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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! 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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. 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Whether you&#39;re building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.</p>\n<p>We&#39;re looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results</li>\n<li>Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions</li>\n<li>Design intuitive interfaces and abstractions that make complex research tasks accessible and 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You&#39;ll partner closely with Product, Data Science, and Design to define the future of Dropbox monetization while mentoring a team of 15 engineers across experience levels.</p>\n<p>Your work will have immediate, measurable business impact. You&#39;ll get substantial exposure to Growth leadership, shape the technical direction of a critical revenue-driving platform, and help build a best-in-class monetization engineering practice.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead the design and implementation of scalable, reliable systems powering Dropbox&#39;s monetization flows (checkout, trials, subscriptions, pricing)</li>\n</ul>\n<ul>\n<li>Define and drive the technical roadmap for Growth Monetization, aligning engineering investments with business priorities</li>\n</ul>\n<ul>\n<li>Architect AI/ML-powered solutions for conversion optimization, personalized offers, and predictive churn modeling</li>\n</ul>\n<ul>\n<li>Own end-to-end delivery of complex, cross-functional projects with direct revenue impact</li>\n</ul>\n<ul>\n<li>Establish engineering best practices, improve system reliability, and drive down technical debt</li>\n</ul>\n<ul>\n<li>Mentor engineers across the team, fostering growth and elevating technical capabilities</li>\n</ul>\n<ul>\n<li>Partner with Product, Data Science, and Design to translate business goals into technical solutions</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>12+ years of software engineering experience, with 3+ years operating at a senior or staff level</li>\n</ul>\n<ul>\n<li>Strong full-stack engineering skills with proficiency in modern frontend frameworks (React, TypeScript) and backend technologies (Python, Go, or similar)</li>\n</ul>\n<ul>\n<li>Demonstrated ability to lead complex technical projects from conception through delivery</li>\n</ul>\n<ul>\n<li>Experience designing and scaling systems that handle high traffic and require high reliability</li>\n</ul>\n<ul>\n<li>Track record of influencing technical strategy and driving architectural decisions beyond immediate team scope</li>\n</ul>\n<ul>\n<li>Proven ability to mentor engineers and raise the technical bar across a team</li>\n</ul>\n<ul>\n<li>Strong product intuition and ability to balance technical excellence with business impact</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with monetization, payments, checkout, or e-commerce platforms</li>\n</ul>\n<ul>\n<li>Background in growth engineering, conversion optimization, or experimentation platforms</li>\n</ul>\n<ul>\n<li>Familiarity with ML/AI applications in personalization or funnel optimization</li>\n</ul>\n<ul>\n<li>Experience with subscription-based or SaaS business models</li>\n</ul>\n<ul>\n<li>Prior experience at a company operating at significant scale (millions of users)</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_fb1a86d3-9ee","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dropbox","sameAs":"https://www.dropbox.com/","logo":"https://logos.yubhub.co/dropbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dropbox/jobs/7421153","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$204,900-$277,200 CAD","x-skills-required":["full-stack engineering","modern frontend frameworks","backend technologies","AI/ML-powered solutions","conversion optimization","personalized offers","predictive churn modeling"],"x-skills-preferred":["monetization","payments","checkout","e-commerce platforms","growth engineering","experimentation platforms","ML/AI applications","subscription-based","SaaS business models"],"datePosted":"2026-04-18T15:58:45.044Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada: Select locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack engineering, modern frontend frameworks, backend technologies, AI/ML-powered solutions, conversion optimization, personalized offers, predictive churn modeling, monetization, payments, checkout, e-commerce platforms, growth engineering, experimentation platforms, ML/AI applications, subscription-based, SaaS business models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":204900,"maxValue":277200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6683dad6-0d9"},"title":"Senior Data Scientist","description":"<p>Join us to build the decision engine for better mental health outcomes.</p>\n<p>As a Senior Data Scientist, you will sit in the heart of a cross-functional product team and help turn messy, real-world signals into clear decisions. You will make sure we are capturing the right data, designing experiments that tell us what is actually driving outcomes, and translating findings into recommendations that teams can act on quickly.</p>\n<p>When the insight is stable and valuable, you will help operationalize it through predictive models that improve provider and patient experiences.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Being the analytics partner inside the pod, working closely with Product, Engineering, Design, Ops, and Clinical stakeholders to define questions, metrics, guardrails, and decision rules.</li>\n<li>Running rigorous experiments, designing and analyzing A/B tests and quasi-experiments with clear hypotheses, power considerations, and pre-defined success criteria.</li>\n<li>Connecting behavior to strategy, using funnel, cohort, segmentation, and lifecycle analysis to understand how people and providers experience Headway, and where product changes will have the biggest impact.</li>\n<li>Using causal inference when experiments are not possible, applying approaches like diff-in-diff, matching, and regression-based designs with principled uncertainty quantification.</li>\n<li>Building models when they should exist, developing predictive models that operationalize vetted insights (feature development, validation, backtesting, calibration), with clear launch criteria and monitoring plans.</li>\n<li>Creating decision-ready work, producing analysis and narratives that are crisp, honest about uncertainty, and drive action.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>6+ years using data to drive product or business decisions in product, growth, engineering, or operations environments.</li>\n<li>Strong SQL and strong proficiency in Python or R for analysis and modeling.</li>\n<li>Demonstrated depth in experimentation and causal inference under real-world constraints.</li>\n<li>Practical modeling skill: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring.</li>\n<li>Strong product sense and opinions, including a track record of connecting analytics recommendations to measurable outcomes.</li>\n<li>Clear communication: you can explain complex work to non-technical audiences without losing the truth.</li>\n<li>A self-starter mindset: you prioritize well, follow through, and do not need heavy oversight.</li>\n<li>Motivation for our mission: improving access and affordability in mental healthcare.</li>\n</ul>\n<p>The expected base pay range for this position is $180,000 - $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.</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_6683dad6-0d9","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/5677823004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000 - $225,000","x-skills-required":["SQL","Python","R","Experimentation","Causal Inference","Predictive Modeling","Data Analysis","Communication"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:38.344Z","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":"SQL, Python, R, Experimentation, Causal Inference, Predictive Modeling, Data Analysis, Communication","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_52a00332-195"},"title":"Director, GTM Strategy","description":"<p>As a Director, GTM Strategy, you will define the multi-year GTM strategy, design high-impact GTM motions and levers, and build the 3-year operating model that connects market opportunity to revenue objectives, resource allocation, and execution pathways.</p>\n<p>You will partner across Sales, Field Engineering, Marketing, Operations, Finance, Product, Business Intelligence &amp; Insights (BII), Econometrics and Data Science to translate strategy into clear initiatives and resource investments aligned to measurable outcomes.</p>\n<p>Key responsibilities include:</p>\n<p>Defining the GTM strategy, setting strategic choices and trade-offs across segments, industries, regions, and partner ecosystems. Codifying strategic priorities into an annual portfolio of initiatives with owners, milestones, and success metrics. Building the 3-year operating model, revenue plan, productivity assumptions, coverage &amp; capacity, investment envelopes, multi/cross-product sales penetration and scenario analysis. Developing strategic planning &amp; competitor artifacts including market maps, growth theses, product-GTM alignment to inform where to play and how to win against the competition. Instrumenting leading indicators for strategy efficacy including pipeline source/mix, segment traction, motion adoption, velocity and conversion and recommending pivots based on signal. Designing GTM motions with clear hypotheses, target segments, investment offers, enablement needs, and measurement frameworks. Collaborating cross-functionally to connect strategy → enablement → programs → field execution; ensuring downstream operating cadence reflects up-front strategic choices.</p>\n<p>Requirements include:</p>\n<p>7–10+ years in GTM Strategy/Ops, Management Consulting, Corporate Strategy, or adjacent roles; experience in enterprise software or platform businesses preferred. Strong business skills and GTM knowledge, must have deep understanding of typical enterprise tech business models and GTM strategies across multiple disciplines including Field Sales, Indirect Sales, Shared Services, Marketing, Post-sales etc. A track record of consistently developing and executing integrated GTM strategies to deliver excellent results, even in challenging and ever-changing environments. Demonstrated success in segmentation, coverage, and capacity planning, GTM motion design, and building multi-year operating models with scenario analysis. Analytical, data-driven operator; comfortable with modeling, executive synthesis, and turning insights into decisions; familiarity with ROI, CAC, and HC planning. Executive communication and stakeholder management; able to frame complex choices, facilitate trade-offs, and drive alignment at senior levels. Strong program design skill set with hypothesis-led experimentation and measurable outcomes; SQL/BI proficiency a plus. Lead thoughtful, creative and rigorous analysis (e.g., market sizing, coverage model analysis, business models) to synthesize insights and provide recommendations to GTM leadership.</p>\n<p>Pay Range Transparency: The pay range for this role is $234,200-$322,100 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_52a00332-195","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/8374721002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$234,200-$322,100 USD","x-skills-required":["GTM Strategy","Management Consulting","Corporate Strategy","Enterprise Software","Platform Businesses","Business Analysis","Data-Driven Decision Making","Executive Communication","Stakeholder Management","Program Design","Hypothesis-Led Experimentation","Measurable Outcomes","SQL","BI"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:08.739Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GTM Strategy, Management Consulting, Corporate Strategy, Enterprise Software, Platform Businesses, Business Analysis, Data-Driven Decision Making, Executive Communication, Stakeholder Management, Program Design, Hypothesis-Led Experimentation, Measurable Outcomes, SQL, BI","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":234200,"maxValue":322100,"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 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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 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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_7c809f8b-e66"},"title":"Sr. Data Scientist, Core","description":"<p>We&#39;re seeking a Senior Data Scientist to join our Core organization, where you&#39;ll shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation, and algorithms will be utilized to solve complex engineering challenges. You&#39;ll collaborate with cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and others to drive product development and introduce scientific rigor into real-world products serving hundreds of millions of users.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing best practices for instrumentation and experimentation to help fulfill our mission to bring everyone the inspiration to create a life they love</li>\n<li>Bringing scientific rigor and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of our users</li>\n<li>Building and prototyping analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development</li>\n<li>Working cross-functionally to build and communicate key insights, and collaborating closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data</li>\n<li>Extensive experience solving analytical problems using quantitative approaches, including machine learning, statistical modeling, forecasting, econometrics, or other related fields</li>\n<li>Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow, or scikit-learn</li>\n<li>A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail, and commitment to high-quality, results-oriented output</li>\n<li>Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)</li>\n<li>Excellent communication skills and ability to explain learnings to both technical and non-technical partners</li>\n<li>A team player who&#39;s able to partner with cross-functional leadership to quickly turn insights into actions</li>\n</ul>\n<p>Relocation assistance is not eligible for this position. The base salary range for this position is $139,764-$287,749 USD, and the position is eligible for equity.</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_7c809f8b-e66","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/6087213","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,764-$287,749 USD","x-skills-required":["Quantitative modeling","Experimentation","Algorithms","Machine learning","Statistical modeling","Forecasting","Econometrics","SQL","Python","R"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:11.326Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Quantitative modeling, Experimentation, Algorithms, Machine learning, Statistical modeling, Forecasting, Econometrics, SQL, Python, R","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139764,"maxValue":287749,"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. 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Expertise in identifying product engagement patterns and trends for large scale consumer products. Track record of shipping high-quality products and features at scale. Desire to work in a very fast-paced environment. Ability to turn business and product ideas into engineering solutions. 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This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.</p>\n<p>You’ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.</p>\n<p><strong>What will I be doing?</strong></p>\n<ul>\n<li>Build Revenue-Impacting ML Systems</li>\n<li>Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)</li>\n<li>Productionize models into operational systems (Salesforce, Marketo, outbound workflows)</li>\n<li>Monitor model performance and iterate for measurable business lift</li>\n<li>Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)</li>\n<li>Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)</li>\n</ul>\n<p>You don’t just build models - you ensure they change behavior.</p>\n<p><strong>Own End-to-End Data Products</strong></p>\n<ul>\n<li>Translate ambiguous business problems into clear, measurable objectives</li>\n<li>Define GTM data products vision, success metrics, and roadmap</li>\n<li>Ensure integration into existing workflows and systems</li>\n<li>Lead stakeholder alignment and change management</li>\n<li>Secure buy-in from system owners before replacing or enhancing existing solutions</li>\n</ul>\n<p>You operate as a mini GM for your data products.</p>\n<p><strong>Architect Scalable Data Foundations</strong></p>\n<ul>\n<li>Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure</li>\n<li>Ensure data quality, governance, and reproducibility</li>\n<li>Elevate the team’s standards for experimentation, documentation, and knowledge sharing</li>\n<li>Push adoption of new tools and AI capabilities where appropriate</li>\n</ul>\n<p>You raise the technical bar for the GTM organization.</p>\n<p><strong>What impact might I have?</strong></p>\n<p>Within 6-12 months, you might:</p>\n<ul>\n<li>Launch predictive models that materially improve conversion, expansion, or retention</li>\n<li>Reduce inefficiencies in Sales workflows through automation</li>\n<li>Help leadership make investment decisions backed by rigorous data science</li>\n<li>Influence GTM strategy through quantitative insight and modeling</li>\n</ul>\n<p>Success is measured in business outcomes - not dashboards built.</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_27ecbf0a-523","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7652268","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$197,600 - $246,713","x-skills-required":["Expert-level SQL","Advanced Python or R for modeling and experimentation","Strong foundation in statistics and experimental design","Predictive modeling","Feature engineering"],"x-skills-preferred":["Causal inference or uplift modeling","Model deployment & monitoring"],"datePosted":"2026-04-18T15:55:52.628Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Expert-level SQL, Advanced Python or R for modeling and experimentation, Strong foundation in statistics and experimental design, Predictive modeling, Feature engineering, Causal inference or uplift modeling, Model deployment & monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":197600,"maxValue":246713,"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_a671ef89-205"},"title":"Staff Product Manager, Growth","description":"<p>We&#39;re looking for a Staff Product Manager, Growth to own Flexport&#39;s website, self-serve experience, and the critical intersection between marketing and product that turns visitor traffic into a qualified pipeline.</p>\n<p>You&#39;ll be the connective tissue between Marketing, Product, Engineering, and Sales, ensuring that every touchpoint from first page view to sales handoff is optimized for conversion and user quality. This is a high-leverage, metrics-driven role.</p>\n<p>You&#39;ll set the strategy for how prospects discover Flexport, experience our products and technology for the first time, and convert into high-value leads that Sales can close. You&#39;ll own the growth marketing roadmap, run rigorous experimentation, and partner deeply with Marketing on acquisition and with Product and Engineering on the self-serve experience.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Website as a Growth Product</strong></p>\n<ul>\n<li>Own Flexport.com as Flexport’s highest-leverage growth channel to define the product vision, roadmap, and KPIs for the marketing website.</li>\n<li>Drive SEO and AEO strategy, information architecture, and content performance to increase organic traffic and domain authority.</li>\n<li>Lead conversion rate optimization across landing pages, product pages, and CTAs through structured experimentation (A/B tests, multivariate tests, holdout groups).</li>\n</ul>\n<p><strong>Self-Serve Flow &amp; Product-Led Growth</strong></p>\n<ul>\n<li>Own the end-to-end self-serve funnel from first visit through signup, onboarding, activation, and handoff to Sales.</li>\n<li>Define and instrument key growth metrics (visitor-to-signup, signup-to-activation, activation-to-MQL, MQL-to-SQL) and build dashboards that make funnel health visible across the organization.</li>\n<li>Identify and activate product-led growth levers: trial flows, in-platform conversion moments, guided onboarding, and expansion signals.</li>\n</ul>\n<p><strong>Marketing and Product Bridge</strong></p>\n<ul>\n<li>Serve as the primary product partner between the Marketing team translating campaign objectives into product requirements and vice versa.</li>\n<li>Collaborate with Marketing and Sales Ops on lead scoring models, nurture logic, and segmentation strategies to ensure product signals feed into accurate lead qualification.</li>\n<li>Align product releases and platform capabilities with go-to-market motions so that new features translate into pipeline.</li>\n</ul>\n<p><strong>AI &amp; Growth Innovation</strong></p>\n<ul>\n<li>Leverage AI tools and workflows to accelerate experimentation, personalization, audience targeting, and performance analysis.</li>\n<li>Use AI to rapidly prototype and launch landing pages, microsites, interactive tools, and campaign automations without waiting on engineering resources.</li>\n</ul>\n<p><strong>Analytics &amp; Experimentation</strong></p>\n<ul>\n<li>Build and maintain growth dashboards that track traffic, funnel conversion, channel attribution, campaign ROI, and lead quality.</li>\n<li>Own the marketing experimentation program and define hypothesis backlogs, prioritize tests by expected impact, run experiments with statistical rigor, and scale winners.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Product management experience, with significant depth in growth, conversion, or product-led growth at a high-growth B2B technology company.</li>\n<li>Strong preference for former tech founders or early-stage operators who have owned the full end-to-end go-to-market for a B2B product from building the website to closing the first customers.</li>\n<li>Proven track record of driving measurable improvements in web traffic, signup conversion, activation rates, or pipeline generation.</li>\n<li>Deep understanding of enterprise B2B buying motions - complex, long sales cycles, buying committees, and what it takes to generate leads that Sales actually wants to work.</li>\n<li>Experience in logistics, supply chain, or enterprise SaaS is a strong plus.</li>\n<li>A power user of AI in your product workflow; you actively use tools like Claude Code, Codex, OpenClaw, or similar to accelerate prototyping, analysis, and experimentation.</li>\n<li>Bonus if you’ve used vibe coding or low-code AI tools to build landing pages, internal tools, or automations yourself.</li>\n<li>Fluent in web analytics, attribution modeling, and experimentation tooling (e.g. Google Analytics, Amplitude, Optimizely, LaunchDarkly). Comfortable writing SQL and building dashboards.</li>\n<li>Experience with marketing automation and CRM systems (Salesforce, HubSpot, Marketo) and a working understanding of how product signals feed lead scoring and sales workflows.</li>\n<li>Strong product craft , you write clear PRDs, define sharp success metrics, and ship iteratively. You know how to scope ruthlessly and say no to the right things.</li>\n<li>Excellent cross-functional communication. You can present strategy and results to the CEO, align Engineering on technical trade-offs, and partner back with your marketing team.</li>\n<li>A bias toward action and experimentation - you ship fast, learn fast, and iterate. You’re energized by ambiguity and thrive when you can move from zero to one.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this position is $200,000-$230,000 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_a671ef89-205","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Flexport","sameAs":"https://www.flexport.com/","logo":"https://logos.yubhub.co/flexport.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/flexport/jobs/7808634","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$200,000-$230,000 USD","x-skills-required":["Product management","Growth marketing","Conversion rate optimization","Experimentation","Web analytics","Attribution modeling","SQL","Marketing automation","CRM systems"],"x-skills-preferred":["AI","Machine learning","Data science","Cloud computing","DevOps"],"datePosted":"2026-04-18T15:55:33.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Product management, Growth marketing, Conversion rate optimization, Experimentation, Web analytics, Attribution modeling, SQL, Marketing automation, CRM systems, AI, Machine learning, Data science, Cloud computing, DevOps","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_70ecb912-482"},"title":"Sr. Product Designer","description":"<p>Job Title: Sr. Product Designer</p>\n<p>We&#39;re seeking a Senior Product Designer to join our team in London. As a Senior Product Designer, you will lead complex, high-impact product initiatives from discovery to release. You will design AI-powered features and workflows that feel intuitive, are trustworthy, and valuable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead complex, high-impact product initiatives from discovery to release.</li>\n<li>Ship regularly,prioritizing real-world impact over pixel-perfect mockups.</li>\n<li>Design AI-powered features and workflows that feel intuitive, are trustworthy, and valuable.</li>\n<li>Work alongside engineers to refine implementation details and ensure high-quality execution.</li>\n<li>Ship front-end development into the codebase.</li>\n<li>Use necessary tools to create prototypes and/or tools to test workflows, interactions, and edge cases.</li>\n<li>Balance user needs, technical constraints, and business goals to deliver measurable outcomes.</li>\n<li>Strengthen and evolve Dialtone, ensuring scalable, accessible, and cohesive system design.</li>\n<li>Identify new opportunities where AI and automation can create meaningful value for customers.</li>\n<li>Mentor other designers and elevate the craft, speed, and quality of how the team ships.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Have 5+ years of experience shipping high-quality, thoughtful product design work.</li>\n<li>Demonstrate a strong track record of delivered experiences.</li>\n<li>Be highly comfortable navigating ambiguity and leading complex projects independently.</li>\n<li>Think in systems,designing cohesive end-to-end experiences rather than isolated screens.</li>\n<li>Comfortable working in front-end code and deeply collaborating with engineering.</li>\n<li>Experience working with AI tools and designing AI-enhanced experiences.</li>\n<li>Communicate clearly and persuasively across disciplines, including with leadership.</li>\n<li>Care deeply about craft, detail, usability, and measurable product outcomes.</li>\n<li>Proactively identify problems, propose improvements, and drive work forward without waiting for direction.</li>\n<li>Have experience designing AI-native products, conversational interfaces, or automation workflows.</li>\n<li>Have directly contributed to production codebases.</li>\n<li>Have experience building SaaS or enterprise collaboration platforms.</li>\n<li>Be familiar with communication technologies (voice, messaging, contact centers, or real-time collaboration).</li>\n<li>Have helped evolve or scale a design system.</li>\n<li>Bring experience with experimentation frameworks and data-informed iteration.</li>\n<li>Contribute to the broader design community through writing, speaking, or mentoring.</li>\n</ul>\n<p>Why Join Dialpad:</p>\n<ul>\n<li>Work at the center of the AI transformation in business communications</li>\n<li>Build and ship agentic AI products that are redefining how companies operate</li>\n<li>Join a team where AI amplifies every employee’s impact</li>\n<li>Competitive salary, comprehensive benefits, and real opportunities for growth</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_70ecb912-482","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8443680002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Design","AI-powered features","Front-end development","Prototyping","User experience","System design","Communication technologies","Experimentation frameworks","Data-informed iteration"],"x-skills-preferred":["AI tools","Conversational interfaces","Automation workflows","SaaS or enterprise collaboration platforms","Design systems","Writing","Speaking","Mentoring"],"datePosted":"2026-04-18T15:55:26.267Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"Product Design, AI-powered features, Front-end development, Prototyping, User experience, System design, Communication technologies, Experimentation frameworks, Data-informed iteration, AI tools, Conversational interfaces, Automation workflows, SaaS or enterprise collaboration platforms, Design systems, Writing, Speaking, Mentoring"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_51b134bc-ee4"},"title":"Staff+ Software Engineer, Full-stack","description":"<p><strong>About the role\\nAnthropic&#39;s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products.\\n\\nYou&#39;ll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.\\n\\nWe’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.\\n\\n## Responsibilities\\nDeveloper Experience:\\n\\nYou&#39;ll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications.\\n\\nOur mission is to meet developers where they are and bring them closer to the ceiling of what&#39;s possible with our models and API.\\n\\nThat means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude&#39;s capabilities, and accelerating the path to agentic development by designing for both human and AI developers.\\n\\nYou&#39;ll work closely with teams across the Platform org to turn Claude&#39;s newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.\\n\\nBeneficial Deployments:\\n\\nBeneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programs.\\n\\nWe&#39;re looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn&#39;t afford this capacity any other way.\\n\\nEnterprise AI Products:\\n\\nYou&#39;ll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows.\\n\\nOn this team you will systematically understand why Enterprise users aren&#39;t activating, what&#39;s blocking adoption, and building the capabilities to close those gaps.\\n\\nSome of our focuses are:\\n\\n- Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.\\n\\n- Context , enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company&#39;s people, documents, and workflows.\\n\\nA connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.\\n\\n- Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use.\\n\\nMoving from &quot;Claude answers when asked&quot; to &quot;Claude notices what you need&quot;.\\n\\nVertical AI Products:\\n\\nPurpose-built experiences for specific industries where Claude can transform complex professional work.\\n\\nWe&#39;re currently building for three verticals, with more to come:\\n\\n- Financial Services , analysts and bankers building models, memos, and decks under deadline.\\n\\nWe&#39;re building retrieval, analysis, and document generation that holds up to executive review.\\n\\n- Healthcare , clinical documentation, prior auth, and care coordination.\\n\\nWork where accuracy isn&#39;t a feature, it&#39;s the whole product , and where compliance is part of the engineering.\\n\\n- Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it&#39;s wrong.\\n\\nEnterprise Foundations:\\n\\nYou&#39;ll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it&#39;s being used.\\n\\nThis is the work that turns &quot;we love the demo&quot; into a signed enterprise deal.\\n\\nThe role is part product, part platform.\\n\\nYou&#39;ll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.\\n\\nGrowth:\\n\\nDrive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations.\\n\\nAt Anthropic, we&#39;re not just building AI tools; we&#39;re reimagining how AI can enhance and expand its user base!\\n\\nAs a member of the growth team, you will have a unique opportunity to shape our growth strategy.\\n\\nYou will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.\\n\\n## Requirements\\n\\n- Have 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level\\n\\n- Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack\\n\\n- Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)\\n\\n- Take a product-focused approach to building solutions that are robust, scalable, and easy to use\\n\\n- Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1\\n\\n- Care deeply in investing in the mentorship and growth of your peers\\n\\n- Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority\\n\\n- Have experience establishing engineering standards, component architectures, and development best practices\\n\\n- Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products\\n\\n## Nice to Have\\n\\n- Experience with React and frontend frameworks\\n\\n- Experience with REST APIs\\n\\n- Hands-on experience with LLMs, prompt engineering, or building AI-native product features , and an intuition for where models are reliable vs. where they need guardrails\\n\\n- Experience building developer-facing products, APIs, or tooling, with a feel for what good developer experience looks like\\n\\n- Prior work on growth, activation, or experimentation , A/B testing, funnel analysis, and a data-driven approach to product iteration\\n\\n- Domain depth in a regulated or mission-critical context: enterprise, healthcare, legal, financial services, or accessibility-focused products where quality and compliance constraints are real</strong></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_51b134bc-ee4","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/5174747008","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["full-stack engineering","React","Typescript","modern frontend and backend development","complex, consumer or B2B user-facing products","product-focused approach","engineering standards","component architectures","development best practices"],"x-skills-preferred":["LLMs","prompt engineering","AI-native product features","developer-facing products","APIs","tooling","growth","activation","experimentation","A/B testing","funnel analysis","data-driven approach","regulated or mission-critical context"],"datePosted":"2026-04-18T15:55:14.425Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack engineering, React, Typescript, modern frontend and backend development, complex, consumer or B2B user-facing products, product-focused approach, engineering standards, component architectures, development best practices, LLMs, prompt engineering, AI-native product features, developer-facing products, APIs, tooling, growth, activation, experimentation, A/B testing, funnel analysis, data-driven approach, regulated or mission-critical context"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4d3362b7-911"},"title":"Senior Product Manager, Growth","description":"<p>We&#39;re seeking a Senior Product Manager to lead Growth initiatives across top-of-funnel optimization and pricing &amp; packaging tests across geolocations and platforms. As a senior member of the Product team, you will contribute directly to the company strategy and be responsible for influencing revenue-driving metrics. You will have the responsibility to engage with executives across the company to ensure alignment between our platform, experiences, and growth teams.</p>\n<p>Key responsibilities include owning the growth roadmap for top-of-funnel optimization and pricing &amp; packaging tests across geolocations and platforms, identifying and prioritizing the highest-impact opportunities across landing pages, sign-up, onboarding, upgrade flows, and plan selection, and leading structured experimentation (A/B and multivariate testing).</p>\n<p>You will partner with Design and Engineering to build and iterate on growth components (upgrade surfaces, pricing modules, offer, onboarding experience) and drive pricing and packaging strategy: run pricing experiments, evaluate packaging changes, and improve plan positioning and upgrade paths.</p>\n<p>Expand growth globally by improving localized acquisition and conversion, addressing country-specific payment and platform considerations, and tailoring offers by market. Improve mobile monetization by optimizing mobile upgrade journeys, experimenting with placements and messaging, and partnering on app-store/platform constraints and opportunities.</p>\n<p>Monitor funnel health and cohort performance, balancing conversion gains with long-term retention, trust, and user experience quality.</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_4d3362b7-911","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dropbox","sameAs":"https://www.dropbox.com/","logo":"https://logos.yubhub.co/dropbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dropbox/jobs/7729243","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$192,800-$260,800 USD (US Zone 2)","x-skills-required":["product management","growth","monetization","product-led environments","quantitative and analytical skills","experimentation","data-driven decision-making","cross-functional collaboration","communication"],"x-skills-preferred":["AI/LLM-powered tools and workflows","experimentation platforms","analytics tools","international growth","mobile growth/monetization"],"datePosted":"2026-04-18T15:55:09.686Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US: Select locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"product management, growth, monetization, product-led environments, quantitative and analytical skills, experimentation, data-driven decision-making, cross-functional collaboration, communication, AI/LLM-powered tools and workflows, experimentation platforms, analytics tools, international growth, mobile growth/monetization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192800,"maxValue":260800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a8dfaa3-f2f"},"title":"Staff+ Software Engineer, Full-stack","description":"<p><strong>About the role</strong></p>\n<p>Anthropic&#39;s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You&#39;ll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.</p>\n<p>You&#39;ll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.</p>\n<p>We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they&#39;ll have the greatest impact and growth potential.</p>\n<p><strong>Developer Experience</strong></p>\n<p>You&#39;ll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what&#39;s possible with our models and API. 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On this team you will systematically understand why Enterprise users aren&#39;t activating, what&#39;s blocking adoption, and building the capabilities to close those gaps.</p>\n<p>Some of our focuses are:</p>\n<ul>\n<li>Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.</li>\n</ul>\n<ul>\n<li>Context , enterprise knowledge, organisational memory, and the retrieval layer that makes Claude genuinely aware of a company&#39;s people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.</li>\n</ul>\n<ul>\n<li>Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from &#39;Claude answers when asked&#39; to &#39;Claude notices what you need&#39;.</li>\n</ul>\n<p><strong>Vertical AI Products</strong></p>\n<p>Purpose-built experiences for specific industries where Claude can transform complex professional work. We&#39;re currently building for three verticals, with more to come:</p>\n<ul>\n<li>Financial Services , analysts and bankers building models, memos, and decks under deadline. We&#39;re building retrieval, analysis, and document generation that holds up to executive review.</li>\n</ul>\n<ul>\n<li>Healthcare , clinical documentation, prior auth, and care coordination. Work where accuracy isn&#39;t a feature, it&#39;s the whole product , and where compliance is part of the engineering.</li>\n</ul>\n<ul>\n<li>Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it&#39;s wrong.</li>\n</ul>\n<p><strong>Enterprise Foundations</strong></p>\n<p>You&#39;ll build the systems large organisations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it&#39;s being used. This is the work that turns &#39;we love the demo&#39; into a signed enterprise deal. The role is part product, part platform. You&#39;ll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.</p>\n<p><strong>Growth</strong></p>\n<p>Drive user acquisition, engagement, retention, and monetisation through data-driven strategies and technical implementations. At Anthropic, we&#39;re not just building AI tools; we&#39;re reimagining how AI can enhance and expand its user base!</p>\n<p>As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimise growth initiatives that scale our AI-powered tools and maximise their impact.</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_3a8dfaa3-f2f","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/5174747008","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["full-stack fundamentals","modern frontend and backend development","React","Typescript","LLMs","prompt engineering","developer-facing products","APIs","tooling","growth","activation","experimentation","A/B testing","funnel analysis","data-driven approach"],"x-skills-preferred":["domain depth in a regulated or mission-critical context","enterprise","healthcare","legal","financial services","accessibility-focused products"],"datePosted":"2026-04-18T15:55:04.352Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack fundamentals, modern frontend and backend development, React, Typescript, LLMs, prompt engineering, developer-facing products, APIs, tooling, growth, activation, experimentation, A/B testing, funnel analysis, data-driven approach, domain depth in a regulated or mission-critical context, enterprise, healthcare, legal, financial services, accessibility-focused products"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e1b0c3f3-f75"},"title":"UX Designer - Growth/Monetization","description":"<p>We&#39;re looking for a passionate UX Designer – Growth / Monetization to own the end-to-end subscription experience and drive measurable growth for xAI&#39;s consumer and platform products.</p>\n<p>You&#39;ll design intuitive, high-conversion journeys that turn curious users into loyal subscribers: optimizing discovery, pricing, checkout, onboarding, billing, upgrades/downgrades, retention nudges, and churn prevention.</p>\n<p>You&#39;ll work closely with growth leads, engineers, researchers, and revenue stakeholders to turn complex business requirements into elegant, accessible, and delightful experiences that directly impact sign-ups, retention, expansion revenue, and lifetime value.</p>\n<p>This is an excellent opportunity for a data-driven UX designer who combines deep user empathy, rigorous experimentation, systematic thinking, and hands-on design craft , and who loves both strategic growth discovery and pixel-perfect execution.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead end-to-end Growth UX for subscription products and monetization features across web, mobile, and cross-platform surfaces</li>\n</ul>\n<ul>\n<li>Conduct targeted user research (funnel analysis, usability testing, interviews, surveys, A/B test deep-dives, contextual inquiry) focused on subscription decision points and translate insights into high-impact design decisions</li>\n</ul>\n<ul>\n<li>Create subscription-specific deliverables: user personas, journey maps, service blueprints, growth funnels, task flows, pricing &amp; 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storytelling skills , able to present and defend designs to non-designers using data and growth narratives</li>\n</ul>\n<ul>\n<li>Comfortable working in ambiguous, fast-moving environments with imperfect information and aggressive growth targets</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Direct experience designing subscription experiences for consumer products</li>\n</ul>\n<ul>\n<li>Track record of optimizing pricing pages, checkout flows, billing portals, or churn-prevention sequences with measurable revenue impact</li>\n</ul>\n<ul>\n<li>Deep familiarity with experimentation frameworks (A/B testing, multivariate, bandit tests) and growth metric frameworks (AARRR / Pirate Metrics, North Star metrics, retention curves)</li>\n</ul>\n<ul>\n<li>Hands-on experience contributing to design systems and reusable subscription component libraries</li>\n</ul>\n<ul>\n<li>Previous exposure to front-end development basics (HTML/CSS, responsive behavior, design tokens)</li>\n</ul>\n<ul>\n<li>Background in service design, content strategy, or UX writing for monetization and retention touchpoints</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>$120,000 - $280,000 USD</p>\n<p>Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; 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We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success.</p>\n<p>Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.</p>\n<p>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.</p>\n<p>By the Numbers:</p>\n<ul>\n<li>Named #1 best software for small business of 2024 by G2</li>\n<li>3,000+ employees in the United States, Canada, Mexico, and Turkiye and growing</li>\n<li>Over $500M in annual revenue</li>\n</ul>\n<p>What Product Management is like at Gusto:</p>\n<p>We’re looking for high-autonomy, entrepreneurial Product Managers to build high-impact solutions for small businesses and their employees. We believe in high-ownership Product Managers who operate like business owners , owning an entire roadmap end to end and shipping product all the way from strategy through to the nitty-gritty details (some describe this kind of role as a “GM” type role).</p>\n<p>We’re boundaryless builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship , using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.</p>\n<p>Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll move fast by pairing sharp product judgment with fluency in AI tools , automating what slows teams down and amplifying what makes them creative and high-performing.</p>\n<p>We’re here to serve small and medium businesses. Gusto has a strong mission-driven culture, and we care deeply about lifting up these business owners , building technology for an AI-first world that gives them the superpowers to run and grow their businesses with confidence.</p>\n<p>We’re comfortable with change. Our environment moves fast, and PMs here thrive in ambiguity , blending curiosity, experimentation, and AI-native craft to shape how products (and work itself) are built at Gusto.</p>\n<p>About the Team: The Tax Credits team is a “mini startup” within Gusto, and an incredibly talented group of people that have a mix of deep customer empathy, domain expertise, and a strong desire to innovate. Our mission is to grow and add value to our customer base, and continually test and refine tools designed to help these customers unlock savings through tax credits and grants.</p>\n<p>If you enjoy uncovering &amp; solving big problems, driving lean experimentation, building 0 to 1 product experiences, and making a big impact on the lives of small business owners, we’d love to hear from you.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<p>Ownership: Spearhead the development of a product &amp; business aimed at unlocking value for existing Gusto customers as well as expanding Gusto’s customer base to new segments</p>\n<p>North Star: Unlocking savings for SMBs through tax credits</p>\n<p>Collaborate: Partner closely with Engineering, Design, Ops and Data Science on all stages of the product development process, and partner with the GM and Revenue team to grow the business and optimize its unit economics</p>\n<p>Lead product discovery to uncover and deeply understand customer problems and test risky assumptions</p>\n<p>Run lean experiments and A/B tests to quickly prove out hypotheses and test new concepts. Always looking for ways to get stronger signal on new ideas</p>\n<p>Create a long-term vision and strategy that defines the big problems we can solve well with a durable competitive advantage</p>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>8+ years of hands-on Product Management experience or 12+ years of relevant work experience</li>\n</ul>\n<p>Proven track record of building 0 to 1 products with nice to haves in:</p>\n<ul>\n<li>Strong product discovery skills and analytical skills</li>\n</ul>\n<p>The intangibles: natural curiosity, grit, customer obsession, and attention to detail</p>\n<p>The ability to tell a compelling story that drives alignment and inspires action</p>\n<p>Strong collaboration skills; ability to quickly build trust quickly</p>\n<p>A passion for helping small businesses</p>\n<p>If you don&#39;t think you meet all of the criteria above but still are interested in the job, please apply. 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However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren’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.</li>\n</ul>\n<p><strong>How we’re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions</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_d08d38d2-b72","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/5159608008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["software engineering","team management","platform ownership","service-to-other-teams","launch-driven operational rhythm","system design","pipeline architecture","product mindset","recruiting and closing senior ICs"],"x-skills-preferred":["LLM evals","ML experimentation platforms","model quality work","A/B testing infrastructure","feature flagging","gradual rollout systems","devtools","CI/CD platforms","testing infrastructure at scale"],"datePosted":"2026-04-18T15:54:35.018Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, team management, platform ownership, service-to-other-teams, launch-driven operational rhythm, system design, pipeline architecture, product mindset, recruiting and closing senior ICs, LLM evals, ML experimentation platforms, model quality work, A/B testing infrastructure, feature flagging, gradual rollout systems, devtools, CI/CD platforms, testing infrastructure at scale","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"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. 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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. 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scientists, analysts, etc.)</li>\n<li>Demonstrate high agency and ability to operate independently in ambiguous environments</li>\n<li>Can quickly develop deep understanding of complex technical domains</li>\n<li>Have strong product instincts and can identify the right problems to solve</li>\n<li>Are proficient with modern web technologies (React, TypeScript, Python, etc.)</li>\n<li>Have a track record of building user-facing applications that are actually used and loved by their target audience</li>\n<li>Communicate effectively with both technical and non-technical stakeholders</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building research tools, scientific software, or experimentation platforms</li>\n<li>Background in machine learning, AI research, or working closely with ML researchers</li>\n<li>Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools</li>\n<li>Built open-source tools or platforms with active user communities</li>\n<li>Experience with data visualization, interactive interfaces, or novel interaction paradigms</li>\n<li>Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)</li>\n<li>Experience leveraging AI/LLMs to build more powerful or efficient tools</li>\n<li>Previous work in creative tools, artist tools, or other domains requiring deep user empathy</li>\n<li>Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment</li>\n</ul>\n<p>Representative projects:</p>\n<ul>\n<li>Building interfaces for collecting and managing human feedback on model outputs at scale</li>\n<li>Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs</li>\n<li>Developing visualization tools that help researchers understand 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Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.</p>\n<p>Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.</p>\n<p>Visit mixpanel.com to learn more.</p>\n<p>About the Sales Team</p>\n<p>Our Sales team manages the entire sales cycle, helping prospects and existing customers leverage Mixpanel to analyze, measure, and improve their customer experience. The team consists of two roles - Account Executives who bring in new business and Account Managers responsible for nurturing existing customers.</p>\n<p>The team specifically covers companies with employee sizes from 1-200, emphasizing high-growth tech companies changing the world around us.</p>\n<p>About Mixpanel in Israel</p>\n<p>Mixpanel is the best-known and most respected Digital Analytics platform in Israel. With hundreds of paying customers from Israel, from the entire spectrum of industries, we are proud to work with some of the largest and most fascinating customers that have come out of Israel in recent years, including Viber, eToro, Taboola, Fiverr, Monday.com, and many more.</p>\n<p>The Israeli market represents one of Mixpanel’s most exciting markets, with a concentration of Tier 1 tech and start-ups and a high focus on VCs. We have witnessed a high level of growth in the Israeli market since we put a team on the ground in November 2021.</p>\n<p>For this reason, we are looking to add a Sales representative in the territory. This Sales representative will work under the direction of our Country Manager in Israel and be part of a team on the ground in Tel Aviv.</p>\n<p>About the Role</p>\n<p>As an Account Executive II, you&#39;ll help our future customers understand the power of Mixpanel as the best-in-class digital analytics solution in targeted markets: Greece, Cyprus, Gibraltar, and Malta. Collaboration is critical, from building solid relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team.</p>\n<p>You&#39;ll leverage your prospecting skills selling SaaS to tech companies alongside solid knowledge of Mixpanel&#39;s product and ecosystem to close new business, powering the next generation of innovative companies in these fast-growing European markets.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Half of your time will be spent closing new business opportunities, and half of your time will be spent developing a pipeline into stage two opportunities.</li>\n</ul>\n<ul>\n<li>Prospect into specific targeted accounts , build and maintain a pipeline while owning the sales cycle from start to finish.</li>\n</ul>\n<ul>\n<li>Drive awareness of Mixpanel as a solution within the marketplace and handle inbound requests from interested prospects.</li>\n</ul>\n<ul>\n<li>Maintains accurate Salesforce records related to New Business opportunities and delivers accurate weekly forecasts related to revenue targets.</li>\n</ul>\n<ul>\n<li>Approach all deals with a customer-focused mentality. 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You will also work closely with stakeholders across marketing and product to ensure the web experience aligns with key business objectives, user needs, and campaign priorities.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Managing and mentoring a team of web product managers and producers, supporting their development and ensuring high-quality execution across initiatives.</li>\n</ul>\n<ul>\n<li>Translating the north-star strategy into mid-term roadmaps and partnering with the team to define and deliver near-term priorities, features, and improvements.</li>\n</ul>\n<ul>\n<li>Leading cross-functional collaboration with web engineering, web design, and integrated marketing partners to drive high-impact enhancements to the Dropbox.com experience.</li>\n</ul>\n<ul>\n<li>Partnering with stakeholders across marketing, product, and design to align on goals, requirements, and success criteria for web initiatives.</li>\n</ul>\n<ul>\n<li>Supporting the execution of optimisation efforts, including user journey improvements, experimentation, and data-driven enhancements to engagement and conversion.</li>\n</ul>\n<ul>\n<li>Ensuring roadmap visibility, prioritisation clarity, and consistent communication with cross-functional teams and leaders regarding progress and outcomes.</li>\n</ul>\n<ul>\n<li>Maintaining a customer-first mindset, leveraging insights and qualitative and quantitative data to inform product decisions and identify opportunities for improvement.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>7+ years of product management experience with a focus on web-based products or digital experiences.</li>\n</ul>\n<ul>\n<li>2+ years managing a team of product managers; at minimum, one year mentoring and guiding other product managers as team lead.</li>\n</ul>\n<ul>\n<li>Demonstrated experience translating strategic direction into actionable product roadmaps and delivering high-quality digital experiences.</li>\n</ul>\n<ul>\n<li>Strong understanding of web technologies, user experience principles, and the product development lifecycle.</li>\n</ul>\n<ul>\n<li>Proven ability to collaborate effectively with engineering, design, data, and marketing teams to deliver cohesive web experiences.</li>\n</ul>\n<ul>\n<li>Experience using data, experimentation, and analytics to guide decision-making and optimise user journeys and conversion funnels.</li>\n</ul>\n<ul>\n<li>Strong organisational and communication skills, with the ability to manage multiple priorities, maintain alignment across stakeholders, and communicate product updates clearly.</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Experience collaborating with integrated marketing teams or supporting marketing-driven web initiatives.</li>\n</ul>\n<ul>\n<li>Experience working in both product-led and sales-led software-as-a-service environments.</li>\n</ul>\n<ul>\n<li>Familiarity with content management systems such as Adobe Experience Manager, Webflow, or Contentful.</li>\n</ul>\n<ul>\n<li>Experience with web experimentation frameworks and A/B testing methodologies.</li>\n</ul>\n<ul>\n<li>Knowledge of web analytics platforms including Google Analytics, Adobe Analytics, or Amplitude.</li>\n</ul>\n<p>This role offers the opportunity to directly shape Dropbox&#39;s digital presence while gaining meaningful cross-functional exposure and driving impact at scale.</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_006cfdc5-4b5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dropbox","sameAs":"https://www.dropbox.com/","logo":"https://logos.yubhub.co/dropbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dropbox/jobs/7574740","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$181,500-$245,500 USD (US Zone 2)","x-skills-required":["product management","web-based products","digital experiences","team management","product development","user experience principles","product development lifecycle","data analysis","experimentation","analytics"],"x-skills-preferred":["content management systems","web experimentation frameworks","A/B testing methodologies","web analytics platforms"],"datePosted":"2026-04-18T15:50:48.475Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US: Select locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, web-based products, digital experiences, team management, product development, user experience principles, product development lifecycle, data analysis, experimentation, analytics, content management systems, web experimentation frameworks, A/B testing methodologies, web analytics platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":181500,"maxValue":245500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1be89b3c-bc1"},"title":"Staff Analytics Engineer","description":"<p>We are currently hiring for multiple teams:</p>\n<p>Foundational Data team: Our mission in the Foundational Data team is to build and maintain high-quality datasets frequently used across all of Airbnb. We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services. This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs.</p>\n<p>AirCover Data Foundation: The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb&#39;s AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests.</p>\n<p>As a Staff Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. We are looking for someone with expertise in data modeling, metric development, and large-scale distributed data processing frameworks like Presto or Spark.</p>\n<p>Leveraging our internal, top-tier data tooling alongside other resources, you will empower both technical and non-technical teams across Airbnb to utilize our data for making decisions grounded in evidence. Staff-level engineers are expected to do this with a minimal amount of supervision. We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members.</p>\n<p>A Typical Day:</p>\n<ul>\n<li>Develop high-quality data assets to satisfy a wide range of use-cases</li>\n<li>Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements</li>\n<li>Collaborate and build strong partnerships with other data practitioners throughout Airbnb</li>\n<li>Influence the trajectory of data in decision making</li>\n<li>Improve trust in our data by championing for data quality across the stack</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>9+ years of experience with a BS/Masters or 6+ years with a PhD</li>\n<li>Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala</li>\n<li>Expertise using business intelligence and reporting tools like Superset and Tableau</li>\n<li>Expertise in large-scale distributed data processing frameworks like Presto or Spark</li>\n<li>Expertise in data modeling for data warehouses and/or metrics repositories</li>\n<li>Experience with an ETL framework like Airflow</li>\n<li>Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders</li>\n<li>Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies</li>\n<li>Experience exploring and leveraging LLM AI’s in everyday tasks (coding, documentation, etc…)</li>\n<li>Strong capability to forge trusted partnerships across working teams</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Scaling data tasks via automation</li>\n<li>Previous experience in large-scale cloud-based software engineering or system architecture</li>\n<li>Experience with AB experimentation</li>\n<li>Familiarity with AI/ML algorithms, including their dependencies on data, as well as their respective strengths and limitations</li>\n<li>Designing and/or leveraging high-quality data visualization tools</li>\n</ul>\n<p>Your Location: 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 $194,000-$240,000 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_1be89b3c-bc1","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/7733495","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$194,000-$240,000 USD","x-skills-required":["SQL","Python","Scala","Presto","Spark","Superset","Tableau","ETL","Airflow","Data Modeling","Data Warehousing","Metrics Repositories"],"x-skills-preferred":["LLM AI","AI/ML Algorithms","Data Visualization","Cloud-Based Software Engineering","System Architecture","AB Experimentation"],"datePosted":"2026-04-18T15:50:40.547Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, Scala, Presto, Spark, Superset, Tableau, ETL, Airflow, Data Modeling, Data Warehousing, Metrics Repositories, LLM AI, AI/ML Algorithms, Data Visualization, Cloud-Based Software Engineering, System Architecture, AB Experimentation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":194000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_187c3f4d-ff9"},"title":"Senior Product Manager, Growth","description":"<p>We&#39;re looking for a Senior Product Manager to lead Growth initiatives across top-of-funnel optimization and pricing &amp; 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In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.</p>\n<p>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. 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This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS Safety organisation.</p>\n<p>As a Staff Advanced Analyst, you will be a data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data-informed decisions. You will drive day-to-day analytics and create scalable data tools, identify pain points in travelling and hosting, and work with product leadership to improve experiences for our guest, host, and agent community.</p>\n<p>In addition, you will leverage Airbnb&#39;s rich and unique data, state-of-the-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organisation. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals to help keep Airbnb&#39;s community safe and trusted.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading and driving data-driven roadmaps for the CS Safety working groups</li>\n<li>Recommending actionable solutions backed by data and metrics to product and operational problems</li>\n<li>Building and owning an insights and reporting platform that measures and improves the effectiveness of behaviours, product interfaces, and processes across the CS Safety platform and contact centre network</li>\n<li>Performing data modelling of the various entities using tools and frameworks for optimising community and agent experiences</li>\n<li>Defining and evaluating key metrics in an unstructured problem space, including measurement of the ML models that drive product development</li>\n<li>Anticipating emerging safety risks through early-warning indicators, trend analysis, predictive modelling, and scenario planning to assess operational risk</li>\n<li>Influencing data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs, and planning among others</li>\n<li>Influencing experimentation and measurement strategies; conducting power analyses, defining exit criteria, and using statistical models to improve inference</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)</li>\n<li>Experience supporting safety, risk, Trust &amp; Safety, compliance, or employee wellbeing in high-volume call centre or customer operations environments</li>\n<li>Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)</li>\n<li>Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting</li>\n<li>Working knowledge of schema design and high-dimensional data modelling (ETL framework like Airflow)</li>\n<li>Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment</li>\n<li>Comfortable operating independently with minimal planning, direction, and supervision</li>\n<li>Proven track record of influencing senior leaders and driving outcomes</li>\n</ul>\n<p>Experience Level: Staff Employment Type: Full-time Workplace Type: Remote Category: Engineering Industry: Technology Salary Range: $176,000-$220,000 USD Required Skills: SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models Preferred Skills: Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics</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_3ff860ce-94c","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/7579193","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$176,000-$220,000 USD","x-skills-required":["SQL","Python","R","Machine Learning","Data Analysis","Data Modelling","Causal Inference","Experimentation","Statistical Models"],"x-skills-preferred":["Data Science","Operations Research","Statistics","Econometrics","Computer Science","Engineering","Mathematics"],"datePosted":"2026-04-18T15:47:55.305Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"engineering","industry":"technology","skills":"SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models, Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1051437d-3f6"},"title":"Senior Data Scientist, Consumer","description":"<p>We are seeking a Senior Data Scientist to join our Consumer Data Science team. As a Senior Data Scientist, you will play a significant role in driving the success of key product areas at Reddit, including Consumer, Ads, and Safety. You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations</li>\n<li>Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests</li>\n<li>Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly</li>\n<li>Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact</li>\n<li>Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes</li>\n<li>Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research</li>\n<li>For M.S. holders: 5+ years of industry experience in applied science or data science roles</li>\n<li>For Ph.D. holders: 4+ years of industry experience in applied science or data science roles</li>\n<li>Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python)</li>\n<li>Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques</li>\n<li>Comfortable in innovative and fast-paced environments, and a bias toward action</li>\n<li>Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike</li>\n<li>Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating</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>Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is $190,800-$267,100 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_1051437d-3f6","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/7275414","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,800-$267,100 USD","x-skills-required":["SQL","R","Python","online experimentation","causal inference","statistical techniques"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:47.513Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, R, Python, online experimentation, causal inference, statistical techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190800,"maxValue":267100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e559797c-6e1"},"title":"Engineering Manager, GTM Engineering","description":"<p><strong>Job Title</strong></p>\n<p>Engineering Manager, GTM Engineering</p>\n<p><strong>Job Description</strong></p>\n<p>Join us at Brex, the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. Our platform combines global corporate cards and banking with intuitive spend management, bill pay, and travel software. This enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.</p>\n<p><strong>About Brex</strong></p>\n<p>Brex is an intelligent finance platform that enables companies to spend smarter and move faster in over 200 markets. It provides global corporate cards and banking combined with intuitive spend management, bill pay, and travel software.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>You will lead the engineering team responsible for Brex&#39;s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.</li>\n<li>Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.</li>\n<li>Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.</li>\n<li>Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.</li>\n<li>Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.</li>\n<li>Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.</li>\n<li>Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.</li>\n<li>Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li>\n<li>6+ years of software engineering experience with strong technical depth.</li>\n<li>3+ years of experience managing or leading engineers in a high-growth environment.</li>\n<li>Experience architecting and building growth surfaces or marketing engineering systems.</li>\n<li>Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.</li>\n<li>Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.</li>\n<li>Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.</li>\n<li>A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience managing remote or distributed engineering teams.</li>\n<li>Experience with B2B growth.</li>\n<li>You have started your own technology venture or were a foundational engineering member of an early-stage start-up.</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</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_e559797c-6e1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8367552002","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$240,000 - $300,000","x-skills-required":["Software engineering","Technical leadership","GTM systems","Marketing automation tools","Experimentation platforms","Analytics instrumentation","Frontend development","Backend development","Data engineering","Cloud computing"],"x-skills-preferred":["Business development","Growth hacking","AI-native solutions","Machine learning","Data science"],"datePosted":"2026-04-18T15:47:26.524Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Technical leadership, GTM systems, Marketing automation tools, Experimentation platforms, Analytics instrumentation, Frontend development, Backend development, Data engineering, Cloud computing, Business development, Growth hacking, AI-native solutions, Machine learning, Data science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":300000,"unitText":"YEAR"}}},{"@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 core Ads Data Science solutions and infrastructure</li>\n<li>Identifying fundamental gaps and opportunities in our current systems and leading the strategic design and scientific roadmap for new solutions</li>\n<li>Taking end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks</li>\n<li>Establishing scientific standards and defining best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative &amp; format evaluation, measurement &amp; experimentation at scale</li>\n<li>Master&#39;s or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline</li>\n<li>Advanced proficiency in 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 href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_779cd718-611","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/7330347","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$268,000-$365,100 USD","x-skills-required":["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"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:02.115Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United 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_9692c327-3c8"},"title":"Lead, Advertising Measurement - UK","description":"<p>We&#39;re looking for an Ads Measurement Lead in London to help our advertising partners succeed on our platform. This role will be an integral part of the Marketing Sciences team, driving our value proposition to agencies and brands by demonstrating the power and performance of Reddit as a media platform.</p>\n<p>As a measurement lead, you will be a key partner to our sales team, fusing best practices, industry knowledge, and critical thinking to help clients achieve their brand and performance goals on Reddit. Your primary responsibilities will evolve over time, and there is a significant opportunity to drive impact within Reddit and support your own career growth.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Daily responsibilities will span across advertising measurement, performance optimizations, vendor development, advertising strategy, teaching and supporting our sales team, and research.</li>\n</ul>\n<ul>\n<li>Measurement knowledge including attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion and mobile tracking, 1st and 3rd party insights storytelling, and custom research.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Client Account Managers to gain a deep understanding of clients&#39; campaign setups, measurement stack and performance goals, as well as collaborate closely with Product &amp; PMM.</li>\n</ul>\n<ul>\n<li>Translate global best practices into EMEA context, creating playbooks and best practices for EMEA specific campaigns.</li>\n</ul>\n<ul>\n<li>Translate data insights into actionable recommendations with clear justifications and expected outcomes, maintaining regular communication of vertical updates and optimization suggestions to our team.</li>\n</ul>\n<ul>\n<li>Leverage measurement results to drive sales impact - developing benchmarks, case studies, media &amp; 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Our platform combines global corporate cards and banking with intuitive spend management, bill pay, and travel software. We&#39;re looking for an experienced Engineering Manager to lead our GTM Engineering team, responsible for building and optimising our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems.</p>\n<p>As an Engineering Manager, you will lead a high-performing team of product engineers, driving the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems. 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This role will directly report to the Director of Advanced Analytics and work closely with senior stakeholders across multiple cross-functional teams.</p>\n<p>The ideal candidate will possess a unique blend of business acumen and data science expertise. 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Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem</li>\n<li>Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications</li>\n<li>Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems</li>\n<li>Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards</li>\n<li>Implement automated testing, deployment, and rollback systems for ML models in production safety applications</li>\n<li>Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs</li>\n<li>Contribute to the development of internal tools and frameworks that accelerate safety research and deployment</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment</li>\n<li>Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX</li>\n<li>Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes)</li>\n<li>Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads</li>\n<li>Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems)</li>\n<li>Are results-oriented, with a bias towards reliability and impact in safety-critical systems</li>\n<li>Enjoy collaborating with researchers and translating cutting-edge research into production systems</li>\n<li>Care deeply about AI safety and the societal impacts of your work</li>\n</ul>\n<p>Strong candidates may have experience with:</p>\n<ul>\n<li>Working with large language models and modern transformer architectures</li>\n<li>Implementing A/B testing frameworks and experimentation infrastructure for ML systems</li>\n<li>Developing monitoring and alerting systems for ML model performance and data drift</li>\n<li>Building automated labeling systems and human-in-the-loop workflows</li>\n<li>Experience in trust &amp; safety, fraud prevention, or content moderation domains</li>\n<li>Knowledge of privacy-preserving ML techniques and compliance requirements</li>\n<li>Contributing to open-source ML infrastructure projects</li>\n</ul>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.</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_bd9625d9-99b","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/4778843008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Python","PyTorch","TensorFlow","JAX","Cloud platforms (AWS, GCP)","Container orchestration (Kubernetes)","Distributed systems principles","Data engineering tools (Spark, Airflow, streaming systems)"],"x-skills-preferred":["Large language models and modern transformer architectures","A/B testing frameworks and experimentation infrastructure for ML systems","Monitoring and alerting systems for ML model performance and data drift","Automated labeling systems and human-in-the-loop workflows","Trust & safety, fraud prevention, or content moderation domains","Privacy-preserving ML techniques and compliance requirements","Open-source ML infrastructure projects"],"datePosted":"2026-04-18T15:44:06.907Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, JAX, Cloud platforms (AWS, GCP), Container orchestration (Kubernetes), Distributed systems principles, Data engineering tools (Spark, Airflow, streaming systems), Large language models and modern transformer architectures, A/B testing frameworks and experimentation infrastructure for ML systems, Monitoring and alerting systems for ML model performance and data drift, Automated labeling systems and human-in-the-loop workflows, Trust & safety, fraud prevention, or content moderation domains, Privacy-preserving ML techniques and compliance requirements, Open-source ML infrastructure projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d3e2a5d0-a3f"},"title":"UX Designer - Growth/Monetization","description":"<p>We&#39;re looking for a passionate UX Designer – Growth / Monetization to own the end-to-end subscription experience and drive measurable growth for xAI&#39;s consumer and platform products.</p>\n<p>You&#39;ll design intuitive, high-conversion journeys that turn curious users into loyal subscribers: optimizing discovery, pricing, checkout, onboarding, billing, upgrades/downgrades, retention nudges, and churn prevention.</p>\n<p>You&#39;ll work closely with growth leads, engineers, researchers, and revenue stakeholders to turn complex business requirements into elegant, accessible, and delightful experiences that directly impact sign-ups, retention, expansion revenue, and lifetime value.</p>\n<p>This is an excellent opportunity for a data-driven UX designer who combines deep user empathy, rigorous experimentation, systematic thinking, and hands-on design craft , and who loves both strategic growth discovery and pixel-perfect execution.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead end-to-end Growth UX for subscription products and monetization features across web, mobile, and cross-platform surfaces</li>\n</ul>\n<ul>\n<li>Conduct targeted user research (funnel analysis, usability testing, interviews, surveys, A/B test deep-dives, contextual inquiry) focused on subscription decision points and translate insights into high-impact design decisions</li>\n</ul>\n<ul>\n<li>Create subscription-specific deliverables: user personas, journey maps, service blueprints, growth funnels, task flows, pricing &amp; billing architecture</li>\n</ul>\n<ul>\n<li>Design and prototype high-conversion flows: discovery/pricing pages, checkout, account &amp; billing management, upgrade paths, retention sequences, win-back experiences</li>\n</ul>\n<ul>\n<li>Collaborate daily with growth, product, and engineering teams to define requirements, technical constraints, experiment roadmaps, and prioritization</li>\n</ul>\n<ul>\n<li>Facilitate design critiques, growth workshops, and rapid alignment sessions with cross-functional stakeholders</li>\n</ul>\n<ul>\n<li>Operate in continuous discovery and delivery cycles (Agile/Lean) with a strong bias toward rapid experimentation and iteration</li>\n</ul>\n<ul>\n<li>Maintain and evolve design-system components for all subscription touchpoints in partnership with UI designers</li>\n</ul>\n<ul>\n<li>Measure and iteratively improve design impact using qualitative feedback + core growth metrics (subscription conversion rate, churn, upgrade/expansion revenue, LTV, task success, NPS/CSAT, funnel drop-off, etc.)</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>3–7+ years of professional UX design experience with a strong emphasis on growth UX, subscription products, SaaS monetization, or consumer subscription apps</li>\n</ul>\n<ul>\n<li>Strong portfolio demonstrating end-to-end ownership of shipped subscription/growth features , include case studies with clear problem statements, process, design decisions, experiments run, and quantifiable business outcomes (conversion lifts, churn reduction, revenue impact, etc.)</li>\n</ul>\n<ul>\n<li>Mastery of modern UX tools: Figma (primary), FigJam / Miro, and familiarity with at least one advanced prototyping tool beyond Figma (ProtoPie, Framer, Principle)</li>\n</ul>\n<ul>\n<li>Solid command of user-centered design principles, interaction patterns, accessibility (WCAG), and growth-design best practices (friction removal, progressive disclosure, personalization, loss aversion, etc.)</li>\n</ul>\n<ul>\n<li>Proven experience conducting and synthesizing qualitative + quantitative research, including funnel/deep-dive analysis and A/B test interpretation</li>\n</ul>\n<ul>\n<li>Excellent communication &amp; storytelling skills , able to present and defend designs to non-designers using data and growth narratives</li>\n</ul>\n<ul>\n<li>Comfortable working in ambiguous, fast-moving environments with imperfect information and aggressive growth targets</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Direct experience designing subscription experiences for consumer products</li>\n</ul>\n<ul>\n<li>Track record of optimizing pricing pages, checkout flows, billing portals, or churn-prevention sequences with measurable revenue impact</li>\n</ul>\n<ul>\n<li>Deep familiarity with experimentation frameworks (A/B testing, multivariate, bandit tests) and growth metric frameworks (AARRR / Pirate Metrics, North Star metrics, retention curves)</li>\n</ul>\n<ul>\n<li>Hands-on experience contributing to design systems and reusable subscription component libraries</li>\n</ul>\n<ul>\n<li>Previous exposure to front-end development basics (HTML/CSS, responsive behavior, design tokens)</li>\n</ul>\n<ul>\n<li>Background in service design, content strategy, or UX writing for monetization and retention touchpoints</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>$120,000 - $280,000 USD</p>\n<p>Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p>ITAR Requirements:</p>\n<p>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. 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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p><strong>What is the Developer Led Growth (DLG) Team?</strong></p>\n<p>At the heart of our mission is a simple goal: to make choosing and integrating authentication a delightful experience for every developer.</p>\n<p>We’re the DLG team, essentially Product Led Growth (PLG), but for developers using Auth0. We are a high-impact, multidisciplinary engine that includes Developer Relations, Developer Marketing, our Startup Program, Product Activation and Conversion. We don&#39;t just move metrics, we build the journey that turns curious developers into lifelong advocates.</p>\n<p><strong>Why This Role?</strong></p>\n<ul>\n<li>Great Visibility: You will provide the analytical backbone for the entire DLG organisation, turning cross-functional data into a unified narrative.</li>\n</ul>\n<ul>\n<li>Autonomy: We trust you to own your domain. This isn&#39;t a role for a cog in the machine, you’ll have the freedom to identify opportunities and drive the strategy.</li>\n</ul>\n<ul>\n<li>True Variety: From analysing startup ecosystem trends to optimising conversion funnels, no two weeks will look the same.</li>\n</ul>\n<ul>\n<li>Deep Collaboration: You’ll sit at the intersection of product, marketing, and community, working with stakeholders across the entire company to fuel our growth.</li>\n</ul>\n<p>If you’re a curious analyst who thrives in a fast-paced, developer first environment and wants to see their work directly influence how the world’s engineers build, we’d love to meet you.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and maintain Tableau dashboards and reports related to the DLG business</li>\n</ul>\n<ul>\n<li>Build and maintain DBT models and custom SQL queries to analyse DLG business</li>\n</ul>\n<ul>\n<li>Investigate and understand discrepancies in the data</li>\n</ul>\n<ul>\n<li>Help DLG automate and scale processes, find areas of opportunity for process improvements.</li>\n</ul>\n<ul>\n<li>Analyse A/B experiments and DLG initiatives.</li>\n</ul>\n<ul>\n<li>Collaborate with sales, ops, marketing, finance and product to understand their challenges, dive into the data and share insights that solve business problems.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>+5 years of experience working in data analytics-related fields.</li>\n</ul>\n<ul>\n<li>Bachelor’s degree in math, statistics, computer science, economics or relevant field.</li>\n</ul>\n<ul>\n<li>Strong proficiency in SQL and data modelling: cleaning, modelling and transforming large and complex datasets into usable and trusted models.</li>\n</ul>\n<ul>\n<li>Familiarity with DBT (data build tool), Git and Snowflake data warehouse is preferred.</li>\n</ul>\n<ul>\n<li>Working knowledge of visualisation tools, ideally Tableau, and Google Sheets.</li>\n</ul>\n<ul>\n<li>Ability to analyse data discrepancies and troubleshoot data issues.</li>\n</ul>\n<ul>\n<li>Excellent problem-solving skills with the ability to think critically and translate complex data into actionable insights.</li>\n</ul>\n<ul>\n<li>Familiar with AI tooling, e.g. Copilot, Clay.</li>\n</ul>\n<ul>\n<li>Excellent verbal and written communication skills, with the ability to collaborate with cross-functional teams including technical teams (data engineering) and business users (marketing, product, revenue, etc).</li>\n</ul>\n<ul>\n<li>Stakeholder management and prioritisation skills</li>\n</ul>\n<p>Nice to have</p>\n<ul>\n<li>PLG experience</li>\n</ul>\n<ul>\n<li>Experience building and working with AI Agents</li>\n</ul>\n<ul>\n<li>Translating complex developer behaviour into product insights</li>\n</ul>\n<ul>\n<li>AB testing experimentation experience</li>\n</ul>\n<ul>\n<li>Revenue modelling and forecasting knowledge</li>\n</ul>\n<p>The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $114,000-$156,200 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_25a942db-90e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7683013","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$114,000-$156,200 USD","x-skills-required":["SQL","DBT","Git","Snowflake data warehouse","Tableau","Google Sheets","AI tooling","Copilot","Clay"],"x-skills-preferred":["PLG experience","Experience building and working with AI Agents","Translating complex developer behaviour into product insights","AB testing experimentation experience","Revenue modelling and forecasting knowledge"],"datePosted":"2026-04-18T15:44:01.511Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago, Illinois; 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This is a high-impact, high-autonomy role at the intersection of product, engineering, and go-to-market , and the surface area is expanding fast.</p>\n<p>You&#39;ll bring structure to ambiguity, move fast, and build something that compounds. You&#39;ll have full end-to-end ownership of the growth motion , strategy, experimentation, and the number. You&#39;ll have a direct line to leadership, high visibility across the org, and the resources to move fast and make a real dent.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the full growth funnel , set the strategy, define the metrics, and drive acquisition, activation, retention, and expansion across our developer platform</li>\n<li>Identify and build the compounding loops that turn great developer experience into organic growth , referrals, word of mouth, community, virality</li>\n<li>Deeply instrument the product to understand where developers convert, where they drop off, and what moves the needle</li>\n<li>Run a high-velocity experimentation program , rapid A/B tests, sharp hypotheses, and a relentless focus on finding what works</li>\n<li>Unlock new growth channels: SEO, lifecycle, partnerships, PLG motions , and figure out which bets compound fastest at our scale</li>\n<li>Open up an entirely new growth surface: AI agents are becoming first-class users of developer platforms, and nobody has cracked how to acquire, activate, and retain them yet</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4+ years in product, 2–3+ with true end-to-end ownership of growth , you&#39;ve moved a metric that mattered and can show your work</li>\n<li>Deep growth craft , funnel analysis, cohort modeling, experimentation design, channel strategy. You think in loops, not campaigns</li>\n<li>Experience with developer-facing or API-first products , Web2 (Stripe, Twilio, Vercel) or Web3, fluency in either translates</li>\n<li>Analytical and decisive , you build models fast, pressure-test assumptions, and act on signal</li>\n<li>Strong enough to align engineering, marketing, and sales around a growth motion without direct authority</li>\n</ul>\n<p>Benefits and Perks:</p>\n<ul>\n<li>Medical, Dental, &amp; Vision</li>\n<li>Gym Reimbursement</li>\n<li>Home Office Build-out Budget</li>\n<li>In-Office Group Meals</li>\n<li>Wellbeing &amp; Mental Health Perks</li>\n<li>Learning &amp; Development Stipend</li>\n<li>Company Sponsored Conferences &amp; Events</li>\n<li>HSA and FSA Plans</li>\n<li>Fertility Benefits</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_06f8fa30-38f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Alchemy","sameAs":"https://www.alchemy.com/","logo":"https://logos.yubhub.co/alchemy.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/alchemy/jobs/4678597005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 - $220,000 annually","x-skills-required":["growth craft","funnel analysis","cohort modeling","experimentation design","channel strategy","developer-facing products","API-first products","Web2","Web3"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:43:59.936Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States, San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"growth craft, funnel analysis, cohort modeling, experimentation design, channel strategy, developer-facing products, API-first products, Web2, Web3","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a171e23-fcc"},"title":"Engineering Manager, GTM Engineering","description":"<p>Why join us</p>\n<p>Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.</p>\n<p>Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world&#39;s best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.</p>\n<p>Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</p>\n<p>Engineering</p>\n<p>Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level , from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.</p>\n<p>What you’ll do</p>\n<p>You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.</p>\n<p>Where you’ll work</p>\n<p>This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.</li>\n<li>Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.</li>\n<li>Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.</li>\n<li>Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.</li>\n<li>Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.</li>\n<li>Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.</li>\n<li>Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.</li>\n<li>Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li>\n<li>6+ years of software engineering experience with strong technical depth.</li>\n<li>3+ years of experience managing or leading engineers in a high-growth environment.</li>\n<li>Experience architecting and building growth surfaces or marketing engineering systems.</li>\n<li>Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.</li>\n<li>Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.</li>\n<li>Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.</li>\n<li>A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.</li>\n</ul>\n<p>Bonus points</p>\n<ul>\n<li>Experience managing remote or distributed engineering teams.</li>\n<li>Experience with B2B growth.</li>\n<li>You have started your own technology venture or were a foundational engineering member of an early-stage start-up. 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Drive a single, cohesive narrative combining disparate data sets.\\n\\nInspire experimentation adoption in teams. Build the frameworks and structure to drive experimentation rigor and clarity of incrementally of marketing initiatives.\\n\\nSupport Media Mix Modelling (MMM) and Multi-Touch Attribution (MTA) initiatives to understand the impact of various marketing channels on Sign Ups, SQLs, activations, and guide budget allocation.\\n\\nTranslate complex data sets into actionable insights and strategic recommendations for exec-level audiences.\\n\\nOwn enablement efforts for emerging channels, sharing accomplishments, KPIs, and cross-team collaborations broadly across the marketing organisation.\\n\\nQualifications\\n\\nTwilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.\\n\\nIf your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio.\\n\\nWe are always looking for people who will bring something new to the table!\\n\\n* Required:\\n\\n5+ years of experience in statistical analysis, experimentation and/or scenario planning.\\n\\nA strong understanding of SEO and emerging AI Search (AEO/GEO) landscapes.\\n\\nA hypothesis-driven thinker who does not just report the “what,” but actively tests the “why”. Able to formulate testable guesses and distill the essential from complex marketing data.\\n\\nExperience with running or interpreting advanced measurement frameworks (Incrementality, MMM, MTA).\\n\\nHighly reliable and a self-starter.\\n\\nInterest or experience in applying AI-driven solutions to analytics workflows.\\n\\nStrong communication skills with the ability to communicate effectively with both technical and non-technical audiences\\n\\nDetail-oriented with a passion for clean, trustworthy data.\\n\\nStrong analytical skills.\\n\\nExcellent collaborator across cross-functional teams; skilled in managing stakeholder projects end-to-end.\\n\\nDesired:\\n\\nExperience supporting various stakeholder functions and their insights: Brand, PR, Social, Content, Demand Generation\\n\\nExperience with BI tools (Tableau, Looker Studio) and modelling (ROI, LTV:CAC, payback).\\n\\nInterest or exposure to fraud monitoring tools and processes.\\n\\nWorking knowledge of Customer Data Platforms (CDPs) and analytics data integrations.\\n\\nLocation\\n\\nThis role will be remote, and based in Alberta, British Columbia, or Ontario, Canada.\\n\\nTravel\\n\\nWe prioritise connection and opportunities to build relationships with our customers and each other.\\n\\nFor this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.\\n\\nWhat We Offer\\n\\nWorking at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings programme, and much more.\\n\\nOfferings vary by location.\\n\\nBased on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programmes, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.\\n\\nThe estimated pay ranges for this role are as follows:\\n\\n$90,800 - $113,500 CAD\\n\\nTarget Bonus Percentage 12.50%\\n\\nThe successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.\\n\\nTwilio thinks big. Do you?\\n\\nWe like to solve problems, take initiative, pitch in when needed, and are always up for trying new things.\\n\\nThat&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic.\\n\\nAdditionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.\\n\\nSo, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!\\n\\nIf this role isn’t what you’re looking for, please consider other open positions.\\n\\nTwilio is proud to be an equal opportunity employer.\\n\\nWe do not discriminate based upon race, religion, colour, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.\\n\\nWe also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.\\n\\nQualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.\\n\\nAdditionally, Twilio participates in the E-Verify programme in certain locations, as required by law.</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_32a63583-c9b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7736722","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$90,800 - $113,500 CAD","x-skills-required":["statistical analysis","experimentation","scenario planning","SEO","AI Search (AEO/GEO) landscapes","hypothesis-driven thinking","advanced measurement frameworks","Incrementality","Media Mix Modelling (MMM)","Multi-Touch Attribution (MTA)","communication skills","data analysis","clean, trustworthy data","analytical skills","collaboration","project management"],"x-skills-preferred":["BI tools (Tableau, Looker Studio)","modelling (ROI, LTV:CAC, payback)","fraud monitoring tools and processes","Customer Data Platforms (CDPs)","analytics data integrations"],"datePosted":"2026-04-18T15:41:42.004Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"statistical analysis, experimentation, scenario planning, SEO, AI Search (AEO/GEO) landscapes, hypothesis-driven thinking, advanced measurement frameworks, Incrementality, Media Mix Modelling (MMM), Multi-Touch Attribution (MTA), communication skills, data analysis, clean, trustworthy data, analytical skills, collaboration, project management, BI tools (Tableau, Looker Studio), modelling (ROI, LTV:CAC, payback), fraud monitoring tools and processes, Customer Data Platforms (CDPs), analytics data integrations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":90800,"maxValue":113500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_40d7aa0b-d9c"},"title":"Principal Data Scientist","description":"<p>We are looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership , translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors.</p>\n<p>Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator , someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage.</p>\n<p>As a Principal Data Scientist, you will:</p>\n<ul>\n<li>Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors , ensuring data science insights directly inform the company&#39;s most critical decisions.</li>\n<li>Serve as the company&#39;s chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems.</li>\n<li>Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story.</li>\n<li>Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning , the kind of synthesized, judgment-rich insight that AI cannot autonomously create.</li>\n<li>Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made.</li>\n<li>Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. 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This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.</p>\n<p>When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.</p>\n<p>The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead and grow a team of prompt engineers and platform software engineers</li>\n<li>Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship</li>\n<li>Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces</li>\n<li>Be a steady hand through model launches , these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic</li>\n<li>Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure</li>\n<li>Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior</li>\n<li>Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them</li>\n<li>Push the team toward measuring things that are hard to measure , behavioral drift, prompt quality, harness parity , not just things that are easy</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers</li>\n<li>A track record of building “pits of success” , tooling and process that made it easy for other teams to do the right thing without needing to understand all the details</li>\n<li>Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once</li>\n<li>Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs , you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.</li>\n<li>A product mindset and willingness to wear multiple hats when the work calls for it</li>\n<li>Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives , negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it</li>\n<li>Experience recruiting and closing senior ICs in a competitive market</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Prior exposure to LLM evals, ML experimentation platforms, or model quality work , even tangentially</li>\n<li>Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems</li>\n<li>Background in devtools, CI/CD platforms, or testing infrastructure at scale</li>\n<li>A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability</li>\n<li>Interest in AI safety and alignment , not required, but it makes the “why” of the work land harder</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren’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.</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_0806749e-694","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/5159608008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Software engineering","Team management","Platform ownership","Service-to-other-teams","Launch-driven operational rhythm","System design","Pipeline architecture","Product mindset","Peer relationships","Recruiting and closing senior ICs"],"x-skills-preferred":["LLM evals","ML experimentation platforms","Model quality work","A/B testing infrastructure","Feature flagging","Gradual rollout systems","Devtools","CI/CD platforms","Testing infrastructure","AI safety and alignment"],"datePosted":"2026-04-18T15:39:18.064Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Team management, Platform ownership, Service-to-other-teams, Launch-driven operational rhythm, System design, Pipeline architecture, Product mindset, Peer relationships, Recruiting and closing senior ICs, LLM evals, ML experimentation platforms, Model quality work, A/B testing infrastructure, Feature flagging, Gradual rollout systems, Devtools, CI/CD platforms, Testing infrastructure, AI safety and alignment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_94ea9db5-d52"},"title":"Growth Marketing Manager – Lifecycle","description":"<p>We&#39;re looking for a strategic, hands-on Growth Marketing Manager – Lifecycle to own and optimize the full post-acquisition customer journey for xAI&#39;s subscription products.</p>\n<p>You&#39;ll design, build, and iterate personalized, automated programs across email, SMS, push, in-app messaging, and other channels to turn curious users into loyal, high-value Grok subscribers , driving engagement, adoption, retention, expansion, and reduced churn.</p>\n<p>This role sits at the intersection of growth marketing, product, data, and customer success. You&#39;ll combine behavioural insights, segmentation, experimentation, and creative storytelling to measurably increase customer lifetime value, net revenue retention, and overall subscription growth.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own end-to-end lifecycle strategy and execution: map customer journeys, define key stages (onboarding, activation, habit formation, expansion, renewal, win-back), and build multi-channel automated flows</li>\n</ul>\n<ul>\n<li>Develop and launch high-impact campaigns and nurtures (welcome series, product education, milestone triggers, re-engagement, upsell/cross-sell, churn prevention, and subscription reactivation)</li>\n</ul>\n<ul>\n<li>Build and refine audience segments using behavioural, usage, and subscription data to deliver hyper-personalized experiences</li>\n</ul>\n<ul>\n<li>Partner closely with product, data/analytics, customer success, and engineering teams to align on triggers, messaging, and technical implementation</li>\n</ul>\n<ul>\n<li>Set up, monitor, and optimize experiments (A/B, multivariate) to continuously improve open rates, click-through, conversion, retention, expansion revenue, and churn metrics</li>\n</ul>\n<ul>\n<li>Analyze performance using SQL, Amplitude/Mixpanel, and other tools to identify drop-offs, opportunities, and ROI; report on key KPIs (activation rate, D30/D90 retention, expansion revenue, churn rate, LTV uplift, NRR)</li>\n</ul>\n<ul>\n<li>Collaborate on content creation (copy, creative assets) and ensure brand voice consistency across all lifecycle touchpoints</li>\n</ul>\n<ul>\n<li>Maintain and evolve the lifecycle marketing roadmap in line with product launches, seasonal campaigns, and business priorities</li>\n</ul>\n<p><strong>Basic Qualifications:</strong></p>\n<ul>\n<li>4–7+ years of experience in lifecycle marketing, retention/growth marketing, CRM marketing, or customer marketing (B2C e-commerce, SaaS, fintech, or consumer tech strongly preferred)</li>\n</ul>\n<ul>\n<li>Proven track record owning lifecycle programs that drove measurable improvements in retention, engagement, expansion, or revenue (please share case studies or results in your application)</li>\n</ul>\n<ul>\n<li>Hands-on expertise with marketing automation &amp; CRM platforms (Braze, Iterable, Customer.io, Klaviyo, or similar)</li>\n</ul>\n<ul>\n<li>Strong analytical skills , comfortable writing SQL for cohort analysis, funnel deep-dives, and behavioural metrics</li>\n</ul>\n<ul>\n<li>Experience building and testing multi-channel journeys (email + SMS + push + in-app)</li>\n</ul>\n<ul>\n<li>Excellent copywriting and storytelling skills , you can craft compelling, customer-centric messaging that converts</li>\n</ul>\n<ul>\n<li>Data-driven mindset with a bias for action and rapid iteration</li>\n</ul>\n<p><strong>Preferred Skills and Experience:</strong></p>\n<ul>\n<li>Experience with advanced segmentation and personalization using tools like Segment, mParticle, or Census</li>\n</ul>\n<ul>\n<li>Background in product-led growth (PLG) environments or hybrid PLG/subscription models</li>\n</ul>\n<ul>\n<li>Familiarity with loyalty/rewards programs, referral mechanics, or subscription optimization (pricing, billing, upgrades/downgrades)</li>\n</ul>\n<ul>\n<li>Exposure to AI-driven personalization or predictive churn modelling</li>\n</ul>\n<ul>\n<li>Knowledge of web/mobile analytics (Google Analytics 4, Amplitude, Mixpanel) and experimentation platforms (Optimizely, VWO, Eppo)</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_94ea9db5-d52","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5055608007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$125,000 - $225,000 USD","x-skills-required":["Lifecycle marketing","Retention/growth marketing","CRM marketing","Customer marketing","Marketing automation","CRM platforms","SQL","Amplitude/Mixpanel","Copywriting","Storytelling"],"x-skills-preferred":["Advanced segmentation","Personalization","Product-led growth","Loyalty/rewards programs","Referral mechanics","Subscription optimization","AI-driven personalization","Predictive churn modelling","Web/mobile analytics","Experimentation platforms"],"datePosted":"2026-04-18T15:38:57.110Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Lifecycle marketing, Retention/growth marketing, CRM marketing, Customer marketing, Marketing automation, CRM platforms, SQL, Amplitude/Mixpanel, Copywriting, Storytelling, Advanced segmentation, Personalization, Product-led growth, Loyalty/rewards programs, Referral mechanics, Subscription optimization, AI-driven personalization, Predictive churn modelling, Web/mobile analytics, Experimentation platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c969383-410"},"title":"Research Engineer / Scientist (3D Tech Lead)","description":"<p>We&#39;re looking for a Tech Lead for 3D Modeling &amp; Reconstruction to set technical direction and drive execution for our core 3D modeling efforts. This role is ideal for someone with a strong research science (RS) or research engineering (RE) background who has made meaningful contributions to the field of 3D reconstruction and/or modeling,through academic publications, widely used open-source projects, or production systems deployed at scale.</p>\n<p>This is a hands-on leadership role. You&#39;ll combine deep technical expertise with the ability to guide a high-impact team, shaping both the research roadmap and the production systems that bring modern 3D modeling methods into real-world products. You&#39;ll work closely with research, engineering, and product partners to translate cutting-edge ideas into reliable, scalable capabilities.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Setting the technical vision and roadmap for 3D modeling and reconstruction, balancing research exploration with product-driven milestones.</li>\n<li>Leading the design and implementation of state-of-the-art 3D modeling systems, spanning geometry, appearance, and scene-level representations.</li>\n<li>Driving innovation in modern 3D modeling approaches, including learning-based and optimization-based methods, with an eye toward robustness, scalability, and real-world data.</li>\n<li>Guiding architectural decisions around 3D representations, training pipelines, and inference systems, ensuring they integrate cleanly with broader 3D data and rendering platforms.</li>\n<li>Leading and mentoring a small team of research scientists and/or research engineers: providing technical guidance, setting high standards, and fostering a culture of rigor and ownership.</li>\n<li>Owning end-to-end execution of key initiatives, from early research prototypes through production deployment and iteration.</li>\n<li>Collaborating closely with cross-functional partners to align 3D modeling capabilities with product needs, timelines, and quality bars.</li>\n<li>Representing the team and its work internally and externally, including contributing to publications, technical talks, or open-source efforts where appropriate.</li>\n<li>Continuously evaluating emerging research and industry trends in 3D modeling and reconstruction, and translating the most promising ideas into actionable plans.</li>\n</ul>\n<p>-note: This job requires 8+ years of experience in 3D reconstruction, 3D modeling, computer vision, graphics, or closely related fields. A strong track record of impactful contributions to the field, demonstrated through academic publications, influential open-source work, or widely deployed industry products.</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_5c969383-410","directApply":true,"hiringOrganization":{"@type":"Organization","name":"World Labs","sameAs":"https://worldlabs.ai","logo":"https://logos.yubhub.co/worldlabs.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/worldlabs/jobs/4110164009","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$250,000 - $350,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)","x-skills-required":["3D reconstruction","3D modeling","computer vision","graphics","Python","C++","machine learning frameworks","large-scale experimentation or training pipelines"],"x-skills-preferred":[],"datePosted":"2026-04-17T13:10:14.156Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"3D reconstruction, 3D modeling, computer vision, graphics, Python, C++, machine learning frameworks, large-scale experimentation or training pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":350000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2e513a92-ec5"},"title":"Research Scientist (Generative Modeling)","description":"<p>We are seeking a talented Research Scientist with a strong background in generative modeling, particularly diffusion models, to join our modeling team. This role is ideal for candidates with deep expertise in diffusion models applied to images, videos, or 3D assets and scenes.</p>\n<p>While experience in one or more of the following areas is a strong plus: large-scale model training, research in 3D computer vision.</p>\n<p>You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.</p>\n<p>Key responsibilities include designing, implementing, and training large-scale diffusion models for generating 3D worlds, developing and experimenting with large-scale diffusion models to add novel control signals, adapting to target aesthetic preferences, or distilling for efficient inference, collaborating closely with research and product teams to understand and translate product requirements into effective technical roadmaps, contributing hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment, continuously exploring and integrating cutting-edge research in diffusion and generative AI more broadly, acting as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineering.</p>\n<p>Ideal candidate profile includes 3+ years of experience in generative modeling or applied ML roles, extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models, deep expertise in at least one area of generative modeling, strong history of publications or open-source contributions involving large-scale diffusion models, strong coding proficiency in Python and experience with GPU-accelerated computing, ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes, comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.</p>\n<p>Nice to have includes contributions to open-source projects in the fields of computer vision, graphics, or ML, familiarity with large-scale training infrastructure, experience integrating machine learning models into production environments, led or been involved with the development or training of large-scale, state-of-the-art generative models.</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_2e513a92-ec5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"World Labs","sameAs":"https://worldlabs.ai","logo":"https://logos.yubhub.co/worldlabs.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/worldlabs/jobs/4089324009","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$250,000 - $325,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)","x-skills-required":["generative modeling","diffusion models","PyTorch","TensorFlow","machine learning frameworks","large-scale model training","research in 3D computer vision","data 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cross-functionally with Engineering, Design, Sales, and Account Management teams</li>\n<li>Gathering and synthesizing customer insights to shape roadmap priorities</li>\n<li>Translating user needs into detailed requirements, use cases, and product flows</li>\n<li>Launching new (0→1) products and iterating based on user feedback</li>\n<li>Establishing and tracking key success metrics to measure product impact</li>\n<li>Ensuring consistency and quality across a broader suite of integrated products</li>\n<li>Acting as the internal advocate for government users and their operational needs</li>\n</ul>\n<p>What We’re Generally Looking For</p>\n<ul>\n<li>5–7+ years of experience in Product Management, particularly in enterprise or B2B products</li>\n<li>Experience launching new products (0→1) and scaling them successfully</li>\n<li>Strong analytical mindset and ability to use data to inform decisions</li>\n<li>Ability to define clear strategy, priorities, and goals and drive execution across teams</li>\n<li>Excellent communication skills across technical and non-technical stakeholders</li>\n<li>Experience working in Agile development environments</li>\n<li>Comfort operating independently in fast-paced, evolving environments</li>\n</ul>\n<p>Compensation (Future Opportunities – California)</p>\n<p>For future Senior Product Manager roles based in California, the expected base salary range is approximately $160,000 – $185,000 annually.</p>\n<p>Benefits</p>\n<p>Wonderschool offers a competitive benefits package, which may include:</p>\n<ul>\n<li>Health benefits with up to 100% coverage for employee premiums and up to 80% for dependents</li>\n<li>Wifi, employee wellness, and co-working reimbursements</li>\n<li>Flexible PTO, paid holidays, and mental wellness days</li>\n<li>Competitive parental leave (eligible after 6 months of employment)</li>\n<li>A fully remote, highly collaborative work environment</li>\n<li>A mission-driven culture focused on ownership, impact, and growth</li>\n</ul>\n<p>Additional Notes</p>\n<p>This is not an active job opening and does not guarantee an interview or offer.</p>\n<p>Role scope, level, and compensation may vary based on business needs.</p>\n<p>Candidates may be contacted if and when a relevant opening becomes available.</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_de45aea5-ece","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Wonderschool","sameAs":"https://www.wonderschool.com/","logo":"https://logos.yubhub.co/wonderschool.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/wonderschool/jobs/5915971003","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 – $185,000 annually","x-skills-required":["Product Management","Enterprise or B2B products","Agile development environments","Data 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We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>As Product Lead - Growth, you will oversee one of Plaid&#39;s highest-breadth portfolios. You&#39;ll lead PMs across Growth, Web, and Customer Foundations, setting strategy for funnel optimization, down-market acquisition, enterprise enablement, and the customer lifecycle model. You will partner deeply with Engineering, Design, BI/DS, Marketing, Sales, and Partnerships to shape growth motions across all GTM channels.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead PMs across Growth, Web, and Customer Foundations.</li>\n<li>Define the end-to-end growth strategy across website, PLG, SMB, enterprise, and partnerships.</li>\n<li>Own core funnel performance: traffic → MQL → onboarding → activation.</li>\n<li>Drive scalable SMB and long-tail customer acquisition motions.</li>\n<li>Partner with Sales and Partnerships to support large enterprise deals, identify product gaps, and shape deal mechanics.</li>\n<li>Oversee onboarding risk engine and customer compliance workflows.</li>\n<li>Build and operationalize Plaid’s Customer Lifecycle Model (CLM) to ensure clean customer state and entitlement logic.</li>\n<li>Use data to identify funnel opportunities, segment users, validate hypotheses, and drive experimentation.</li>\n<li>Make resource allocation and prioritization decisions across a high-breadth portfolio.</li>\n<li>Communicate strategy, tradeoffs, and insights to Executive, GTM, and Engineering leadership</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>8-10+ years of product management experience, including 2+ years managing PMs.</li>\n<li>Demonstrated success leading PLG or B2B growth at scale.</li>\n<li>Strong analytical and funnel optimization skills; comfort with data modeling and experimentation.</li>\n<li>Deep experience partnering with GTM teams (Sales, Partnerships, Marketing).</li>\n<li>Experience supporting enterprise deals or partnership motions.</li>\n<li>Demonstrated ability to operate across multiple domains: growth, risk, compliance, onboarding, internal systems.</li>\n<li>Excellent communication and cross-functional leadership skills</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.</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_571471d0-f38","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/b87c595b-b231-4a86-bffa-450e3f9dc335","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-329,400 per year","x-skills-required":["product management","growth strategy","funnel optimization","data modeling","experimentation","cross-functional leadership"],"x-skills-preferred":["fintech","onboarding","risk","compliance"],"datePosted":"2026-04-17T12:51:31.721Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"product management, growth strategy, funnel optimization, data modeling, experimentation, cross-functional leadership, fintech, onboarding, risk, compliance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":329400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_49daeb0d-88d"},"title":"Senior Data Scientist - Fraud","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>As a Senior Data Scientist on Plaid&#39;s Fraud Data team, you will analyse customer and network traffic to understand how Protect performs across different segments and use cases. 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whitespaces, and emerging trends enterprise product management.</p>\n</li>\n<li><p>Validate product direction: Engage directly with customers and partners to validate positioning, value propositions and feature priorities.</p>\n</li>\n</ul>\n<p>Build &amp; Ship</p>\n<ul>\n<li><p>Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration,balancing speed, quality, and user delight.</p>\n</li>\n<li><p>Champion the user: Partner with design and research to craft intuitive, high-impact and developer first experiences, using data and feedback to refine continuously.</p>\n</li>\n</ul>\n<p>Scale &amp; Execute</p>\n<ul>\n<li><p>Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.</p>\n</li>\n<li><p>Align stakeholders: Rally science, engineering, design and business teams around priorities, trade-offs and timelines.</p>\n</li>\n<li><p>Prioritize ruthlessly: Maintain a 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appreciation for technical constraints and trade-offs.</p>\n</li>\n<li><p>Direct experience building or scaling LLM-powered products, with a strong understanding of how generative AI impacts product discovery, roadmapping, evaluation, and iteration cycles.</p>\n</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_8a684a49-9b7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/650e0e53-dc35-4e61-9b46-6f7ef003d0be","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product management","AI","GenAI","large language models","developer-facing products","developer tools","software engineering","product strategy","roadmap 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You&#39;ll define how data is built, governed, and leveraged , shaping a culture where anyone can access trusted data, ask hard questions, and self-serve at scale. You&#39;ll architect the systems that help Mercury move faster, invest smarter, and make better decisions at every level.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build, lead, and develop a high-performing team of 30+ data scientists and data engineers embedded across GTM, Core Product, and Risk, ensuring Mercury&#39;s most important decisions are grounded in rigorous, trusted data.</li>\n<li>Define and execute a forward-looking data strategy that embeds rigorous, data-driven decision-making into how Mercury sets company priorities, builds products, and manages risk.</li>\n<li>Lead Mercury&#39;s evolution toward self-serve data at scale by shipping high-leverage data platforms that empower teams to move quickly from question to insight to action.</li>\n<li>Elevate data reliability, governance, and security as core capabilities by shaping the standards and systems required to operate as a scaled financial institution.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of experience, including 4+ years managing a team of data science or data engineering managers.</li>\n<li>Track record of partnering with and influencing executives, equipping them with the tools, reporting, and advanced analytics needed to make decisions , proactively surfacing opportunities and risks they may not see.</li>\n<li>Bring strong opinions on how data should inform decision-making, with the ability to translate that perspective into scalable practices and standards.</li>\n<li>Have deep expertise in data science, machine learning, statistics, financial calculations, and experimentation for commercial applications.</li>\n<li>Experience developing high-performing data teams, setting a high talent bar while fostering an inspiring environment of ownership, growth, and impact.</li>\n<li>Have developed self-service analytics capabilities at scale, expanding access to reliable data and powering AI-enabled insights for business and product teams.</li>\n<li>Partner effectively with People, Legal, Compliance, and Privacy teams to ensure that we are enforcing best practices and compliant standards for data privacy and security.</li>\n</ul>\n<p>Total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.</p>\n<p>Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate&#39;s experience, expertise, geographic location, and internal pay equity relative to peers.</p>\n<p>Our target new hire base salary ranges for this role are:</p>\n<ul>\n<li>US employees: $320,000-$420,000</li>\n<li>Canadian employees (any location): CAD $302,400-$396,900</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_e4305742-104","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5812226004","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$320,000-$420,000 (US employees), CAD $302,400-$396,900 (Canadian employees)","x-skills-required":["data science","machine learning","statistics","financial calculations","experimentation","data governance","data security","data engineering","team management"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:45:31.179Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Fintech","skills":"data science, machine learning, statistics, financial calculations, experimentation, data governance, data security, data engineering, team management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":302400,"maxValue":420000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_92afbf41-913"},"title":"Senior Data Science Manager","description":"<p>We&#39;re looking for a Senior Data Science Manager to lead the data science powering Mercury&#39;s revenue and product value engine. This team supports Go-To-Market functions across Finance, Marketing, and Sales, drives growth product experimentation across activation and conversion, and partners on core product experiences like Spend, Expense Management, and Invoicing.</p>\n<p>In this role, you&#39;ll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle , with a high bar for rigor and a bias toward execution. You&#39;ll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences</li>\n<li>Define the measurement and experimentation strategy across the customer lifecycle , from acquisition and activation to monetization, expansion, and retention , ensuring our investments are grounded in rigorous analysis and trusted data</li>\n<li>Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity</li>\n<li>Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions</li>\n<li>Translate complex quantitative signals into clear insights that influence product direction and revenue strategy</li>\n<li>Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences</li>\n<li>Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>10+ years of experience, with 3+ years leading high-performing data teams</li>\n<li>Deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes</li>\n<li>Strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments</li>\n<li>Highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs</li>\n<li>Experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains</li>\n<li>Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact</li>\n</ul>\n<p>Total rewards package includes base salary, equity (stock options), and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.</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_92afbf41-913","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5973037004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$239,000 - $298,800 (US employees) or CAD 225,900 - 282,400 (Canadian employees)","x-skills-required":["data science","growth analytics","monetization analytics","commercial performance measurement","experimentation design","attribution","causal inference","scalable analytics systems","self-serve capabilities","AI-enabled insights"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:45:05.709Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Fintech","skills":"data science, growth analytics, monetization analytics, commercial performance measurement, experimentation design, attribution, causal inference, scalable analytics systems, self-serve capabilities, AI-enabled insights","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":225900,"maxValue":298800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e40c9d51-b26"},"title":"Growth Marketing Manager, Conversion & Experimentation","description":"<p>We&#39;re looking for a strategic, data-driven Growth Marketing Manager, Conversion &amp; Experimentation to optimize the full digital customer journey across our fintech ecosystem. The role will be critical to optimize from first visit and all owned platform touchpoints up until registration, purchase, onboarding, and lifecycle engagements.</p>\n<p>This role sits at the intersection of growth marketing, UX design, product merchandising, experimentation, and marketing technology infrastructure. You will drive measurable revenue growth by improving how financial products are presented, how users move through our conversion funnels, and how marketing performance is tracked and optimized.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing and leading the full-funnel Conversion Rate Optimization (CRO) roadmap aligned to both registration and device purchase growth targets</li>\n<li>Designing and executing A/B and multivariate testing strategies across marketing pages, signup flows, onboarding, and upsell experiences</li>\n<li>Building a structured experimentation backlog informed by analytics, user behavior insights, and growth hypotheses</li>\n<li>Prioritizing tests using impact/effort/confidence frameworks</li>\n<li>Documenting experiment learnings to inform product, marketing, and lifecycle strategy</li>\n</ul>\n<p>You will own critical MarTech enablement, ensuring marketing teams have the correct tracking, tagging, QA processes, and experimentation frameworks to operate with speed and accuracy.</p>\n<p>This role reports to the Director, Growth Marketing.</p>\n<p><strong>What you’ll bring to the team:</strong></p>\n<ul>\n<li>5 to 8 years in Conversion Rate Optimization (CRO), growth marketing, product growth or performance UX roles</li>\n<li>Experience in fintech, financial services, or regulated industries preferred</li>\n<li>Proven track record increasing conversion rates through experimentation and UX optimizations</li>\n<li>Hands-on experience managing MarTech stacks and marketing tracking implementations</li>\n<li>Experience collaborating with marketing, product, engineering, analytics and lifecycle teams</li>\n</ul>\n<p><strong>Preferred experience:</strong></p>\n<ul>\n<li>Proven ownership of marketing tracking architecture to ensure accurate measurement across acquisition and conversion funnels</li>\n<li>Hands-on experience implementing and managing tagging frameworks using tools like GTM, Segment, or similar platforms</li>\n<li>Strong collaboration with analytics and engineering teams to define and maintain event tracking standards</li>\n<li>Track record of ensuring clean, reliable data collection across landing page interactions, plan selection, registration start, activation events, and downstream handoffs</li>\n<li>Led QA processes for marketing tracking implementations, validating tag performance across devices and environments</li>\n<li>Maintained clear documentation for event schemas, tracking plans, and tagging governance</li>\n<li>Supported campaign launches through tracking validation, troubleshooting, and debugging</li>\n</ul>\n<p><strong>Work perks at Greenlight:</strong></p>\n<ul>\n<li>Medical, dental, vision, and HSA match</li>\n<li>Paid life insurance, AD&amp;D, and disability benefits</li>\n<li>Traditional 401k with company match</li>\n<li>Unlimited PTO</li>\n<li>Paid company holidays and pop-up bonus holidays</li>\n<li>Professional development stipends</li>\n<li>Mental health resources</li>\n<li>1:1 financial planners</li>\n<li>Fertility healthcare</li>\n<li>100% paid parental and caregiving leave, plus cleaning service and meals during your leave</li>\n<li>Flexible WFH, both remote and in-office opportunities</li>\n<li>Fully stocked kitchen, catered lunches, and occasional in-office happy hours</li>\n<li>Employee resource groups</li>\n</ul>\n<p><strong>Additional Information:</strong></p>\n<p>Our stance on salaries: Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more.</p>\n<p>Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.</p>\n<p>The estimated base pay range for this position in (NY, CA, WA): $105,000- 145,000</p>\n<p>The estimated base pay range for this position in (CO): $105,000- 135,000</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e40c9d51-b26","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Greenlight","sameAs":"https://www.greenlight.com/","logo":"https://logos.yubhub.co/greenlight.com.png"},"x-apply-url":"https://jobs.lever.co/greenlight/6fbf65d3-cd37-4c5b-938a-5f8f50b6df52","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$105,000- 145,000","x-skills-required":["Conversion Rate Optimization (CRO)","Growth Marketing","UX Design","Product Merchandising","Experimentation","Marketing Technology Infrastructure","MarTech Enablement","Tracking","Tagging","QA Processes","Experimentation Frameworks"],"x-skills-preferred":["Fintech","Financial Services","Regulated Industries","Marketing Tracking Architecture","Tagging Frameworks","Event Tracking Standards","Clean Data Collection","Landing Page Interactions","Plan Selection","Registration Start","Activation Events","Downstream Handoffs"],"datePosted":"2026-04-17T12:37:33.275Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Finance","skills":"Conversion Rate Optimization (CRO), Growth Marketing, UX Design, Product Merchandising, Experimentation, Marketing Technology Infrastructure, MarTech Enablement, Tracking, Tagging, QA Processes, Experimentation Frameworks, Fintech, Financial Services, Regulated Industries, Marketing Tracking Architecture, Tagging Frameworks, Event Tracking Standards, Clean Data Collection, Landing Page Interactions, Plan Selection, Registration Start, Activation Events, Downstream Handoffs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":105000,"maxValue":145000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7ad7d70c-0aa"},"title":"Senior Software Engineer, Full-Stack","description":"<p>We&#39;re looking for a Senior Software Engineer, Full-Stack to join our Web Registration team. This team focuses on core functionalities for the registration flow, including experimentation, activation and validations. You will be expected to make contributions to our frontend and backend services as required to accomplish the team deliverables.</p>\n<p>As a Senior Software Engineer, you will be responsible for building new experiences for the Greenlight Registration Flow. Work with domain teams, product managers and designers to improve the growth of users through the registration flow. You will also support the existing architecture of Greenlight registration and build on it, focusing on growth.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building new experiences for the Greenlight Registration Flow</li>\n<li>Working with domain teams, product managers and designers to improve the growth of users through the registration flow</li>\n<li>Supporting the existing architecture of Greenlight registration and building on it, focusing on growth</li>\n<li>Scaling and maintaining our backend services to evolve with new feature requests and support our growing user base</li>\n<li>Improving the reliability and availability of the platform which supports our families and partners</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>3+ years software development experience</li>\n<li>Ability to context switch effectively and prioritize work in a fast-paced, evolving environment</li>\n<li>Strong focus on performance, scalability, and observability when designing and building systems</li>\n<li>Experience building single page applications using a modern framework</li>\n<li>Experience building REST APIs</li>\n<li>Recent experience developing backend services with Node.js</li>\n<li>Ability to operate in a fast, iterative development environment, applying build/measure/learn principles to rapidly deliver features, evaluate impact, and continuously improve the product</li>\n</ul>\n<p>Preferred experience includes:</p>\n<ul>\n<li>Experience with A/B testing and experimentation</li>\n<li>Experience working with modern MarTech tools such as Segment, Optimizely, and Mixpanel</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_7ad7d70c-0aa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Greenlight","sameAs":"https://www.greenlight.com/","logo":"https://logos.yubhub.co/greenlight.com.png"},"x-apply-url":"https://jobs.lever.co/greenlight/83ce1d5b-a2c2-4765-aaae-585d93023af6","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$142,000-210,000","x-skills-required":["Node.js","React","NextJS","Remix","REST","Express","AWS","Kubernetes","Kotlin"],"x-skills-preferred":["A/B testing","Experimentation","Segment","Optimizely","Mixpanel"],"datePosted":"2026-04-17T12:35:22.463Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Node.js, React, NextJS, Remix, REST, Express, AWS, Kubernetes, Kotlin, A/B testing, Experimentation, Segment, Optimizely, Mixpanel","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":142000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f1dd2777-187"},"title":"Sr/Staff Software Engineer - Payments","description":"<p>We are seeking a skilled Software Engineer to join our Engineering team in San Francisco. The successful candidate will help design and build the next generation of usage-based billing systems that integrate tightly with Stripe and Orb, power real-time usage tracking, and deliver accurate, flexible billing experiences for customers.</p>\n<p>As a Sr/Staff Software Engineer, you will work cross-functionally with Product, Finance, and Infrastructure teams to ensure our billing system is robust, accurate, and capable of supporting new pricing models as our product grows.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design and build event-driven billing systems that process real-time usage data.</li>\n<li>Integrate with Orb for usage metering and Stripe for payments and invoicing.</li>\n<li>Build Python-based microservices running on Kubernetes to handle billing workflows.</li>\n<li>Develop data storage and processing flows for downstream analysis in BigQuery.</li>\n<li>Collaborate with product engineers to build Next.js dashboards and admin tools for billing insights and reconciliation.</li>\n<li>Ensure billing systems are accurate, auditable, and scalable to support new product launches and pricing models.</li>\n<li>Partner with Finance to automate reporting, reconciliation, and revenue analytics.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience with usage-based billing systems or event-driven architectures.</li>\n<li>Strong Python skills for backend microservices.</li>\n<li>Familiarity with Stripe (payments, invoicing) and Orb (usage metering) APIs.</li>\n<li>Experience with Postgres for transactional data and BigQuery for analytics.</li>\n<li>Experience with Kubernetes and containerized deployments.</li>\n<li>Ability to build admin interfaces or customer dashboards using Next.js.</li>\n<li>Comfort working with event-driven data pipelines (e.g., Kafka, Pub/Sub, or similar).</li>\n<li>Strong cross-functional collaboration skills with Finance, Product, and Data teams.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with FinTech, SaaS, or cloud usage billing at scale.</li>\n<li>Familiarity with cloud providers (AWS, GCP) and their billing models.</li>\n<li>Knowledge of pricing experimentation or monetization platforms.</li>\n</ul>\n<p>Compensation:</p>\n<ul>\n<li>$160,000 - $200,000 + equity + comprehensive benefits package</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_f1dd2777-187","directApply":true,"hiringOrganization":{"@type":"Organization","name":"fal","sameAs":"https://fal.com","logo":"https://logos.yubhub.co/fal.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/fal/jobs/4063798009","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 - $200,000","x-skills-required":["Python","Stripe","Orb","Postgres","BigQuery","Kubernetes","Next.js","event-driven data pipelines"],"x-skills-preferred":["FinTech","SaaS","cloud usage billing","cloud providers","pricing experimentation or monetization platforms"],"datePosted":"2026-04-17T12:32:10.513Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Stripe, Orb, Postgres, BigQuery, Kubernetes, Next.js, event-driven data pipelines, FinTech, SaaS, cloud usage billing, cloud providers, pricing experimentation or monetization platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_757bdb97-464"},"title":"Builder of Homeowner Supply Growth Engine","description":"<p>About Belong</p>\n<p>We believe in a world where homes are owned by regular people, not corporations. Our mission is to provide authentic belonging experiences, empowering residents to become homeowners and homeowners to achieve financial freedom.</p>\n<p>The Role</p>\n<p>This is a builder role with direct P&amp;L impact. You will own and scale the homeowner supply growth engine (across acquisition, onboarding, activation, and retention). You’ll be the GM of your own system, driving strategy and execution for a full-stack, AI-first funnel. You’ll ship fast, measure everything, and bring a growth obsession that matches our ambition.</p>\n<p>Responsibilities</p>\n<p>• Build an AI-native homeowner acquisition funnel.\n• Personalized onboarding experiences that adapt dynamically based on user attributes, preferences, and model predictions.\n• Automated pricing, trust-building, and documentation flows that reduce friction and compress time-to-value.\n• Predictive scoring and routing systems to prioritize the right leads, with the right incentives, at the right moment.\n• Internal AI copilots that handle verification, follow-up, and workflow automation, freeing humans to do only what humans must.\n• A scalable measurement framework across the funnel, with source attribution and model-driven forecasting.</p>\n<p>Your Mandate</p>\n<p>• Own strategy and execution for Belong’s homeowner funnel, from first click to full activation.\n• Identify bottlenecks and explode them with product.\n• Partner with leaders to deeply link paid acquisition with in-product performance, and ensure sales and operations can deliver on the promise of Belong.\n• Define success metrics, instrument everything, and build dashboards that replace guesswork with precision.\n• Write crisp PRDs, wireframe smart workflows, and ship frequently.\n• Operate as both a strategic thinker and a tactical executor, you will lead and build.</p>\n<p>What You Bring</p>\n<p>• 2+ years of experience in product management with ownership over growth funnels, ideally in a B2C or marketplace company.\n• You’ve driven CAC down, LTV up, and activation time down with product, not just marketing.\n• You’ve shipped AI-powered product features and understand LLMs, embeddings, and prompt engineering.\n• You’ve built experiments with rigor and made hard calls with imperfect data.\n• You understand user psychology and can design onboarding flows that convert skeptics into champions.\n• You communicate clearly, lead cross-functional pods, and get things shipped.\n• You play to win.</p>\n<p>What Success Looks Like In Year 1</p>\n<p>• Homeowner acquisition costs are down, speed to activation is up, and conversion is accelerating.\n• AI is integrated across the funnel, delivering measurable improvements in cost, quality, and experience.\n• Experimentation velocity is high, insights are trustworthy, and every major decision has a clear metric trail.\n• The growth engine is humming, and you’re in the driver’s seat.</p>\n<p>Qualifications</p>\n<p>• 2+ years of product management experience, preferably in consumer marketplaces or high-growth startups\n• Demonstrated success driving growth initiatives in customer acquisition and retention\n• Experience working across the AARRR funnel (Acquisition, Activation, Retention, Referral, Revenue)\n• Strong understanding of UX principles and ability to turn concepts into high-fidelity wireframes and designs.\n• Proven ability to lead cross-functional teams in a fast-moving, ambiguous environment\n• Excellent communication, collaboration, and stakeholder management skills\n• Familiarity with experimentation frameworks and statistical methods\n• Experience integrating or working with AI technologies to enhance product capabilities\n• Entrepreneurial mindset with a bias for action and a focus on delivering value quickly\n• And you&#39;re pithy.</p>\n<p>Additional Information</p>\n<p>Who You Are</p>\n<p>You don’t want to maintain someone else’s system, you want to build your own. You’re competitive. You run toward outcomes, not away from problems. You are customer-obsessed but ruthless about the business. You think in feedback loops. You crave autonomy and accountability. You’ve been underestimated before, and you’re not done proving people wrong.</p>\n<p>You want to build a lasting product, and you know growth is where the game is won or lost.</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_757bdb97-464","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Belong","sameAs":"https://www.belong.com/","logo":"https://logos.yubhub.co/belong.com.png"},"x-apply-url":"https://jobs.lever.co/belong/f678d5b3-973f-4500-8c69-b012f475d012","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Management","Growth Funnels","AI-Powered Product Features","LLMs","Embeddings","Prompt Engineering","Experimentation Frameworks","Statistical Methods","UX Principles","High-Fidelity Wireframes","Design"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:23:07.161Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Growth Funnels, AI-Powered Product Features, LLMs, Embeddings, Prompt Engineering, Experimentation Frameworks, Statistical Methods, UX Principles, High-Fidelity Wireframes, Design"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a11aa870-6cd"},"title":"Growth Operations Manager","description":"<p>Role Details</p>\n<p>This is a Growth Operations Manager role at Belong, a venture-backed, AI-powered, people-delivered nationwide housing platform. The role is focused on increasing homeowner lead-to-listing conversion and compressing time-to-live across every market Belong operates in.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Own the full homeowner acquisition funnel, from lead capture through property going live</li>\n<li>Identify leaks in the funnel and design interventions to improve conversion rates</li>\n<li>Run structured experiments across the funnel to measure the impact of interventions</li>\n<li>Partner with the AI/engineering team to improve qualification models, routing logic, and automated communications</li>\n<li>Obsess over the gap between &#39;agreement signed&#39; and &#39;property live&#39; to compress cycle time</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>AI Native: think in cohorts and funnels, not averages</li>\n<li>Experience in a marketplace, two-sided platform, or supply-acquisition environment</li>\n<li>Bias toward speed and experimentation over perfect analysis</li>\n<li>Can articulate a specific time they personally identified a conversion lever and moved a number</li>\n</ul>\n<p>Why This Role Matters</p>\n<p>Every homeowner Belong doesn&#39;t convert or onboard fast enough is revenue left on the table for 12+ months. At our growth rate, even a 200–300 bps improvement in lead-to-listing conversion translates into meaningful incremental ARR.</p>\n<p>Compensation</p>\n<p>Competitive base salary + equity. 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That’s what the Experience team is all about.</p>\n<p>We’re looking for a Group Product Manager to join Core Experience, leading a group of product managers responsible for key parts of Spotify’s end-to-end mobile experience on iOS and Android. This includes features that millions of users interact with every day, for example Your Library, as well as the shared UI and interaction patterns that underpin Spotify’s mobile product.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead and develop a group of Product Managers, building strong product leadership, clear ownership, and healthy team dynamics.</li>\n<li>Define and drive product vision, strategy, and success metrics for initiatives within Core Experience, aligning teams around shared goals and priorities.</li>\n<li>Own and evolve a multi-team product roadmap, balancing new opportunities, platform investments, technical health, and ongoing experience improvements.</li>\n<li>Partner closely with Design, Engineering, Data Science, and User Research to identify user needs, validate hypotheses, and deliver cohesive end-to-end experiences.</li>\n<li>Collaborate with peers and senior partners across Spotify, communicating plans, progress, and tradeoffs while aligning with broader company objectives.</li>\n<li>Enable adjacent teams and product areas by building Core Experience capabilities and patterns that scale across the organization.</li>\n<li>Champion experimentation and learning, supporting teams in modern A/B testing, data-informed decision-making and iterative delivery.</li>\n<li>Stay close to the work, maintaining a hands-on approach while operating at a strategic, multi-team level.</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>An expert product leader with prior people-management experience, including leading Product Managers across multiple teams.</li>\n<li>Proven in building and scaling consumer-facing products, with strong instincts for high-quality user experiences.</li>\n<li>Comfortable driving product strategy across several teams, navigating interdependencies and tradeoffs.</li>\n<li>Highly collaborative, with deep experience partnering with Design, Engineering, Data, and Insights.</li>\n<li>Broadly technically proficient, with familiarity in AI- and ML-enabled experiences, experimentation, and modern product development practices.</li>\n<li>Data-informed and driven by results, using insights and metrics to guide prioritization and strategy.</li>\n<li>A clear and compelling communicator, able to influence team members across functions and levels.</li>\n<li>Thoughtful and resilient when working through ambiguity, balancing strong product intuition with critical thinking</li>\n</ul>\n<p><strong>Where You’ll Be</strong></p>\n<ul>\n<li>We offer you the flexibility to work where you work best! 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As a Staff Engineer - Web Tech Lead, you will lead the technical implementation of the GeminiApp web application, with a focus on the visual response rendering that is used across all the GeminiApp teams. You will lead a team of engineers spanning from the web client to the backend services.</p>\n<p>You will be the key owner of the interface powering the Gemini machine learning models responses and how it is presented to the user. As a horizontal team, you will build bullet-proof web frameworks that are used by our team internally and externally to interface with XXXM+ DAU.</p>\n<p>Collaborating closely with UX, PM, and other cross-functional partners, you will serve as a thought leader in the evolution of GeminiApp into a natively AI-driven application, effectively bridging the gap between imaginative vision and technical feasibility.</p>\n<p>Direct the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features.</p>\n<p>Serve as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies.</p>\n<p>In order to set you up for success as a Staff Engineer at Google DeepMind, we look for the following skills and experience:</p>\n<p>Proven experience as a technical lead with a track record of leading high-performing web-application engineering teams.</p>\n<p>Extensive professional experience and expert-level proficiency in web applications/mobile mobile development, with a history of shipping complex, user-facing applications at scale.</p>\n<p>Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners.</p>\n<p>A passion for developing engineers, with direct experience in mentoring and career growth development.</p>\n<p>Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders.</p>\n<p>The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d444fc30-be8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7607252","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$197,000 - $291,000 + bonus + equity + benefits","x-skills-required":["web applications/mobile mobile development","technical lead","large-scale technical projects","team roadmaps","architectural decisions"],"x-skills-preferred":["Websockets/Real Time Applications","Javascript/Typescript expertise","Familiarity with LLM systems and AI integrations into consumer applications","Experimentation Frameworks"],"datePosted":"2026-03-16T14:44:10.908Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"web applications/mobile mobile development, technical lead, large-scale technical projects, team roadmaps, architectural decisions, Websockets/Real Time Applications, Javascript/Typescript expertise, Familiarity with LLM systems and AI integrations into consumer applications, Experimentation Frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":197000,"maxValue":291000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ad2a74b4-ccf"},"title":"Research Scientist, Reinforcement Learning","description":"<p>We&#39;re looking for talented Research Scientists to push forward fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.</p>\n<p>About Us</p>\n<p>DeepMind&#39;s RL team is a long-standing and tight-knit team of collaborative scientists and engineers, led by Tom Schaul. We tackle large scale research challenges in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade, members of the RL team have been instrumental in building DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof and Gemini.</p>\n<p>The Role</p>\n<p>As a Research Scientist, you&#39;ll use machine learning knowledge and technical know-how to innovate, drive research projects, as well as apply research to impactful problems. 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AI is a core strategic priority for the firm, embedded across Aladdin and our investment, client, and operational platforms. We are seeking an AI Infrastructure Engineer to help build and operate the foundational infrastructure that enables AI systems to scale safely, securely, and reliably across the enterprise.</p>\n<p>This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. 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Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. 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This is a Hybrid role from our Bath or London Office, working three days from the office, two from home.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Uncapped leave, because we trust you to manage your workload and time</li>\n<li>When we hit our targets, enjoy a share of our profits with a bonus</li>\n<li>Refer a friend and get rewarded when they join Future</li>\n<li>Well-being support with access to our Colleague Assistant Programmes</li>\n<li>Opportunity to purchase shares in Future, with our Share Incentive Plan</li>\n</ul>\n<p><strong>Who are we…</strong></p>\n<p>We&#39;re Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.</p>\n<p>We&#39;ve got ambitious plans that further build on our growth momentum and unlock new opportunities – and we&#39;re looking for driven people who want to be a part of it!</p>\n<p><strong>Our Future, Our Responsibility - Inclusion and Diversity at Future</strong></p>\n<p>We embrace and celebrate diversity, making it part of who we are.</p>\n<p>Different perspectives spark ideas, fuel creativity, and push us to innovate. That&#39;s why we&#39;re building a workplace where everyone feels valued, respected, and empowered to thrive.</p>\n<p>When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It&#39;s not just about what you bring to the table — it&#39;s about making sure the table has room for everyone.</p>\n<p>Because a diverse team isn&#39;t just good for business. It&#39;s the Future.</p>\n<p>Find out more about Our Future, Our Responsibility on our website.</p>\n<p>Please let us know if you need any reasonable adjustments made so we can give you the best experience!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_66bbed6c-63e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Future","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/200EE19F92","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£55,000 - £60,000","x-skills-required":["A/B testing platforms","Experimentation methodology","Statistics","Test design","Hypothesis-driven optimisation","Analytics tools","Behavioural analytics","UX/UI principles","Behavioural psychology"],"x-skills-preferred":["Data analysis","Commercial narrative creation","Cross-functional stakeholder management"],"datePosted":"2026-03-09T16:19:28.084Z","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Media","skills":"A/B testing platforms, Experimentation methodology, Statistics, Test design, Hypothesis-driven optimisation, Analytics tools, Behavioural analytics, UX/UI principles, Behavioural psychology, Data analysis, Commercial narrative creation, Cross-functional stakeholder management","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":55000,"maxValue":60000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8cca200e-08f"},"title":"Product Director","description":"<p><strong>Product Director</strong></p>\n<p><strong>General Information</strong></p>\n<p>Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.</p>\n<p>Battlefield is a storied franchise renowned for uncompromising combat gameplay and all-out warfare, for over two decades. 100 million players and 5 billion hours played later, Battlefield Studios is defining the future of the first-person shooter with the biggest launch in franchise history with Battlefield 6, and a new era beginning with Battlefield REDSEC.</p>\n<p>United under the banner of Battlefield Studios, 4 world-class teams across Criterion, DICE, Motive, and Ripple Effect have come together to focus on the future of the franchise, a connected Battlefield universe filled with immersive experiences built on our unique DNA.</p>\n<p><strong>Role Overview</strong></p>\n<p>DICE is seeking a visionary Product Director to play a key role in shaping the future of the Battlefield franchise. You will lead our product team, driving product strategy, business model definition, and live service excellence for the next evolution of Battlefield. Leveraging consumer insights, player feedback, and creative input, you will help build the foundation for the game and set measurable goals to maximize both engagement and revenue across the game’s lifecycle. Reporting to senior franchise leadership, you will help define and execute the business strategy for one of gaming’s most iconic brands.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as a core member of project leadership, partnering with, production, product and creative leads to ensure Battlefield delivers on player motivations while maximizing acquisition, engagement, and monetization.</li>\n<li>Direct, implement, and optimize essential game features and business models that fuel sustained player growth and live service revenue.</li>\n<li>Own and evolve the live service product portfolio, responsible for ongoing engagement, player progression, and in-game economy health.</li>\n<li>Define the experimentation roadmap—leading A/B and other tests to inform gameplay and commercial decisions.</li>\n<li>Develop a world-class product management team, mentoring PMs and partner teams to support growth and skill development.</li>\n<li>Develop, balance, and tune complex in-game economies and virtual goods systems across all Battlefield products.</li>\n<li>Set, monitor, and interpret KPIs and analytics dashboards to guide intelligence-driven design decisions.</li>\n<li>Collaborate cross-functionally with marketing, creative, and franchise teams to ensure product success both within the game and externally, maximizing growth and return on investment.</li>\n<li>Present quantitative product performance insights and strategic recommendations regularly to senior leadership and studio partners.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>10+ years of experience in the consumer product sector, with a strong record in high-impact product roles.</li>\n<li>Proven success launching and operating live service (PC/console) games, including senior roles in Product Management</li>\n<li>Expertise leveraging both qualitative and quantitative insights to drive product vision and design.</li>\n<li>Experience building, testing, and tuning complex in-game economies and virtual item systems.</li>\n<li>Demonstrated ability to develop and mentor product management talent across multiple teams.</li>\n<li>Mastery of structured, hypothesis-driven experimentation (A/B and multivariate testing) and metrics analysis.</li>\n<li>Deep understanding of player motivations, consumer insights, and games as a service models.</li>\n<li>Passion for video games and strong knowledge of the industry.</li>\n</ul>\n<p><strong>About Electronic Arts</strong></p>\n<p>We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.</p>\n<p>We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.</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_8cca200e-08f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Product-Director/212959","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Management","Game Development","Live Service","Product Strategy","Business Model Definition","Experimentation","Metrics Analysis","Player Motivations","Consumer Insights","Games as a Service"],"x-skills-preferred":["Structured, Hypothesis-Driven Experimentation","A/B and Multivariate Testing","Product Vision and Design","Complex In-Game Economies and Virtual Item Systems","Mentorship and Team Development"],"datePosted":"2026-03-09T11:03:05.163Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stockholm"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Game Development, Live Service, Product Strategy, Business Model Definition, Experimentation, Metrics Analysis, Player Motivations, Consumer Insights, Games as a Service, Structured, Hypothesis-Driven Experimentation, A/B and Multivariate Testing, Product Vision and Design, Complex In-Game Economies and Virtual Item Systems, Mentorship and Team Development"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_055866ad-94b"},"title":"Data Scientist III","description":"<p><strong>Data Scientist III</strong></p>\n<p>We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.</p>\n<p><strong>We Are EA</strong></p>\n<p>Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.</p>\n<p><strong>Opportunity Ahead</strong></p>\n<p>Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.</li>\n<li>Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.</li>\n<li>Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.</li>\n<li>Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.</li>\n<li>Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs</li>\n<li>Partner with product, business, and engineering to identify new data acquisition opportunities.</li>\n<li>Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.</li>\n<li>Collaborate with data engineers and software engineer across teams to serve their data needs.</li>\n<li>Evangelise data as a first-class citizen through documentation, standards, and reviews.</li>\n</ul>\n<p><strong>Must Have Skills</strong></p>\n<ul>\n<li>Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)</li>\n<li>5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.</li>\n<li>Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.</li>\n<li>Strong understanding of experimentation design and A/B testing frameworks</li>\n<li>Expert proficiency in Python frameworks (PyTorch, Scikit-learn).</li>\n<li>Experience with model monitoring and drift detection</li>\n<li>Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).</li>\n<li>Strong communication skills with the ability to translate complex models into business impact.</li>\n</ul>\n<p><strong>Desirable Skills</strong></p>\n<ul>\n<li>Experience in gaming analytics or player behaviour modelling</li>\n<li>Experience building recommendation or ranking systems</li>\n<li>Experience with cloud platforms (AWS/GCP/Azure)</li>\n</ul>\n<p><strong>What’s in it for you? Glad you asked!</strong></p>\n<p>We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance &amp; Medical, Accident &amp; life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.</p>\n<p><strong>_About Electronic Arts_</strong></p>\n<p>We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.</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_055866ad-94b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Data-Scientist-III/212228","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)","5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions","Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing","Strong understanding of experimentation design and A/B testing frameworks","Expert proficiency in Python frameworks (PyTorch, Scikit-learn)"],"x-skills-preferred":["Experience in gaming analytics or player behaviour modelling","Experience building recommendation or ranking systems","Experience with cloud platforms (AWS/GCP/Azure)"],"datePosted":"2026-03-09T10:59:22.657Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience), 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions, Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing, Strong understanding of experimentation design and A/B testing frameworks, Expert proficiency in Python frameworks (PyTorch, Scikit-learn), Experience in gaming analytics or player behaviour modelling, Experience building recommendation or ranking systems, Experience with cloud platforms (AWS/GCP/Azure)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b7b9bbb-cd9"},"title":"Product Manager EA Player Relationship Management","description":"<p><strong>Position Overview</strong></p>\n<p>At Electronic Arts, we&#39;re driving the strategy and implementation of important initiatives for EA&#39;s players to connect them to one another and to the games they love to play. These initiatives include the EA app and Franchise-specific webstores.</p>\n<p>As a Product Manager for Player Relationship Management, you will be the strategic architect of the player lifecycle. You will build systems that foster deep, long-term relationships with our global community. Your mission is to turn every player interaction into a meaningful, personalized experience that drives loyalty and growth.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lifecycle Strategy: Own the end-to-end player lifecycle strategy, focusing on deeper engagement, retention, and monetization.</li>\n<li>CRM &amp; Automation: Define the roadmap for player-facing CRM tools, automated messaging, and bespoke experiences (e.g. VIP) for our most engaged community.</li>\n<li>Data-Driven Personalization: Sophisticated player segmentation targeting and personalized game content.</li>\n<li>Cross-Functional Collaboration: Collaborate with Marketing and Game Studios to ensure events and communication plans are aligned with key in-game and regional moments.</li>\n<li>Experimentation: Design and execute A/B tests on engagement features, reward structures, and notification strategies to optimize player lifetime value (LTV).</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Experience: 3-5 years of Product Management experience, ideally within gaming.</li>\n<li>Domain Expertise: Understanding of consumer/user lifecycle, and/or CRM systems.</li>\n<li>Analytical Rigor: Metric definitions, analytical tooling and interpretation of complex behavioral data and trends.</li>\n<li>Communication: Ability to translate complex technical or data insights into actionable strategies for both creative and technical teams.</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_6b7b9bbb-cd9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Product-Manager/212497","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$100,000 - $139,500 CAD","x-skills-required":["Product Management","Gaming","CRM","Automation","Data-Driven Personalization","Cross-Functional Collaboration","Experimentation"],"x-skills-preferred":["Analytical Rigor","Metric definitions","Analytical tooling","Complex behavioral data and trends"],"datePosted":"2026-03-09T10:59:18.560Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Gaming, CRM, Automation, Data-Driven Personalization, Cross-Functional Collaboration, Experimentation, Analytical Rigor, Metric definitions, Analytical tooling, Complex behavioral data and trends","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100000,"maxValue":139500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_647aab1e-986"},"title":"BackEnd Engineer: Experiments","description":"<p><strong>About the Role</strong></p>\n<p>This is a backend role (Python services + data-heavy systems) where you&#39;ll build and maintain services for experiment assignment, logging, and report generation. You&#39;ll improve scalability, performance, and reliability of experiment reporting pipelines, add product-facing features to the UI, and take technical ownership of projects.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and maintain backend services for experiment assignment, logging, and report generation</li>\n<li>Improve scalability, performance, and reliability of experiment reporting pipelines</li>\n<li>Add product-facing features to the UI to help users launch experiments and interpret results</li>\n<li>Take technical ownership of projects: shape solutions, break down work, and drive execution with the team</li>\n<li>Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions)</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong experience building and owning production backend services in Python</li>\n<li>Experience with monitoring, alerting, and debugging user-facing systems</li>\n<li>Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics)</li>\n<li>Ability to ship maintainable software (tests, code review, incremental delivery)</li>\n</ul>\n<p><strong>Nice-to-have</strong></p>\n<ul>\n<li>Experience with experimentation systems, metrics platforms, or A/B testing workflows</li>\n<li>Experience with PySpark and/or Databricks</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time</li>\n<li>Fully remote team</li>\n<li>Work from home stipend</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget</li>\n<li>Maternity &amp; Paternity leave for qualified employees</li>\n<li>Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results</li>\n<li>Stock options</li>\n<li>Regular team offsites to connect and collaborate</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_647aab1e-986","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/9C931E93D0","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$80k–$120k USD","x-skills-required":["Python","FastAPI","PostgreSQL","Plotly Dash","PySpark/Databricks","AWS","CloudWatch","Sentry"],"x-skills-preferred":["experimentation systems","metrics platforms","A/B testing workflows","PySpark","Databricks"],"datePosted":"2026-03-09T10:58:22.242Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, Sentry, experimentation systems, metrics platforms, A/B testing workflows, PySpark, Databricks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a6ef8625-18a"},"title":"Product Manager: Experiments Team","description":"<p><strong>About the Role</strong></p>\n<p>We are looking for a Product Manager to lead Constructor&#39;s internal experimentation platform, a critical foundation for how we validate hypotheses, improve customer key business metrics, and make product decisions at scale.</p>\n<p>You will own the end-to-end evolution of the Constructor internal experimentation platform, enabling scalable, rigorous, and efficient hypothesis testing across teams. You will develop platform capabilities that connect internal experiments to customer-visible value, ensuring improvements and revenue impact are clearly understood, trusted, and communicated at scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the end-to-end evolution of the Constructor internal experimentation platform</li>\n<li>Develop platform capabilities that connect internal experiments to customer-visible value</li>\n<li>Build and automate experimentation workflows end-to-end</li>\n<li>Partner closely with Data Science, Machine Learning, Engineering, Product, and Customer Success teams</li>\n<li>Drive adoption of the experimentation platform across the organization</li>\n<li>Balance short-term platform improvements with long-term experimentation strategy</li>\n<li>Continuously improve experimentation quality, coverage, and reliability</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years of experience in Product Management, ideally in data-heavy, technical, or platform-oriented environments</li>\n<li>Strong understanding of experimentation concepts, analytics, metrics, and data-driven decision-making</li>\n<li>Proven ability to work effectively with engineering, ML, and data science teams on complex systems and trade-offs</li>\n<li>Demonstrated experience managing multiple stakeholders with diverse and sometimes conflicting priorities</li>\n<li>Strong communication skills, with the ability to translate complex technical topics into clear product decisions and narratives</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time</li>\n<li>Competitive compensation package including stock options</li>\n<li>Company-sponsored US health coverage</li>\n<li>Fully remote team</li>\n<li>Work from home stipend</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee</li>\n<li>Parental leave for qualified employees</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_a6ef8625-18a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/C3EEE4522F","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Management","Experimentation concepts","Analytics","Metrics","Data-driven decision-making","Engineering","Machine Learning","Data Science","Communication skills"],"x-skills-preferred":["Data-first product teams","Experimentation-heavy organizations","Optimization-focused domains"],"datePosted":"2026-03-09T10:57:44.661Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Experimentation concepts, Analytics, Metrics, Data-driven decision-making, Engineering, Machine Learning, Data Science, Communication skills, Data-first product teams, Experimentation-heavy organizations, Optimization-focused domains"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_00293e22-37c"},"title":"Senior Product Marketing Director","description":"<p>We are seeking a driven and intellectually curious Senior Product Marketing Director to play an integral role in the GTM strategy for the most innovative platform in ecommerce search and product discovery.</p>\n<p>This role will be responsible for building out the Product Marketing practice at Constructor - owning Constructor’s product positioning, messaging architecture, launch strategy, and competitive intelligence.</p>\n<p>Reporting to the Chief Marketing Officer, you’ll partner closely with sales, product, customer success, growth marketing, and executive leadership to help ecommerce retailers understand the advantages to using Constructor.</p>\n<p>Constructor is an incredibly powerful and broad platform with a high velocity of feature and product releases designed for different types of users across ecommerce.</p>\n<p>We&#39;re looking for someone who can bring clarity and precision to that complexity: someone who can define and articulate what makes each product or capability truly differentiated, and help ensure customers and prospects alike understand the full value of each element.</p>\n<p>This position is equal parts strategist and builder - setting direction, developing people, and rolling up your sleeves to build the many artifacts that form a robust product marketing org.</p>\n<p>You will work closely with our product leaders to launch new products, add-ons and features, with our content marketing team to create thought leadership, with growth marketing to drive pipeline and product content and with sales to ensure the GTM functions are enabled on key launches and competitors.</p>\n<p>Any feature or product launch, with the product team, will include a bill of materials focused on value proposition, personas, objection handling, competition and more.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Product Positioning and messaging</p>\n<ul>\n<li>Define and evolve clear, differentiated positioning across our platform, products, and key features</li>\n</ul>\n<ul>\n<li>Translate complex product capabilities into customer-facing language that emphasizes outcomes and value</li>\n</ul>\n<ul>\n<li>Build and maintain messaging frameworks that scale across marketing, sales, and customer teams</li>\n</ul>\n<ul>\n<li>Create educational content in the form of thought leadership content, blog posts, tutorials, videos etc. that support initiatives</li>\n</ul>\n<ul>\n<li>Collaborate with the content and growth marketing team on customer story and case study creation</li>\n</ul>\n<ul>\n<li>Equip Sales with the narratives, tools, and content to win</li>\n</ul>\n<p>Go-to-market leadership</p>\n<ul>\n<li>Lead and orchestrate product launches from strategy through execution that are crisp, focused, and actually land with customers</li>\n</ul>\n<ul>\n<li>Partner with Product on roadmap communication and prioritization</li>\n</ul>\n<ul>\n<li>Identify gaps in capabilities and proactively build the function to address them</li>\n</ul>\n<p>Customer &amp; market insight</p>\n<ul>\n<li>Be the voice of the customer and the market internally</li>\n</ul>\n<ul>\n<li>Drive deep understanding of buyer personas, ICP, industry knowledge, use cases, and buying triggers</li>\n</ul>\n<ul>\n<li>Own competitive intelligence and positioning</li>\n</ul>\n<p>Team leadership</p>\n<ul>\n<li>Build, mentor, and lead a high-performing product marketing team</li>\n</ul>\n<ul>\n<li>Partner closely with Product, Demand, and Sales leaders</li>\n</ul>\n<ul>\n<li>Leverage AI and modern tools to gain insights, streamline processes, and improve efficiency</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years in B2B SaaS marketing, with significant product marketing leadership experience</li>\n</ul>\n<ul>\n<li>Background in ecommerce and/or retail tech is a plus</li>\n</ul>\n<ul>\n<li>Experience at high-growth startups where agility, resourcefulness, and a strong sense of ownership are vital</li>\n</ul>\n<ul>\n<li>Proven success owning positioning, messaging, and GTM for complex, technical products</li>\n</ul>\n<ul>\n<li>Experience managing and scaling PMM teams</li>\n</ul>\n<p><strong>Skills</strong></p>\n<ul>\n<li>Exceptional storyteller — written, verbal, and visual - who brings creativity to every element</li>\n</ul>\n<ul>\n<li>Deep comfort with technical or complex products and familiarity with AI/ML fundamentals</li>\n</ul>\n<ul>\n<li>Strong cross-functional leader who can influence without authority</li>\n</ul>\n<ul>\n<li>Analytical mindset with the ability to support strategic decisions with market research and performance data; skilled in ROI analysis and experimentation.</li>\n</ul>\n<ul>\n<li>Excellent project management and attention to detail, able to manage complex initiatives from concept to execution.</li>\n</ul>\n<ul>\n<li>A growth mindset with creativity, ambition, and a proactive approach to problem-solving and innovation.</li>\n</ul>\n<p><strong>Mindset</strong></p>\n<ul>\n<li>Customer-obsessed and market-driven</li>\n</ul>\n<ul>\n<li>Strategic thinker who still enjoys being hands-on</li>\n</ul>\n<ul>\n<li>Comfortable with ambiguity and rapid change</li>\n</ul>\n<ul>\n<li>Creative mind who brings fresh perspectives</li>\n</ul>\n<ul>\n<li>High standards, low ego</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year</li>\n</ul>\n<ul>\n<li>A competitive compensation package including stock options</li>\n</ul>\n<ul>\n<li>Fully remote team - choose where you live</li>\n</ul>\n<ul>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office</li>\n</ul>\n<ul>\n<li>Apple laptops provided for new employees</li>\n</ul>\n<ul>\n<li>Training and development budget for every employee, refreshed each year</li>\n</ul>\n<ul>\n<li>Maternity &amp; Paternity leave for qualified employees</li>\n</ul>\n<ul>\n<li>Work with smart people who will help you grow and make a meaningful impact</li>\n</ul>\n<ul>\n<li>Diversity, Equity, and Inclusion at Constructor</li>\n</ul>\n<p>At Constructor we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.</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_00293e22-37c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/FCC3186F44","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Marketing","SaaS Marketing","Ecommerce","Retail Tech","High-Growth Startups","Product Positioning","Messaging Architecture","Launch Strategy","Competitive Intelligence","Customer Success","Growth Marketing","Executive Leadership","Product Leaders","Content Marketing","Thought Leadership","Growth Marketing","Pipeline","Product Content","Sales","GTM Functions","Value Proposition","Personas","Objection Handling","Competition","AI/ML Fundamentals","Cross-Functional Leadership","Influence Without Authority","Analytical Mindset","ROI Analysis","Experimentation","Project Management","Attention to Detail","Complex Initiatives","Growth Mindset","Creativity","Ambition","Problem-Solving","Innovation"],"x-skills-preferred":[],"datePosted":"2026-03-09T10:57:03.488Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Product Marketing, SaaS Marketing, Ecommerce, Retail Tech, High-Growth Startups, Product Positioning, Messaging Architecture, Launch Strategy, Competitive Intelligence, Customer Success, Growth Marketing, Executive Leadership, Product Leaders, Content Marketing, Thought Leadership, Growth Marketing, Pipeline, Product Content, Sales, GTM Functions, Value Proposition, Personas, Objection Handling, Competition, AI/ML Fundamentals, Cross-Functional Leadership, Influence Without Authority, Analytical Mindset, ROI Analysis, Experimentation, Project Management, Attention to Detail, Complex Initiatives, Growth Mindset, Creativity, Ambition, Problem-Solving, Innovation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aed80d38-672"},"title":"UX Designer – E-commerce Research & Experience","description":"<p>We are rebuilding our web and e-commerce experience and looking for a UX Designer with a deep focus on design systems, user research, personas/cohorts, and data-informed experience design to partner with our Design Lead, Product Managers, and engineering teams.</p>\n<p>This role will own the research and customer understanding side of UX, translating insights into actionable design direction and helping deliver a world-class shopping experience for gamers across mobile, and desktop. You will be the bridge between stakeholders, product, and engineering—ensuring that what we build is deeply grounded in user needs and measurable business outcomes.</p>\n<p><strong>Key Responsibilities (Prioritized)</strong></p>\n<p><strong>1. User Research, Personas &amp; Insights (Core Focus)</strong></p>\n<ul>\n<li>Plan, conduct, and synthesize qualitative and quantitative research (usability tests, interviews, surveys, concept tests, diary studies where relevant) for key e-commerce journeys (browse, PDP, cart, checkout, support, etc.).</li>\n<li>Perform usability testing on in-flight and existing experiences; identify friction points and prioritize issues based on impact and severity.</li>\n<li>Work with Marketing to Design and analyze surveys to capture shopper and retail associate feedback; translate findings into clear, prioritized recommendations.</li>\n<li>Develop, maintain, and evolve data-backed personas and customer cohorts, incorporating behavioral analytics, survey data, and qualitative insights.</li>\n<li>Create customer journey maps, task flows, and experience blueprints that articulate pain points, opportunities, and success metrics.</li>\n<li>Partner with analytics teams (or use tools directly) to connect UX research with quantitative signals (conversion, funnel drop-off, time on task, search behavior, etc.).</li>\n</ul>\n<p><strong>2. Experience Design &amp; Delivery</strong></p>\n<ul>\n<li>Work with Product Managers, UX leadership, peers, developers, and stakeholders to conceptualize, design, and refine intuitive e-commerce experiences and components across devices.</li>\n<li>Develop and maintain interactive wireframes, flows, and prototypes (low to high-fidelity) to support product definition, experimentation, and development.</li>\n<li>Analyze user interface problems and create design solutions that balance user needs, technical constraints, and measurable business goals.</li>\n<li>Take part in ideation, scoping, and discovery for new features and initiatives, contributing customer and research perspectives to roadmap decisions.</li>\n<li>Clearly articulate design rationale and seek feedback early and often from stakeholders.</li>\n</ul>\n<p><strong>3. Cross-Functional Collaboration &amp; Execution</strong></p>\n<ul>\n<li>Act as a bridge between Product, Engineering, and stakeholders, ensuring user needs are translated into clear requirements and acceptance criteria.</li>\n<li>Partner closely with Engineering and QA to ensure UI designs are implemented to spec and perform as expected in real-world conditions.</li>\n<li>Collaborate with Product Managers to define hypotheses, success metrics, and test plans for UX improvements (e.g., A/B tests, multivariate tests).</li>\n<li>Communicate research findings and design decisions in a way that is accessible, compelling, and actionable for non-design audiences.</li>\n</ul>\n<p><strong>4. Design Systems &amp; UX Quality</strong></p>\n<ul>\n<li>Collaborate with the UI/UX Lead on maintaining consistency with the emerging design language, component library, and interaction patterns across SteelSeries experiences.</li>\n<li>Provide input and feedback on design system evolution, ensuring components support real customer needs and e-commerce use cases.</li>\n<li>Contribute to best practices, standards, and guidelines for UX and research within the team.</li>\n</ul>\n<p><strong>5. Continuous Improvement &amp; Learning</strong></p>\n<ul>\n<li>Stay current on e-commerce UX patterns, experimentation methods, and research tools; bring relevant ideas back to the team.</li>\n<li>Mentor or support junior designers or cross-functional partners in basic research methods and UX-thinking.</li>\n<li>Show clear communication abilities and a growth-oriented mindset, regularly requesting feedback and applying it to improve your work.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>Must-Have</strong></p>\n<ul>\n<li>4+ years of experience in UX/Product Design, with a meaningful portion focused on e-commerce experiences (DTC, retail, or marketplace).</li>\n<li>Demonstrated experience planning and running user research: usability testing, interviews, surveys, and synthesis into personas, journeys, and clear recommendations.</li>\n<li>Demonstrated ability to design for complex flows such as catalog browsing, product discovery, checkout, account management, or similar.</li>\n<li>Advanced proficiency with modern design and prototyping tools (e.g., Figma, Sketch, XD, or similar).</li>\n<li>Experience working in cross-functional product teams (PM, engineering, data, marketing, operations).</li>\n<li>Ability to define and track UX success metrics in partnership with Product and Analytics (e.g., conversion, drop-off, NPS, CSAT, task success).</li>\n<li>Excellent written and verbal communication; comfortable presenting to stakeholders at different levels.</li>\n<li>Portfolio that shows end-to-end ownership from research and insight through to shipped experiences and measurable impact.</li>\n</ul>\n<p><strong>Nice-to-Have</strong></p>\n<ul>\n<li>Experience in gaming, consumer electronics, or enthusiast communities.</li>\n<li>Familiarity with Contentful, SFCC, or other enterprise e-commerce/CMS platforms.</li>\n<li>Experience with A/B testing &amp; experimentation platforms.</li>\n<li>Experience building and maintaining research repositories and scalable research ops practices.</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_aed80d38-672","directApply":true,"hiringOrganization":{"@type":"Organization","name":"SteelSeries","sameAs":"https://gn.wd3.myworkdayjobs.com","logo":"https://logos.yubhub.co/gn.com.png"},"x-apply-url":"https://gn.wd3.myworkdayjobs.com/en-US/SteelSeriesCareers/job/Warszawa/UX-Designer---E-commerce-Research---Experience_R27808","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["UX Design","User Research","Personas","Insights","Design Systems","E-commerce","Experience Design","Prototyping","User Interface","Design Solutions","Cross-Functional Collaboration","Engineering","Stakeholders","Product Definition","Experimentation","Development","Design Rationale","Feedback","Design Systems Evolution","Component Library","Interaction Patterns","Best Practices","Standards","Guidelines","UX Thinking","Communication","Growth Mindset","Feedback","Design Tools","Figma","Sketch","XD","Prototyping Tools","Cross-Functional Teams","Product Managers","Engineering","Data","Marketing","Operations","UX Success Metrics","Conversion","Drop-off","NPS","CSAT","Task Success","Written Communication","Verbal Communication","Presenting","Stakeholders","Portfolio","End-to-End Ownership","Research","Insight","Shipped Experiences","Measurable Impact"],"x-skills-preferred":["Gaming","Consumer Electronics","Enthusiast Communities","Contentful","SFCC","Enterprise E-commerce/CMS Platforms","A/B Testing","Experimentation Platforms","Research Repositories","Scalable Research Ops Practices"],"datePosted":"2026-03-09T10:49:12.888Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warszawa"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"UX Design, User Research, Personas, Insights, Design Systems, E-commerce, Experience Design, Prototyping, User Interface, Design Solutions, Cross-Functional Collaboration, Engineering, Stakeholders, Product Definition, Experimentation, Development, Design Rationale, Feedback, Design Systems Evolution, Component Library, Interaction Patterns, Best Practices, Standards, Guidelines, UX Thinking, Communication, Growth Mindset, Feedback, Design Tools, Figma, Sketch, XD, Prototyping Tools, Cross-Functional Teams, Product Managers, Engineering, Data, Marketing, Operations, UX Success Metrics, Conversion, Drop-off, NPS, CSAT, Task Success, Written Communication, Verbal Communication, Presenting, Stakeholders, Portfolio, End-to-End Ownership, Research, Insight, Shipped Experiences, Measurable Impact, Gaming, Consumer Electronics, Enthusiast Communities, Contentful, SFCC, Enterprise E-commerce/CMS Platforms, A/B Testing, Experimentation Platforms, Research Repositories, Scalable Research Ops Practices"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1028f9d-fa3"},"title":"Lifecycle Marketing Lead","description":"<p>Your job is to produce a job description for the job seeker. Treat copy that describes the job as more important than copy that talks about the company.</p>\n<p>Start with an opening paragraph: what the role is, who the company is, why it matters. If the ad mentions salary, include it here. One short paragraph about the company is enough — do not reproduce lengthy &quot;About Us&quot; text.</p>\n<p>For the role details, reuse the same section headings from the original ad (e.g. if the ad says &quot;Responsibilities&quot;, use that heading, not &quot;What you&#39;ll do&quot;). Match the tone of the original: if formal, stay formal. If casual, stay casual.</p>\n<p>Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.</p>\n<p>Content that is not directly about the role (long company history, mission statements, investor lists, press quotes) should be paraphrased into a sentence or two at most — the job seeker needs to understand the company, not read its pitch deck.</p>\n<p>For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.</p>\n<p>Do not invent information that is not in the original ad.</p>\n<p><strong>The Role</strong></p>\n<p>We&#39;re looking for a Lifecycle Marketing Lead to own and evolve the end-to-end customer journey—from signup through activation, sustained usage, and reactivation. This is a hybrid product growth + lifecycle marketing role. You will design the systems that turn product usage signals into timely, relevant interventions across email, and in-product surfaces.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li><strong>Own onboarding, activation, and early lifecycle performance.</strong> Design and continuously improve the new user journey to reduce time-to-first-value, increase repeat usage, and drive early adoption of core product capabilities across API and dashboard experiences.</li>\n<li><strong>Build and operate lifecycle programs driven by product usage.</strong> Own lifecycle strategy across welcome, activation, engagement, expansion, and reactivation. Translate product events and usage thresholds into triggered journeys across email and in-product channels, partnering with an agency for design and execution where appropriate.</li>\n<li><strong>Run experiments that compound product-led growth.</strong> Design, execute, and analyze experiments using tools like PostHog to improve conversion, adoption, and retention. Maintain a focused experimentation cadence tied to clear lifecycle and revenue outcomes.</li>\n<li><strong>Support PLG-to-sales motions with high-quality signals.</strong> Define and operationalize signals that identify high-potential accounts based on usage behavior, and build automated flows that enable the BD team to engage with the right context at the right time.</li>\n<li><strong>Define, measure, and communicate lifecycle success.</strong> Establish clear lifecycle metrics and benchmarks (activation signals, engagement patterns, retention and reactivation rates), and use them to inform priorities, trade-offs, and ongoing optimization.</li>\n<li><strong>Partner cross-functionally to ship the journey.</strong> Work closely with product, engineering, data, and sales to align on lifecycle priorities, influence instrumentation and product surfaces, and ensure lifecycle systems reflect how customers actually use OpenRouter.</li>\n</ul>\n<p><strong>What We’re Looking For</strong></p>\n<ul>\n<li>7-10 years of experience in lifecycle marketing, growth marketing, product growth, or adjacent roles—ideally in PLG or developer-focused products.</li>\n<li>Strong analytical instincts and experience working directly with product usage data and experimentation.</li>\n<li>Hands-on experience with lifecycle and experimentation tooling (e.g. email platforms, marketing automation, PostHog or similar).</li>\n<li>Track record of working directly with engineers, designers and analysts to bring projects to life.</li>\n<li>Clear understanding of how onboarding, activation, and lifecycle systems drive product-led growth.</li>\n<li>Comfort owning strategy while executing tactically in an early-stage, evolving environment.</li>\n<li>Strong cross-functional communication skills and ability to work effectively with product and engineering partners.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with API-first, infrastructure, or developer-tools products.</li>\n<li>Prior experience building lifecycle systems from scratch.</li>\n<li>Familiarity with customer data platforms, enrichment, or CRM workflows.</li>\n<li>Technical or growth-engineering background enabling lightweight automation or instrumentation.</li>\n</ul>\n<p><strong>Why OpenRouter</strong></p>\n<ul>\n<li>Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs.</li>\n<li>High ownership and autonomy to define how developer education and community scale.</li>\n<li>Opportunity to shape a foundational function at a fast-growing company.</li>\n<li>Fully remote team with a culture of autonomy and trust.</li>\n<li>Competitive compensation, including base salary and equity.</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_a1028f9d-fa3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenRouter","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openrouter.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openrouter/908a39d3-5fb6-4c55-9efc-90e3a29627d3","x-work-arrangement":"Remote","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":null,"x-skills-required":["Lifecycle Marketing","Growth Marketing","Product Growth","Email Platforms","Marketing Automation","PostHog","Experimentation Tooling","Product Usage Data","Data Analysis","Cross-Functional Communication"],"x-skills-preferred":["API-first","Infrastructure","Developer-Tools","Customer Data Platforms","Enrichment","CRM Workflows","Technical","Growth-Engineering"],"datePosted":"2026-03-09T09:48:57.971Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (US)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Lifecycle Marketing, Growth Marketing, Product Growth, Email Platforms, Marketing Automation, PostHog, Experimentation Tooling, Product Usage Data, Data Analysis, Cross-Functional Communication, API-first, Infrastructure, Developer-Tools, Customer Data Platforms, Enrichment, CRM Workflows, Technical, Growth-Engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ff4b185a-7bc"},"title":"Principal Product Manager","description":"<p>You will help businesses that want to grow and expand their business using our products, data, and services through advertising and new business models that unlock AI-first products. This role requires consistent knowledge and deep awareness of the emerging AI industry to develop new products as we have the freedom and flexibility to use the best technology in service of our customer.</p>\n<p>As a Principal Product Manager for Microsoft AI, you will drive building world-class AI applications that will delight consumers and deliver business results. You will own a product area and be responsible for understanding user needs and behaviours, defining product requirements, managing end-to-end product development, launches and iterations. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.</p>\n<p>You will enjoy working in a fast-paced, customer-first, product development cycle. You will translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams. You will define goals and performance indicators, set up and oversee experiments, measure success with data and research.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive building world-class AI applications that will delight consumers and deliver business results</li>\n<li>Own a product area and be responsible for understanding user needs and behaviours, defining product requirements, managing end-to-end product development, launches and iterations</li>\n<li>Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively</li>\n<li>Enjoy working in a fast-paced, customer-first, product development cycle</li>\n<li>Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams</li>\n<li>Define goals and performance indicators, set up and oversee experiments, measure success with data and research</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience</li>\n<li>2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI</li>\n<li>5+ years experience delivering products that include full Search and/or Advertising technology stack</li>\n<li>5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript)</li>\n<li>7+ years of experience building Ads products</li>\n<li>5+ years of experience in monetization products and B2B</li>\n<li>Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines</li>\n<li>Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team</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_ff4b185a-7bc","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-product-manager-4/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $139,900 – $274,800 per year","x-skills-required":["product management","AI","data analytics","experimentation tools","SQL","Python","Javascript","Ads products","monetization products","B2B"],"x-skills-preferred":["cross functional product teams","advertising","privacy","search","conversational AI","generative AI"],"datePosted":"2026-03-08T22:20:51.940Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, AI, data analytics, experimentation tools, SQL, Python, Javascript, Ads products, monetization products, B2B, cross functional product teams, advertising, privacy, search, conversational AI, generative AI","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_60b21682-9b0"},"title":"Senior Product Manager","description":"<p>As a Senior Product Manager for Bing Mobile, you will own the E2E product or feature strategy and execution for key mobile experiences that delight millions of users worldwide. 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These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</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_60b21682-9b0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-product-manager-4/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product management","software development","mobile app performance metrics","AI-driven experiences","A/B testing","experimentation platforms","behavioral analytics"],"x-skills-preferred":["mobile UX patterns","app store ecosystems","performance optimization for iOS and Android","AI & personalization","global scale experience"],"datePosted":"2026-03-08T22:20:22.549Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, software development, mobile app performance metrics, AI-driven experiences, A/B testing, experimentation platforms, behavioral analytics, mobile UX patterns, app store ecosystems, performance optimization for iOS and Android, AI & personalization, global scale experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_675c388a-d59"},"title":"Senior Software Engineer","description":"<p><strong>Overview</strong></p>\n<p>The Edge Growth MAI-A team is responsible for driving user acquisition, engagement, and retention for Microsoft Edge, which serves over a billion users worldwide. We build and optimize data, experimentation, feedback, and insights systems to enable rapid product growth.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, develop, and maintain scalable systems for growth experimentation, feedback loops, and data-driven insights.</li>\n<li>Build reusable components and architecture to support long-term sustainability and rapid iteration.</li>\n<li>Collaborate with Data Science teams to operationalize AI-first engineering solutions, including advanced AI solution-powered insights and personalization systems.</li>\n<li>Implement intelligent experimentation frameworks to optimize user journeys and product features.</li>\n<li>Work closely with PMs, Data Scientists, and other engineers in mission-based crews to deliver milestones aligned with growth objectives.</li>\n<li>Ramp up quickly across different areas of the Edge codebase, embracing flexibility and breadth of expertise.</li>\n<li>Develop and refine KPIs dashboards, churn analysis systems, and attribution models to measure success and guide decisions.</li>\n<li>Ensure high-quality telemetry and experimentation infrastructure for global scale.</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_675c388a-d59","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-51/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C","C++","C#","Java","JavaScript","Python","distributed systems","data pipelines","cloud services","experimentation frameworks","data analytics"],"x-skills-preferred":["AI/ML concepts and tools (Copilot, Spark, Kafka)"],"datePosted":"2026-03-08T22:20:16.286Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Suzhou"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, distributed systems, data pipelines, cloud services, experimentation frameworks, data analytics, AI/ML concepts and tools (Copilot, Spark, Kafka)"}]}