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We are the critical link that brings innovation from our science labs to patients around the world.</p>\n<p>We&#39;re achieving all of this while continuing to accelerate our operational excellence through innovative science, Lean ways of working, and evolving digital technologies.</p>\n<p>Using cell therapy to halt and reverse disease, restore damaged organs, and, ultimately, cure many life-threatening conditions is now a realistic goal for our scientists and operators.</p>\n<p>About Rockville Manufacturing Centre (RMC):</p>\n<p>Our role in Operations is to bring these promising therapies from the lab to life through a thorough process of development, manufacturing, testing and supply.</p>\n<p>Our fast-paced, growing environment provides a wealth of opportunity and global opportunities to learn from other teams, embrace lifelong learning and build capabilities, setting your own direction and pace for your long-term career.</p>\n<p>Introduction to role:</p>\n<p>Are you ready to develop an attitude of excellence? Join AstraZeneca&#39;s Operations team as the Quality Systems &amp; Compliance Associate Director, Cell Therapy at the Rockville Manufacturing Centre (RMC) facility, the newest addition to our global supply network.</p>\n<p>We aim to make a direct impact on patients by delivering life-saving cell therapies. 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This role is for a field-based professional with scientific, clinical and therapeutic expertise. The Respiratory Medical Science Liaison is responsible for providing medical and scientific support for AstraZeneca&#39;s marketed products, new indication and compounds in development.</p>\n<p>Developing relationships and engaging in scientific exchange with medical and scientific partners, including Healthcare Professionals, Quality Assurance Managers, Population Health Experts, and Managed Markets Customers with in Health Systems. Each scientific engagement is focused on Practice Change within the Health System with the ultimate goal of causing Practice Change thus improving medical care for patients with Asthma and/or COPD.</p>\n<p>Partnering with key internal stakeholders including Commercial Account Directors/Managers, Payer Medical, Medical Directors, and Practice Change Champions. 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We&#39;re resetting expectations of what a bio-pharmaceutical company can be. This means we&#39;re opening up new ways to work, groundbreaking and cutting-edge methods, and bringing unexpected teams together.</p>\n<p>The Forecasting Director, Oncology leads the US forecasting process for Gynecology+ Genitourinary indications and the LYNPARZA brand in the Oncology portfolio. As a thought partner to the business, the Forecasting Director will develop product-specific short-term and long-term forecasts and provide critical insights into market risks &amp; opportunities that may impact performance to ultimately guide commercial strategy and decision-making.</p>\n<p>Strong analytical and critical thinking skills are essential to developing rigorous forecasts using patient-flow / patient-based models and incorporating new AI capabilities. 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The Forecasting Director&#39;s deep expertise in forecasting enables them to solve complex technical challenges efficiently and effectively, anticipate upcoming forecast questions, and identify innovative solutions, including AI, that benefit the entire portfolio.</p>\n<p>Beyond brand-level contribution, the Forecasting Director plays an integral role as a leader within the US Oncology Forecasting &amp; Performance CoE (Center of Excellence), helping to deliver cross-brand forecasting alignment, efficiencies, best practices, and capability builds. In addition, the Forecasting Director will help to coach and train a forecasting &amp; performance talent pipeline.</p>\n<p>This role reports to the Integrated Insights Senior Director for the Tumor Franchise and sits within US Integrated Insights - Oncology Business Excellence organization, an inclusive team that partners with the US Oncology commercial organization to drive strategic decisions by providing objective, data-driven insight generation and analytics.</p>\n<p>Roles &amp; Responsibilities:</p>\n<ul>\n<li>Lead the US forecasting and business planning processes and all associated work streams for covered brand / indications (scenario planning, integration with Finance, etc.)</li>\n</ul>\n<ul>\n<li>Develop, build, and maintain up-to-date product-specific short-term and long-term forecasts models, synthesizing an integrated picture with information across multiple sources; as required, manage external agency executing the model build/update</li>\n</ul>\n<ul>\n<li>Proactively and clearly identify key drivers that impact short-term and long-range product and market forecasts, highlighting significant risks and opportunities</li>\n</ul>\n<ul>\n<li>Incorporate AI analytical tools into the forecast process and drive continuing enhancements of the AI forecasting platform</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with key commercial leaders, Business Excellence colleagues, and other forecast stakeholders to align on objective, data-driven forecast inputs</li>\n</ul>\n<ul>\n<li>Provide in-depth analyses of underlying drivers of brand performance in support of key business deliverables and milestones (e.g. Quarterly Business Reviews)</li>\n</ul>\n<ul>\n<li>Monitor external environment to stay up to date on the competitive landscape and latest market developments for covered brand/indications as well as broader Oncology trends</li>\n</ul>\n<ul>\n<li>Consult on primary research and secondary analytics relevant to forecasting, and incorporate results into modeling to add deep customer insight and assess future events</li>\n</ul>\n<ul>\n<li>Deliver insightful, objective presentations to senior leaders (e.g., SVP US Commercial Oncology, VP of US Franchise) that clearly and succinctly highlight critical insights and business implications through strong storytelling</li>\n</ul>\n<ul>\n<li>Collaborate with senior US leaders on performance narrative for C-level audience</li>\n</ul>\n<ul>\n<li>Maintain effective relationships with contractors and other third-party vendors through oversight of the vendor management process</li>\n</ul>\n<ul>\n<li>Direct and help prioritize work of Forecasting &amp; 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Are you looking to work at the cutting-edge, where scientific innovations and an entrepreneurial spirit are the norm? Join the team at the heart of AstraZeneca that is committed to following the science in Oncology R&amp;D.</p>\n<p>As a Medical Director, Early Clinical Development, Oncology, you will have a clinical background and be driven by science and the desire to develop novel therapies for cancer patients. You will possess a proficiency in the drug development process, particularly early phase clinical trials, protocol writing and study conduct, data review and reconciliation, and what it takes to lead teams successfully.</p>\n<p>This position offers the opportunity for growth and development while working in a vibrant environment. AstraZeneca is in a period of tremendous growth and acceleration in the oncology portfolio. This is a fast-paced and dynamic work environment where, with growing levels of responsibility.</p>\n<p>Typical responsibilities may include:</p>\n<ul>\n<li>Providing long-range clinical planning in early clinical trial development, planning and managing of clinical research projects and clinical development programs in oncology.</li>\n<li>Serving as the Project Medical Monitor while working in a cross functional environment with representatives from other involved line functions as well as Late-Stage Development.</li>\n<li>Contributing to and supporting Department/Clinical initiatives to improve the quality and content of all clinical programs as well as the cross functional/organization processes designed to effectively deliver our R&amp;D portfolio.</li>\n<li>Establishing and approving scientific methods for design and implementation of applicable clinical protocols, data collection systems, and final reports;</li>\n<li>Playing a role in designing clinical development plans and overall strategy for compounds, therapeutic classes of compounds or indications in light of developments in the area of clinical and pharmaceutical oncology;</li>\n<li>Participating in identification, selection and conduct of negotiations with clinical research centers and investigators;</li>\n<li>Participating in the selection and management activities of CROs;</li>\n<li>Supervising project team members in planning, conducting and evaluating clinical trials;</li>\n<li>Leading all aspects of planning and management of investigator meetings, advisory boards and other scientific committees.</li>\n</ul>\n<p>Essential Requirements:</p>\n<ul>\n<li>M.D degree or equivalent.</li>\n<li>Strong preference for individuals with clinical training in oncology or hemato-oncology.</li>\n<li>At least 3 years of experience in clinical research and/or oncology drug development in pharmaceutical, academic or CRO environment.</li>\n</ul>\n<p>Preferred Requirements:</p>\n<ul>\n<li>PhD in a relevant research area is preferred.</li>\n<li>Significant experience in the pharmaceutical/life sciences industry in a function aligned to clinical development and early or late stage clinical trials.</li>\n<li>Medical specialty and sub-specialty training and Board Certification.</li>\n<li>Excellent oral and written skills, strong interpersonal and listening skills with a focus on results and sound outcomes.</li>\n<li>Proven leadership skills and demonstrated ability to interact collaboratively in a cross-functional environment.</li>\n<li>High level of emotional intelligence; 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We are a global biopharmaceutical company with a diverse portfolio of prescription medicines and vaccines for diseases across various therapeutic areas, including respiratory.</p>\n<p>We are seeking a Medical Science Liaison (Respiratory) to join our team in Grand Rapids, MI. As a Medical Science Liaison, you will be responsible for providing medical and scientific support for AstraZeneca&#39;s marketed products, focused on COPD, with new indications and compounds in development.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop relationships and engage in scientific exchange with medical and scientific partners, including Healthcare Professionals, Quality Assurance Managers, and Population Health Experts to improve medical care for patients with COPD.</li>\n<li>Partner with key internal stakeholders including Medical, Sales, and Marketing.</li>\n<li>Identify pre-clinical, clinical and post-marketing study investigators in alignment with Medical Affairs objectives; and provide impactful information that enhances the value and proper use of AZ products to internal partners.</li>\n<li>Respond to customer inquiries to provide focused and balanced clinical and scientific information that supports the appropriate use of or clinically differentiates AstraZeneca&#39;s products and services.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>0-1 years&#39; experience as a Medical Science Liaison in the pharmaceutical industry</li>\n<li>Advanced Clinical/Science Degree required (e.g., MD, PharmD, PhD, MSN, NP, PA, etc.)</li>\n<li>Knowledge of Health Systems, customer segments and market dynamics</li>\n<li>Demonstrated expertise in discussing scientific content and context to multiple audiences</li>\n<li>Experience initiating Transforming Care within Health Systems</li>\n<li>Excellent project management ability</li>\n<li>Excellent oral and written communication and interpersonal skills</li>\n<li>Working knowledge of Microsoft Office Suite</li>\n<li>Thorough knowledge of regulatory environment</li>\n<li>Experience in the pharmaceutical industry</li>\n<li>Strong leadership capabilities</li>\n<li>Must reside in territory</li>\n<li>Ability to travel (50-70%)</li>\n</ul>\n<p>Desirable:</p>\n<ul>\n<li>2+ years&#39; experience as a Medical Science Liaison in the pharmaceutical industry</li>\n<li>Respiratory experience in pharmaceutical industry or clinical practice</li>\n<li>Established track record of basic or clinical research</li>\n<li>Proven expertise in the drug discovery and drug development process</li>\n<li>Previous experience working within Health Systems or Integrated Delivery Networks</li>\n</ul>\n<p>Why AstraZeneca?</p>\n<p>At AstraZeneca, we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together. Ready to make a difference? Apply today and join our mission to change lives!</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_2bed6fb1-42a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Regional Liaison Director","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689883877","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Medical Science Liaison","Pharmaceutical Industry","Health Systems","Customer Segments","Market Dynamics","Scientific Content","Regulatory Environment","Leadership"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:12.526Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Grand Rapids, Michigan, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Medical","industry":"Healthcare","skills":"Medical Science Liaison, Pharmaceutical Industry, Health Systems, Customer Segments, Market Dynamics, Scientific Content, Regulatory Environment, Leadership"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7e58f60-5fa"},"title":"Software Engineer - 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If you are looking to demonstrate those skills to help lead teams that shape our future oncology strategy, portfolio, and decision-making, we are keen to hear from you.</p>\n<p>About AstraZeneca</p>\n<p>At AstraZeneca, we&#39;re not afraid to do things differently. We&#39;re building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we&#39;re opening up innovative ways of working, pioneering groundbreaking methods, and bringing cross-functional teams together.</p>\n<p>Early Oncology is focused on attacking cancer from multiple angles through innovative modalities, realizing the potential of combinations, and building treatment regimens with depth, durability, and precision. This senior leadership position – within the Oncology Targeted Discovery Department – will be accountable for the generation of bioscience data packages to support candidate drug selection and clinical positioning of assets, including prioritization of cross-portfolio combinations.</p>\n<p>We are seeking a dynamic and experienced leader to lead the drug discovery efforts in small molecule portfolios in Oncology R&amp;D. In this role, you will report to VP, Small Molecule Bioscience and lead a bioscience department based in Kendall Square.</p>\n<p>Key accountabilities include:</p>\n<ul>\n<li>Providing strategic leadership and direction for the Bioscience function and partnering with the Oncology Targeted Discovery senior leadership team in the vision and execution of the small molecule bioscience strategy.</li>\n</ul>\n<ul>\n<li>Evolving the capabilities and fostering a collaborative and high-performing culture, ensuring resources are used appropriately to satisfy current and anticipated needs of the organization, and that the function drives performance and delivers business value.</li>\n</ul>\n<ul>\n<li>Driving portfolio prioritization, staying abreast of the latest external developments and innovations, and being able to identify future strategic opportunities.</li>\n</ul>\n<ul>\n<li>Collaborating cross-functionally with colleagues across the discovery, translational, and clinical organizations.</li>\n</ul>\n<p>Education, Qualifications, Skills, and Experience</p>\n<ul>\n<li>PhD in Biological science discipline</li>\n</ul>\n<ul>\n<li>Minimum of 10 years&#39; experience in biotechnology or pharmaceutical industry with deep drug discovery experience and ability to manage cross-functional stakeholders</li>\n</ul>\n<ul>\n<li>Proven track record of delivering portfolio success in both pre-clinical and clinical phase</li>\n</ul>\n<ul>\n<li>Experience of driving innovation and delivering strategic/operational change across the business</li>\n</ul>\n<ul>\n<li>Oversight of in vivo pharmacology with awareness of local regulations</li>\n</ul>\n<ul>\n<li>Proven leadership experience promoting, motivating, and empowering others to accomplish individual, team, and organizational objectives</li>\n</ul>\n<ul>\n<li>Effective interpersonal and relationship management skills with consultative approach and ability to interact and build trust</li>\n</ul>\n<ul>\n<li>Strong leadership and communication skills – ability to convey scientifically complex data and concepts in a simple, straightforward manner</li>\n</ul>\n<ul>\n<li>Ability to influence strategically and persuade tactfully, to obtain desired outcomes while maintaining effective, positive organizational relationships</li>\n</ul>\n<ul>\n<li>Expert reputation within the business and externally across the industry</li>\n</ul>\n<p>Why AstraZeneca?</p>\n<p>When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That&#39;s why we work, on average, a minimum of three days per week from the office. But that doesn&#39;t mean we&#39;re not flexible. We balance the expectation of being in the office while respecting individual flexibility.</p>\n<p>Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we&#39;re opening new ways to work, groundbreaking pioneering methods, and bringing unexpected teams together.</p>\n<p>Interested? Come and join our journey!</p>\n<p>So, what&#39;s next? If you are passionate about the possibilities, don&#39;t hesitate in submitting an application today!</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_85519763-cfa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"US - SM Bioscience Team","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689853577","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$281,872.80 - $422,809.20","x-skills-required":["PhD in Biological science discipline","Minimum of 10 years' experience in biotechnology or pharmaceutical industry","Deep drug discovery experience","Ability to manage cross-functional stakeholders","Proven track record of delivering portfolio success"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:06.153Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Waltham, Massachusetts, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"PhD in Biological science discipline, Minimum of 10 years' experience in biotechnology or pharmaceutical industry, Deep drug discovery experience, Ability to manage cross-functional stakeholders, Proven track record of delivering portfolio success","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":281872.8,"maxValue":422809.2,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1a20521b-6ce"},"title":"Senior Execution Quantitative Analyst - Fixed Income","description":"<p>We are seeking a Senior Execution Quantitative Analyst to lead the expansion of our central execution capabilities into fixed income markets, covering corporate credit (IG/HY), Treasuries (cash and futures), and interest rate swaps.</p>\n<p>This is a hands-on role requiring deep fixed income market structure knowledge combined with strong quantitative and software development skills. 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level)</li>\n</ul>\n<p>About AstraZeneca</p>\n<p>At AstraZeneca, Regulatory professionals help turn breakthrough science into real solutions for patients with serious diseases by shaping innovative pathways through complex global requirements.</p>\n<p>Working with colleagues across locations, therapy areas and external partners, this role offers the chance to influence strategy end-to-end, from early development through rapid global approvals, while learning from leading experts, sharing best practices and using data, technology and modern approaches to reduce barriers for patients worldwide.</p>\n<p>If this opportunity to drive transformative cell and gene therapies towards approval resonates, apply now to join us in bringing life-changing medicines to those who need them most.</p>\n<p>Competitive salary and benefits package on offer:</p>\n<p>Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while 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As a Medical Science Liaison (Respiratory) in Kansas City, you will be part of a field-based team with scientific, clinical, and therapeutic expertise.</p>\n<p>Your primary responsibility will be to provide medical and scientific support for AstraZeneca&#39;s marketed products, focused on Chronic Obstructive Pulmonary Disease (COPD), with new indications and compounds in development. This involves developing relationships and engaging in scientific exchange with medical and scientific partners, including Healthcare Professionals, Quality Assurance Managers, and Population Health Experts to improve medical care for patients with COPD.</p>\n<p>You will partner with key internal stakeholders, including Medical, Sales, and Marketing, to identify pre-clinical, clinical, and post-marketing study investigators in alignment with Medical Affairs objectives. 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You must reside within 30 miles of the territory core.</p>\n<p>Essential requirements include:</p>\n<ul>\n<li>0-1 years&#39; experience as a Medical Science Liaison in the pharmaceutical industry</li>\n<li>Advanced Clinical/Science Degree required (e.g., MD, PharmD, PhD, MSN, NP, PA, etc.)</li>\n<li>Knowledge of Health Systems, customer segments, and market dynamics</li>\n<li>Demonstrated expertise in discussing scientific content and context to multiple audiences</li>\n<li>Experience initiating Transforming Care within Health Systems</li>\n<li>Excellent project management ability</li>\n<li>Excellent oral and written communication and interpersonal skills</li>\n<li>Working knowledge of Microsoft Office Suite</li>\n<li>Thorough knowledge of regulatory environment</li>\n<li>Experience in the pharmaceutical industry</li>\n<li>Strong leadership capabilities</li>\n<li>Must reside in territory</li>\n<li>Ability to travel (50-70%)</li>\n</ul>\n<p>Desirable requirements include:</p>\n<ul>\n<li>2+ years&#39; experience as a Medical Science Liaison in the pharmaceutical industry</li>\n<li>Respiratory experience in pharmaceutical industry or clinical practice</li>\n<li>Established track record of basic or clinical research</li>\n<li>Proven expertise in the drug discovery and drug development process</li>\n<li>Previous experience working within Health Systems or Integrated Delivery Networks</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_4d1760ee-59e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Regional Liaison Director","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689883893","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Medical Science Liaison","Chronic Obstructive Pulmonary Disease (COPD)","Healthcare Professionals","Quality Assurance Managers","Population Health Experts","Microsoft Office Suite","Regulatory Environment"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:12:38.215Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kansas City, Kansas, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Medical","industry":"Healthcare","skills":"Medical Science Liaison, Chronic Obstructive Pulmonary Disease (COPD), Healthcare Professionals, Quality Assurance Managers, Population Health Experts, Microsoft Office Suite, Regulatory Environment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f622a5b9-7aa"},"title":"Medical Science Liaison (Asthma) - Upstate New York","description":"<p>At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. This role is for a field-based professional with scientific, clinical and therapeutic expertise in asthma and/or respiratory diseases.</p>\n<p>The Respiratory Medical Science Liaison (Asthma) is responsible for providing medical and scientific support for AstraZeneca&#39;s marketed products, new indications and compounds in development. This is done by:</p>\n<p>Developing relationships and engaging in scientific exchange with medical and scientific partners, including Healthcare Professionals, Quality Assurance Managers, Population Health Experts, and Managed Markets Customers within Health Systems.</p>\n<p>Partnering with key internal stakeholders including Commercial Account Directors/Managers, Payer Medical, Medical Directors, and Practice Change Champions.</p>\n<p>Identifying pre-clinical, clinical and post-marketing study investigators in alignment with Medical Affairs objectives; and provide impactful information that enhances the value and proper use of AZ products to internal partners.</p>\n<p>Responding to customer inquiries to provide focused and balanced clinical and scientific information that supports the appropriate use of or clinically differentiates AstraZeneca&#39;s products and services</p>\n<p>Essential for the role:</p>\n<ul>\n<li>0-1 years&#39; experience as a Medical Science Liaison in the pharmaceutical industry</li>\n</ul>\n<ul>\n<li>Advanced Clinical/Science Degree required (e.g., MD, PharmD, PhD, MSN, NP, PA, etc.). 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This role involves full ownership of end-to-end account management and demand generation across the complete portfolio, including all computed tomography (CT) and magnetic resonance (MR) devices as well as contrast media.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own end-to-end account management process for assigned accounts, including developing account plans, coordinating resources, and ensuring execution across the customer lifecycle</li>\n<li>Achieve opportunity generation and sales targets within assigned territory/accounts</li>\n<li>Engage radiology administrators, technologists, IT, and procurement stakeholders to assess needs and position Bayer solutions</li>\n<li>Use data analytics, targeting tools, and robust CRM systems to generate and close new opportunities</li>\n<li>Coordinate seamless sales handoff to relevant service, implementation, or renewal teams, ensuring customer commitments are well-documented and continuity of engagement is maintained post-sale</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience in healthcare sales or inside sales experience (medical device, software, or pharma)</li>\n<li>Demonstrated knowledge of radiology with strong knowledge of medical devices, software, contrast media, and service portfolio</li>\n<li>Strong virtual/remote engagement skills , phone, email, and digital platforms</li>\n<li>Personal strengths include communication, objection-handling, and consultative selling skills</li>\n<li>Ability to deal with ambiguity; learn on the fly in a safe to try environment, and critical thinking skills</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Committed to advancing the U.S. Radiology landscape through a deep personal passion for improving patient outcomes</li>\n<li>Bachelor’s degree in business, marketing, life sciences, or related discipline</li>\n<li>Ability to use company generated AI tools</li>\n</ul>\n<p>Additional Compensation:</p>\n<ul>\n<li>Bonus or incentive compensation (if relevant)</li>\n<li>Health care, vision, dental, retirement, PTO, sick leave, etc.</li>\n</ul>\n<p>This posting will be available for application until at least 4/24/2026.</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_effa848c-1a9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976651464","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$68,000 - $103,000","x-skills-required":["healthcare sales","inside sales experience","radiology","medical devices","software","contrast media","service portfolio","data analytics","targeting tools","CRM systems"],"x-skills-preferred":["advancing the U.S. Radiology landscape","deep personal passion for improving patient outcomes","Bachelor’s degree in business, marketing, life sciences, or related discipline"],"datePosted":"2026-04-18T22:12:29.456Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pittsburgh"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Healthcare","skills":"healthcare sales, inside sales experience, radiology, medical devices, software, contrast media, service portfolio, data analytics, targeting tools, CRM systems, advancing the U.S. Radiology landscape, deep personal passion for improving patient outcomes, Bachelor’s degree in business, marketing, life sciences, or related discipline","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":68000,"maxValue":103000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_64ba697c-0a4"},"title":"Manager Production - Day Shift","description":"<p>Our Frederick Manufacturing Centre creates life-changing medicines for people around the world. We are seeking a dedicated and experienced Manager for our day shift production team. This role is a unique opportunity to contribute to our ambitious sustainability strategy and make a real difference in our Operations department.</p>\n<p>As a Manager, you will be responsible for providing direction to subordinates, administering policies and procedures, making routine decisions, and planning and supervising daily activities. You will also be expected to coach, counsel, train, and discipline staff, ensuring performance of all process steps specific to the phase or stage of operation. Your role will also involve generating SOPs, MPRs, and SPRs for equipment and procedures used in routine biologics manufacture.</p>\n<p>Essential Skills/Experience:</p>\n<ul>\n<li>7-10 years work experience in pilot or commercial biologics manufacturing under cGMP with Bachelors.</li>\n<li>5-7 years experience with Masters degree.</li>\n<li>10-15 years experience with Associates Degree and 15+ years experience with High School education.</li>\n<li>BS/BA degree preferred in biological sciences or biotechnology/life sciences.</li>\n<li>Masters degree accepted.</li>\n</ul>\n<p>Desirable Skills/Experience:</p>\n<ul>\n<li>BS/BA degree in biological sciences or biotechnology/life sciences.</li>\n<li>Masters degree accepted.</li>\n<li>Associates and High School Diploma acceptable with appropriate experience</li>\n</ul>\n<p>At AstraZeneca, we are committed to leading the way in Operations. We are pioneers in our field, constantly evolving and growing. We believe in empowering our teams to foster a Lean mindset and sustainable practices. We value diversity and cross-functional working practices, providing the guidance needed to overcome any obstacles.</p>\n<p>The annual base pay for this position ranges from $94,692- $142,039. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. 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They will also cultivate strong relationships with key offices and providers, actively seeking feedback to ensure their needs are met and expectations exceeded.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building deep clinical knowledge and driving education</li>\n<li>Building relationships with key offices and providers</li>\n<li>Being customer-centric and seeking to understand customer goals and priorities</li>\n<li>Understanding and navigating the healthcare environment</li>\n<li>Analyzing data to build territory growth strategy</li>\n<li>Being outcome-oriented in execution</li>\n<li>Collaborating cross-functionally</li>\n<li>Embracing technology</li>\n<li>Learning and adapting</li>\n</ul>\n<p>The ideal candidate will possess a Bachelor&#39;s degree or 10 years of relevant experience in lieu of a Bachelor&#39;s degree. 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Primarily focused on on-the-floor Quality Operations, the SME is responsible for enhancing the team&#39;s understanding of Cell and Gene Therapy quality requirements.</p>\n<p>The individual in this role must possess the ability to work independently, demonstrating excellent judgment and the capability to effectively engage with a diverse range of key stakeholders.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Fully own the Quality Operational tasks required to ensure compliant and safe execution of CGT operational activities in the CGT MOD facility.</li>\n<li>Oversee quality assurance processes for CGT products from development to commercial launch.</li>\n<li>Engage with cross-functional teams to ensure compliance with Global Processes and Regulatory standards.</li>\n<li>Manage risks associated with CGT product development and manufacturing, including finding risk-based and phase-appropriate solutions when issues arise.</li>\n<li>Foster a culture of open communication and collaboration 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This internship offers hands-on experience in a supportive environment where you’ll learn, contribute, and make an impact.</p>\n<p>Your tasks and educational objectives:</p>\n<ul>\n<li>Work with HR and behavioural data to create structured, analysis-ready datasets for people analytics.</li>\n<li>Support development and testing agentic AI workflows (including LLM-based tools) that support HR decision-making.</li>\n<li>Help to build and evaluate machine learning models to explore workforce trends, learning behaviours, and engagement.</li>\n<li>Together with team members, create dashboards and visualisations that turn complex data into actionable insights for HR and business partners.</li>\n<li>Apply modern data workflows using Databricks, GitHub Spaces, and cloud platforms (Azure or AWS).</li>\n<li>Collaborate with experienced mentors and participate in small experiments to measure impact and share findings.</li>\n</ul>\n<p>Who you are:</p>\n<ul>\n<li>Python programming skills for data processing, modelling, and AI workflows.</li>\n<li>Hands-on experience with Generative AI (GenAI) or LLM-based systems (academic projects or internships count).</li>\n<li>Familiarity with cloud platforms (Azure or AWS), with a focus on Databricks and GitHub Spaces for collaborative development.</li>\n<li>Solid foundation in data science and machine learning.</li>\n<li>Strong interest in behavioural science, people analytics, and HR.</li>\n<li>Currently enrolled in a Master’s or advanced Bachelor’s program in data science, computer science, cognitive science, psychology, behavioural economics, neuroscience, or a related field.</li>\n<li>Curiosity, willingness to learn, and ability to work on-site in Leverkusen.</li>\n<li>Fluent English, written and spoken.</li>\n</ul>\n<p>What we offer:</p>\n<p>Our benefits package is flexible, appreciative, and tailored to your lifestyle, because what matters to you, matters to us!</p>\n<ul>\n<li>For a full-time position, you can expect an attractive salary of € 2,214 gross per month.</li>\n<li>Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager.</li>\n<li>We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.</li>\n<li>As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.</li>\n<li>We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.</li>\n</ul>\n<p>Ever feel burnt out by bureaucracy? 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Our ranking and personalization systems determine which of them our 70+ million annual users see, directly impacting search conversion and business results.</p>\n<p>What&#39;s live today:</p>\n<ul>\n<li>Multi-stage ranking pipeline: Reinforcement-learning-based cold ranking, contextual re-ranking, and personalized recommendations.</li>\n</ul>\n<ul>\n<li>Cold-start models for new properties with limited behavioral data.</li>\n</ul>\n<ul>\n<li>Personalized recommendations based on user browsing patterns.</li>\n</ul>\n<p>Some of the hard problems we&#39;re solving:</p>\n<ul>\n<li>Multi-objective optimization: Balancing user relevance, conversion probability, and business value.</li>\n</ul>\n<ul>\n<li>Personalization without history: Most users are anonymous or first-time visitors.</li>\n</ul>\n<ul>\n<li>Cold-start: A significant share of our inventory is new each quarter. 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Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!</p>\n<p><strong>Want to travel with us?</strong></p>\n<p>Apply online on our careers 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. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Salary Range: $167,200-$209,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6365e7d7-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_853e1417-019"},"title":"Solutions Architect, Applied AI (National Security)","description":"<p>As a Solutions Architect, Applied AI (National Security), you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>TS/SCI clearance required</li>\n</ul>\n<ul>\n<li>Must have prior experience working with US national security (defense and/or intelligence) agencies</li>\n</ul>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiar with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>The annual compensation range for this role is $240,000-$270,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>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.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</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&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to</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_853e1417-019","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/5079511008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$270,000 USD","x-skills-required":["TS/SCI clearance","Prior experience working with US national security (defense and/or intelligence) agencies","Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager","Experience navigating complex buying cycles involving multiple stakeholders","Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders","Experience designing scalable cloud architectures and integrating with enterprise systems","Familiar with Python","Familiarity with common LLM frameworks and tools or a background in machine learning or data science"],"x-skills-preferred":["Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more","Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities","A love of teaching, mentoring, and helping others succeed","Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders","Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems"],"datePosted":"2026-04-18T15:59:41.597Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TS/SCI clearance, Prior experience working with US national security (defense and/or intelligence) agencies, Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager, Experience navigating complex buying cycles involving multiple stakeholders, Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders, Experience designing scalable cloud architectures and integrating with enterprise systems, Familiar with Python, Familiarity with common LLM frameworks and tools or a background in machine learning or data science, Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more, Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities, A love of teaching, mentoring, and helping others succeed, Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c21777cd-f0b"},"title":"Customer Programs Manager, Customer Advisory Boards","description":"<p><strong>About the Role</strong></p>\n<p>This is a Customer Programs Manager position within the Enterprise Marketing department at Anthropic. The successful candidate will establish and lead the Customer Programs function, responsible for engaging with strategic customers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build the Customer Programs function, defining the strategy, hiring the team, and establishing the operating model with PMM, Strategic Events, Solutions, ABM, and Sales leadership.</li>\n<li>Serve as the single accountable owner to the CCO and Sales leadership for Customer Advisory Boards and executive customer engagement.</li>\n<li>Own the governed strategic-account audience, maintaining a named list of executives and decision-makers across lighthouse accounts.</li>\n<li>Design and run the portfolio of high-touch customer programs, including CAB charter and membership, EBC intake and programming, early access customer selection and feedback loops, co-marketing fund deployment, and customer reference and speaker bench.</li>\n<li>Act as the voice of strategic customers inside Anthropic, bringing their priorities and feedback into Product, GTM, and leadership forums.</li>\n<li>Coordinate the asks made of top customers across the company to ensure intentional engagement.</li>\n<li>Own reporting on account coverage, engagement depth, and program-influenced expansion to Sales and Marketing leadership.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years in B2B enterprise marketing, customer marketing, or executive programs, including 4+ years leading a team.</li>\n<li>Built or significantly scaled an executive customer programs function at a high-growth enterprise technology company.</li>\n<li>Demonstrated executive presence with Fortune 500 C-suite and VP-level customers.</li>\n<li>Experience designing programs from an audience-first model.</li>\n<li>Strong cross-functional operating skills.</li>\n<li>Comfort owning a number.</li>\n<li>Clear written and verbal communication.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The annual compensation range for this role is $255,000-$320,000 USD.</p>\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.</li>\n<li>Visa sponsorship: We do sponsor visas!</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this role, please submit your application through our careers page.</p>\n<p><strong>What We Offer</strong></p>\n<p>At Anthropic, we believe that the highest-impact AI research will be big science. 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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. 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. 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Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.</p>\n<p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto&#39;s subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.</p>\n<p>Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.</p>\n<p>Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.</p>\n<p>Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.</p>\n<p>We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.</p>\n<p>Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto&#39;s Applicant Privacy Notice.</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_2445da38-a0f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/6447954","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$251,000-$309,000 /yr","x-skills-required":["Ruby","Rails","TypeScript","React","RESTful APIs","GraphQL","backend services","scalable systems","secure systems","resilient systems","collaborative development environment","test-driven development","backend system maintenance","API development","data science","compliance","operations","cross-functional teams","engineering organization development","team development","mentorship","AI tools","AI-driven outputs","emerging backend technologies","AI frameworks","patterns"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:59.500Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Ruby, Rails, TypeScript, React, RESTful APIs, GraphQL, backend services, scalable systems, secure systems, resilient systems, collaborative development environment, test-driven development, backend system maintenance, API development, data science, compliance, operations, cross-functional teams, engineering organization development, team development, mentorship, AI tools, AI-driven outputs, emerging backend technologies, AI frameworks, patterns","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":251000,"maxValue":309000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f931591c-87a"},"title":"Research Scientist, Frontier Risk Evaluations","description":"<p>As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems.</p>\n<p>For example, you might do any or all of the following:</p>\n<ul>\n<li>Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;</li>\n</ul>\n<ul>\n<li>Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;</li>\n</ul>\n<ul>\n<li>Publish evaluation methodologies and write technical reports for policymakers.</li>\n</ul>\n<p>We are seeking talented researchers to join us in shaping this vision.</p>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;</li>\n</ul>\n<ul>\n<li>Practical experience conducting technical research collaboratively. 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As a key member of our Field Engineering team, you will work closely with customers to understand their needs and develop customized solutions using our Data Intelligence Platform.</p>\n<p>We&#39;re looking for someone with a strong technical background in big data analytics, who can operate as a trusted advisor to our customers. You will be responsible for developing successful relationships with clients, providing technical and business value, and scaling best practices in your field.</p>\n<p>As a Solutions Architect, you will:</p>\n<ul>\n<li>Form successful relationships with clients throughout your assigned territory</li>\n<li>Operate as an expert in big data analytics to excite customers about Databricks</li>\n<li>Develop into a &#39;champion&#39; and trusted advisor on multiple issues of architecture, design, and implementation</li>\n<li>Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications</li>\n<li>Grow your knowledge and expertise to the level of a technical and/or industry specialist</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>Experience with coding in a core programming language (i.e., Python, Java, Scala)</li>\n<li>A base level in Spark</li>\n<li>A builder mindset with a passion for quick prototyping and experience in vibe coding</li>\n<li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)</li>\n<li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences</li>\n<li>Joy in drilling deeper on tough technical questions and solution architecture while always keeping the big picture in mind</li>\n</ul>\n<p>Fluency in German is a strong advantage, but not required.</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 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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>We&#39;re hiring a Staff Product Designer for our Benefits team to design and launch a new product offering at Gusto. Our focus in Benefits is simple: help small businesses and their employees get access to better quality care at more affordable rates,in other words, we make benefits work harder for small businesses.</p>\n<p>Benefits is a notoriously complex space, full of confusing choices, high stakes, and fragmented experiences across employers, employees, carriers, and brokers. In this role, you’ll partner closely with Product Managers, Engineers, Data Science, CX, Operations, and Sales to turn that complexity into experiences that feel clear, human, and trustworthy,from end-to-end journeys to the underlying systems that power them.</p>\n<p>This is an opportunity to shape a new part of Gusto’s Benefits offering and deliver meaningful, tangible impact for small businesses and the people who rely on them.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead 0→1 discovery and design for a new Benefits product offering,from problem framing to MVP definition,grounded in real employer + employee workflows.</li>\n</ul>\n<ul>\n<li>Design end-to-end service experiences across employer, employee, and internal ops workflows,identifying where AI can reduce complexity while keeping decisions clear and controllable.</li>\n</ul>\n<ul>\n<li>Design AI-assisted decision moments that help customers choose and act with confidence.</li>\n</ul>\n<ul>\n<li>Design the system that makes AI safe and scalable: define objects, rules, states, and exception paths plus guardrails for when AI should defer to humans.</li>\n</ul>\n<ul>\n<li>Make data legible and operational: shape the information model and UX so humans and AI can collaborate,clean inputs, clear outputs, and structured handoffs that reduce errors and rework.</li>\n</ul>\n<ul>\n<li>Build product feedback loops that improve AI quality over time: define success metrics, evaluation signals, and human-in-the-loop review patterns to continuously tune guidance, routing, and automation.</li>\n</ul>\n<ul>\n<li>Design in code to ship faster: use AI-assisted dev tools (e.g., Cursor, Claude Code) to prototype and deliver production-quality UI, collaborating tightly with engineering and shaping reusable patterns.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>You partner cross-functionally to define human-in-the-loop workflows, and set principles for fairness, privacy, and trust.</li>\n</ul>\n<ul>\n<li>You design with AI as a core material,prototyping, refining prompts, and integrating AI behaviors that adapt responsibly to user context. You guide teams in balancing automation with transparency and control.</li>\n</ul>\n<ul>\n<li>You redesign service blueprints where AI plays an active role,automating routine workflows, predicting needs, and escalating complex cases to humans with transparency and context.</li>\n</ul>\n<ul>\n<li>You define area strategy using measurable bets and experimentation; partner with Analytics and AI teams to track and evaluate impact.</li>\n</ul>\n<ul>\n<li>You scale quality through reusable patterns, thoughtful critique, and mentorship; balance exploration with delivery.</li>\n</ul>\n<ul>\n<li>You influence cross-functional strategy across teams; resolve complex trade-offs and guide design through ambiguity.</li>\n</ul>\n<ul>\n<li>You coach across teams, build onboarding and training programs, and raise the bar for craft and systems thinking.</li>\n</ul>\n<p>Benefits</p>\n<p>At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity-based compensation (ownership in Gusto).</p>\n<p>Our cash compensation range for this role is $146,000/yr to $183,000/yr in Denver &amp; most remote locations, and $177,000/yr to $222,000/yr in San Francisco, Seattle &amp; New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.</p>\n<p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto&#39;s subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.</p>\n<p>When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.</p>\n<p>Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.</p>\n<p>Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.</p>\n<p>Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.</p>\n<p>We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.</p>\n<p>Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed</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_cdeaf600-bda","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/7676166","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","UX","Design","Product Management","Engineering","Data Science","CX","Operations","Sales"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:48.958Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"AI, UX, Design, Product Management, Engineering, Data Science, CX, Operations, Sales"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_57a8aa85-77e"},"title":"Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI","description":"<p>We are seeking a Staff Machine Learning Research Engineer to join our Enterprise ML Research Lab. As a key member of our team, you will build out our next-gen Agent RL training platform, integrating cutting-edge research into our training stack. You will train state-of-the-art models, design solutions for complex multi-agent systems, and collaborate with our team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models.</p>\n<p>The ideal candidate will have 5+ years of LLM training in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years. A PhD or Masters in Computer Science or a related field is required.</p>\n<p>In addition to a competitive salary, you will receive equity-based compensation, comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.</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_57a8aa85-77e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4625337005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$189,600-$237,000 USD","x-skills-required":["LLM training","Post-training methods","RLHF/RLVR","PPO/GRPO","NEURIPS","ICLR","ICML","Computer Science","PhD","Masters"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:47.528Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"LLM training, Post-training methods, RLHF/RLVR, PPO/GRPO, NEURIPS, ICLR, ICML, Computer Science, PhD, Masters","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189600,"maxValue":237000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_859ea28b-09c"},"title":"Sr. Manager, Field Engineering - Public Sector","description":"<p>We are seeking a Senior Manager, Solutions Architects to lead our Federal System Integrators and Defense Industrial Base (FSI/DIB) team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.</p>\n<p>Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You&#39;ll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks&#39; market growth.</p>\n<p>The Impact You Will Have:</p>\n<ul>\n<li>Alongside the sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for the FSIs and DIBs customers</li>\n<li>You will hire, train, lead, and grow the Solutions Architect team for a company in high-growth mode</li>\n<li>Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses</li>\n<li>You will maintain a robust hiring pipeline at all times</li>\n<li>Establish relationships across the business to make your customers and team successful</li>\n<li>Keep your team of SAs ahead of the technical curve</li>\n</ul>\n<p>An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs</p>\n<p>What We Look For:</p>\n<ul>\n<li>Proven experience building and leading technical pre-or post-sales teams</li>\n<li>5+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI)</li>\n<li>Alternatively, 5+ years of experience in mission-focused space impacting DIB or FSI from a technology perspective</li>\n<li>Trusted advisor to technical executives that guide strategic data infrastructure decisions</li>\n<li>Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations</li>\n<li>Strategic mindset focused on driving customer outcomes in an accelerated fashion</li>\n<li>Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles</li>\n<li>Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams</li>\n<li>Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success</li>\n<li>Technical and business skills to earn the trust of Engineering talent and leadership at Databricks</li>\n<li>Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions</li>\n</ul>\n<p>Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $192,100-$264,175 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_859ea28b-09c","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/8332835002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$192,100-$264,175 USD","x-skills-required":["data engineering","data science","data warehousing","generative AI","enterprise software","big data/analytics","technical sales team management","cross-functional team management","strategic planning","hiring and talent development"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:44.655Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Maryland; Virginia; Washington, D.C."}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data science, data warehousing, generative AI, enterprise software, big data/analytics, technical sales team management, cross-functional team management, strategic planning, hiring and talent development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192100,"maxValue":264175,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_180ebe54-0f4"},"title":"Senior Named Account Executive, Canada","description":"<p>We are looking for a seasoned sales professional to cover large accounts in Canada. The ideal candidate will possess both a sales and technical background that enables them to drive engagement at all levels with technical and non-technical buyers.</p>\n<p>As an Senior Named Account Executive, you&#39;ll be responsible for developing and executing against a comprehensive account/territory plan as well as driving sales in a defined territory and/or account list to achieve revenue targets.</p>\n<p>Additional responsibilities will include:</p>\n<ul>\n<li>Manage contract negotiations</li>\n<li>Maintain a robust sales pipeline</li>\n<li>Develop long-term strategic relationships with key accounts</li>\n<li>Ensure customer satisfaction</li>\n</ul>\n<p>Examples of desirable skills, knowledge, and experience include:</p>\n<ul>\n<li>A minimum 6 years of direct B2B experience selling security or networking products/solutions (cyber security, IaaS, PaaS, etc)</li>\n<li>A minimum 3 years selling to large enterprise accounts in Canada, specifically in the Toronto, Montreal or Vancouver markets</li>\n<li>Experience managing longer, complex sales cycles</li>\n<li>Deep understanding of computer networking and “how the internet works”</li>\n<li>Aptitude for learning technical concepts/terms (technical background in network engineering or computer science is a plus)</li>\n<li>Strong interpersonal communication (verbal and written) and organizational skills</li>\n<li>Bilingual (French/English)</li>\n<li>Self-motivated; 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You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</p>\n<p>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</p>\n<p>Please note this role requires 3 days in office per week.</p>\n<p>Deadline to apply: None. 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This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy.</p>\n<p>You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>\n<li>Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>\n<li>Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>\n<li>Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>\n<li>Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>\n<li>Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.</li>\n<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>\n<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>\n<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>\n<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>\n<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>\n<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>\n<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>\n<li>Experience enabling self-service analytics or citizen data science capabilities.</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_a1f35a9c-2e5","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/7731595","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$184,000-$253,000 USD","x-skills-required":["data science","machine learning","Python","SQL","statistical modeling","data engineering","analytics engineering","data analysts"],"x-skills-preferred":["high-growth SaaS","cybersecurity","identity","enterprise software"],"datePosted":"2026-04-18T15:58:37.181Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, machine learning, Python, SQL, statistical modeling, data engineering, analytics engineering, data analysts, high-growth SaaS, cybersecurity, identity, enterprise software","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":253000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_63a79841-36e"},"title":"Solutions Architect (Vietnam)","description":"<p>At Databricks, we&#39;re seeking a Solutions Architect to join our Field Engineering team in Vietnam. 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You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field.</p>\n<p>You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>You will be a Big Data Analytics expert on aspects of architecture and design</li>\n<li>Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem</li>\n<li>Support your customers by authoring reference architectures, how-tos, and demo applications</li>\n<li>Integrate Databricks with 3rd-party applications to support customer architectures</li>\n<li>Engage with the technical community by leading workshops, seminars and meet-ups</li>\n</ul>\n<p>Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value</p>\n<p>What we look for:</p>\n<ul>\n<li>Strong consulting / customer facing experience, working with external clients across a variety of industry markets</li>\n<li>Core strength in either data engineering or data science technologies</li>\n<li>8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding</li>\n<li>8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)</li>\n<li>6+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others</li>\n<li>Coding experience in Python, R, Java, Apache Spark or Scala</li>\n</ul>\n<p>About Databricks</p>\n<p>Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p>Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.</p>\n<p>Benefits</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. 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PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact</li>\n</ul>\n<ul>\n<li>Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design</li>\n</ul>\n<ul>\n<li>Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users</li>\n</ul>\n<ul>\n<li>Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities</li>\n</ul>\n<ul>\n<li>Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation</li>\n</ul>\n<ul>\n<li>Establish business cases and projected return on investment to identify and prioritize opportunities</li>\n</ul>\n<ul>\n<li>Partner with finance and business leaders to manage impact on the profitability and growth of the overall business</li>\n</ul>\n<ul>\n<li>Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners</li>\n</ul>\n<p><strong>Ideal Candidate</strong></p>\n<ul>\n<li>4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)</li>\n</ul>\n<ul>\n<li>Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments</li>\n</ul>\n<ul>\n<li>Experience translating complex technical systems into clear product strategies , comfort engaging deeply with engineering and data science teams</li>\n</ul>\n<ul>\n<li>Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences</li>\n</ul>\n<ul>\n<li>Experience building products from the ground up and iterating through the scaling journey of a business</li>\n</ul>\n<ul>\n<li>Bachelor’s or advanced degree in a quantitative, engineering, or related discipline</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. 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Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>As a Project Manager Intern specializing in Process &amp; AI Innovation within the Marketing team, you will be pivotal in boosting our operational efficiency. This is a dynamic opportunity to apply project management principles and emerging AI technologies to streamline internal processes across the Go-To-Market organization.</p>\n<p>Responsibilities Project and Administrative Support: Provide administrative and project management support, including coordinating activities, tracking milestones, and assisting with team deliverables, documentation, and reporting (meeting notes, project reports, etc.). Operational Playbook and Wiki: Assist in mapping, analyzing, and documenting existing partner processes (AE, PAM, etc.) to create clear visual playbooks and internal wikis. 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Recommendations: Help synthesize findings and data into clear, measurable recommendations that align with sales motions and business outcomes.</p>\n<p>Skills &amp; Qualifications</p>\n<ul>\n<li>Currently pursuing a degree in Business, Project Management, Operations, Data Science, or a related field.</li>\n<li>Available for a full-time 12-week internship, working from our Austin or San Francisco office 3-5 days a week during the summer (May-Aug).</li>\n<li>Business Strategy or Tech-focused student with a strong interest in AI/Automation, process improvement, program management, and technology exploration.</li>\n<li>Strong organizational, communication, and analytical skills with the ability to manage multiple tasks and translate ideas into structured documentation.</li>\n<li>A natural problem-solver who enjoys mapping out a process (using tools like Lucidchart or Miro) and thinking about how to make it simpler and faster.</li>\n</ul>\n<p>Compensation Estimated hourly pay of $24/hour.</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_095054dd-67d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7729606","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["project management","process improvement","AI/Automation","data science","business strategy","program management","technology exploration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:13.791Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"In-Office"}},"employmentType":"INTERN","occupationalCategory":"Marketing","industry":"Technology","skills":"project management, process improvement, AI/Automation, data science, business strategy, program management, technology exploration"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d2d09226-58e"},"title":"Solutions Architect","description":"<p>We are looking for an experienced pre-sales professional with a successful track record helping large enterprises become more data-driven. As a Solutions Architect, you will work with the Enterprise Account Executive (AE) to define and direct the technical strategy for our important accounts, leading to more widespread use of our products and deeper adoption of ML &amp; AI.</p>\n<p>Your impact will be significant, as you will be the main technical voice for Databricks, leading your customers on a transformational journey to evaluate and adopt Databricks as part of their strategy. You will implement the technical strategy in the account, in close understanding of the strategy, and build a movement of technical champions within the account.</p>\n<p>Responsibilities include:</p>\n<ul>\n<li>Establishing virtual customer collaboration and leading them to ultimate success within the account</li>\n<li>Working multiple accounts simultaneously</li>\n<li>Forming relationships with executives and influencers</li>\n<li>Presenting a convincing point-of-view to important decision-makers that leads them down a path of success</li>\n<li>Being technical in big data, data science, and cloud</li>\n<li>Driving data-driven business transformation and change with data</li>\n</ul>\n<p>Nice to have: Databricks and Cloud Provider Certifications</p>\n<p>Benefits: Comprehensive benefits and perks that meet the needs of all employees, including those in your region.</p>\n<p>Our Commitment to Diversity and Inclusion: We foster a diverse and inclusive culture where everyone can excel, and our hiring practices are inclusive and meet equal employment opportunity standards.</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_d2d09226-58e","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/7896350002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["big data","data science","cloud","technical leadership","value selling","technical account management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:09.254Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"big data, data science, cloud, technical leadership, value selling, technical account management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8cf75fcf-78b"},"title":"Learning Product Manager Lead","description":"<p>We are looking for a Learning Product Manager to own the platform learning experience for Databricks customers, partners, and internal practitioners. You will sit at the intersection of product, UX, and learning science, building the systems that help data and AI teams build skills needed to become successful and confident users of the Databricks platform.</p>\n<p>You&#39;ll define how users discover, practice, and demonstrate skills across in-product journeys, training, and AI-assisted guidance. You will work closely with engineering, design, curriculum, and go-to-market teams to translate pedagogical goals into scalable platform capabilities, from adaptive learning flows and assessments to analytics that prove real skill development.</p>\n<p>Key responsibilities include defining and driving the product vision, strategy, and roadmap for AI-first learning systems on the Databricks platform, designing experiences that surface targeted knowledge precisely when users need it, translating learning and pedagogical goals into platform capabilities, partnering with UX and content design to create intuitive, embedded guidance and learning patterns, collaborating with platform and infrastructure teams to ensure learning and skills systems are reliable, secure, performant, and able to serve global enterprise customers at scale, and providing employees and leaders with transparent views into skills, enablement activities, and progress toward role and organizational goals through dashboards, reports, and in-product insights.</p>\n<p>What success looks like in the first 12 months includes a cohesive, AI-first skills platform and experience being live, guiding users from first login with contextual, just-in-time experiences triggered by work context, clear, trusted metrics existing for learning efficacy and skill attainment, predictive insights into emerging capability and skills gaps being available to leaders, enablement teams using platform tools to deliver personalized learning and guidance at scale without needing to grow headcount proportionally, and learning and skills capabilities being integrated with broader Databricks platform features and measurably improving adoption and expansion.</p>\n<p>Qualifications include 5-8+ years of experience in product management, UX-focused product roles, or learning/education platforms, ideally within B2B SaaS, developer tools, or data/AI products, demonstrated experience owning a product area end to end, experience building or working on learning systems, training platforms, or content/knowledge experiences, strong UX instincts and a track record of collaborating closely with designers and researchers, comfort working with data, excellent written and verbal communication skills, and experience with AI-powered learning, adaptive systems, or building products that incorporate LLMs into user workflows.</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_8cf75fcf-78b","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/8466731002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$154,300-$212,200 USD","x-skills-required":["Product Management","UX Design","Learning Science","Data Analytics","AI","Machine Learning","Cloud Computing","Software Development","Project Management"],"x-skills-preferred":["Adobe XD","Figma","Sketch","InVision","Zeplin","Jira","Asana","Trello","Notion","Airtable"],"datePosted":"2026-04-18T15:58:00.009Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, UX Design, Learning Science, Data Analytics, AI, Machine Learning, Cloud Computing, Software Development, Project Management, Adobe XD, Figma, Sketch, InVision, Zeplin, Jira, Asana, Trello, Notion, Airtable","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":154300,"maxValue":212200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c85087bb-6a8"},"title":"AI Tutor - Danish","description":"<p>As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI&#39;s mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts.</p>\n<p>Your work will focus on curating and annotating high-quality audio data to enhance Grok&#39;s global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI&#39;s handling of multilingual audio nuances.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.</li>\n</ul>\n<ul>\n<li>Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.</li>\n</ul>\n<ul>\n<li>Collaborate with technical staff to develop tasks that improve AI&#39;s ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.</li>\n</ul>\n<ul>\n<li>Work with technical staff to improve annotation tools for efficient audio workflows.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations.</li>\n</ul>\n<ul>\n<li>Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.</li>\n</ul>\n<ul>\n<li>Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.</li>\n</ul>\n<ul>\n<li>Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.</li>\n</ul>\n<ul>\n<li>Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.</li>\n</ul>\n<ul>\n<li>Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.</li>\n</ul>\n<ul>\n<li>Commitment to developing AI that masters sophisticated multilingual audio capabilities.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.</li>\n</ul>\n<ul>\n<li>Deep understanding and taste of what good/useful Audio data is.</li>\n</ul>\n<ul>\n<li>Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.</li>\n</ul>\n<ul>\n<li>Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.</li>\n</ul>\n<ul>\n<li>Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.</li>\n</ul>\n<ul>\n<li>Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.</li>\n</ul>\n<ul>\n<li>Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.</li>\n</ul>\n<ul>\n<li>Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n</ul>\n<ul>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n</ul>\n<ul>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.</li>\n</ul>\n<ul>\n<li>For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.</li>\n</ul>\n<ul>\n<li>We are unable to provide visa sponsorship.</li>\n</ul>\n<ul>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.</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_c85087bb-6a8","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/5090189007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$35/hour - $45/hour","x-skills-required":["Multilingual audio capabilities","Proprietary software","Audio data curation","Annotation tools","Speech recognition","Auditory experiences","Diverse languages","Accents","Cultural contexts","Linguistic and prosodic details","Professional audio standards","Speech modulation","Accent variation","Noise in real-world recordings","Multilingual audio processing","Audio workflows","Transcription","Audio quality","Voice recordings","Feedback on audio samples","Independent judgments","Ambiguous audio scenarios","Defensible annotation decisions","Portfolio","Voice samples","Annotated transcripts","Audio-related work","Quality","Methodology","Attention to detail","Professional experience in voice","Linguistics","Speech data","Speech evaluation and research"],"x-skills-preferred":["Exceptional attention to linguistic nuance","Auditory detail","Data quality","Advanced transcription and annotation practices","Disfluencies","Prosodic features","Intonation","Stress","Rhythm","Emotion","Phonetics","Phonology","Sociolinguistics","Speech sciences","Cognitive science","Pronunciation differences","Multilingual speech patterns","Speech/audio datasets","Annotation workflows","AI training data","Training voice models","Data quality impacts model performance","Voice acting","Voice recording","Podcasting","Measurable audience","Clarity and recording quality"],"datePosted":"2026-04-18T15:57:57.773Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Multilingual audio capabilities, Proprietary software, Audio data curation, Annotation tools, Speech recognition, Auditory experiences, Diverse languages, Accents, Cultural contexts, Linguistic and prosodic details, Professional audio standards, Speech modulation, Accent variation, Noise in real-world recordings, Multilingual audio processing, Audio workflows, Transcription, Audio quality, Voice recordings, Feedback on audio samples, Independent judgments, Ambiguous audio scenarios, Defensible annotation decisions, Portfolio, Voice samples, Annotated transcripts, Audio-related work, Quality, Methodology, Attention to detail, Professional experience in voice, Linguistics, Speech data, Speech evaluation and research, Exceptional attention to linguistic nuance, Auditory detail, Data quality, Advanced transcription and annotation practices, Disfluencies, Prosodic features, Intonation, Stress, Rhythm, Emotion, Phonetics, Phonology, Sociolinguistics, Speech sciences, Cognitive science, Pronunciation differences, Multilingual speech patterns, Speech/audio datasets, Annotation workflows, AI training data, Training voice models, Data quality impacts model performance, Voice acting, Voice recording, Podcasting, Measurable audience, Clarity and recording quality"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_da439e6e-91e"},"title":"Senior Commercial Account Executive, Israel","description":"<p>About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>About this Role The Senior Commercial Account Executive position effectively delivers the full sales cycle from prospecting to negotiating and closing sales with new &amp; existing customers in line with business plans. Identify and progress cross-sell opportunities to maximise revenue goals. Selling new products and generating additional sales revenue through effective sales outreach activity.</p>\n<p>Main Responsibilities:</p>\n<ul>\n<li>Develop and execute a comprehensive account/territory plan to achieve quarterly sales and annual revenue targets in a defined territory and/or account list.</li>\n<li>Drive new business acquisition (new customer logos), customer expansion (upsell and cross-sell Cloudflare solutions), and renewal within your territory.</li>\n<li>Build a robust sales pipeline through continual engagement and nurturing of key prospect accounts.</li>\n<li>Understand customer use-cases and how they pair with Cloudflare’s portfolio solutions in order to identify new sales opportunities.</li>\n<li>Craft and communicate compelling value propositions for Cloudflare services. Drive awareness through regular outbound campaigns on product and feature roadmap updates.</li>\n<li>Effectively scale the territory with partners - Accurately forecast commercial outcomes by running a consistent sales process, including driving next step expectations and contract negotiations.</li>\n<li>As a trusted advisor, build long-term strategic relationships with key accounts, to ensure customer adoption, retention and expansion. Regularly evaluate usage trends and articulate value to show Cloudflare impact and provide strategic recommendations during business reviews.</li>\n<li>Network across different business units with each of your accounts, and multi-thread to identify and engage new divisional buyers.</li>\n<li>Position Cloudflare&#39;s platform in each of your target customers, including Cloudflare One and the Connectivity Cloud to realise our full potential in every customer.</li>\n<li>Operate internally as a liaison with cross-functional teams to share key customer feedback and insights to improve customer experience and further investments with Cloudflare.</li>\n</ul>\n<p>Direct B2B sales experience, adept at new business acquisition and account management. Experience selling a technical, cloud-based product or service - Working knowledge of the cloud infrastructure and security space - Solid understanding of computer networking and Internet functioning. Keenness for learning technical concepts/terms. Technical background in engineering, computer science, or MIS is advantageous.</p>\n<p>Knowledge/Experience:</p>\n<ul>\n<li>Fluency in Hebrew - 6+ years of B2B selling experience and selling Enterprise Software or SaaS (network security preferred) or Hardware solutions and services to Mid-Enterprise/ Enterprise customers - Relevant direct experience, track record, and relationships within enterprise and mid-market accounts in the territory - New Business &amp; Expansion - Experience managing longer, complex sales cycles - Fast paced environment - Enterprise IT/Cyber Security background - Aptitude for learning technical concepts/terms (Technical background in engineering, computer science, or MIS a plus)</li>\n</ul>\n<p>What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organisations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you!</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_da439e6e-91e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7095765","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["B2B sales experience","New business acquisition and account management","Technical, cloud-based product or service","Cloud infrastructure and security space","Computer networking and Internet functioning"],"x-skills-preferred":["Fluency in Hebrew","Enterprise Software or SaaS (network security preferred)","Hardware solutions and services to Mid-Enterprise/ Enterprise customers","Technical background in engineering, computer science, or MIS"],"datePosted":"2026-04-18T15:57:57.035Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"B2B sales experience, New business acquisition and account management, Technical, cloud-based product or service, Cloud infrastructure and security space, Computer networking and Internet functioning, Fluency in Hebrew, Enterprise Software or SaaS (network security preferred), Hardware solutions and services to Mid-Enterprise/ Enterprise customers, Technical background in engineering, computer science, or MIS"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9bb1344c-662"},"title":"Sr. Solutions Engineer, Retail - CPG","description":"<p>We are looking for a Senior Solutions Engineer to join our team. As a Senior Solutions Engineer, you will work with large enterprises in the Retail and CPG space to help them become more data-driven. You will define and direct the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML &amp; AI.</p>\n<p>You will work closely with the Account Executive to develop and execute a technical strategy that aligns with the customer&#39;s goals and objectives. You will also work with a team of engineers to build proofs of concept and demonstrate our products.</p>\n<p>The ideal candidate will have a strong background in value selling, technical account management, and technical leadership. 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to generate data that improves model accuracy and honesty</li>\n</ul>\n<ul>\n<li>Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims</li>\n</ul>\n<ul>\n<li>Create tools to help human evaluators efficiently assess model outputs for accuracy</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have an MS/PhD in Computer Science, ML, or related field</li>\n</ul>\n<ul>\n<li>Possess strong programming skills in Python</li>\n</ul>\n<ul>\n<li>Have industry experience with language model finetuning and classifier training</li>\n</ul>\n<ul>\n<li>Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy</li>\n</ul>\n<ul>\n<li>Care about AI safety and the accuracy and honesty of both current and future AI systems</li>\n</ul>\n<ul>\n<li>Have experience in data science or the creation and curation of datasets for finetuning LLMs</li>\n</ul>\n<ul>\n<li>An understanding of various 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The pay range for this role is $192,100-$264,175 USD.</p>\n<p>Benefits:</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.</p>\n<p>Our Commitment to Diversity and Inclusion:</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. 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The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipated utilizing the full width of the range.</p>\n<p>The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 2 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 3 Pay Range $180,656-$248,360 USD</p>\n<p>Zone 4 Pay Range $180,656-$248,360 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_fdc6f0f9-900","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/8461168002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,656-$248,360 USD","x-skills-required":["data engineering","data science","cloud technology","Apache Spark","distributed computing","CI/CD","MLOps","performant end-to-end data architectures","technical project delivery","documentation and white-boarding skills","client management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:29.214Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data science, cloud technology, Apache Spark, distributed computing, CI/CD, MLOps, performant end-to-end data architectures, technical project delivery, documentation and white-boarding skills, client management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180656,"maxValue":248360,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf82e408-47b"},"title":"Scaling Experiments for AI-designed Medicines","description":"<p>At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, interdisciplinary team.</p>\n<p>Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. 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Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof-of-concept phases, and act as a trusted advisor to our customers on their data and AI strategy.</p>\n<p>You will help customers realize tangible, data-driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Be a Big Data Analytics expert on aspects of architecture and design</li>\n<li>Lead your prospects through evaluating and adopting Databricks</li>\n<li>Support your customers by authoring reference architectures, how-tos, and demo applications</li>\n<li>Integrate Databricks with 3rd-party applications to support customer architectures</li>\n<li>Engage with the technical community by leading workshops, seminars, and meet-ups</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>Pre-sales or post-sales experience working with external clients across a variety of industry markets</li>\n<li>Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous</li>\n<li>Experience demonstrating technical concepts, including presenting and whiteboarding</li>\n<li>Experience designing and implementing architectures within public clouds (AWS, Azure, or GCP)</li>\n<li>Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others</li>\n<li>Fluent coding experience in Python or Scala implementing Apache Spark, Java, and R is also desirable</li>\n<li>Experience working with Enterprise Accounts</li>\n<li>Written and verbal fluency in Japanese</li>\n</ul>\n<p>Benefits:</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 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As a Manager, Field Engineering, you will be responsible for leading and promoting a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead and promote a dynamic team of Solutions Architects</li>\n<li>Partner with Sales and other Field Engineering technical segments to increase revenue and help customers become wildly successful</li>\n<li>Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks&#39; growth in the market</li>\n</ul>\n<p>The Impact You Will Have:</p>\n<ul>\n<li>Hire, train, and grow a team of Solutions Architects for a company in high-growth mode</li>\n<li>Make your customers extremely successful with Databricks and provide outsized value to their businesses</li>\n<li>Maintain a robust hiring pipeline at all times</li>\n<li>Establish relationships across the business to make your customers and team successful</li>\n<li>Keep your team of SAs ahead of the technical curve</li>\n</ul>\n<p>What We Look For:</p>\n<ul>\n<li>Proven experience building and leading technical pre-or post-sales teams</li>\n<li>10+ years of experience in the data space with a technical product</li>\n<li>Trusted advisor to technical executives that guide strategic data infrastructure decisions</li>\n<li>Strong understanding of consumption-driven business models and the recipes for long-term growth and success</li>\n<li>Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles</li>\n</ul>\n<p>About Databricks:</p>\n<p>Databricks is the data and AI company. 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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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We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</p>\n<p>Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>\n<p>Compliance</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</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_dd67fe82-1c8","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/8346277002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Big Data technologies","Apache Spark","AI","Data Science","Data Engineering","Hadoop","Cassandra","Python","R","Java","Scala"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:18.281Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Big Data technologies, Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, Python, R, Java, Scala"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f421360-4eb"},"title":"Senior Data Scientist, Growth","description":"<p><strong>About the Role</strong></p>\n<p>Your North Star: Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies.</p>\n<p>We&#39;re looking to bring on an experienced Senior Data Scientist to own the data strategy for our Growth and Patient Experience team. In this role, you will hold a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo&#39;s patient experience strategy</li>\n<li>Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment.</li>\n<li>Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team</li>\n<li>Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations</li>\n<li>Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey.</li>\n<li>Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact</li>\n<li>Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years professional experience in data science, product analytics, or data engineering</li>\n<li>1+ years professional experience working in healthcare, consumer health, or high-touch consumer products</li>\n<li>Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack</li>\n<li>Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis</li>\n<li>Passionate about improving maternal health outcomes and creating exceptional patient experiences</li>\n<li>Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems</li>\n<li>Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert</li>\n<li>A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences</li>\n<li>Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)</li>\n<li>Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications</li>\n<li>Background in healthcare AI, clinical decision support, or medical NLP</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_0f421360-4eb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pomelo Care","sameAs":"https://www.pomelocare.com/","logo":"https://logos.yubhub.co/pomelocare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pomelocare/jobs/5970852004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","data science","product analytics","data engineering","healthcare","consumer health","high-touch consumer products","product prototyping","A/B testing","user behavior analysis","data visualization","dashboarding tools","modern data stack tools"],"x-skills-preferred":["AI model development","fine-tuning","prompt engineering","model evaluation","production AI applications","healthcare AI","clinical decision support","medical NLP"],"datePosted":"2026-04-18T15:57:12.314Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"SQL, Python, data science, product analytics, data engineering, healthcare, consumer health, high-touch consumer products, product prototyping, A/B testing, user behavior analysis, data visualization, dashboarding tools, modern data stack tools, AI model development, fine-tuning, prompt engineering, model evaluation, production AI applications, healthcare AI, clinical decision support, medical NLP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca38c08d-e8f"},"title":"Staff Data Scientist - Marketing Analytics","description":"<p>Join us to build the measurement and decision engine for patient growth.</p>\n<p>As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.</p>\n<p>Your job is to help Headway answer the questions that matter:</p>\n<ul>\n<li>What is truly incremental?</li>\n</ul>\n<ul>\n<li>Where should we invest next?</li>\n</ul>\n<ul>\n<li>What is driving performance shifts?</li>\n</ul>\n<ul>\n<li>How do we scale what works without fooling ourselves?</li>\n</ul>\n<p>You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.</li>\n</ul>\n<ul>\n<li>Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.</li>\n</ul>\n<ul>\n<li>Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”</li>\n</ul>\n<ul>\n<li>Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.</li>\n</ul>\n<ul>\n<li>Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.</li>\n</ul>\n<ul>\n<li>Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.</li>\n</ul>\n<ul>\n<li>Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.</li>\n</ul>\n<ul>\n<li>Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.</li>\n</ul>\n<p>What will make you successful:</p>\n<ul>\n<li>10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).</li>\n</ul>\n<ul>\n<li>Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.</li>\n</ul>\n<ul>\n<li>Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.</li>\n</ul>\n<ul>\n<li>Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.</li>\n</ul>\n<ul>\n<li>Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.</li>\n</ul>\n<ul>\n<li>Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.</li>\n</ul>\n<ul>\n<li>High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.</li>\n</ul>\n<ul>\n<li>You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.</li>\n</ul>\n<ul>\n<li>Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.</li>\n</ul>\n<ul>\n<li>Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).</li>\n</ul>\n<ul>\n<li>Experience partnering with Finance on budget allocation, payback, and scenario planning.</li>\n</ul>\n<ul>\n<li>Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ca38c08d-e8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://www.headway.com/","logo":"https://logos.yubhub.co/headway.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5751646004","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$212,000 - $265,000","x-skills-required":["data science","analytics","experimentation","marketing","growth","SQL","Python","R","causal inference","incrementality","modeling","forecasting","LTV estimation","saturation","diminishing returns","MMM concepts","calibration","monitoring"],"x-skills-preferred":["geo experiments","marketplace constraints","capacity-aware marketing optimization","acquisition quality","downstream engagement","retention","clinical matching quality","unit economics","lifecycle marketing measurement","uplift","experimentation design for messaging","budget allocation","payback","scenario planning"],"datePosted":"2026-04-18T15:57:07.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Healthcare","skills":"data science, analytics, experimentation, marketing, growth, SQL, Python, R, causal inference, incrementality, modeling, forecasting, LTV estimation, saturation, diminishing returns, MMM concepts, calibration, monitoring, geo experiments, marketplace constraints, capacity-aware marketing optimization, acquisition quality, downstream engagement, retention, clinical matching quality, unit economics, lifecycle marketing measurement, uplift, experimentation design for messaging, budget allocation, payback, scenario planning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":212000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_03224784-9c2"},"title":"Senior Data Engineering Manager","description":"<p>Job Title: Senior Data Engineering Manager</p>\n<p>Location: Dublin, Ireland</p>\n<p>Department: R&amp;D</p>\n<p>Job Description:</p>\n<p>Intercom is seeking a Senior Data Engineering Manager to lead the design and evolution of the core infrastructure that powers our entire data ecosystem. As a leader, you will partner with product and business teams to drive key data initiatives and ensure the success of our data engineering team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Next-Gen Platform Evolution: Partner with product and business teams to design and implement the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.</li>\n</ul>\n<ul>\n<li>Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build self-service tooling and infrastructure that enables them to move fast and deploy safely.</li>\n</ul>\n<ul>\n<li>Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment.</li>\n</ul>\n<ul>\n<li>Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.</li>\n</ul>\n<p>Strategic Impact You&#39;ll Drive:</p>\n<ul>\n<li>GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business-focused internal software.</li>\n</ul>\n<ul>\n<li>Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible.</li>\n</ul>\n<ul>\n<li>Platform &amp; Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure to ensure it can scale exponentially for future growth and advanced use cases.</li>\n</ul>\n<p>Recent Wins You&#39;ll Build Upon:</p>\n<ul>\n<li>AI-assisted Local Analytics Development Environment for Airflow and DBT.</li>\n</ul>\n<ul>\n<li>Data-rich AI apps containerized on Snowflake SPCS.</li>\n</ul>\n<ul>\n<li>A new, modern data catalog solution.</li>\n</ul>\n<ul>\n<li>Migrating critical MySQL ingestion pipelines from Aurora to PlanetScale.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>A leader, a builder, and a problem-solver who thrives on solving real-world business problems.</li>\n</ul>\n<ul>\n<li>7+ years of experience in the data space, leading teams of 6+ engineers.</li>\n</ul>\n<ul>\n<li>Stakeholder focus: ability to communicate complex technical solutions to a business-focused audience and vice versa.</li>\n</ul>\n<ul>\n<li>Technical depth: not afraid to get hands dirty and write code when needed.</li>\n</ul>\n<ul>\n<li>A leader and mentor: naturally recognizes opportunities to step back and mentor others.</li>\n</ul>\n<p>Bonus Points (Our Modern Stack Knowledge):</p>\n<ul>\n<li>Airflow at scale: extensive experience working with Apache Airflow, especially the nuances of operating it reliably in a high-volume environment.</li>\n</ul>\n<ul>\n<li>Modern data stack fluency: familiarity with tools like Snowflake and DBT.</li>\n</ul>\n<ul>\n<li>Future-focused: keeps a keen eye on industry trends and emerging technologies.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and equity in a fast-growing start-up.</li>\n</ul>\n<ul>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.</li>\n</ul>\n<ul>\n<li>Regular compensation reviews - we reward great work!</li>\n</ul>\n<ul>\n<li>Pension scheme &amp; match up to 4%.</li>\n</ul>\n<ul>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.</li>\n</ul>\n<ul>\n<li>Open vacation policy and flexible holidays so you can take time off when you need it.</li>\n</ul>\n<ul>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.</li>\n</ul>\n<ul>\n<li>If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.</li>\n</ul>\n<ul>\n<li>MacBooks are our standard, but we also offer Windows for certain roles when needed.</li>\n</ul>\n<p>Policies:</p>\n<ul>\n<li>Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home.</li>\n</ul>\n<ul>\n<li>We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.</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_03224784-9c2","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/7574762","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Airflow","Apache Airflow","DBT","Snowflake","Data Engineering","Data Science","Analytics","Data Management","Data Quality","Automation","Cloud Computing","Data Warehousing","Big Data","Machine Learning","Artificial Intelligence"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:06.635Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Airflow, Apache Airflow, DBT, Snowflake, Data Engineering, Data Science, Analytics, Data Management, Data Quality, Automation, Cloud Computing, Data Warehousing, Big Data, Machine Learning, Artificial Intelligence"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_13505dca-891"},"title":"Solutions Architect, Applied AI (Commercial)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.\\n\\nYou&#39;ll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.\\n\\nAs a Commercial Solutions Architect, you&#39;ll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude&#39;s reach across the broader Commercial book of business.\\n\\nWorking closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.\\n\\nResponsibilities:\\n\\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation\\n\\nServe as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success\\n\\nSupport customers building with the Claude API, Claude Code, and Claude for Enterprise\\n\\nShip working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend\\n\\nBuild reusable blueprints, demos, and enablement assets that scale across customers\\n\\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack\\n\\nHelp customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases\\n\\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams\\n\\nTravel occasionally to customer sites for workshops, technical deep dives, and relationship building\\n\\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns\\n\\nYou may be a good fit if you have:\\n\\n3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience\\n\\nA builder identity. You&#39;ve shipped real software, you have technical taste, and you care about the craft of what you build\\n\\nA systems mindset. When you see a problem, your instinct is to ask &quot;how do I make this reusable.&quot; You&#39;d rather build one thing that serves ten customers than ten things that serve one each\\n\\nStrong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected\\n\\nStrong ability to build trust with technical stakeholders and adjust your communication for varied audiences\\n\\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders\\n\\nExperience designing scalable cloud architectures and integrating with enterprise systems\\n\\nFamiliarity with common LLM frameworks and tools, or a background in machine learning or data science\\n\\nComfort operating in early-stage, ambiguous environments where the playbook doesn&#39;t exist yet, and a track record of building structure as you go\\n\\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities\\n\\nA love of teaching, mentoring, and helping others succeed\\n\\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary:$240,000-$315,000 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_13505dca-891","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/5192805008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$240,000-$315,000 USD","x-skills-required":["Python","LLM","Cloud Architecture","Enterprise Integration","Machine Learning","Data Science"],"x-skills-preferred":["Builder Identity","Systems Mindset","Technical Communication","Customer-Facing Skills"],"datePosted":"2026-04-18T15:57:04.205Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM, Cloud Architecture, Enterprise Integration, Machine Learning, Data Science, Builder Identity, Systems Mindset, Technical Communication, Customer-Facing Skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_88c39a28-f4b"},"title":"Staff Software Engineer - AI SDK","description":"<p>We&#39;re looking for a Staff Software Engineer to join our AI SDK team. As a member of this team, you will be creating building blocks to support the expanding ecosystem of AI applications. Temporal provides durable execution, the systems foundation used for reliable AI at leaders such as OpenAI, Lovable, Replit, and many others.</p>\n<p>The AI SDK team is pushing to keep Temporal at the forefront of AI applications. Because the landscape is constantly changing, we engage heavily in prototyping to ensure that the abstractions we develop meet the needs of emerging applications. We also ensure that Temporal integrates well with leading AI frameworks and libraries.</p>\n<p>As a Staff Software Engineer, you will:</p>\n<ul>\n<li>Work as a Software Engineer.</li>\n<li>Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries.</li>\n<li>Develop a deep understanding of AI application development techniques, including emerging approaches and architectures.</li>\n<li>Work with multiple programming languages, primarily Python and TypeScript.</li>\n<li>Make extensive use of AI coding tools, especially to ensure quality across a large number of integrations.</li>\n<li>Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.</li>\n<li>Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples.</li>\n<li>Work directly with our developer community to debug issues that need expert attention, and get feedback on Temporal SDK features and APIs.</li>\n<li>Write public technical documentation describing Temporal concepts and APIs.</li>\n<li>Go the extra mile to support a customer in need, on the rare occasion that AI SDK engineering expertise is needed.</li>\n<li>Travel to meet your coworkers for a week once or twice a year.</li>\n<li>Attend the occasional developer conference to talk about how great Temporal is (optional).</li>\n</ul>\n<p>You won&#39;t:</p>\n<ul>\n<li>Work as a Data Scientist, Data Analyst, Devops SWE, or SRE.</li>\n<li>Work in an office (unless you want to, but you&#39;d be by yourself). Temporal is a fully-remote company.</li>\n<li>Commit code that&#39;s poorly-tested or works &#39;most of the time&#39;. Temporal aspires to be &#39;Reliable as Gravity&#39;, and we expect our code to be the same.</li>\n<li>Work behind closed doors. The SDKs are open source,that means PRs and comments are open to the public, too.</li>\n<li>Sit in meetings all day. We mostly communicate in writing, and use meetings mainly for status updates and thorny issues that need input from the whole group.</li>\n<li>Wake up to pager alerts. We&#39;re extremely active in supporting our customers and the community, but we don&#39;t do 24/7 on-call.</li>\n</ul>\n<p>You&#39;ll bring:</p>\n<ul>\n<li>Experience and passion for harnessing generative AI, particularly for agents and coding.</li>\n<li>A deep understanding of how to use AI to increase quality, not only to increase quantity.</li>\n<li>A sense of taste in code and software development practice. Your approach should be opinionated and thoughtful, but not dogmatic.</li>\n<li>A track record of open source software contributions, including contributions to 3rd party libraries.</li>\n<li>Fluency in multiple programming languages, and an affinity for learning new ones.</li>\n<li>Deep experience with concurrent programming,you should know how to use mutexes, atomics, and other concurrency primitives safely.</li>\n<li>Experience designing APIs and writing documentation for publicly-available libraries or modules.</li>\n<li>Strong technical communication skills,written and verbal,in English.</li>\n<li>BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Familiarity with Temporal&#39;s programming model (e.g. you&#39;ve written an app on Temporal).</li>\n<li>Expedite building agents or other AI applications</li>\n<li>Background in machine learning, model training, data 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stack.</p>\n<p>You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives across India to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers across India throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences across India. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers across India integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>7+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\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</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>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&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.</li>\n</ul>\n<ul>\n<li>As such, we greatly value communication skills.</li>\n</ul>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</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_84761ab6-9fc","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/5146028008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical customer-facing roles","Enterprise customers","Complex buying cycles","Technical concepts","Cloud architectures","Python","LLM frameworks","Machine learning","Data science"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:31.782Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Enterprise customers, Complex buying cycles, Technical concepts, Cloud architectures, Python, LLM frameworks, Machine learning, Data science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e0e12720-cee"},"title":"Vice President of Product Management, Cloudflare One","description":"<p>About Us At Cloudflare, we are on a mission to help build a better Internet. 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By unifying Zero Trust Network Access (ZTNA), Secure Web Gateway (SWG), Wide Area Network (WAN) and Cloud Access Security Broker (CASB) as well as Email Security into a single, seamless SASE architecture, we are moving the industry beyond the legacy &#39;castle-and-moat&#39; era.</p>\n<p>What you&#39;ll do</p>\n<p>We are looking for a product leader to lead the Cloudflare One portfolio. You are not someone to simply manage a steady ship; you are someone to invent the next generation of Access, Gateway, and WAN, unlocking new Total Addressable Markets (TAM) in the SASE space while executing your way into being the market leader for the current Service Addressable Market (SAM).</p>\n<p>Desirable Skills, Knowledge, and Experience:</p>\n<ul>\n<li>A deep empathy for customers and an understanding of the fundamental shifts happening in technology, the SSE and SASE space, especially around AI</li>\n</ul>\n<ul>\n<li>Proven experience in a senior leadership role (e.g., former founder, Sr. Director, VP, CTO), having built and scaled both products and teams</li>\n</ul>\n<ul>\n<li>An entrepreneurial spirit with enterprise etiquette and a history of building things, whether in a successful venture or a passionate side project</li>\n</ul>\n<ul>\n<li>Proven ability to pivot instantly from technical deep-dives to high-level strategic discussions</li>\n</ul>\n<p>Must-Have Skills</p>\n<ul>\n<li>12+ years of experience in product management or a closely related role, with a focus on network and data security technologies (e.g., ZTNA, Gateways, DLP, CASB, data encryption, data classification, data privacy)</li>\n</ul>\n<ul>\n<li>Own the SASE product roadmap. 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You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.</p>\n<p>In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox&#39;s future, and act as a company-level technical strategist, advancing Dropbox&#39;s mission to create a more enlightened way of working.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.</li>\n</ul>\n<ul>\n<li>Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.</li>\n</ul>\n<ul>\n<li>Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.</li>\n</ul>\n<ul>\n<li>Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.</li>\n</ul>\n<ul>\n<li>Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.</li>\n</ul>\n<ul>\n<li>Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.</li>\n</ul>\n<ul>\n<li>Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.</li>\n</ul>\n<ul>\n<li>Drive AI adoption both to increase productivity and to produce AI-based features.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.</li>\n</ul>\n<ul>\n<li>15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.</li>\n</ul>\n<ul>\n<li>Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.</li>\n</ul>\n<ul>\n<li>Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.</li>\n</ul>\n<ul>\n<li>Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.</li>\n</ul>\n<ul>\n<li>Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.</li>\n</ul>\n<ul>\n<li>Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.</li>\n</ul>\n<ul>\n<li>Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.</li>\n</ul>\n<ul>\n<li>Experience operating in highly distributed, virtual-first engineering organisations at global scale.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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As a staff product manager, you&#39;ll be responsible for delivering platform features that enable app developers to better serve the needs of Stripe users.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Interact with users, app developers, and internal product teams daily to validate product ideas/requirements and prototypes</li>\n<li>Partner with engineering and design to ship functionality that delights users and app developers, has the right balance of impact vs engineering cost, and makes a measurable impact</li>\n<li>Develop the vision, strategy, and roadmap for Stripe Apps and the core extensibility platform</li>\n<li>Define key success metrics</li>\n<li>Work closely with user researchers to test hypotheses and understand user pain points</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>12+ years of Product Management experience</li>\n<li>Computer Science background or equivalent technical experience</li>\n<li>Both a passion for and experience with building and shipping application platforms for developers</li>\n<li>Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles</li>\n<li>Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts</li>\n<li>Demonstrated experience of leading initiatives across large engineering organizations, spanning multiple cross-functional teams to influence tech roadmap planning and execution</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Enjoy using social media to interact directly with customers for feedback</li>\n<li>Have founded a business / startup, taking a product from 0-1</li>\n<li>Have hands-on experience with testing and editing documentation</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_ed23d3d2-a36","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7550590","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Management","Computer Science","Application Platforms","User Research","Engineering"],"x-skills-preferred":["Social Media","Business Development","Documentation"],"datePosted":"2026-04-18T15:56:18.293Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, Seattle, NYC, Chicago, Toronto, US- Remote, Canada-Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Computer Science, Application Platforms, User Research, Engineering, Social Media, Business Development, Documentation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_73deb14e-4b1"},"title":"Senior Software Engineer, Financial Platform","description":"<p>We are looking for impact-focused full-stack engineers to join our world-class Revenue group as we accelerate Discord&#39;s growth through the creation of compelling paid products. 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