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Staff Applied Researcher\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Define and steward novel research directions that expand the organization’s long-term scientific agenda, ensuring foundational discoveries translate into deployable capabilities\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research\n\n \n Preferred Qualifications \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n\n \n\n • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Member of technical leadership for model deployment for a very large user behavior model \n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large language models \n, • 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Numerous Publications studying tokenization, data quality, dataset curation, or labeling \n, • Leading contributions to one or more large open source corpus (1 Trillion + tokens) \n, • Core contributor to open source libraries for data quality, dataset curation, or labeling\n \n, • Demonstrated history of initiating and leading multi-year research programs that shaped the direction of AI or ML subfields (e.g., representation learning, foundation models, multimodal reasoning)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $306,300 - $349,500 for Staff Applied Researcher\n \n McLean, VA: $306,300 - $349,500 for Staff Applied Researcher\n \n New York, NY: $334,100 - $381,300 for Staff Applied Researcher\n \n San Francisco, CA: $334,100 - $381,300 for Staff Applied Researcher\n \n San Jose, CA: $334,100 - $381,300 for Staff Applied Researcher\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Staff Applied Researcher\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Define and evolve the company’s long-term research agenda - identifying emergent scientific opportunities and steering foundational investments in AI innovation\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 10 years of industrial NLP research experience\n, • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n, • Has worked on an LLM (open source or commercial) that is currently available for use \n, • Demonstrated ability to guide the technical direction of a large-scale model training team \n, • Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens \n, • Experience with common training optimization frameworks (deep speed, nemo)\n \n, • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Member of technical leadership for model deployment for a very large user behavior model \n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large language models \n, • 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Numerous Publications studying tokenization, data quality, dataset curation, or labeling \n, • Leading contributions to one or more large open source corpus (1 Trillion + tokens) \n, • Core contributor to open source libraries for data quality, dataset curation, or labeling\n \n, • Recognized authority in AI or ML research with demonstrated influence on the evolution of a subfield (e.g., foundation models, multimodal learning, reasoning systems, or model efficiency)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $350,000 - $399,500 for Sr. Staff Applied Researcher\n \n McLean, VA: $350,000 - $399,500 for Sr. Staff Applied Researcher\n \n New York, NY: $381,800 - $435,700 for Sr. Staff Applied Researcher\n \n San Francisco, CA: $381,800 - $435,700 for Sr. Staff Applied Researcher\n \n San Jose, CA: $381,800 - $435,700 for Sr. Staff Applied Researcher\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Compliance Specialist Summary Description Reporting to the Assistant Director of Compliance, the chief responsibility for the Compliance Specialist is to assist in achieving quality compliance with the requirements of the WSFSSH’s external funders and regulators, thereby safeguarding WSFSSH’s assets and income streams, and meeting WSFSSH’s high standards for excellence in this sphere. In carrying out these duties the Compliance Specialist interacts extensively with both external stakeholders (lenders, syndicators, equity investors, government entities, etc.) and internal staff to ensure that WSFSSH meets its compliance and reporting requirements. Key Responsibilities • Assist with the completion of regular compliance reports, monitoring deadlines and requirements to deliver such reports in a timely, thorough, quality manner, • Act as assistant researcher regarding compliance and regulatory program standards and requirements; programs include HUD Section 8 / Affordable Housing, LIHTC, HOME, Mitchell-Lama, HHAP, Fair Housing, Affirmative Fair Housing Marketing, HPD Regulatory, among others, • Assume a supporting role in deciphering and communicating relevant updates, facts, and requirements of related programs; help identify and implement training; keep abreast of material industry / program changes that impact upon WSFSSH’s projects / assets, • Act as user of HUD Secure Systems (REAC, EIV, APPS), • Oversee and ensure quality control of the department’s Master Files (electronic and hard copy) related to asset management / compliance records, • Draft correspondence concerning all related asset management compliance, certification, subsidy, and other pertinent matters, • Serve as the Leasing and Compliance team’s primary source, communicator, and reference point for current and historical income limits, maximum rents and other key compliance parameters for relevant programs, • Review, approve, and resolve issues regarding certified rent rolls, TICs / recertification packages, site-based vacancy / occupancy reports, audit reports / audit responses, and other reports and data, • Be a proficient user and troubleshooter within RealPage’s Affordable system; work directly with the CFO to roll out / implement new modules as requested, • Complete ad hoc special projects, research, analysis as assigned by, and in collaboration with, the Director of Leasing and Compliance, • Support and train building staff in their role(s) as contributors to the safekeeping and preservation of WSFSSH assets Required Skills/Experience • Working knowledge of REAC, EIC, APPS, • Demonstrated experience in project management, affordable housing programs, income certification and/or subsidy/regulatory compliance, property management and/or other areas related to WSFSSH’s Asset Management function, • Excellent written and spoken communications skills, • Strong office/organizational skills, • Ability to problem-solve independently, • Proficiency in Word, Excel, Outlook, Teams, and Internet search/usage, • Experience with RealPage’s OneSite, • The ability to liaise effectively with supervisor, asset management staff, and other WSFSSH employees throughout the organization to achieve the Asset Management Team’s goal, • Be emotionally, mentally, and physically able to perform job responsibilities, • Maintain a strong and reliable work ethic and work schedule, • Must be willing and able to be flexible and adaptable, to multi-task, to effectively handle competing priorities, and to hold and exercise effective and appropriately professional boundaries Education • Bachelor of Arts/Bachelor of Science Degree preferred, • LIHTC Certification, or relevant work experience WSFSSH is an Equal Employment Opportunity Employer (EEO); employment is based upon employees’ qualifications without discrimination on the basis of race, creed, color, national origin, religion, sex, age, disability, marital status, sexual orientation, military status, citizenship status, genetic predisposition or carrier status, or any other protected characteristic as established by law. Powered by JazzHR 0Hts1yzoa0

Job Description Our client is seeking a Senior Product Manager to join their team in their New York City office. Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. The Senior Product Manager will take end-to-end ownership of product strategy, execution, and stakeholder management for two digital products: • Curious, a remote research and clinical data platform, • Mirror, an AI-powered journaling app designed with teens to support emotional reflection and mood tracking This role will help shape scalable research and care tools designed to improve mental health outcomes for children, teens, and families. The Senior Product Manager is an experienced, technically fluent, AI-native product leader who demonstrates strong judgment and a bias for execution, with experience or exposure to academic research, neuroscience, or mental health. Reporting to the Director of Operations and Project Management, this is a full-time, exempt position located in our Midtown Headquarters office, requiring a minimum of four days per week in the office. You Will: • Deliver Measurable Product and Business Impact - Own outcomes for these applications, including adoption, engagement, retention, and mission impact; define success metrics and consistently deliver against quantified goals aligned to organizational priorities., • Achieve and Maintain Product-Market Fit - Continuously validate customer and stakeholder needs through research and data; ensure delivered capabilities drive meaningful usage, satisfaction, and real-world impact across researchers, clinicians, and end users., • Define and Drive Product Strategy and Prioritization - Establish a clear product vision, target outcomes, and multi-quarter roadmap; make explicit trade-offs to focus investment on the highest-value opportunities., • Ensure Delivery of High-Quality Outcomes (Not Just Features) - Partner with engineering and design to deliver solutions that meet defined success criteria; hold accountability not just for launch, but for achieving intended business and user outcomes post-release., • Lead Cross-Functional Alignment and Execution - Align engineering, design, research, and leadership around priorities, trade-offs, and outcomes; drive clear decision-making and remove barriers to enable efficient, outcome-focused execution., • Competitive and Market Intelligence - Monitor the competitive landscape in digital wellness, mental health, and consumer research tools. Translate external signals into actionable product insights and inform strategic positioning., • Perform other job-related duties as assigned You Have: • Bachelor's degree or equivalent practical experience, • 5+ years of Product Manager experience, specifically managing and launching B2B, B2C SaaS software products, • Proven experience owning a full product roadmap, from prioritization through delivery, with a strong bias toward execution., • Ability to make and defend detailed, feature-level product decisions without significant oversight., • Experience managing multiple products or products across multiple platforms simultaneously., • Strong communication skillswith the ability to align engineering, design, and leadership stakeholders on product direction, priorities, and tradeoffs., • Experience with academic research, neuroscience, behavioral health, research tools, or consumer wellness, either as a researcher or through developing products within these areas., • Comfortable working independently in a lean product environment where ambiguity and self-direction are expected., • Active, working knowledge of current AI tools and how to apply them throughout product development workflows. Special Considerations: The anticipated salary range for this position is $155,000 - $190,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: The Senior Product Manager will take end-to-end ownership of product strategy, execution, and stakeholder management for two digital products: • Curious, a remote research and clinical data platform, • Mirror, an AI-powered journaling app designed with teens to support emotional reflection and mood tracking This role will help shape scalable research and care tools designed to improve mental health outcomes for children, teens, and families. The Senior Product Manager is an experienced, technically fluent, AI-native product leader who demonstrates strong judgment and a bias for execution, with experience or exposure to academic research, neuroscience, or mental health. Reporting to the Director of Operations and Project Management, this is a full-time, exempt position located in our Midtown Headquarters office, requiring a minimum of four days per week in the office. You Will: • Deliver Measurable Product and Business Impact — Own outcomes for these applications, including adoption, engagement, retention, and mission impact; define success metrics and consistently deliver against quantified goals aligned to organizational priorities., • Achieve and Maintain Product-Market Fit — Continuously validate customer and stakeholder needs through research and data; ensure delivered capabilities drive meaningful usage, satisfaction, and real-world impact across researchers, clinicians, and end users., • Define and Drive Product Strategy and Prioritization — Establish a clear product vision, target outcomes, and multi-quarter roadmap; make explicit trade-offs to focus investment on the highest-value opportunities., • Ensure Delivery of High-Quality Outcomes (Not Just Features) — Partner with engineering and design to deliver solutions that meet defined success criteria; hold accountability not just for launch, but for achieving intended business and user outcomes post-release., • Lead Cross-Functional Alignment and Execution — Align engineering, design, research, and leadership around priorities, trade-offs, and outcomes; drive clear decision-making and remove barriers to enable efficient, outcome-focused execution., • Competitive and Market Intelligence — Monitor the competitive landscape in digital wellness, mental health, and consumer research tools. Translate external signals into actionable product insights and inform strategic positioning., • Perform other job-related duties as assigned You Have: Bachelor’s degree or equivalent practical experience 5+ years of Product Manager experience, specifically managing and launching B2B, B2C SaaS software products Proven experience owning a full product roadmap, from prioritization through delivery, with a strong bias toward execution. Ability to make and defend detailed, feature-level product decisions without significant oversight. Experience managing multiple products or products across multiple platforms simultaneously. Strong communication skillswith the ability to align engineering, design, and leadership stakeholders on product direction, priorities, and tradeoffs. Experience with academic research, neuroscience, behavioral health, research tools, or consumer wellness, either as a researcher or through developing products within these areas. Comfortable working independently in a lean product environment where ambiguity and self-direction are expected. Active, working knowledge of current AI tools and how to apply them throughout product development workflows. #LI-hybrid Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org

Job Description About The Company goop is a lifestyle platform dedicated to exploration, curation, and groundbreaking conversation. From its award-winning beauty and fashion lines to its expansive editorial lens, goop invites women to embrace the process of becoming, and to discover deep joy in the pursuit of pleasure, beauty, and growth in all phases of life. Gwyneth Paltrow began goop in the fall of 2008 as a weekly newsletter. It has expanded into a beauty, fashion, and food business that's also known for its products, curation, podcast, TV shows, live events, and retail stores. About You You're an executor. You take direction and turn it into action fast, with accuracy and follow-through. You live in Notion and Slack, you set up new tools with ease, and you run operations so smoothly that everyone knows what's happening, who owns it and when it's due. You're AI-native and use technology to make every workflow faster, simpler and more reliable. Who You Are • Extremely executional: you get things done quickly and correctly, and you close every loop, • Strong operational manager: you run the machine behind the business, including calendars, logistics, tools, vendors, budgets and follow-through, • Systems builder: you learn new tools fast, set them up right the first time, and get people using them, • Highly organized: you manage a high volume of parallel projects without dropping a thread, • Skilled researcher: you gather information quickly and present it clearly, • Thoughtful communicator, verbally and in writing: you're polished, considered and concise, you read the room, and you know how to communicate with a founder. Your updates, to-dos and summaries are clear, specific and easy to act on, • Collaborative, with a good sense of humor: you stay steady and easy to work with under pressure, • Trustworthy and discreet: you handle sensitive information with care How You Operate • You communicate early and often; proactive updates are your default, • You follow direction closely and ask the right questions when something is unclear, • You're warm and direct, • You understand that small details, done right, build long-term trust About the Role This role reports directly to goop's Founder & Co-CEO and is dedicated to the Founder's business. You'll work in close partnership with Co-CEO Moj Mahdara and the executive team, and you'll be a trusted, day-to-day point of contact for the Founder. Strategy and decisions are set by the two Co-CEOs; your job is to execute. You coordinate the projects and needs coming from both Co-CEOs and the executive team, and you make sure every action item is tracked, assigned and completed. Your number one responsibility is running the Notion calendar and logistics. You also set up and roll out the tools and systems the team relies on, and you manage a pipeline of research and trend reports. CALENDAR & LOGISTICS MANAGEMENT • Own the Notion calendar as the central view of meetings, travel, launches, partner deliverables and deadlines, • Work closely with the Founder's Executive Assistant(s) on scheduling holds, availability and logistics for projects, events and partner commitments, • Coordinate logistics for travel, executive meetings, offsites and company-wide meetings and events, • Produce executive dinners and events from start to finish: guest lists, invitations, RSVPs and follow-ups, vendors, menus, gifting, budgets and on-site coordination, • Flag calendar conflicts, gaps and upcoming deadlines weeks ahead PROJECT MANAGEMENT & EXECUTION • Execute projects led by the Co-CEOs: build the project plan in Notion, track milestones and owners, and drive every task to completion, • Capture action items from executive meetings and make sure every one is tracked, assigned and closed, • Keep a live view of all active projects showing what's in progress, what's at risk and what's blocked, and flag issues to the Co-CEOs early, • Follow up with senior leaders and teams to keep deliverables on schedule, • Coordinate with the podcast production team and the Co-CEOs on the guest tracker, booking follow-ups, scheduling and production sign-offs, • Route materials through the approval workflows set by the Co-CEOs, so items reach the Founder ready for review, • Keep a master budget and vendor tracker for each project, including payment status and anything outstanding, • Keep a current library of approved assets (bio, headshots, boilerplate, brand guidelines) so teams and partners always get the latest version STRATEGIC PARTNERSHIPS DELIVERY • Project manage brand partnership deliverables once agreements are signed: timelines, assets, approvals and deadlines, • Organize partner kickoff calls and keep a deliverables plan with owners, dates and approval status, • Coordinate across internal teams and partner teams so deliverables ship on time and to spec, • Keep partnership work-streams visible in Notion and Slack so the Co-CEOs always know their status TOOLS & SYSTEMS SETUP • Set up new tools and AI apps selected by the Co-CEOs for the Founder and the executive team, including configuration, accounts, permissions and integrations, • Onboard the Founder and executives into new systems with short training, simple guides and follow-up support until the tools are in daily use, • Carry out tool migrations and consolidations (for example email platforms, inboxes and task systems) with minimal disruption, • Connect tools so work flows between them automatically, for example meeting notes to Notion tasks, and Slack requests to tracked to-dos, • Coordinate outside developers, consultants and IT partners working on systems, and keep their work on schedule, • Work with IT and security to confirm new tools meet access and data-security standards before rollout SLACK, NOTION & WORKSPACE MANAGEMENT • Organize projects in Slack using canvases, lists, pinned files and links, so every project has one clear home, • Set up automated updates, summaries and reminders in Slack and Notion so the Co-CEOs and executive team get visibility without extra meetings, • Build and maintain Notion databases, dashboards and templates for projects, to-dos and follow-ups, • Administer the Slack and WhatsApp workspaces and keep them clean: channel and group structure, naming conventions, permissions, archiving and consistent project setup, • Keep contact records and trackers accurate, deduplicated and consistently structured RESEARCH & TREND REPORTS • Manage a pipeline of research requests from the Co-CEOs: log each request, track progress in Notion and deliver on deadline, • Research and compile trend reports across wellness, beauty, fashion, consumer, culture and AI, following the briefs set by the Co-CEOs, • Run quick research on companies, categories and markets as requests come in, and deliver clear, well-sourced summaries, • Maintain a tagged, searchable research and trend library in Notion, • Use AI research tools and agents to scan sources, summarize findings and track emerging signals LOCATION, TRAVEL & HOURS • This is a remote role. You must be based in a North American time zone, • You'll travel 8–10 times a year, for meetings, events and time with the team, • You work on the Founder's schedule and are available during her working hours, including early mornings or late evenings when needed, • Core hours align with Pacific or Eastern Time. The Founder travels regularly across time zones, so occasional flexibility is needed for time-sensitive travel, events and deadlines Qualifications & Experience • Experience: 3–5 years of business experience, including at least 2 years in project management or executive operations supporting C-level leaders. Consumer goods or brand partnership experience strongly preferred., • Technical skills: Expert in Notion (calendars, databases, dashboards, templates, automations). Administrator-level experience with Slack (workspace setup, permissions, canvases, lists, workflows, channel management) and WhatsApp (business accounts, groups, access and security settings). Advanced user of Claude, ChatGPT and Gemini, and of Google Workspace (Gmail, Calendar, Drive, Docs, Sheets, Slides). Hands-on experience building workflows, AI agents and automations that connect these tools (e.g., Zapier, Notion automations, Slack workflows)., • Education: Bachelor's or Master's degree in Business required., • Skills: Exceptional written and verbal communication, with experience communicating directly with a founder or CEO. Exceptional organization, speed and follow-through, and experience working across time zones with global, cross-functional teams., • Based in North America and able to travel 8–10 times a year. FAQ • Compensation: $100,000 base, with flexibility up to $125,000 depending on experience, plus equity. This is a full-time, exempt role. This range is the low and high end of the anticipated base salary for this position. goop, in good faith, reasonably expects to pay within this range, and provides it in compliance with all applicable federal, state and local laws. Actual base salary will depend on factors including experience, training, knowledge and skills, and a change in the job's location., • Benefits: A generous health benefits package, fertility benefits and paid parental leave., • Perks: Generous goop discounts; special offers with brand partners; and access to custom lifestyle resources and events., • Work philosophy: At goop, we believe creativity, innovation and camaraderie are essential to our business, our culture, and our employees' growth and development. goop is an Equal Opportunity Employer. goop does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. All information provided by the applicant is collected, stored and processed in accordance with the terms of our CCPA Notice for Job Candidates. Job Disclosures: No applicant disclosures related to physical requirements or ADA-related considerations are relevant for this role.

Job Description️ The Role: Sales Development / GTM Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM specialist to build our outbound engine and help us scale to $1B+ ARR. What you’ll own: Identify high-potential leads and strategic prospects within our target market. Drive outbound activity through cold calling, emailing, and social media to hunt new business. Deploy personalized, high-impact outreach campaigns to maximize lead conversion. Sync closely with Account Executives to navigate prospect objections and leverage market trends. Continuously refine outreach strategies based on real-time feedback and market response. Track and report on critical metrics, including conversion rates, lead quality, and outreach velocity. Partner with sales leadership to analyze data and optimize the playbook for scale. About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. 20-30% MoM revenue growth. 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. Users report 50-90% efficiency gains. Recently announced our $40M Series B (Total funding: $55M) from elite investors including Y Combinator, 20VC, and Visionaries. You’ll be joining a founding team with deep pedigree: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Who You Are We are a high-performance culture. To thrive here: You prioritize speed, are always itching to move faster, and want to book meetings in hours, not weeks. You have a relentless work ethic and take extreme ownership of your KPIs. You’re willing to go the extra mile to achieve the mission. You thrive in a positive, high-stakes environment and are eager to learn whatever it takes to win. You understand we are at the start of an exponential curve and want to drive mass adoption of state-of-the-art tools. ️ What You Bring Must-Haves: Experience in B2B sales with a history of smashing KPIs and securing high-value meetings. Exceptionally clear written and verbal skills to engage sophisticated legal and technical prospects. A love for the data and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: Experience selling complex SaaS products to mid-market or enterprise firms. Frequent user of AI products with an understanding of the current LLM landscape. Side projects, "hustles," or early-stage startup experience that shows you can build from zero. What’s In It For You? Competitive base + unlimited commission upside. Meaningful ownership in a rocket ship. Full visa sponsorship and private medical insurance. Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. Compensation Range: $90K - $130K

Job DescriptionWhy AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we're looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! About the role: We're hiring a Software Engineer to help turn cutting-edge AI research into products our customers rely on every day. You'll sit on a fast-paced engineering team between our research org and our Applied teams, taking new model capabilities from proof of concept to robust, well-documented APIs serving production traffic at scale. What You'll Do: • Design and ship customer-facing APIs that expose new model capabilities, owning them from prototype through launch and ongoing iteration., • Scale inference infrastructure to support our 1M+ api users, • Partner with researchers to productionize new techniques. For example, turning a notebook or POC into something with the latency, reliability, and ergonomics customers expect., • Work with our customers and Applied teams to understand how users are building with our products, and feed that back into product design and research direction., • Contribute across the stack as needed: backend services, inference infrastructure, SDKs, internal tooling.What You'll Need:, • Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production., • Comfort operating with ambiguity. Research timelines and product timelines don't always line up, and you're energized rather than frustrated by that., • Genuine curiosity about AI/ML. You don't need to be a researcher, but you should want to understand what the models are doing well enough to make good engineering decisions around them., • Strong collaboration skills. You'll be working daily with researchers, applied engineers, and sometimes customers, people with very different contexts and priorities, and the role only works if you enjoy that. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $190,000 - $225,000 AI to Interview: If you're selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying. Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway Try the Playground Our $50M Series C fundraise Check us out on YouTube!

Job Description Contract Equity Derivatives Developer MUST be local to New York City, Hybrid Schedule Front Office Technology | Senior Individual Contributor | New York We are looking for a highly motivated, hands-on Senior Equity Derivatives Developer with strong software engineering, quantitative integration, and Front Office technology experience. The successful candidate will design, develop, integrate, and support applications used by Equity Derivatives trading and quantitative teams, with particular emphasis on volatility fitting and surface construction, quantitative pricing and calibration workflows, Murex API integration, Bloomberg BPIPE market-data integration, Front Office pricing and trade workflows, and Level 3 production support. The candidate should combine strong Java and Python development capabilities with a practical understanding of Equity Derivatives products, pricing concepts, volatility analytics, and enterprise integration. The role works closely with traders, quantitative analysts, business analysts, Murex specialists, market-data teams, and production-support teams to deliver reliable, scalable, controlled, and supportable solutions. Core Technical Requirements Strong hands-on software development experience using Java and Python. Strong Java development experience for enterprise services, APIs, workflow orchestration, messaging, and platform integration. [Nice to have] Strong Python development experience for quantitative analytics, numerical methods, optimization, calibration, pricing, or market-data processing. Experience designing, developing, and supporting REST APIs and other service-based integrations. Strong understanding of distributed systems, event-driven architectures, messaging platforms, and enterprise integration patterns. Experience developing resilient, high-throughput, and low-latency services used by Front Office applications. Strong understanding of API design, data contracts, versioning, error handling, performance optimization, resilience, and security best practices. Experience integrating internal applications with third-party trading, pricing, risk, and market-data platforms. Strong knowledge of unit, integration, contract, regression, performance, and automated testing. Experience with relational databases, SQL, data persistence, caching, messaging, and distributed processing technologies. Experience with source control, code review, CI/CD, database change management, observability, auditability, release management, and production change controls. Comfortable participating in all phases of the software development lifecycle, including requirements analysis, solution design, development, testing, deployment, and Level 3 production support. Strong diagnostic skills for production issues involving pricing calculations, volatility calibration, market data, system integration, application performance, and trade workflow behavior. Equity Derivatives Domain Requirements Strong hands-on technology experience within the Equity Derivatives business domain. Proven experience developing or supporting applications used for Equity Derivatives pricing, trading, risk, market data, or lifecycle processing. Good understanding of listed and OTC equity options, index options, equity and index swaps, variance or volatility-linked products, and structured or exotic Equity Derivatives. Good understanding of option-pricing concepts, market conventions, implied volatility, Greeks, volatility skew, volatility smile, and term structure. Experience working with volatility data and volatility surfaces Experience working with quantitative analysts or quantitative developers to productionize, integrate, test, and support pricing or calibration models. Understanding the inputs, outputs, constraints, and failure modes of calibration processes. Practical knowledge of interpolation, extrapolation, optimization, calibration, smoothing, parameter fitting, and arbitrage-aware surface construction. Developing deterministic and reproducible numerical workflows and regression tests using controlled market-data snapshots and agreed reference results. Maintaining clear separation between quantitative model logic and transport, workflow, persistence, orchestration, and user-interface components. NOTE: The candidate is not expected to be a quantitative researcher. However, the candidate must be able to understand, implement, Candidates should have hands-on experience integrating with and supporting Murex services and APIs, preferably including: Murex Indicative Pricing API and Murex Trading API. Pricing request and response workflows and retrieval of pricing results, model outputs, risk measures, and associated metadata. Candidates should be comfortable using approved AI-assisted development tools for code generation and prototyping, code explanation, refactoring, modernization, test generation, documentation, debugging, static analysis, code-review assistance, and exploration of unfamiliar APIs or codebases. Work closely with Equity Derivatives traders, quantitative analysts and developers, Product Owner, Development Manager, Business Analysts, Murex platform and integration teams, QA, release, production support Nice To Have: Ability to analyze differences among market prices, implied volatility, model outputs, vendor analytics, and trader marks. Understanding of Equity Derivatives market data, valuations, sensitivities, P&L, risk, and trade lifecycle processing. Understanding of the relationship among spot and forward prices, interest-rate curves, dividend curves, borrow assumptions, corporate actions, volatility inputs, and pricing-model outputs. Understanding of model versions, calibration parameters, market-data timestamps, numerical precision, and result reproducibility. Investigating numerical instability, non-convergence, discontinuities, unexpected sensitivity behavior, unstable parameters, and differences between vendor and internal calculations. Experience with Numerix or Voladynamics for pricing, volatility analytics, calibration, or model validation. Qualifications The candidate should have at least 8 years of experience Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, Financial Engineering, or a related discipline, or equivalent professional experience. Significant professional software development experience in financial services. Strong hands-on development experience with Java and Python. Professional technology experience within Equity Derivatives. Experience with volatility fitting, interpolation, extrapolation, optimization, or model calibration. Experience developing or integrating market-data services. Hands-on experience integrating with Bloomberg BPIPE or a comparable enterprise market data platform. Experience integrating with Murex APIs or comparable pricing and trading platforms. Experience designing and supporting enterprise APIs and event-driven integrations. Experience supporting production applications and providing Level 3 troubleshooting. Strong analytical, problem-solving, communication, and ownership skills. Ability to work effectively with traders, quantitative analysts, developers, and production-support teams.

Experience translating complex data into clear, actionable insights for product decision making. Familiarity with tools such as User Testing. UX Researcher (B30) — Enterprise Design Research (EDR).

San Francisco, CA | New York City, NY Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next. Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility. Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment. Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage. Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time. Sit in on crowd worker and vendor sessions to systematically understand pain points. Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores. Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well. Are drawn to ambiguous, high-stakes environments where you'll play a big role in defining the product strategy. Shipped products where they had to deeply understand technical constraints, not just translate requirements. Experience working directly with research teams, ideally in AI/ML contexts. Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology. Are a quick studythis team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective. Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data. Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines. Experience working with researchers who are internal users/customers. Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows. Strong project management skills: prioritization, communicating across team/org boundaries. The ideal candidate has the following virtues/values: • Have 5+ years in product management, with experience launching new products and scaling existing products., • Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn, • Autonomous learning: Able to independently figure out how systems work and develop expertise quickly, • Researcher EQ: Deep understanding of how researchers think and what motivates them, • Product creativity: Ability to see novel product opportunities emerging from research capabilities, • Founder mentality: Track record of doing whatever it takes to ship highly technical products Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren'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. 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're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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're ever unsure about a communication, don't click any linksvisit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable, trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. 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 & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City (Hybrid) Salary Range: $140,000$160,000/year Employment Type: Full-time For two decades, RealSelf has been the most trusted authority in the aesthetics space. Now we're a dynamic digital ecosystem that puts consumers at the center of their aesthetic journey. As the only destination combining verified patient experiences, guidance from board-certified experts, and cutting-edge technology, RealSelf empowers millions to make confident decisions about their aesthetic goals. What You'll Own You'll have end-to-end ownership of RealSelf's provider growth product area, including: Provider tools and monetization surfaces profiles, leads, and reputation. How consumers discover and connect with the right provider for them. Advertising and booking product decisions where they intersect with provider growth. You won't do this alone but you'll be accountable for provider growth strategy, prioritization, and outcomes within your area. Key Responsibilities Define and drive the roadmap for provider growth, in partnership with the VP of Product, Head of Sales, Data Analytics Lead, and Head of Engineering. Translate strategy into clear product requirements, specs, and execution plans. Own roadmap prioritization across provider and provider-facing consumer initiatives. Partner with our UX agency to ensure designs meet real user needs and business goals. Use data, experimentation, and research to inform decisions and influence stakeholders. Collaborate closely with engineering to ship continuously A/B tests, features, and platform improvements. Shape how AI, search, personalization, and recommendations show up in provider discovery and matching. Bring product discipline to your area without slowing momentum. Partner with Sales on go-to-market for new provider-facing capabilities. Success Metrics You won't own growth alone, but you'll build the product foundation that enables it. You'll be most accountable for driving: Provider revenue driven by leads and bookings. Conversion from consumer discovery to qualified provider leads. Provider tool adoption and satisfaction. If You're Wildly Successful After 12 Months Providers see RealSelf as a meaningful, growing revenue channel. Provider tools feel intuitive and drive measurable lead and booking growth. Consumers reliably find and connect with the right provider for their needs. Your roadmap is clear, focused, and grounded in data. Team & Environment 16 engineers (frontend, backend, full-stack), DevOps, and data engineers. Dedicated data analysts and external data governance support. UX design via a capable agency. Reports to the VP of Product; partners closely with Sales, UX, Analytics and Engineering leadership. No TPM, no dedicated researcher, this role is scrappy and may need to wear multiple hats. High autonomy, fast iteration, curious, strong opinions backed by data. Requirements 4+ years of product management experience on complex products. Experience with two-sided marketplaces. Comfort operating across consumer and B2B (provider-facing) use cases. Experience building or evolving trust-heavy products. Strong instincts around search, recommendations, personalization, or AI-powered experiences. Comfort operating as a lead or solo PM in ambiguous environments. Excellent written and verbal communication especially when pushing back with data. Track record of shipping and learning fast, with a strong experimentation mindset. Bonus qualities: background in healthcare or regulated environments. • RealSelf exists to help people make confident, informed decisions about procedures that can change how they see themselves, and how the world sees them., • Our reviews are raw and honest. Our Q&A connects people directly with verified experts. We care deeply about trust, safety, and transparency in an industry where those things matter., • On the heels of a major rebrand, RealSelf is entering a new era of rebuilding and reinvention. This role is an opportunity to help shape the future of a culturally relevant, deeply useful product and leave a lasting mark on a platform that genuinely matters., • You'll work alongside our inspiring world-class team to create content and build products that connect and empower millions of people around the world, wherever they may be on their aesthetics journey., • Health benefits: We offer comprehensive benefits for medical, dental and vision 100% paid for by RealSelf at the employee level., • Work-life balance: Enjoy paid time off, including no work on your birthday and Summer Fridays, as well as generous leave options for life events such as becoming a parent., • 401(k) matching: Plan for the future and take advantage of our 401(k) plan with a company match., • Treatment reimbursement: At RealSelf, we encourage our team to walk in our audience's shoes. That's why we offer a cosmetic treatment reimbursement program to employees who would like to take on a more active role as the consumer., • Company holidays: We believe in celebrating holidays! Enjoy time off during our 12 company-wide holidays + no work on your birthday!, • Hybrid NYC office: We recognize that there's no one size fits all with office culture. That's why we believe in a flexible hybrid schedule for our New York City employees, who can enjoy the benefits of in-person collaboration in our office as well as deep work time while remote at home. *Compensation will be evaluated based on experience. RealSelf is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. • Beautymatter: RealSelf's New "Omnichannel Content Flywheel" Is Quickly Paying Off, • Forbes: Inside RealSelf's Rebrand, • Adweek: Cosmetic Surgery Platform RealSelf Appoints New CEO to Spur Editorial Expansion, • Tech Crunch: RealSelf, a community for cosmetic treatments, raises $40 million

Are you a strategic researcher who thrives at the intersection of human insight and business impact? At JPMorganChase, we're building the future of global payments and the insights you uncover will directly shape the products and experiences used by some of the world's most sophisticated organizations. Join a team where your work doesn't just inform decisions it drives them. As an Experience Research Vice President in the Commercial & Investment Bank Payments Experience Design team, you will play a key role in shaping the strategy, design, and functionality of payments products and services used by some of the world's largest and most complex organizations. You will leverage qualitative, quantitative, and mixed-methods research to identify customer needs, generate actionable insights, and influence product strategy and design decisions. You will also help build and evolve strategic research programs, including measurement and tracking initiatives (CSAT, NPS, etc.) identifying and applying AI-enabled approaches that improve research execution, streamline processes, and connect client understanding to business priorities, product outcomes, and measurable impact. In this role, you will collaborate closely with Design, Product Management, Engineering, and Research partners across our global Payments Experience Design team to ensure client insights inform priorities, shape solutions, and support the delivery of intuitive, effective, and scalable experiences. Job Responsibilities • Design and execute qualitative, quantitative, and mixed-methods research studies that address complex client, product, and business questions, • Analyze and synthesize research findings to identify client needs, behavioral patterns, pain points, and opportunities that inform product strategy and experience design, • Translate insights into clear, actionable recommendations that influence product priorities, design decisions, and roadmap planning, • Experience building and managing quantitative measurement initiatives (e.g. NPS, CSAT, brand, attitudes & usage studies, etc.), • Contribute to the development and scaling of strategic research programs that generate ongoing client insight, measure outcomes, and support business objectives, • Identify, build, and leverage AI-enabled tools, workflows, and processes that enhance research execution, improve efficiency, and support high-quality insight generation, • Partner with cross-functional teams to embed research throughout the product development lifecycle and promote evidence-based decision-making, • Advocate for client needs and behaviors across complex B2B and payments experiences, balancing user goals with business and technology considerations, • Communicate insights and recommendations through compelling presentations, workshops, reports, and readouts tailored to a range of stakeholders, • Stay current on industry trends, research methodologies, and emerging best practices to continuously strengthen research strategy and execution Required Qualifications, Capabilities, and Skills • Formal training or certification on experience research concepts and 5+ years applied experience, • 5+ years of experience or equivalent expertise in customer research, with a strong focus on marketing research and exposure to digital and user experience, • Demonstrated strength in qualitative and quantitative research methods, including survey design, interviews, usability testing, ethnography, statistical analysis, and synthesis of complex data, • Experience building, contributing to, or scaling strategic research programs that inform product priorities, generate ongoing customer insight, and measure impact over time, • Ability to identify and apply AI-enabled capabilities to strengthen research operations, improve process efficiency, and enhance the quality and scalability of research execution, • Proven ability to collaborate with cross-functional partners to influence decisions and drive alignment, • Ability to plan and execute rigorous research, adapt to evolving business needs, and maintain high standards for quality and methodological integrity, • Excellent written, verbal, and visual communication skills, with the ability to present insights clearly and persuasively to stakeholders at all levels, • Excellent project management skills, • Proficiency with Excel, PowerPoint, Qualtrics, and related research tools (e.g. User Testing, Optimal Workshop, LLMs, etc.) Preferred Qualifications, Capabilities, and Skills • Experience conducting research in payments, financial services, B2B, or enterprise software environments, • Curiosity, creativity, and a collaborative mindset, with interest in exploring new research approaches and future-focused solutions, • Eager to gain skills in AI and related tooling and capabilities, • Ability to build strong working relationships across disciplines, regions, and levels of seniority, • Experience in B2B payments a plus

Experience Research Vice President. As an Experience Research Vice President in Corporate Responsibility and Morgan Health Team, you will play a pivotal role in shaping the user experience across our products and services.

Reporting to the Assistant Director of Compliance, the chief responsibility for the Compliance Specialist is to assist in achieving quality compliance with the requirements of the WSFSSH's external funders and regulators, thereby safeguarding WSFSSH's assets and income streams, and meeting WSFSSH's high standards for excellence in this sphere. In carrying out these duties the Compliance Specialist interacts extensively with both external stakeholders (lenders, syndicators, equity investors, government entities, etc.) and internal staff to ensure that WSFSSH meets its compliance and reporting requirements. Key Responsibilities • Assist with the completion of regular compliance reports, monitoring deadlines and requirements to deliver such reports in a timely, thorough, quality manner, • Act as assistant researcher regarding compliance and regulatory program standards and requirements; programs include HUD Section 8 / Affordable Housing, LIHTC, HOME, Mitchell-Lama, HHAP, Fair Housing, Affirmative Fair Housing Marketing, HPD Regulatory, among others, • Assume a supporting role in deciphering and communicating relevant updates, facts, and requirements of related programs; help identify and implement training; keep abreast of material industry / program changes that impact upon WSFSSH's projects / assets, • Act as user of HUD Secure Systems (REAC, EIV, APPS), • Oversee and ensure quality control of the department's Master Files (electronic and hard copy) related to asset management / compliance records, • Draft correspondence concerning all related asset management compliance, certification, subsidy, and other pertinent matters, • Serve as the Leasing and Compliance team's primary source, communicator, and reference point for current and historical income limits, maximum rents and other key compliance parameters for relevant programs, • Review, approve, and resolve issues regarding certified rent rolls, TICs / recertification packages, site-based vacancy / occupancy reports, audit reports / audit responses, and other reports and data, • Be a proficient user and troubleshooter within RealPage's Affordable system; work directly with the CFO to roll out / implement new modules as requested, • Complete ad hoc special projects, research, analysis as assigned by, and in collaboration with, the Director of Leasing and Compliance, • Support and train building staff in their role(s) as contributors to the safekeeping and preservation of WSFSSH assets Required Skills/Experience • Working knowledge of REAC, EIC, APPS, • Demonstrated experience in project management, affordable housing programs, income certification and/or subsidy/regulatory compliance, property management and/or other areas related to WSFSSH's Asset Management function, • Excellent written and spoken communications skills, • Strong office/organizational skills, • Ability to problem-solve independently, • Proficiency in Word, Excel, Outlook, Teams, and Internet search/usage, • Experience with RealPage's OneSite, • The ability to liaise effectively with supervisor, asset management staff, and other WSFSSH employees throughout the organization to achieve the Asset Management Team's goal, • Be emotionally, mentally, and physically able to perform job responsibilities, • Maintain a strong and reliable work ethic and work schedule, • Must be willing and able to be flexible and adaptable, to multi-task, to effectively handle competing priorities, and to hold and exercise effective and appropriately professional boundaries Education • Bachelor of Arts/Bachelor of Science Degree preferred, • LIHTC Certification, or relevant work experience WSFSSH is an Equal Employment Opportunity Employer (EEO); employment is based upon employees' qualifications without discrimination on the basis of race, creed, color, national origin, religion, sex, age, disability, marital status, sexual orientation, military status, citizenship status, genetic predisposition or carrier status, or any other protected characteristic as established by law.

Job DescriptionDescriptionOverview The Strategy & Public Impact team is The New York Public Library’s central node of information and insights about its users, usage, and impact. We support decision makers and program staff across the institution through business intelligence, impact assessment, strategic conversations, user research, and data mentorship. The Patron Impact & Satisfaction Researcher will play an important role in helping the Library meet its full potential as a vital, relevant, and accessible public institution that is equitably used across our service area. Our patrons’ satisfaction with the quality and outcomes of their library experience not only influences their future library use - it can also shape their views of, and support for, civic institutions and public life more broadly. The Patron Impact & Satisfaction Researcher’s mandate is the development, analysis, and dissemination of survey-derived metrics tracking our patron (and broader community) experience, satisfaction, and impact, at the level of the Library overall, as well as its specific programs and services. This is a great opportunity for someone interested in applying their research and analytical skills to identifying the drivers underlying library “magic” and recommending ways to broaden and deepen it, thereby enhancing our benefit to the communities we serve. Key responsibilities • Metric development: Translate outcome and impact goals from internal logic models into a core set of experience, satisfaction, and impact measures for specific offerings, and for the Library overall, • Survey development and testing: Operationalize these metrics into survey questions to be administered to patrons and community members, • Data infrastructure: Build the process by which these metrics are regularly gathered, at scale, in living data streams across the Library’s physical and digital touchpoints, • Data monitoring: Develop approaches to continuously track patterns in metrics, • Data analysis: Determine the core drivers underlying experience, satisfaction, and impact across time, location, audience, and at key points in service life cycle, • Synthesis with other research: Build bridges between these metrics and the Strategy & Public Impact team’s other data streams, marrying trends and insights from survey responses to patterns of usage (e.g. attendance, borrowing), • Opportunity identification: Make programmatic and policy recommendations to better fulfill unmet patron and community needs, • Cross-team communication and partnership: Share trends, insights, and recommendations with program and operational partners across the Library, collaborating on actionable improvements to experience, satisfaction, and impact In 1 month, the Patron Impact & Satisfaction Researcher will: • Get acquainted with Strategy and Public Impact patron research approaches and our qualitative and quantitative data streams, • Learn the organizational structure of the Library, meet our key internal stakeholders, and absorb what we have already learned about our patrons and the communities they come from, • Get acquainted with the Library’s mission and current goals of the major divisions of the institution In 3 months, they will: • Become proficient in our ongoing patron research, existing metrics and key reports, and identify areas of patron experience and library impact for core metric development, • Join the team in creating and fielding patron and staff surveys, and drafting reports based on our findings In 6 months, they will: • Take primary responsibility for survey-based research: from understanding the research questions, through translating them into survey questions and methodologies, and fielding patron and staff surveys, to analyzing and synthesizing the results, • Suggest ways of enriching and deepening the findings from qualitative research and surveys with other data streams (e.g., circulation or visits), • Independently prepare reports communicating our findings to various internal and external audiences, • Join the team in raising and articulating questions driving our future research agenda Required Education, Experience & SkillsRequired Education & Certifications • Bachelor’s degree required, a graduate degree in social science or other relevant discipline recommended, • 2 years of hands-on professional experience - or an equivalent combination of education and work experience - in an applied research role involving survey and metrics development and analysis, • Preferred experience with survey-based research in a non-profit, educational or cultural institution setting Required Skills • Strong command of survey methods and evaluation methodologies, including potential research questions and techniques and research tools/software, • Familiarity with core statistical techniques such as significance testing, correlation, regression, distributions, factor and cluster analysis, and basic predictive modeling, • Basic proficiency in R (preferred), Python, or other statistical programming language, • Advanced proficiency in Microsoft Office and Google apps suites, especially Excel and Google sheets, • Ability to systematize output from, and detect patterns within, qualitative data sets, • Ability to independently produce high-standard, presentation-ready deliverables, • Ability to clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writing to employees at all levels of the organization, • Ability to to establish trusting relationships within a diverse organization, across multiple levels of management and staff, • Demonstrated learning mindset, with a continual appetite for developing skills, asking new questions, and absorbing information, • Preferred: ability to communicate effectively in Spanish or Chinese Managerial/Supervisory Responsibilities More...Please Note: Effective August 2, 2021, absent a qualifying exception for medical or religious reasons, newly hired employees of the New York Public Library must present proof of receipt of a COVID-19 vaccination and may not begin employment at the Library until 14 days after their receipt of their second dose of either the Pfizer or Moderna vaccines or 14 days after their first dose of the Johnson & Johnson vaccine. Newly hired employees who need additional time to receive their vaccination prior to their start date may request an adjournment of their start date with their hiring manager. The Library will consider such requests on a case by case basis, depending upon the Library’s operational needs, among other factors. The Library will further consider exemptions for prospective employees who cannot become vaccinated due to a qualifying medical condition or a sincerely held religious belief or practice. Candidates who receive a conditional offer of employment and who seek a medical or religious exemption to the Library’s vaccination policy will be provided with additional instructions at the time of the conditional offer. Core Values All team members are expected and encouraged to embody the NYPL Core Values: • Be Helpful to patrons and colleagues, • Be Resourceful in solving problems, • Be Curious in all aspects of your work, • Be Welcoming and InclusiveWork Environment, • Office setting (with some flexibility to telecommute 2-3 days a week, work duties and general Library policy allowing) Managerial/Supervisory Responsibilities N/A Physical Duties • May require travel within NYC (related to fielding surveys, visiting NYPL branches and the communities we serve)Pre-Placement Physical Required? No Union/Non Union Non-Union FLSA Status Exempt Schedule • 35 hrs/week

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Hinge is hiring a Senior UX Researcher to join the Dating Outcomes research team, supporting our mission of helping people find meaningful romantic connections. In this role, you will lead quant and qual research methods to understand what helps daters move conversations forward with confidence after they match, and what helps that connection carry beyond the app itself and into a real date. Responsibilities Shape research roadmap: Shape the research roadmap for the Interaction product team so that research informs product decision making and drives product strategy. Develop and execute end-to-end research: Conduct end-to-end research using appropriate methods that range from strategic to iterative and evaluative to help the team achieve goals. Deliver high-impact insights at velocity: Generate clear, actionable insights that drive decisions and build momentum towards our mission. Be a proactive cross-functional partner: Independently partner with other researchers, product, design, and data science to identify research needs and key opportunities. Champion team culture: Model honest, empathetic feedback and contribute to a culture grounded in curiosity, rigor, deep user empathy – and fun. What We're Looking For 4+ years of UX research experience in a consumer-facing product research role – messaging or social media domain experience is a plus! Proven ability to lead end-to-end research that influences product development and impacts key product metrics. Mixed methods research with a strong qualitative research toolkit and quantitative research experience. Strong communicator, committed to telling clear and compelling insights-backed stories that bias to action. Dedicated to building successful partnerships with stakeholders and cross-functional partners. Eager to learn from, collaborate with, and mentor other researchers. Passion for innovation and exploring how emerging technologies, including generative AI, can elevate the craft and impact of research. Champions team culture in authentic, courageous, and empathic ways. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. #LI-CH1 As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description Hi, we're Oscar. We're hiring a User Experience Researcher to join our Insights and Analytics team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Oscar is building a centralized Insights and Analytics function within our Technology organization to shape how the company learns, decides, and builds. This role will specifically support Oswell and Oscar's consumer-facing AI experiences, helping teams understand where AI can meaningfully improve member trust, comprehension, and navigation. This team brings together User Experience Research, Data Science, Analytics, and Market Research to connect what people experience, what our systems reveal, and what the business needs to understand. As part of this team, Oscar's User Experience Researchers help the company make product, service, and business decisions grounded in the lived experiences, behaviors, needs, and friction points of the people we serve and support. Our work spans consumers, members, brokers, providers, and internal users across Oscar's Tech Pillars and family of companies. In this role you will independently lead research studies in complex product and service areas, using qualitative, quantitative, and mixed methods to clarify ambiguous problems, de-risk product decisions, and shape strategy. You will partner closely with Product, Design, Engineering, Data Science, Analytics, Strategy, Operations, Clinical, and Insurance Product teams to turn human insight into clearer priorities, better workflows, and more confident decision-making. This role is a strong fit for a researcher who is comfortable working in early-stage or ambiguous spaces, can identify the behavioral dynamics underneath a business or product question, and can determine what evidence will meaningfully move a team forward. You will be expected to develop a clear point of view from research, connect insights to business needs, and help mature how research is planned, conducted, documented, shared, and reused at Oscar, including thoughtful use of AI-enabled tools to make insights faster to find, easier to reuse, and more Pay Transparency: The base pay for this role is: $163,944.00 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Responsibilities: • Lead end-to-end research studies, including scoping, study design, recruiting strategy, moderation, analysis, synthesis, and shareout., • Translate ambiguous questions into research plans that clarify methods, audiences, risks, and decision points., • Conduct research across Oscar's multi-sided healthcare ecosystem, including consumers, members, brokers, providers, and internal users., • Apply qualitative, quantitative, and mixed methods to generate evidence that is rigorous, actionable, and fit for the decision at hand., • Partner with Product, Design, Engineering, Data, Operations, Clinical, Strategy, and Insurance Product teams to shape problem definition, roadmap planning, prioritization, product strategy, and launch readiness., • Distill research into strategic recommendations that help teams decide what to build, improve, prioritize, or stop doing., • Strengthen Oscar's research operations, including intake, planning, recruiting, consent, compliance, repositories, templates, and vendor workflows., • Use AI-enabled tools thoughtfully to accelerate research planning, analysis, synthesis, and knowledge reuse while upholding rigor, privacy, compliance, and human judgment., • Advance ethical and inclusive research practices in a regulated healthcare environment, including privacy, security, accessibility, language, incentives, and hard-to-reach population considerations., • Help mature Oscar's research practice by introducing useful methods, tools, documentation patterns, and industry learnings., • Mentor junior researchers and research-adjacent partners where appropriate., • Compliance with all applicable laws and regulations, • Other duties as assigned Qualifications: • 4+ years of hands-on user research, product research, design research, or applied research., • Experience independently leading research studies with moderate to high complexity and cross-functional stakeholders., • Demonstrated skill collecting, analyzing, and synthesizing human behavioral data to inform product, service, or business decisions., • Experience using qualitative and quantitative methods, with strong judgment about which method fits the decision at hand., • Experience turning ambiguous questions into clear research plans, actionable insights, and strategic recommendations., • Experience communicating research findings through compelling artifacts, frameworks, presentations, or workshops., • Experience working with Product, Design, Engineering, Data, Operations, Strategy, or other cross-functional partners., • Comfort working within ethical, privacy, compliance, or operational constraints. Bonus Points • Experience conducting research in healthcare, health insurance, benefits, financial services, or another regulated industry., • Experience conducting research on consumer-facing AI experiences., • Experience researching multi-sided ecosystems, such as members/consumers, brokers, providers, internal operators, or B2B2C products., • Masters or Ph.D. in Human-Computer Interaction, Cognitive Psychology, Information Science, Anthropology, Sociology, STS, or related technical field, or 2+ years of equivalent work experience., • Spanish language proficiency. Experience conducting discovery research and testing features with English and Spanish speaking participants, as well as analyzing consumer insights from diverse linguistic backgrounds. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description We are seeking a Senior UX Researcher to support product and experience research across a portfolio of large scale consumer products. This role is ideal for an experienced researcher with a strong quantitative foundation who can lead complex survey research, apply mixed methods when appropriate, and translate research findings into clear recommendations for product teams and senior leadership. The researcher will work within a collaborative research organization, partnering closely with Product, Design, Content, Data Science, and other cross functional stakeholders to identify user needs, evaluate concepts and experiences, and influence product direction. What You'll Do • Plan and execute end to end UX research using quantitative, qualitative, and mixed methods, • Design, field, and analyze large scale and complex consumer surveys, • Develop research plans, survey instruments, discussion guides, and study materials, • Conduct interviews, usability testing, diary studies, concept testing, and other research as appropriate, • Analyze and synthesize findings into actionable insights, frameworks, and recommendations, • Present research findings through clear, concise reports, readouts, and workshops, • Partner closely with Product, Design, Content, Data Science, and other stakeholders, • Influence product direction through research and strong stakeholder relationships, • Support rapid research cycles that inform iterative product development, • Utilize AI tools throughout the research workflow, • Navigate ambiguous research questions, data quality challenges, and evolving business priorities Required Qualifications • 5+ years of UX research or human centered research experience, with senior level experience strongly preferred, • Strong quantitative research expertise, particularly designing, fielding, and analyzing large or complex surveys, • Strong understanding of core UX research methods and the ability to select the appropriate methodology for the research question, • Demonstrated ability to translate research findings into actionable product and design recommendations, • Strong stakeholder management and influence skills, • Experience presenting research and recommendations to leadership, • Prior Meta experience, • Bachelor's degree in Human Computer Interaction, Psychology, Sociology, Anthropology, or a related field, or equivalent practical experience Preferred Qualifications • Mixed methods research experience with strong qualitative depth, • Experience building or managing research trackers, • Vendor or research supplier management experience, • Experience providing performance feedback to external research partners, • Familiarity with AI powered research tools and AI enabled products, • Consumer product or messaging research experience, including WhatsApp, • Comfortable working with ambiguity and evolving priorities, • Curious, collaborative, and receptive to feedback This role requires more than strong qualitative research skills. The ideal candidate has substantial quantitative and survey research depth and is comfortable owning large scale studies from design through analysis and recommendations. Researchers whose experience is primarily qualitative without meaningful survey or quantitative depth are unlikely to be a fi Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Location: Onsite - Menlo Park, Seattle, NYC Role type: Contract - 9 Month Position Expected hours: 40 per week Benefits: • Dental insurance, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Retirement plan, • Vision insurance Schedule: • 8 hour shift, • Monday to Friday Application Question(s): • Do you or will you in the future require any sponsorship to work in the US? Language: • English (Required)