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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 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.

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. Culturally, results are the common language here — clear goals, clear numbers, a visible line from contribution to outcome. AI is native to the way the team works, in every function, which raises the bar on what a small group can accomplish. Authority sits with the work: your scope is defined, and inside it you have real decision rights that we expect you to use. Founder mode is not a phase we are in; it is how the company is built. 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 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 DescriptionAbout us Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients. Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions. Forus has exceptional product-market fit and is growing rapidly through organic adoption: Accelerating scale: We already support patients across more than 85% of ZIP codes and partner with 9 of top 15 largest biopharma companies in the world. AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable. Backing to build for the long term: We raised $300M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity. Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster. If we succeed, science will be the only limit to medicine. All full-time roles are in person in New York. About the role We are building a specialized search function focused on the hires that matter most and are hardest to make. This includes executive roles, as well as positions that are uniquely important, unusually difficult to fill, or critical to the company’s trajectory. One search may be for a senior engineering leader; the next could be for a world-class brand designer, researcher, or another exceptional individual contributor. You will operate like an embedded retained search partner, working directly with the CEO and senior leaders to build our organization. Sometimes you will own searches end-to-end, other times you will lead our work with external search firms, setting search strategy, calibrating candidates, and ensuring exceptional outcomes. You will also build long-term knowledge of key talent markets, develop relationships with exceptional people long before we have an opening, and help shape the leadership and capabilities we’ll need as the company scales. This is a demanding role, with a high level of autonomy and responsibility. You will be expected to “act like an owner” and commit yourself to Forus’s success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you. If you join, you will: Own the company's most important and difficult hiring mandates, from senior leaders to exceptional ICs and first-of-their-kind roles Partner directly with founders and hiring managers to define what exceptional looks like and shape hiring strategy Build market maps, identify overlooked talent pools, and develop differentiated search strategies for every role Personally recruit, assess, and close exceptional candidates through thoughtful outreach, relationship building, and rigorous evaluation Lead and manage external search firms when needed, ensuring they operate with the standards, urgency, and judgment we expect Build long-term relationships with exceptional leaders and operators who may become future hires, beyond hunting for existing requisitions Develop talent intelligence on key markets, emerging leaders, and future hiring needs to help shape the company's long-term growth We’re looking for you if you have: 3-6 years of experience at a top executive search firm, at a level where you were directly sourcing and managing candidates Exceptional judgment for talent and a track record of identifying people who outperform what their resumes suggest Outstanding written and verbal communication that allows you to develop external relationships with candidates and partners, regardless of seniority Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals A desire to help build a search-style recruiting team from scratch High NPS with your former teammates This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply. Working with us Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles: Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up. Stay open to changing your mind. Resourceful optimism. Assume problems are solvable. Be audacious. Resist false constraints and push beyond the obvious before deciding. Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones. All killer, no filler. Raise the bar. Hold a high standard for your pace and execution, and elevate the performance of the team around you. Mamba mentality. Fight for users. Start with users’ realities, not ours. Resist optimizing for internal convenience over user outcomes. We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay. We also provide rich benefits to ensure you can focus on creating impact (for full-time employees): Fully covered medical, vision, and dental insurance. Memberships for One Medical, Talkspace, Teladoc, and Kindbody. Unlimited paid time off (PTO) and 16 weeks of parental leave. 401K plan setup, FSA option, commuter benefits, and DashPass. Lunch at the office every day and Dinner at the office after 6:30 pm. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. Compensation Range: $150K - $250K

Job Description Hi, we're Oscar. We're hiring a Senior Market Researcher, Insurance Product & Marketing to join our Insights & Analytics team. Oscar is the first health insurance company built around a full stack technology platform and a relentless 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, bringing together User Research, Data Science, Analytics, and Market Research to strengthen how the company learns, makes decisions, and builds. As a Senior Market Researcher on this team, you will independently lead research that deepens our understanding of consumers, market dynamics, and the competitive landscape. Your work will uncover the needs, attitudes, preferences, and decision drivers that shape how people evaluate, choose, and stay with health insurance—helping Oscar make informed decisions about growth, positioning, and insurance products. You will partner closely with Marketing, Strategy, Insurance Product, Product, User Research, Data Science, and Analytics to translate business questions into focused research and actionable recommendations. This role is well suited to a hands-on researcher who combines strong quantitative skills with qualitative curiosity, manages projects from scoping through delivery, and connects findings to clear business implications. You will also contribute to how market research is documented, shared, and reused across Oscar. You will report into the Vice President, Insights & Analytics. 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 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. Responsibilities: • Independently lead market research projects from scoping and study design through questionnaire or discussion guide development, fieldwork, analysis, synthesis, and presentation., • Partner with stakeholders to clarify business questions, identify the decisions research should inform, and agree on scope, methods, timelines, and deliverables., • Conduct research with consumers, prospective and current members, and brokers to understand market needs, audience segments, purchase drivers, barriers to enrollment, and reasons for retention or switching., • Design and execute quantitative and qualitative studies, including surveys, interviews, concept and message testing, and brand and consideration research., • Support audience segmentation and market opportunity assessments by combining primary research with secondary sources and internal data., • Track competitor offerings, positioning, and consumer trends, translating relevant developments into implications for Oscar., • Partner with User Research, Data Science, and Analytics to connect market attitudes and stated preferences with observed behaviors and business performance., • Deliver clear recommendations that inform audience prioritization, value propositions, marketing strategy, and insurance product development; communicate methodological limitations and uncertainty., • Manage research vendors and panel providers for assigned projects, including briefs, sampling requirements, data quality, timelines, and budgets., • Contribute to shared research tools, repositories, and repeatable approaches; share methods and provide feedback to colleagues where appropriate., • Use AI-enabled tools thoughtfully to support research efficiency and knowledge reuse while maintaining human oversight, analytical rigor, privacy, and compliance., • Apply ethical and inclusive research practices, including appropriate consent, accessible participation, and consideration of underrepresented and hard-to-reach audiences., • Comply with all applicable laws and regulations., • Other duties as assigned. Requirements: • 5+ years of hands-on experience in market research, consumer insights, or a closely related applied research field., • Experience independently delivering research projects involving multiple stakeholders, from business question through actionable recommendations., • Strong quantitative research skills, including questionnaire design, sampling, data quality assessment, and analysis and interpretation of survey results., • Experience applying qualitative methods to understand consumer motivations and explain quantitative findings., • Experience conducting research that informs marketing, positioning, audience strategy, or product decisions., • Ability to combine primary research, secondary sources, and internal data into a coherent, evidence-based point of view., • Experience using survey platforms and analytical tools to work directly with research data., • Strong written and verbal communication skills, including presenting findings and recommendations to non-research audiences., • Ability to manage competing project priorities and work within ethical, privacy, compliance, and operational constraints. Bonus points • Experience in healthcare, health insurance, benefits, financial services, or another regulated industry., • Experience researching insurance purchasing journeys or working with consumers, members, and brokers in a B2B2C environment., • Experience with segmentation, brand tracking, market sizing, or choice-based research methods such as conjoint or MaxDiff., • Experience managing external research agencies, panel providers, or syndicated research resources., • Education or training in market research, marketing, psychology, sociology, economics, statistics, or a related field. 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 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 DescriptionDescriptionOverview The Patron Insights Researcher, Quantitative Research will support institution-wide efforts to capture, amplify, and generate insights from our patron data in order to expand our impact and reach our ambitious growth goals. As a member of the Patron Insights & Analytics team, this role contributes to a core tenet of our 5-Year Strategy: ensuring all of our work – from policies and programs to outreach and marketing – is grounded in a deep understanding of our patrons. This role will conduct ongoing quantitative research aimed at translating programmatic and operational questions into actionable insights, leveraging available data to conduct end-to-end data analysis. Additionally, this role will work closely with other members of the PI&A team to support quantitative analyses of qualitative research. A successful candidate is a creative person interested in directly contributing to the vitality and growth of one of the world’s premier library systems and iconic public institutions. You’ll have the Library’s diverse user base to explore analytically, and you’ll collaborate cross functionally, developing strong relationships with staff throughout the Library. Some expectations for this role are that within: 1 month, this person will: • Learn the basic organizational structure of the Library and its services, • Familiarize themselves with the data systems and datasets available for patron research, • Review current in-progress analyses and research goals, • Meet key stakeholders and understand their roles3 months, this person will:, • Understand all aspects of NYPL data systems and datasets, • Actively contribute to PI&A codebase and analyses, • Own one or more data processing pipelines6 months and beyond, this person will:, • Lead work on multiple independent analyses, • Own the transition of multiple data processing pipelines to a new data lake Responsibilities • Conduct in-depth analyses of a wide array of library datasets to advance insights about patron usage of the library and develop metrics for ongoing institutional tracking, • Conduct targeted tactical analyses & create data summaries in response to requests from departments across the library, • Communicate findings to stakeholders, providing guidance and support that helps interpret complex findings for non-technical audiences, • Collaborate with PI&A colleagues to build and maintain a shared analytical codebase, using a modern data analysis language (R or Python) and version control, • Maintain existing PI&A data processing & analytical pipelines to keep analytical data data flowing while we transition to a more robust data lake, • Build and maintain survey data analysis pipelines to support rigorous & consistent analysis of information collected from library program participants, • Collaborate with our data engineering team to refactor existing metric pipelines and build out new ones in our new data lake infrastructure, • Perform other responsibilities as required Required Education, Experience & SkillsRequired Education & CertificationsBachelor’s degreeRequired Experience • 3+ years of hands-on professional experience in research and data analysis, working with large/complex data sets, • Proven experience in processing and analyzing data with languages such as R, Python, and SQL, • Experience in meeting the research & data needs of a mission-based organization, • Experience working with survey data is beneficial, • Understanding of the workings of public libraries and research libraries is beneficialRequired Skills, • Proficiency in statistical programming language such as R or Python, • Proficiency with relational database concepts and query languages such as SQL, • Comfort with core statistical techniques such as significance testing, correlation, regression, distributions, factor and cluster analysis, sampling methodology, and basic predictive modeling, • Experience in creating reproducible data analyses with documentation and methodological transparency, • Demonstrated experience using statistical, analytical, and visualization skills to generate insights, • Ability to independently produce presentation-ready deliverables and clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writing, • Excellent analytic and quantitative reasoning skills, especially including the ability to rigorously evaluate the data needed to answer a given question (and the questions that can be answered by a given dataset), • A learning mindset, with an appetite for developing skills and absorbing information, • Demonstrated successful experience working collaboratively and effectively and establishing trusting relationships within a diverse organization, across multiple levels of management and staff Managerial/Supervisory ResponsibilitiesN/A More...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, • Hybrid Work Environment; 3 days onsite, 2 days remotePhysical Duties, • NonePre-Placement Physical Required? No Union/Non Union Non-Union FLSA Status Exempt Schedule • Monday - Friday; 9-5; 35 hours a week, • Hybrid Work Environment; 3 days onsite, 2 days remoteThis job description represents the types and levels of responsibilities that will be required of the position and shall not be construed as a declaration of all of the specific duties and responsibilities for the role. Job duties may change if Library priorities change. Employees may be directed to perform job-related tasks other than those specifically presented in this description as needed. The New York Public Library Salary Statement At the Library, we believe that pay transparency and pay equity are important to ensuring we source the best candidates and keep the best employees. When making a determination as to the appropriate salary for a candidate, we consider a variety of factors such, including, but not limited to, the position requirements, the skills, prior experience, and educational background required or preferred for the job, the scope and impact of the role within the organization, internal peer equity, and the candidate's specific training, experience, education level, and skills. No single factor is conclusive; the Library reserves the right to consider any and all relevant factors and make a decision consistent with its policies. Union Salaries are determined by collective bargaining agreement(s).

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 Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity As a Senior Product Designer, you will employ your mature kit of human centered design methods to facilitate alignment of stakeholders to solutions that meet real user needs. While you might do some wireframing and interaction design, you are just as much of a user researcher, an insights synthesizer, a problem framer, a sensemaker, a journey mapper, an information architect, and a usability engineer. You are someone who takes initiative, drives your design process, and doesn't wait for internal Product Management or Engineering partners to tell you what is needed. In this role, you act as an alignment facilitator, leveraging a unique set of tools and skills to guide the team toward delivering user-centered solutions aligned with our mission to transform the standard of cardiac care and eliminate heart attacks worldwide. About the Team Cleerly's leadership in cardiovascular care innovation offers significant opportunities for passionate and mission-driven individuals. You will join a high-performing Product Design function that is valued and supported by executive leadership. We are committed to driving measurable impact across our products with a focus on improving customer delight, increasing adoption, and ensuring scalability. Responsibilities • End-to-End Product Design: Lead the entire design lifecycle, driving projects from discovery through launch, managing deadlines, and facilitating stakeholder alignment., • Outcome-Driven Accountability: Directly drive a quantifiable reduction in operational friction by designing highly efficient, scalable, and error-minimized workflow solutions., • Design Craft & System Stewardship: Apply superior information architecture, interaction, and visual design craft to all deliverables. Actively contribute to and leverage Cleerly's design system to accelerate product realization and elevate the quality baseline., • Feasible Design Delivery: Serve as a core partner to Engineering and QA, understanding technical constraints and ensuring that delivered designs are viable for efficient implementation., • Strategic Influence & Thought Leadership: Serve as thought partner to Product Management, Engineering, and Clinical teams, actively providing informed design perspectives and driving strategic cross-functional decisions., • Evidence-Based Optimization: Conduct deep discovery-type user research, defining audiences and mapping workflows, to identify friction points and opportunities for improvements within complex multi-user workflows., • Risk-Based Design: Perform regulatory-compliant human factors engineering activities such as task analysis, use-related risk analysis, risk-based formative usability evaluations, and actively contribute to the cross-functional risk management efforts., • Design Advocacy & Communication: Employ outstanding communication and storytelling skills to distill complex workflow issues into clear, engaging narratives, actively amplifying the voice and business impact of design company-wide. Required Qualifications & Skills • 8+ years of professional experience in Product Design with a strong portfolio and case studies demonstrating expertise in complex B2B, analytics, and dashboarding solutions., • Comfortable working in a fast-paced, innovative startup environment where changes are frequent, maintaining a positive attitude toward ambiguity., • Proven ability to tackle complex products from start to finish with high autonomy, demonstrating a track record of driving and measuring quantifiable improvements in business and user outcomes. Additional Requirements • Expert proficiency with Figma's advanced features and familiarity with AI-powered user research tools for qualitative (e.g. Dovetail) and quantitative research., • Experience with rapid prototyping leveraging design systems and AI (Figma Make, Figma MCP Server, Lovable, 3Cursor, etc)., • Experience in the HealthTech, SaMD, or other domains with complex data and specialized workflows., • Experience designing applications involving medical imaging or large-scale scientific data. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $166,950 - $192,180 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

We’re partnering with a leading tech organization on a confidential search for an experienced Freelance Quantitative Researcher (UX Research) to support a fast-paced discovery initiative. This is a temporary/contract role. The Freelance Quantitative Researcher will join an established cross-functional team and take ownership of assigned research activities from planning and fieldwork through analysis and synthesis. The ideal candidate brings deep experience working with quantitative and behavioral data and can quickly translate complex customer data into clear, actionable insights. This is a temporary/contract role. • Pay Rate: $70.00/hour Responsibilities: • Analyze customer engagement data across digital and contact-center channels to identify behaviors, patterns, pain points and opportunities, • Integrate quantitative, behavioral and qualitative findings to develop meaningful customer insights, • Plan quantitative research and determine the appropriate analytical methods based on research questions and available data, • Design and analyze surveys, including questionnaire development, sampling and statistical analysis, • Partner closely with qualitative research, Strategy and Design teams to translate findings into personas, future-state journeys and experience strategy, • Independently manage assigned research activities while working within an established research approach and project structure, • Communicate research findings and implications clearly to cross-functional teams and senior stakeholders Required Qualifications: • 5+ years of relevant quantitative research experience, including analysis of large and varied customer datasets, • Strong experience with behavioral and customer engagement data, ideally including digital interaction and contact-center data, • Hands-on expertise in survey design and analysis, including questionnaire design, sampling and statistical analysis, • Working knowledge of qualitative UX research methodologies such as user interviews, usability testing, card sorting, journaling, surveys and A/B testing, • Demonstrated ability to quickly onboard into an established project and independently drive research activities with limited oversight, • Degree or equivalent qualification in a STEM discipline, Psychology, Behavioral Economics, Human Factors, Design or a related field, • Experience using AI-enabled research and analysis tools, with sound judgment around ethical use, output quality and data confidentiality, • Strong communication and collaboration skills with experience working in cross-functional, multidisciplinary teams and engaging senior stakeholders. What We’re Looking For: • Strong commitment to research integrity and the ability to challenge assumptions with evidence, • Product design mindset with comfort working in fast-paced, agile environments, • Confidence working hands-on with complex, varied and sometimes messy datasets, • Ability to build strong relationships and create stakeholder buy-in around research findings and recommendations, • Independent, adaptable and comfortable contributing immediately within an established team If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: and connect with us on , and _. Opportunity Awaits.

Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out _ About the Role: We are seeking a highly motivated and experienced Quantitative Researcher/Data Analyst to play a crucial role in enhancing our understanding of user behavior and product performance. This position will leverage deep expertise in Qualtrics to design, implement, and manage in-product intercept surveys, including workflows, embedded data, and directory management, to effectively capture user feedback. The ideal candidate will bridge the gap between UX research and product teams, translating data into actionable insights that drive product improvements in both B2C and B2B environments. Key Responsibilities: • Intercept Survey Design & Implementation:, • Design, implement, and manage in-product intercept surveys using Qualtrics, including advanced targeting logic, survey workflows, and cookie preferences., • Manage Qualtrics directories and contact lists for precise participant targeting and segmentation., • Ensure the effective collection of user feedback through surveys, aligning survey data collection with product goals and user experience principles., • Troubleshoot and optimize survey deployment and data collection processes, such as addressing issues with cookies and embedded data., • Analytics, Reporting & Visualization:, • • Conduct comprehensive quantitative analysis of user behavior, product performance, and survey feedback to identify trends, pain points, and opportunities for improvement., • Develop, maintain, and automate Qualtrics dashboards to visualize key metrics,track product health, and communicate actionable insights to stakeholders., • Translate complex data findings into clear, concise, and compelling narratives for various audiences, including product managers, designers, and senior leadership. Collaboration & Education: • Work closely with the existing UX Quantitative Researcher to support their analytical needs, streamline data access, and enhance research methodologies., • Foster strong partnerships with qualitative UX researchers to triangulate findings and provide a comprehensive understanding of user needs and behaviors., • Facilitate collaboration between UX and various data teams to achieve shared data goals., • Behavioral Data Integration & Enablement:, • Collaborate with development and data engineering teams to integrate survey data with behavioral analytics platforms (e.g., Glassbox) and other internal datasets., • Facilitate access to and understanding of behavioral data for the UX research and product teams. Qualifications: • Bachelor's Degree or higher in a quantitative field (e.g., Statistics, Economics, Psychology, Human-Computer Interaction, Business Analytics) or equivalent practical experience., • 5+ years of experience in product analytics, quantitative UX research, or a similar data-focused role, with significant experience in digital products within B2B and B2C environments., • Proven expertise in designing, implementing, and managing in-product intercept surveys, including advanced targeting logic and cookie management., • Strong proficiency with Qualtrics and its integration capabilities (e.g., embedded data, XM Directory, Dashboards)., • Excellent communication, interpersonal, and stakeholder management skills, with a track record of collaborating effectively with technical and non-technical teams., • Experience in designing workflows and establishing directories for data access and documentation is a plus.

Staff Applied Researcher (Remote Eligible) 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. Team Description: 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. 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. What You’ll Do: • 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., • 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., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals., • Define and steward novel research directions that expand the organization’s long-term scientific agenda, ensuring foundational discoveries translate into deployable capabilities The Ideal Candidate: • 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, • 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, • 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, • 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, • 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, • Has a deep understanding of the foundations of AI methodologies, • 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, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes, • Experience in delivering libraries, platform level code or solution level code to existing products, • 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, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Capital One is open to hiring a Remote or Hybrid Employee for this opportunity. If the role is designated as Hybrid, you are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. If the role is designated as Remote, you are expected to adhere to Capital One's Remote Worker Expectations. Basic Qualifications: • 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 Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 10 years of industrial NLP research experience, • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • 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), • Has worked on an LLM (open source or commercial) that is currently available for use, • Demonstrated ability to guide the technical direction of a large-scale model training team, • Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens, • Experience with common training optimization frameworks (deep speed, nemo), • Behavioral Models, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series), • Member of technical leadership for model deployment for a very large user behavior model, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR, • Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems, • Experience with production real-time and streaming environments, • Contributions to common open source frameworks (pytorch-geometric, DGL), • Proposed new methods for inference or representation learning on graphs or sequences, • Worked datasets with 100m+ users, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large language models, • 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model, • Data Preparation, • Numerous Publications studying tokenization, data quality, dataset curation, or labeling, • Leading contributions to one or more large open source corpus (1 Trillion + tokens), • Core contributor to open source libraries for data quality, dataset curation, or labeling, • 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) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $306,300 - $349,500 for Staff Applied Researcher McLean, VA: $306,300 - $349,500 for Staff Applied Researcher New York, NY: $334,100 - $381,300 for Staff Applied Researcher San Francisco, CA: $334,100 - $381,300 for Staff Applied Researcher San Jose, CA: $334,100 - $381,300 for Staff Applied Researcher 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. 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. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.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. 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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. 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).

Staff Applied Researcher 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. Team Description: 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. 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. What You’ll Do: • 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., • 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., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals., • Define and steward novel research directions that expand the organization’s long-term scientific agenda, ensuring foundational discoveries translate into deployable capabilities The Ideal Candidate: • 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, • 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, • 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, • 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, • 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, • Has a deep understanding of the foundations of AI methodologies, • 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, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes, • Experience in delivering libraries, platform level code or solution level code to existing products, • 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, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: • 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 Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 10 years of industrial NLP research experience, • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • 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), • Has worked on an LLM (open source or commercial) that is currently available for use, • Demonstrated ability to guide the technical direction of a large-scale model training team, • Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens, • Experience with common training optimization frameworks (deep speed, nemo), • Behavioral Models, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series), • Member of technical leadership for model deployment for a very large user behavior model, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR, • Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems, • Experience with production real-time and streaming environments, • Contributions to common open source frameworks (pytorch-geometric, DGL), • Proposed new methods for inference or representation learning on graphs or sequences, • Worked datasets with 100m+ users, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large language models, • 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model, • Data Preparation, • Numerous Publications studying tokenization, data quality, dataset curation, or labeling, • Leading contributions to one or more large open source corpus (1 Trillion + tokens), • Core contributor to open source libraries for data quality, dataset curation, or labeling, • 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) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $306,300 - $349,500 for Staff Applied Researcher McLean, VA: $306,300 - $349,500 for Staff Applied Researcher New York, NY: $334,100 - $381,300 for Staff Applied Researcher San Francisco, CA: $334,100 - $381,300 for Staff Applied Researcher San Jose, CA: $334,100 - $381,300 for Staff Applied Researcher 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. 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. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.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. 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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. 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. Director, Applied Researcher 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. Team Description: 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. This is a people leader role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected technologist and people leader, you will guide and mentor a team of applied scientists. 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. What You’ll Do: • Partner with a cross-functional team of applied researchers, data scientists, AI engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • 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., • Build and apply AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals., • Set the strategic research vision and roadmap for the organization, ensuring alignments between long-term scientific discovery and business transformation priorities The Ideal Candidate: • 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, • 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, • 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, • 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, • 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, • Have a deep, first-principles understanding of the foundations of AI methodologies, • 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, different flavors of RL, • Experience building production grade systems that deliver large scale business impact., • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes, • Experience in delivering libraries, platform level code or solution level code to existing products, • 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, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: • 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, • At least 5 years of people leadership experience Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 10 years of industrial NLP research experience, • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • 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), • Has worked on an LLM (open source or commercial) that is currently available for use, • Demonstrated ability to guide the technical direction of a large-scale model training team, • Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens, • Experience with common training optimization frameworks (deep speed, nemo), • Behavioral Models, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series), • Member of technical leadership for model deployment for a very large user behavior model, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR, • Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems, • Experience with production real-time and streaming environments, • Contributions to common open source frameworks (pytorch-geometric, DGL), • Proposed new methods for inference or representation learning on graphs or sequences, • Worked datasets with 100m+ users, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large language models, • 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model, • Data Preparation, • Numerous Publications studying tokenization, data quality, dataset curation, or labeling, • Leading contributions to one or more large open source corpus (1 Trillion + tokens), • Core contributor to open source libraries for data quality, dataset curation, or labeling, • Track record of scaling research organizations and establishing cross-disciplinary programs that translate cutting-edge AI research into enterprise impact Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $350,000 - $399,500 for Sr. Director, Applied Researcher McLean, VA: $350,000 - $399,500 for Sr. Director, Applied Researcher New York, NY: $381,800 - $435,700 for Sr. Director, Applied Researcher San Francisco, CA: $381,800 - $435,700 for Sr. Director, Applied Researcher San Jose, CA: $381,800 - $435,700 for Sr. Director, Applied Researcher 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. 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. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.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. 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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. 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 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. Team Description: 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. 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. What You’ll Do: • 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., • 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., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals., • Define and evolve the company’s long-term research agenda - identifying emergent scientific opportunities and steering foundational investments in AI innovation The Ideal Candidate: • 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, • 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, • 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, • 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, • 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, • Has a deep understanding of the foundations of AI methodologies, • 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, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes, • Experience in delivering libraries, platform level code or solution level code to existing products, • 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, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: • 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 Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 10 years of industrial NLP research experience, • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • 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), • Has worked on an LLM (open source or commercial) that is currently available for use, • Demonstrated ability to guide the technical direction of a large-scale model training team, • Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens, • Experience with common training optimization frameworks (deep speed, nemo), • Behavioral Models, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series), • Member of technical leadership for model deployment for a very large user behavior model, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR, • Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems, • Experience with production real-time and streaming environments, • Contributions to common open source frameworks (pytorch-geometric, DGL), • Proposed new methods for inference or representation learning on graphs or sequences, • Worked datasets with 100m+ users, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large language models, • 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model, • Data Preparation, • Numerous Publications studying tokenization, data quality, dataset curation, or labeling, • Leading contributions to one or more large open source corpus (1 Trillion + tokens), • Core contributor to open source libraries for data quality, dataset curation, or labeling, • 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) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $350,000 - $399,500 for Sr. Staff Applied Researcher McLean, VA: $350,000 - $399,500 for Sr. Staff Applied Researcher New York, NY: $381,800 - $435,700 for Sr. Staff Applied Researcher San Francisco, CA: $381,800 - $435,700 for Sr. Staff Applied Researcher San Jose, CA: $381,800 - $435,700 for Sr. Staff Applied Researcher 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. 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. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.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. 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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. 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).

Are you a visionary researcher eager to shape the future of products from the ground up? We're seeking a highly strategic and commercially-minded individual to join a pioneering Product Ventures team.

For a brief 1-minute video about us, you can check out the Role: We are seeking a highly motivated and experienced Quantitative Researcher/Data Analyst to play a crucial role in enhancing our understanding of user behavior and product performance. Work closely with the existing UX Quantitative Resea

Work closely with the existing UX Quantitative Researcher to support their analytical needs, streamline data access, and enhance research methodologies. Foster strong partnerships with qualitative UX researchers to triangulate findings and provide a comprehensive understanding of user needs and beha

Bring a proven, client-focused performance measurement professional who pairs rigorous analytical and quantitative expertise with clear communication, Global Investment Performance Standards (GIPS) aligned credentials (CIPM/CFA completed or in progress), and a strong academic foundation. Passionate about markets and fluent across wealth management products, securities operations, and performance system architecture (including legacy platforms), they bridge front office, technology, and risk & controls to deliver actionable insight under tight deadlines. As a Portfolio & Performance Analyst in the Portfolio Analysis Group (PAG), you will handle performance measurement, data validation, and portfolio analytics for external clients. You will provide independent analysis and thought leadership for internal stakeholders, including portfolio managers, advisors, sales & marketing, and senior management. Your work will include performance reporting, rate-of-return calculations, return attribution, risk analytics, competitive analysis, and account analysis and construction. You will help clients understand portfolio performance drivers and help the firm assess the effectiveness of JPMorgan Chase Wealth Management products and strategies. You will support front-office Advisors with ad hoc client inquiries, including detailed account-level analysis, and work with First Republic Bank relationships and legacy systems as they integrate into strategic performance tools. Job Responsibilities • Own responsibilities for JP Morgan Wealth Management (JPMWM) Account and continuation of servicing Federal Reserve Board clients in legacy platform, creating best practices, optimizing processes, examining current constructions with rigor, etc., • Liaise with key business partners to ensure appropriate account/strategy performance and technology development; Collaborate with regional Tech & India PAG team in the production of accurate and timely performance measurement figures for the JPMWM line of business, • Create opportunities for new high value-added outputs in the portfolio analytics, risk statistics and strategy vs benchmark analytics arenas, • Respond in a timely fashion to inquiries from front-office financial advisors regarding performance reports, customized calculations and portfolio analytics; Serve as a subject matter expert (Business-As-Usual), • Acclimate and participate in PAG's new group-wide strategic performance technology projects; contribute to outline business requirements, running User-Acceptance-Test and Production Role out of new offerings from many of our strategic products and platforms, • Assist in writing of business requirements, testing and preparing documentation for the various strategic projects that PAG undertakes, • Contribute on short-term, medium-term and longer-term strategic projects that focus on improving the PAG's service offering and data quality. Included, but not limited to, design, development, and testing of the Connect Wealth platform offering Required qualifications, capabilities, and skills • Experienced performance measurement professional with typically 3+ years of relevant experience, including project and performance experience., • Qualified candidate with a Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a similar discipline from an accredited, high-quality institution., • Analytical researcher able to investigate and analyze complex datasets., • Quantitative analyst comfortable with formulas, performance measurement methodologies, and risk measures., • Communicative collaborator who interacts effectively, both written and verbal, across all organizational levels and roles. Preferred qualifications, capabilities, and skills • Experienced performance measurement professional with 3+ years of relevant project and performance experience., • Qualified with a Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a similar discipline from an accredited institution., • Analytical and quantitative, able to research complex datasets and apply formulas, performance methodologies, and risk measures., • Knowledgeable in GIPS and composite practices, with CIPM/CFA path., • Familiar with securities operations, trade processing, mainframe accounting systems, and performance system architecture., • Well-versed in wealth management businesses/products and passionate about investments and financial markets., • Communicative and self-directed, able to explain complex concepts to senior stakeholders, collaborate across teams, and deliver under tight deadlines., • Developing experience using AI-powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes.

1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway's mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that. But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens. We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. We are looking for a skilled and experienced quantitative Staff Market Researcher to join our team and support Headway's mission to build a new mental healthcare system that everyone can access. In this role, you will be a strategic partner, utilizing a primarily quantitative or mixed methods approach, to uncover critical insights about our customers and our market. You will conduct research to inform business and marketing strategies, helping us identify and unlock significant growth and differentiated product opportunities. You will also be responsible for maintaining our brand and sentiment measurement program, combining signals across channels to drive actions to improve our products. • Lead our end-to-end market research strategy, from identifying key questions and scoping research plans to conducting the work, synthesizing findings, and presenting actionable recommendations to stakeholders across the business., • Employ a quantitative research skillset to develop a comprehensive understanding of our users and our market. You will be expected to serve as both a survey and statistical analysis expert for the Research team, employing advanced methods (e.g. DCM) where needed., • Establish and run an impactful brand and sentiment measurement program, taking in multiple sources of data to synthesize, identify trends, and make recommendations across business organizations., • Act as a strategic thought partner to business leaders, helping them define problem spaces and inform the development of new investments., • Drive a culture of research and user-centricity across the organization by evangelizing research findings and promoting a deep understanding of our customers., • Mentor and provide guidance to junior researchers, helping to build and scale our research practice., • A PhD + 4 years of industry market research experience (ideally with experience in a fast-moving tech environment). Or a Masters + 7 years. Or a Bachelors + 9 years., • Expertise in advanced quantitative market research methodologies., • A demonstrated ability to identify and frame business problems and opportunities, with a portfolio of work that shows direct impact from quantitative research., • Experience in tracking survey research programs., • Strong analytical and critical thinking skills, with the ability to turn complex data and observations into clear, compelling narratives., • Excellent communication and presentation skills, with the ability to influence and collaborate with diverse teams., • A self-starter who is innately curious about human behavior and passionate about solving complex problems. The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. • Benefits offered include:, • Equity compensation, • Medical, Dental, and Vision coverage, • HSA / FSA, • 401K, • Work-from-Home Stipend, • Therapy Reimbursement, • 16-week parental leave for eligible employees, • Carrot Fertility annual reimbursement and membership, • 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st, • Flexible PTO, • Employee Assistance Program (EAP), • Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here. A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers . Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @ findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.

Paxos Labs builds enterprise infrastructure that powers the next generation of trusted onchain financial products. We work with the largest financial enterprises in the world to build transparent and verifiable onchain infrastructure that works for end users and everyday financial use cases. If you believe in bringing DeFi and digital assets to the mainstream, consider building your career at Paxos Labs. We're hiring a Quantitative Researcher to help scale Paxos Labs's DeFi risk analysis capabilities. The team at Paxos Labs builds DeFi infrastructure that reimagines the way on-chain liquidity strategies are handled. Strategies and risk management are delegated to sophisticated actors who act from compute done in a data rich offchain environmentall the while maintaining on-chain constraints that enforce user safety. We are looking for a motivated quantitative researcher that can aptly research and deploy extensive knowledge across TradFi and DeFi to execute state-of-the-art risk curation and yield optimization across the DeFi ecosystem. Most importantly, we are looking for researchers with interests in the following: • Quantitative Risk Analysis, • TradFi Trading Strategies, • DeFi Trading Strategies Responsibilities include: • Managing a portfolio of yield generating opportunities across protocols and chain, closely collaborating with our DeFi engineers on execution., • Managing algorithm design and backtesting to produce actionable insights for DeFi portfolio management., • Creating frameworks for risk analysis and portfolio optimization., • Monitoring data, forecasting risk, and designing triggers to enter opportunistic strategies or exit black swan events before anyone else in the market. Qualifications include: • Deep knowledge on Risk Management. Financial and statistical concepts to measure risk and optimal portfolio management., • Deep knowledge on DeFi Protocols. Internal mechanisms of many if not most of these protocols:, • Liquid staking protocols (Lido, EtherFi, Kinetiq), • AMMs (Uniswap, Balancer), • Lending protocols (Aave, Morpho Blue, Maple, Term Finance), • Perp DEXs (Hyperliquid, Lighter, GMX)., • Auctions/RFQs/Routers (CoW Protocol, UniswapX, 1inch Fusion, Hashflow), • Familiarity with Data Engineering, • Experience with managing a book in TradFi or DeFi across equities, tokens, loan books, or other types of strategies., • Experience applying rigorous statistical methods to portfolio analysis. Joining Paxos Labs means becoming part of a pioneering team at the forefront of financial innovation for the mass market. You will have the opportunity to: • Build the Future: Play a critical role in transforming traditional enterprises with innovative crypto solutions., • Do Impactful Work: Contribute to projects that have a tangible impact on the global financial landscape., • Enable Personal Growth: Benefit from continuous learning and professional development in a rapidly evolving industry with an emphasis on personal career advancement., • Receive Competitive Compensation: Receive a competitive salary and participate in directly in ownership structures that provide top-of-the-line benefits., • Join A Dynamic Team: Thrive in a fast-paced, agile setting where your ideas are valued and your contributions are recognized. We are a heavily in-person team working in New York City. We prize effective in-person coordination that allows us to move fast. We also consider remote work on a case by case basis. Once we receive your application, we'll be in touch if we are interested.

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 skills with 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, color, sex/gender, sex stereotype, gender identity/gender expression/transgender, national origin, ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age, sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

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.

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.

Facilitate surveys and interviews with users to gather information on user needs and desires and create user testing scenarios to further refine the product or feature based on findings. Leveraging your deep expertise in research methods and user experience design, develop and execute research strat

Testing Site - JPMC is seeking a Vice President-level Quantitative UX Researcher (LLM) to shape user experiences across digital products.

Job DescriptionJob Title: AI Researcher / Machine Learning Engineer About This Role We are looking for a dedicated AI Researcher to join our team four our client. Unlike some positions that focus strictly on applied vision engineering and explicitly state they are not research roles, this role bridges the gap between frontier applied AI and real-world execution. Inspired by frontier applied AI labs building zero-touch enterprise solutions, you will help define our roadmap and engineering bar while working on high-leverage projects. You will be responsible for taking ML systems from concept to real-world scale. Key Responsibilities • Design the agentic layer., • Implement self-checking, reflection, and verification passes before results reach humans or downstream systems., • Build systems that measure model performance across every new store, catch when results stop meeting standards, and refine the models., • Orchestrate agentic workflows and retrieval augmented generation., • Productionize prompt pipelines, retrieval, and light fine-tuning, where it moves the needle., • Stand up inference paths with low latency serving and token-level observability., • Own vision tooling and testing infrastructure, and try out new model variants on the edge device and in the cloud. Minimum Requirements, • 1-6 years of experience as a software or machine learning engineer., • Has taken a CV or ML system from concept to real-world deployment, including evals, training pipelines and signal refinement., • Experience in tech stacks including Python and Elixir., • A top-decile AI power user who keeps exploring new tools., • Ownership mentality, crisp communication, and comfortable making decisions with 80 percent information., • Move fast without breaking things, not afraid to learn new stacks, bring a we will figure it out attitude. Preferred Qualifications, • Master's in Computer Science., • PhD in Computer Science, Physics, Applied Mathematics, Artificial Intelligence, or a related field., • Familiarity with LangGraph is a plus., • Open-source work or side projects are a big plus. Compensation and Benefits, • Base salary range of $175K-$300K, with total comp including equity., • Alternative compensation packages may offer $185K-$205K along with competitive equity., • Top-tier health benefits and flexible PTO. Logistics & Work Policy, • Location: We offer flexible options based on the project team, ranging from in-person 5 days a week at the San Francisco office to fully remote within the United States., • Remote Requirements: For remote roles, you must be US-based, working at least 5 hours of overlap with Mountain Time, with one on-site per quarter., • Visa Sponsorship: Depending on the specific role, we may be open to visa transfers (e.g. OPT, H1B transfers) and sponsorships (e.g. new H1B, TN), or the role may require a US citizen or green card holder.

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)

Job Description Our Story With over 50 years of serving the creative community, Adorama has grown from a beloved New York City camera store into the world's only full-service destination for photo, video, and electronics. We're more than a retailer—we're a creative partner for professionals, hobbyists, and tech enthusiasts alike. From iconic brands like Sony, Canon, and Nikon to the latest in drones, smart home tech, musical instruments, and pro audio gear, Adorama provides creators with the gear and services they need to bring their visions to life. Our passion for education, innovation and commitment to customer experience make us a dedicated and trusted resource. At Adorama, we don't just support creativity—we live it. Join a team that's shaping the future of how the world captures, creates and connects. Our Leadership Principles • Growth Mindset: We set high standards, embrace failure, and are open to change., • Be Customer-Centered: We focus on the end-to-end customer experience., • Take Ownership & Dig Deeper: We are proactive, use data, and avoid shortcuts., • Think Like a Start-Up: We move fast, stay flexible, and celebrate every win., • Be Humble & Respectful: We assume positive intent, listen actively, and support one another. About Adorama Used/Trade & Role Adorama's Used/Trade department is seeking a Freelance Consumer Researcher to better understand what drives customers to buy, sell, and trade pre-owned gear, and translate those insights into more effective advertising, landing pages, and offers. Our Used/Trade department specializes in buying, evaluating, and reselling pre-owned equipment, as well as managing our trade-in program. Unlike customers purchasing new gear, Used/Trade customers are often more price-conscious, focused on product condition, and looking for reassurance and trust throughout the buying or selling process. While we have extensive transaction data, we're looking to gain a deeper understanding of our customers' motivations, concerns, and decision-making behaviors. In this role, you'll independently manage research initiatives from start to finish, including conducting customer interviews, testing ads and landing pages, analyzing customer behavior, and developing surveys. You'll report to the Paid Media team and collaborate closely with our marketing teams to turn research findings into actionable insights that improve the customer experience and drive business results. Employment Type: Freelance / Independent Contractor Location: Remote Schedule: Approximately 20 hours per week, with flexibility based on interview and survey schedules Duration: Initial 3-month engagement, with the possibility of extension based on business needs Application Requirements: When applying, please submit your resume along with 1–2 samples of previous research work, such as a redacted readout, report, or case study, demonstrating how you translated research findings into actionable recommendations. What Will Help You Thrive • Moderated customer interviews. Recruit, schedule and conduct one-on-one interviews with real Used/Trade customers (buyers, sellers and trade-in customers). Write the discussion guides, run the sessions and synthesize what you learn so it enriches our internal customer data: motivations, objections, trust signals, and how people describe their own gear and buying decisions., • Unmoderated research on ads and landing pages. Design and run unmoderated tests that show where our paid ads and landing pages confuse, mislead or fail to persuade. This may include evaluating and recommending the right user research tool for our needs (platform fit, participant panel quality, cost, and ability to screen for used-gear shoppers) before running studies in it., • Heatmap and click analysis. Set up and analyze heatmaps, scroll maps and click data on our landing pages. Identify where visitors stall, what they ignore and what they click that is not clickable, and translate the patterns into specific page recommendations., • Hypothesis-driven surveys. Work with our paid media and email teams to turn their questions into testable consumer hypotheses, then plan, field and analyze surveys designed to prove or disprove them. Own questionnaire design, sample definition and the readout of results, including what the data does not tell us. Deliverables Each study ends with something the team can act on, not a raw data dump. • A short research plan before each study: question, method, sample and timeline, • Interview recordings, transcripts and a synthesized readout with direct customer quotes, • If relevant, a written recommendation on the user research tool, with the options compared, • Annotated heatmap and click-analysis findings with prioritized page changes, • Survey instruments, raw results and a plain-language readout that states whether each hypothesis held, • A running log of insights the paid media, email and Used/Trade teams can reference Qualifications • 3+ years of consumer or UX research experience, • A track record of running moderated interviews and turning them into clear, usable insights, • Hands-on experience with unmoderated testing platforms (such as UserTesting, Maze, Lyssna or similar) and the judgment to compare them, • Experience analyzing heatmaps, scroll maps and click data (such as Hotjar, Microsoft Clarity or Crazy Egg), • Survey design skills: writing unbiased questions, defining samples and reading results with appropriate caution, • Comfort working with paid media and email marketers and translating their questions into testable hypotheses, • Strong written and verbal communication, including concise readouts for non-researchers, • Able to work independently and manage your own schedule and participant recruiting Nice to Have • Familiarity with the photography, video or consumer electronics market, or with resale and trade-in marketplaces Ready to Join Our Team of Creators? Apply today and let's create something extraordinary together. Pay range for this role: $80—$80 USD

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

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