creative sourcing, relentless follow-up"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2b299835-d2e"},"title":"Senior Partner Marketing Manager","description":"<p>As a Senior Partner Marketing Manager at Replit, you&#39;ll lead the strategy and execution of our partner marketing initiatives across product, channel, and growth partnerships. 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You will help define the accounting posture and operational approach for new and changing revenue streams, and partner across teams to ensure we maintain strong controllership standards as we scale.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Serve as the primary revenue advisor for new product launches, pricing changes, and evolving monetization models, establishing scalable ASC 606 positions where precedent does not yet exist.</li>\n</ul>\n<ul>\n<li>Translate technical conclusions into practical guardrails that influence product design, deal structure, and go-to-market strategy.</li>\n</ul>\n<ul>\n<li>Partner closely with Growth, GTM, StratFin, Legal, and Deal Desk to proactively embed revenue considerations into contract negotiations and product development.</li>\n</ul>\n<ul>\n<li>Draft and maintain technical accounting memos and policies to document positions on complex arrangements under ASC 606.</li>\n</ul>\n<ul>\n<li>Collaborate with Finance Systems and Engineering teams to drive automation initiatives for contract intake, SSP allocation, and 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The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings — overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Product, Engineering, and Go-To-Market teams to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.</p>\n<p><strong>About the Role</strong></p>\n<p>As the Ads Accounting Senior Manager, you will own the accounting and controllership for OpenAI’s advertising products. This includes end-to-end responsibility for revenue recognition, close, controls, and reporting for Ads — spanning measurement logic, rev-share structures, incentives, and emerging monetization models.</p>\n<p>You’ll work closely with Product, Engineering, Technical Accounting, GTM, Tax, and other key stakeholders to ensure Ads monetization is designed and operationalized in a way that is compliant, scalable, and decision-useful in a rapidly evolving product environment.</p>\n<p>Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own end-to-end accounting and controllership for Ads, including revenue recognition, contra-revenue, rev-share, incentives, and related accruals, in accordance with ASC 606.</li>\n</ul>\n<ul>\n<li>Lead month-end and quarter-end close for Ads, ensuring accurate, complete, and timely reporting supported by robust reconciliations and flux analysis.</li>\n</ul>\n<ul>\n<li>Serve as the primary accounting partner for Ads monetization, supporting new product launches, pricing changes, and monetization experiments from design through steady-state operations.</li>\n</ul>\n<ul>\n<li>Translate complex commercial and contractual terms into operational accounting workflows, partnering with Technical Revenue Accounting to ensure policy alignment and scalable execution.</li>\n</ul>\n<ul>\n<li>Design, implement, and maintain SOX-compliant controls across Ads revenue measurement, recognition, and reporting.</li>\n</ul>\n<ul>\n<li>Collaborate with Product and Engineering to define, validate, and audit Ads measurement logic (e.g., impressions, clicks, usage, rev-share), ensuring underlying data pipelines are reliable, reconcilable, and scalable.</li>\n</ul>\n<ul>\n<li>Support and influence system implementations and enhancements, including Oracle Fusion, data warehouses, and 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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> OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings — overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Product, Engineering, and Go-To-Market teams to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.</p>\n<p><strong>About the Role</strong> As the Ads Revenue Accounting Lead, you will own the accounting and controllership for OpenAI’s advertising products. This includes end-to-end responsibility for revenue recognition, close, controls, and reporting for Ads — spanning measurement logic, rev-share structures, incentives, and emerging monetization models.</p>\n<p>You’ll work closely with Product, Engineering, Technical Accounting, GTM, Tax, and other key stakeholders to ensure Ads monetization is designed and operationalized in a way that is compliant, scalable, and decision-useful in a rapidly evolving product environment.</p>\n<p>Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>You’ll be responsible for:</strong></p>\n<ul>\n<li>Own end-to-end accounting and controllership for Ads, including revenue recognition, contra-revenue, rev-share, incentives, and related accruals, in accordance with ASC 606.</li>\n</ul>\n<ul>\n<li>Lead month-end and quarter-end close for Ads, ensuring accurate, complete, and timely reporting supported by robust reconciliations and flux analysis.</li>\n</ul>\n<ul>\n<li>Serve as the primary accounting partner for Ads monetization, supporting new product launches, pricing changes, and monetization experiments from design through steady-state operations.</li>\n</ul>\n<ul>\n<li>Translate complex commercial and contractual terms into operational accounting workflows, partnering with Technical Revenue Accounting to ensure policy alignment and scalable execution.</li>\n</ul>\n<ul>\n<li>Design, implement, and maintain SOX-compliant controls across Ads revenue measurement, recognition, and reporting.</li>\n</ul>\n<ul>\n<li>Collaborate with Product and Engineering to define, validate, and audit Ads measurement logic (e.g., impressions, clicks, usage, rev-share), ensuring underlying data pipelines are reliable, reconcilable, and scalable.</li>\n</ul>\n<ul>\n<li>Support and influence system implementations and enhancements, including Oracle Fusion, data warehouses, and Ads or billing integrations, with a focus on accounting integrity and auditability.</li>\n</ul>\n<ul>\n<li>Act as the accounting DRI for Ads in cross-functional forums, providing clear guidance, proactively flagging risks, and driving timely, well-reasoned decisions.</li>\n</ul>\n<ul>\n<li>Lead and support internal and external audits related to Ads, including documentation, walkthroughs, issue resolution, and remediation of findings.</li>\n</ul>\n<ul>\n<li>Contribute to broader revenue accounting initiatives, including automation, tooling, and process improvements that improve speed, quality, and scalability.</li>\n</ul>\n<p><strong>We’re looking for someone with:</strong></p>\n<ul>\n<li>10+ years of progressive accounting experience, including revenue accounting in a public company or late-stage private company.</li>\n</ul>\n<ul>\n<li>A CPA (or equivalent) with a strong command of ASC 606.</li>\n</ul>\n<ul>\n<li>Experience owning or supporting advertising revenue models, marketplace economics, and revenue-share arrangements, including complex measurement and data dependencies.</li>\n</ul>\n<ul>\n<li>Deep understanding of the order-to-cash lifecycle, including upstream data dependencies and downstream reporting.</li>\n</ul>\n<ul>\n<li>Comfort working with large datasets, partnering with data and engineering teams, and validating complex, high-volume calculations.</li>\n</ul>\n<ul>\n<li>Experience with Oracle Fusion ERP and</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping 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calculations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f3679c9-766"},"title":"Software Engineer, Monetization Infrastructure","description":"<p><strong>Software Engineer, Monetization Infrastructure (SF/Seattle)</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>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></p>\n<p>The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.</p>\n<p>Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.</p>\n<p>This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for an experienced Software Engineer to help build the core infrastructure behind OpenAI’s monetization and ads systems. In this foundational role, you’ll architect and implement distributed systems that power OpenAI’s monetization stack—focusing on reliability, performance, privacy, and large-scale operation.</p>\n<p>You’ll work across backend, systems, and platform layers to define and implement 0→1 infrastructure, partnering closely with Product, Design, and Research to shape the future of monetized AI experiences. Your work will enable both internal and external teams to build on safe, scalable, and robust monetization primitives.</p>\n<p>This role is exclusively based across our San Francisco &amp; Seattles sites. We offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and build the foundational backend and infrastructure powering OpenAI’s monetization and ads systems</li>\n</ul>\n<ul>\n<li>Architect large-scale distributed systems that meet strict requirements for reliability, privacy, security, and performance</li>\n</ul>\n<ul>\n<li>Develop APIs, infrastructure services, and internal platforms that support ads creation, delivery, measurement, and optimization</li>\n</ul>\n<ul>\n<li>Work closely with Product, Research, and Design to translate requirements into scalable technical solutions</li>\n</ul>\n<ul>\n<li>Drive 0→1 infra development through rapid prototyping, experimentation, and iterative improvements</li>\n</ul>\n<ul>\n<li>Contribute to the long-term technical strategy and roadmap for the monetization infra stack</li>\n</ul>\n<ul>\n<li>Ensure high engineering rigor through excellent testing, documentation, observability, and operational best practices</li>\n</ul>\n<ul>\n<li>Build for safety, privacy, fairness, and policy alignment from first principles</li>\n</ul>\n<ul>\n<li>Collaborate across engineering orgs to ensure the infra layer is flexible, performant, and resilient</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 10+ years of experience building and operating large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Have experience designing mission-critical systems with demanding reliability, performance, and correctness requirements</li>\n</ul>\n<ul>\n<li>Think in systems—architecture, data flows, operational concerns, observability, and long-term maintainability</li>\n</ul>\n<ul>\n<li>Are comfortable defining technical direction in ambiguous 0→1 environments</li>\n</ul>\n<ul>\n<li>Enjoy working cross-functionally to shape product requirements and system capabilities</li>\n</ul>\n<ul>\n<li>Communicate clearly, reason holistically, and make decisions grounded in user needs and long-term system health</li>\n</ul>\n<ul>\n<li>Bonus: Experience in ads systems, marketplaces, AI/ML infra, or other monetization-intensive domains</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 research and collaboration.</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_6f3679c9-766","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/a4ea79c8-e79f-4126-8c1f-032289024961","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K • Offers Equity","x-skills-required":["Software Engineer","Distributed Systems","APIs","Infrastructure Services","Internal Platforms","Ads Creation","Delivery","Measurement","Optimization","Backend","Systems","Platform Layers","0→1 Infrastructure","Reliability","Performance","Privacy","Security","Large-Scale Operation","Testing","Documentation","Observability","Operational Best Practices","Safety","Privacy","Fairness","Policy Alignment"],"x-skills-preferred":["Ads Systems","Marketplaces","AI/ML Infra","Monetization-Intensive Domains"],"datePosted":"2026-03-06T18:25:22.229Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Distributed Systems, APIs, Infrastructure Services, Internal Platforms, Ads Creation, Delivery, Measurement, Optimization, Backend, Systems, Platform Layers, 0→1 Infrastructure, Reliability, Performance, Privacy, Security, Large-Scale Operation, Testing, Documentation, Observability, Operational Best Practices, Safety, Privacy, Fairness, Policy Alignment, Ads Systems, Marketplaces, AI/ML Infra, Monetization-Intensive Domains","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_142c12c6-555"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of scientific and technical strategy for data-driven attribution and causal measurement across advertising systems. You will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you will help define the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems. You will establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability. You will lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale. You will set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams. You will identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations. You will operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.</li>\n<li>Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.</li>\n<li>Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.</li>\n<li>Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.</li>\n<li>Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.</li>\n<li>Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.</li>\n<li>Track record of driving multi-year research or modeling agendas that materially improved product outcomes.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong analytical and problem-solving skills.</li>\n<li>Excellent communication and collaboration skills.</li>\n<li>Ability to work in a fast-paced environment and prioritize multiple tasks.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary.</li>\n<li>Comprehensive benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic 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_142c12c6-555","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-18/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Predictive Analytics","Research"],"x-skills-preferred":["Attribution","Incrementality","Marketplace Experimentation","Causal ML"],"datePosted":"2026-03-06T07:32:08.322Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Predictive Analytics, Research, Attribution, Incrementality, Marketplace Experimentation, Causal ML"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8672228f-4df"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Sunnyvale office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the advertising marketplace. You&#39;ll work directly with leadership to shape the company&#39;s direction in the development of large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback.</p>\n<p><strong>About the Role</strong></p>\n<p>Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value. We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. 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