Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory. The Difference You Will Make: Airbnb is seeking a Senior Manager for Advanced Analytics to provide critical support in growing high-quality supply and guest engagement. This role will directly report to the Director of Advanced Analytics and work closely with senior stakeholders across multiple cross-functional teams. The Senior Manager will lead an innovative team focused on delivering data-driven insights and building tools for effective management of the marketplace dynamics. The ideal candidate will possess a unique blend of business acumen and data science expertise. A Typical Day: - Lead and develop a high-performing geographically distributed team, fostering a culture of innovation, agility, growth, and collaboration. - Drive crafts and analytical excellence on advanced data analysis, statistical modeling, experimentation, and metric frameworks. - Serve as a key analytics partner to the senior stakeholders, providing data-driven insights to guide key strategic decisions. Ensure clarity of communication and strategic alignment on analytics initiatives. - Collaborate with teams including Strategic Finance, Data Engineering, Data Science, and Product Marketing in addition to other cross-functional teams. - Develop meaningful metrics and KPIs to quantify the performance of key business initiatives Your Expertise: - A minimum of 10 years experience in advanced analytics, preferably in marketplace and/or travel industries with at least 4 years in people management roles - Experience in leading and motivating a geographically distributed team. - Deep technical expertise in data analysis, experimentation, causal inference, and familiarity with LLMs. - Robust business acumen, strategic thinking skills, and the ability to make informed judgments - Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner. - Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions. - An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact. - A quantitative undergraduate degree is required; an advanced degree (MBA or equivalent) is highly preferred. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. 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. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. 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. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $208,000—$260,000 USD

Company Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Job Description The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders. We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact. Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem. Key Responsibilities and Outputs - Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth. - Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse. - Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact. - AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring. - RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau. Proven Characteristics for Success - The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota. - Impact-Focused: You don't just deliver data; you deliver the "so what?" - AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows. - Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code. Qualifications Essential - Experience: 2–3+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role. - dbt Expertise: Proven experience building and maintaining production-grade data models using dbt. - Orchestration Tools: Hands-on experience with Dagster or Airflow. - SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery). - BI Visualization: Experience building stakeholder-facing dashboards in Tableau. - CRM Knowledge: Familiarity with Salesforce data structures. Preferred - Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt). - AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker). - Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server. - Data Modeling: Salesforce-specific data modeling experience. - Big Data: Experience dealing with large (+1M rows) customer engagement datasets. Additional Information The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work. Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. - Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do. - Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe. - Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors. - Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard. - One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes. - Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world. Global Benefits - Remote First Culture - Health Care Coverage - Education Reimbursement*Competitive Paid Time Off - Self-Care Days - National Holidays - 2 Founder Days + Juneteenth Observed - Paid Volunteer Time Off - Charitable Contribution Match - Monthly Wellness or Home Office Reimbursement - Access to Employee Assistance Program (mental health platform) - Parental Leave - Retirement Plan with match/contribution Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team! Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

Analytics Engineer Location: New York City, New York Analytics Engineer (Hybrid NY) Overview: The Analytics Engineer at Weedmaps will be a key technical contributor within our Data organization, supporting various aspects of the business. In this role, you will build and maintain data pipelines and analytics frameworks to answer business questions and enable root cause problem solving. You will collaborate extensively with business, engineering, product, and data science teams to drive data-informed decision making across our customer acquisition and retention strategies. The ideal candidate combines strong technical skills with e-commerce domain knowledge and can translate business requirements into scalable data solutions that deliver measurable impact on our growth metrics. As part of our Data organization, you will develop robust analytics systems that address unique challenges in our marketplace, including user journey exploration, customer and product analytics. The explosive growth of the cannabis industry requires increasingly sophisticated analytics solutions that can scale with our business and comply with complex regulatory requirements. The impact you'll make: - Design fault-tolerant dbt models to synthesize data from multiple sources into mart tables - Design and implement Sigma dashboards and Streamplit apps to provide clear insights into performance - Automate regular reporting workflows to reduce manual effort and increase data consistency - Create self-service tools that empower business teams to access insights independently - Analyze experiment results to identify opportunities for improving ROI - Develop and maintain data pipelines using SQL within modern data stack tools (Snowflake, DBT, Metaplane) - Create and document data models that transform raw data into reliable, business-ready datasets with accompanying dictionaries and testing - Implement data quality checks and testing frameworks to ensure the accuracy and reliability of analytics What you've accomplished: - 4+ years of experience in data engineering, or similar technical role - 2+ years of experience in analytics engineering - Experience with modern data warehouse platforms, preferably Snowflake - Expertise in SQL and data modeling with dbt - Proficiency in Python Bonus points: - Experience with business intelligence tools, preferably Sigma - E-commerce or marketplace business experience preferred - Regulated industry experience - nice to have The base pay range for this position is $170,000.00 - $193,363.00 per year 2026 US Benefits for Full Time, Regular Employees: - Physical Health (Medical, Dental & Vision) - 100% employer-paid premium for employees - Up to 80% coverage for dependents - Company HSA contribution with the High Deductible Health Plan - 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) - Basic Life, Voluntary Life and AD&D Insurance options - Supplemental, voluntary benefits - Student Loan Repayment/529 Education Savings with a monthly company contribution - FSA (Medical, Dependent, Transit and Parking) - Voluntary Life and AD&D Insurance - Critical Illness Insurance - Accident Insurance - Short- and Long-term Disability Insurance - Pet Insurance - Identity theft protection - Legal access to a network of attorneys - PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) - Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry’s future; ready to roll with us? See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

• Responsible for managing business critical data engineering processes and data architecture solutions in order to enable analytical and reporting solutions • Responsible for analyzing and preparing the data needed for data science based outcomes • Managing and maintaining metadata data structures • Deliver results in a timely manner using agile methodologies • Design, build, and maintain scalable ETL/ELT data pipelines integrating data from asset management, logistics, ticketing, ERP, and procurement systems • Develop and manage data models and integrations for Digital Workplace supply chain domains • Ensure data quality and governance by implementing validation rules • Own core dashboards and reports for PC and accessory volumes • Analyze trends and performance to identify bottlenecks, risks, and improvement opportunities • Partner with cross-functional teams to translate business needs into data solutions • Automate and optimize data and reporting processes