{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/policy-interpretation"},"x-facet":{"type":"skill","slug":"policy-interpretation","display":"Policy Interpretation","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3f791482-989"},"title":"People Operations Generalist","description":"<p>About the Company</p>\n<p>At Flow, we&#39;re reimagining what it means to live, work, and connect. We&#39;re building a new kind of living experience: one that&#39;s flexible, connected, and designed to create genuine community and real value for the people who call Flow home.</p>\n<p><strong>About the Role</strong></p>\n<p>We seek a dynamic People Operations Generalist who excels in a versatile role, balancing strategic HR initiatives with the essential groundwork that keeps the department afloat. This opportunity is perfect for a proactive go-getter, ready to deep-dive into the world of HR, regardless of your traditional background.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Data / HRIS:</p>\n<ul>\n<li>Own Rippling system integrity, including workflow configuration, troubleshooting, HRIS support escalations, and ensuring data accuracy across all employee lifecycle events - maintaining Rippling as the single source of truth for people analytics.</li>\n<li>Apply strong analytical and spreadsheet modeling skills to translate people data into actionable business decisions, including headcount planning, compensation benchmarking, attrition forecasting, and workforce cost analysis.</li>\n<li>Leverage AI tools, automation, and real-time data to proactively surface workforce insights - building dashboards and reports in Rippling and Google Sheets that track headcount trends, attrition, and compensation changes, and recruiting pipeline insights.</li>\n<li>Support the performance review cycle operationally - managing timelines, system setup, and producing summary analyses that equip leadership and managers to make informed coaching and compensation decisions.</li>\n<li>Partner with the Director of People on compensation strategy, including salary banding, merit cycles, and performance-related increases.</li>\n</ul>\n<p>New hire / Employee related work:</p>\n<ul>\n<li>Own the full employee lifecycle from offer acceptance through offboarding - including new hire onboarding, orientation, cross-functional access coordination, and separation - ensuring every touchpoint is operationally seamless and compliantly executed.</li>\n<li>Manage the company&#39;s immigration-related processes end-to-end - including visa maintenance and renewals - acting as the primary internal point of contact for employee inquiries and the direct liaison to outside immigration counsel.</li>\n<li>Maintain and administer company HR policies, serving as the go-to resource for employee and manager questions on policy interpretation, workplace guidelines, and day-to-day HR matters.</li>\n<li>Champion office culture and employee experience - organizing team events, fostering in-office energy, and creating touchpoints that make the Flow NYC Office a place people are excited to work from and collaborate in everyday.</li>\n</ul>\n<p><strong>Ideal Profile</strong></p>\n<ul>\n<li>Bachelor’s degree in Business, Management, Psychology, or related field; 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Leave SPOC, where you&#39;ll become a trusted expert in compliance, policy interpretation, and data-driven employee support in a dynamic unionized manufacturing environment with 450 employees at Lima Engine Plant.</p>\n<p>You will serve as the subject matter expert (SME) for attendance management, FMLA, Medical Leaves of Absence (MLOA), and related compliance programs. Your expertise will directly support line managers, ensure regulatory compliance, and contribute to a fair and consistent employee experience.</p>\n<p>This position is ideal for detail-oriented professionals who thrive on mastering complex policy areas while building strong stakeholder relationships and problem-solving skills.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Ensure accurate and compliant administration of FMLA, MLOA, bereavement, and other leaves of absence in accordance with National Agreement, company policy, local contractual agreements, and applicable regulations</li>\n<li>Serve as Subject Matter Expert (SME) for line management on NAP policies, FMLA regulations, and attendance program interpretation</li>\n<li>Conduct and document corrective action discussions for chargeable absences, notification failures, and tardiness in partnership with supervisors</li>\n<li>Accurately document outcomes of corrective action hearings and disciplinary processes</li>\n<li>Monitor and follow up with line management to resolve open NAP, tardiness, and leave-related issues</li>\n<li>Audit and correct Time Worked/Off System (TWOS) coding for attendance and tardiness</li>\n<li>Maintain all required documentation related to FMLA administration and ensure compliance with recordkeeping requirements</li>\n<li>Assist in the 5-day quit process for job abandonment cases</li>\n</ul>\n<p><strong>Employee &amp; Stakeholder Partnership</strong></p>\n<ul>\n<li>Act as primary point of contact for employees regarding FMLA inquiries, leave status communications, and return-to-work coordination</li>\n<li>Coordinate with local medical department to ensure smooth processing of medical leaves and fitness-for-duty evaluations</li>\n<li>Build trusted relationships with line managers by providing expert guidance on complex attendance and leave situations</li>\n<li>Partner with supervisors to coach effective attendance conversations that balance compassion with accountability</li>\n<li>Collaborate with HR colleagues on employee lifecycle transactions involving leave administration (separations, reinstatements, transfers)</li>\n</ul>\n<p><strong>Data Analysis, Reporting &amp; Process Improvement</strong></p>\n<ul>\n<li>Run and analyze attendance-related reports including AWOL, ART, Late Reports, and leave utilization trends</li>\n<li>Create data visualizations and presentations tailored for diverse audiences (line supervisors, plant leadership, union representatives)</li>\n<li>Clean and update employee attendance and discipline records to ensure data integrity</li>\n<li>Identify patterns in attendance data and recommend proactive interventions to reduce absenteeism</li>\n<li>Apply root cause corrective action (RCCA) methodologies to identify and recommend opportunities to streamline attendance processes</li>\n<li>Participate in continuous improvement initiatives to enhance HR service delivery and employee experience</li>\n</ul>\n<p><strong>Cross-Functional Development &amp; Collaboration</strong></p>\n<ul>\n<li>Perform general administrative tasks including filing, document organization, and front-desk coverage as needed</li>\n<li>Support HR team with employee data audits and HRIS system integrity checks</li>\n<li>Participate in cross-functional HR projects to gain exposure to recruiting, onboarding, compensation, and employee relations</li>\n<li>Attend employee relations meetings and union-management discussions to develop broader labor relations knowledge</li>\n<li>Provide backup support for employee onboarding coordination and new hire orientation during peak periods</li>\n<li>Partner closely with HR Specialist – Employee Lifecycle Coordination to ensure seamless employee experience across attendance, leave, and lifecycle transitions</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Human Resources, Business Administration, Legal Studies, or related field required</li>\n<li>Equivalent combination of education and relevant work experience may be considered</li>\n</ul>\n<p><strong>Even better, you may have</strong></p>\n<ul>\n<li>Knowledge of FMLA, ADA, workers&#39; compensation, and leave administration regulations</li>\n<li>Familiarity with collective bargaining agreements and labor relations practices</li>\n<li>Experience using HRIS systems and timekeeping software (e.g., Oracle, SAP, Workforce One, Kronos)</li>\n<li>Exposure to employee relations, conflict resolution, or HR investigations</li>\n<li>Experience in manufacturing plant or distribution center environment</li>\n</ul>\n<p><strong>Work Requirements</strong></p>\n<p>This role requires onsite presence at Lima Engine Plant to fulfill job responsibilities and build relationships with plant leadership and employees.</p>\n<p>Physical Requirements: Involves occasional (defined as one-third or less of the time) lifting of no more than 10 pounds at a time. Work is performed primarily in a seated position and entails no significant stooping, standing, or climbing. Many responsibilities require good use of the hands and fingers for repetitive hand-finger actions. Working conditions occur within low to moderate noise levels related to the use of standard office equipment.</p>\n<p>Schedule: Flexibility to work varied shifts including mornings, evenings, and weekends depending on plant operational needs. 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As a Senior Data Scientist, you will play a key role in building and protecting trust on the Airbnb platform by ensuring that the content on Airbnb, including listings, profiles, messages and other user-generated experiences, is accurate, authentic and aligned with our policies and community standards.</p>\n<p>This role is unique in that it directly improves the safety, trust, and quality of real-world user experiences by advancing Airbnb&#39;s ability to understand, interpret and act on content at scale. You will help shape how the platform reasons about listings, profiles, messages and other user-generated content by building the next generation of Trust Content Understanding Models.</p>\n<p>The ideal candidate is a motivated and talented &#39;full-stack&#39; Data Scientist with strong applied ML intuition and a bias toward impact, who can own and drive forward challenging, high-visibility initiatives such as:</p>\n<ul>\n<li>Advance Airbnb&#39;s content integrity capabilities by building Natural Language Processing (NLP) and LLM-based models that understand intent, policy compliance, quality and risk across listings, profiles, and user communications</li>\n</ul>\n<ul>\n<li>Develop high-performing models for detecting problematic or misleading content, including text classification, semantic similarity, information extraction and generative model-based reasoning for policy interpretation and enforcement</li>\n</ul>\n<ul>\n<li>Design and optimize human-in-the-loop Machine Learning (ML) systems for content review, labeling, escalation and continuous model improvement</li>\n</ul>\n<ul>\n<li>Build systems to detect emerging content risks and abuse patterns across regions, cohorts and surfaces using statistical, ML and representation-learning approaches</li>\n</ul>\n<ul>\n<li>Design intelligent sampling and evaluation strategies to measure rare events, policy recall, false positives/negatives and model blind spots in large-scale content systems</li>\n</ul>\n<p>A Typical Day:</p>\n<ul>\n<li>Artificial Intelligence / Machine Learning: Build and deploy production AI/ML systems for content integrity and trust content understanding, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management. This includes working with NLP and LLM-based models in real production settings.</li>\n</ul>\n<ul>\n<li>Inference: Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes.</li>\n</ul>\n<ul>\n<li>Optimization: Develop frameworks to analyze tradeoffs between enforcement accuracy, user experience, operational cost and coverage, and propose strategies to optimize overall system effectiveness.</li>\n</ul>\n<ul>\n<li>Communication &amp; Collaboration: Deliver robust research reports with effective data visualizations, clear storytelling and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering and operations</li>\n</ul>\n<ul>\n<li>Empowerment: Think strategically about how to scale and evolve Airbnb&#39;s content integrity defenses, helping define the long-term vision for the role of AI-driven content understanding across the Trust ecosystem.</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.</li>\n</ul>\n<ul>\n<li>State-of-the-art knowledge of AI/ML models</li>\n</ul>\n<ul>\n<li>Hands-on experience building, evaluating, and deploying NLP and LLM-based solutions, including text classification, information extraction, semantic understanding or generative applications.</li>\n</ul>\n<ul>\n<li>Working knowledge of causal inference</li>\n</ul>\n<ul>\n<li>Skilled in statistical programming (Python or R) and database usage (SQL)</li>\n</ul>\n<ul>\n<li>Proven ability to communicate clearly and effectively to audiences of varying technical levels</li>\n</ul>\n<ul>\n<li>Ability to translate complex findings and results into compelling narratives that drive impact</li>\n</ul>\n<ul>\n<li>Excellent project management, communication, and collaboration skills</li>\n</ul>\n<ul>\n<li>Trust &amp; Safety experience is a plus</li>\n</ul>\n<p>Your Location:</p>\n<p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.</p>\n<p>Pay Range $177,000-$208,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_40a343d1-388","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7594971","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,000-$208,000 USD","x-skills-required":["Natural Language Processing (NLP)","LLM-based models","text classification","semantic similarity","information extraction","generative model-based reasoning","policy interpretation and enforcement","human-in-the-loop Machine Learning (ML)","content review","labeling","escalation","continuous model improvement","statistical","representation-learning approaches","intelligent sampling","evaluation strategies","rare events","policy recall","false positives/negatives","model blind spots","large-scale content systems","Python","R","SQL","causal inference","statistical programming","database usage"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:24.814Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Natural Language Processing (NLP), LLM-based models, text classification, semantic similarity, information extraction, generative model-based reasoning, policy interpretation and enforcement, human-in-the-loop Machine Learning (ML), content review, labeling, escalation, continuous model improvement, statistical, representation-learning approaches, intelligent sampling, evaluation strategies, rare events, policy recall, false positives/negatives, model blind spots, large-scale content systems, Python, R, SQL, causal inference, statistical programming, database usage","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177000,"maxValue":208000,"unitText":"YEAR"}}}]}