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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has direct impact on customer security, company risk posture, and regulatory compliance. As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You’ll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week . At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Design and deploy fraud detection models to protect Robinhood users and assets in real time Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability Partner with engineering and product teams to implement safeguards and user-facing features Guide experimentation strategy and contribute to long-term fraud prevention roadmap What you bring 5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing Excellent communication skills and ability to influence decision-making across technical and non-technical audiences A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, empowering teams to learn quickly and make confident decisions. The team’s work has a direct impact on product velocity and business outcomes, driving a culture of data-informed innovation across Robinhood. As a Data Scientist on the Experimentation Platform team, you will play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data teams to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. This is a high-impact role with the opportunity to define how we learn and iterate across our products. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Evaluate current experimentation practices across Robinhood and identify areas for improvement. Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques. Partner with engineering to build scalable tools and infrastructure for experimentation. Develop and evangelize best practices for experimentation across cross-functional teams. Consult with data science and product teams to ensure rigorous experimental design and interpretation. Contribute to roadmap planning by identifying high-leverage opportunities for platform development. What you bring Master’s or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences). 3+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment. Deep expertise in statistical methods such as multivariate testing, adaptive experimentation, bayesian inference and machine learning techniques. Proficiency in Python or R for data analysis and experimentation workflows. Strong communication skills, a collaborative mindset, and a proactive approach to problem-solving. Experience contributing to or building experimentation tooling is a plus. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come. The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. What you’ll do Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow. Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake. Partner with upstream engineering teams to enhance data generation patterns. Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models. Ideate and contribute to shared data engineering tooling and standards. Define and promote data engineering best practices across the company. What you bring 5+ years of professional experience building end-to-end data pipelines Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation). Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc) Strong SQL (Presto, Spark SQL, etc) skills. Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms) Expert collaborator with the ability to democratize data through actionable insights and solutions. What we offer Market competitive and pay equity-focused compensation structure 100% paid health insurance for employees with 90% coverage for dependents Annual lifestyle wallet for personal wellness, learning and development, and more! Lifetime maximum benefit for family forming and fertility benefits Dedicated mental health support for employees and eligible dependents Generous time away including company holidays, paid time off, sick time, parental leave, and more! Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $198,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $174,600 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $154,800 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE . Position Overview We are seeking a Data Scientist – Analytics to join our team and help bridge the gap between engineering and business functions at AppLovin. In this role, you will work with petabyte-scale datasets across our ad and app ecosystem , analyzing high-velocity data streams generated by tens of millions of daily active users . You will support the development of analytics tools, monitoring systems, and reporting pipelines that improve visibility into product health, business performance, and model outcomes. You’ll partner closely with research scientists, engineers, and business stakeholders to uncover insights, diagnose issues, and identify opportunities for growth. This role is ideal for someone early in their data science career who enjoys solving ambiguous problems, has foundational statistical and modeling knowledge, and is excited to build impactful tools used across the organization. Key Responsibilities Analytics, Monitoring & Tooling Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance. Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis.. Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends. Insights Discovery & Model Evaluation Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities. Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives. Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health. Experimentation & Measurement Assist in designing A/B tests, computing key metrics, and interpreting results. Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making. Cross-Functional Collaboration Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics. Work with product and business teams to understand analytical needs and translate them into actionable solutions. Minimum Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline. Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis 0–3 years of experience in data analytics or data science (internships or projects count).Proficiency with SQL and at least one analytical programming language (Python preferred). Ability to work with large datasets and translate findings into actionable recommendations. Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences. Curious, proactive mindset with a desire to learn quickly and contribute meaningfully. Preferred Qualifications Master’s degree in Data Science or a related quantitative discipline. Experience with BI tools such as Looker, Tableau, Superset, Metabase, or similar. Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake) and workflow orchestration tools such as Airflow. Exposure to A/B testing, experiment design, or statistical evaluation. Understanding of digital advertising, performance marketing metrics, or online marketplace dynamics. Experience collaborating with cross-functional teams (engineering, product, business). What You’ll Gain Hands-on experience with real production analytics, monitoring systems, and model evaluation. Opportunities to build foundational infrastructure that scales across teams. Exposure to high-scale data challenges and real-world ML performance considerations. A meaningful role in driving insights that inform product and business strategy. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. CA Base Pay Range $124,000 — $186,000 USD AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com. AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

Our Mission & Culture At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact. We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights. This role offers a unique opportunity to join a data engineering team to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States. What You'll Own and Deliver (Responsibilities) As a core member of our data engineering team, you will design, build, and scale the services that power Xealth’s Analytics and Reporting Capabilities. You’ll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines. Data Modeling: Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads. Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks. Pipeline Design & Orchestration: Design, build, and optimize high-volume, real-time Streaming Data Pipelines utilizing PySpark and Databricks environments. Scalability & Maintenance: Maintain and scale large Data Lake Pipelines, ensuring high performance and cost-efficiency. Unit testing & Quality Assurance: Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability. Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes. Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team. Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery. The Expertise You'll Bring (Requirements) We’re looking for a data engineer with strong computer science fundamentals. Someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare. Core Technical Competencies: Data Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems. CS Fundamentals: Deep understanding of algorithms and data structures, with a specific focus on distributed computing principles (concurrency, partitioning, shuffling) necessary for processing large-scale datasets. Optimization & Troubleshooting: Proficient in diagnosing complex failures in distributed processing jobs (e.g., Spark executor errors, memory leaks, data skew) using logs, distributed tracing, and performance metrics. Modern SQL and Non-SQL Database Design: Deep practical knowledge of open table formats, such as Delta Lake. Proficiency with common big data file formats, including Apache Parquet and Apache Avro. Infrastructure as Code (IaC): Experience implementing IaC principles and tools for the automated deployment and management of data pipelines. API & Integration: Hands-on experience designing robust data ingestion frameworks via RESTful APIs and building event-driven architectures for real-time data flow. Cloud & Distributed Systems: Experience designing and scaling cloud-native data platforms and orchestrating data workloads using AWS and Kubernetes. Highly Valued Experience (Nice to Have) Security & Governance: Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance. Real Time Stream Processing: Expertise building streaming data pipelines, leveraging stream processors such as Apache Kafka and Apache Flink Observability: Experience implementing and utilizing Data Observability tools and practices to monitor data quality, lineage, and pipeline health. Visualization: Experience building dashboards and visualizations to communicate data insights effectively About Xealth Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation. Xealth has been named to the World's Best Digital Health Companies list by Newsweek, awarded gold in the Digital Health awards in 2024 and twice in 2023. In 2023 Xealth was also listed as one of BuiltIn's Best Places to Work, and one of Fierce Healthcare's Fierce 15 of 2023. We’re looking for a data engineer with strong computer science fundamentals — someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare. Compensation & Benefits: Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The compensation range for this position is $155,000 - $225,000 + bonus, depending on geographic market. Paid parental leave. Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs. Xealth provides your laptop and offers a home office stipend. Generous learning & development opportunities for you to grow your skills and career. 401k Match: Xealth offers a dollar-for-dollar match up to 3%. Flexible time off & 10 standardized holidays. $500 yearly fitness stipend to spend on staying active. Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Staff Data Analyst (Hybrid) Overview: As a Staff Data Analyst at Weedmaps, you will shape how the business understands and acts on data insights. You will be a key thought leader helping senior leadership from across the business turn their objectives into data strategies that drive multi-million dollar decisions. Rather than waiting for requests, you will proactively identify opportunities, challenge assumptions with data, and publish insights to the broader cannabis industry. Your strong proficiency in SQL, combined with your resourceful nature, will allow you to transform large, messy data into tangible recommendations for the business. You will also help us migrate from Tableau to a new BI tool, creating dashboards and reports that senior executives will use to run the business. You will serve as a mentor to more junior colleagues and help improve the quality and sophistication of analysis and visualization. You will help build reusable tools that other analysts can build on, being a force multiplier for the entire team. This is a high-visibility role combining execution with strategic influence. The impact you'll make: Create high quality, scalable analytic and data products, dashboards and reports and Streamlit Partner with executives from Product, Marketing, Revenue, and other as their data strategist, becoming a trusted thought partner helping them achieve their objectives with data Lead the migration from Tableau to a new BI solution, ensuring minimal business disruption during the process Design and build the executive dashboards that run the business, including weekly operational metrics, board-level KPIs, and strategic planning tools Publish external thought leadership on cannabis market trends in collaboration with our content team Define, build, and document new metrics to capture business requirements in dbt and Snowflake Translate ambiguous business requests into actionable plans for multiple analysts to execute against Effectively communicate complex technical themes to non-technical audiences Turn SQL queries into repeatable performant models in dbt Cloud without assistance from other developers Guide and mentor other analysts on the team and across the organization, including code reviews, pair coding sessions, and architectural assistance Champion data quality and analytical rigor and set the standard for what good looks like What you've accomplished: 8+ years working in a data analytics, product analytics or business intelligence role, with a proven track record of influencing executive decision making through data storytelling and strategic recommendations Extensive experience performing complex analyses on large user-level datasets and translating insights into strategic business recommendations across a variety of domains Experience working collaboratively with senior leadership across multiple areas of the business History of proactively identifying areas of opportunity without waiting for the business to ask, including seeking evidence and building business cases for the value of these ideas Expert SQL skills with demonstrated ability to uncover new insights from complex, messy datasets (10B+ rows) Deep understanding of advanced analytics and data visualization Hands-on experience with building and maintaining production-level dashboards in BI tools like Looker and Sigma Solid understanding of dbt cloud Extensive hands-on experience with version control platforms and processes Familiarity with python and Streamlit Hands-on experience using AI in your work to drive greater impact Bonus points: Experience with multiple BI platforms, preferably Sigma Prior experience leading BI platform migrations Experience in fast-paced, high-growth environments where you had to balance scrappiness with scalability Experience presenting to C-suite audiences or publishing external thought leadership Strong python skills Experience in a two-sided marketplace or e-commerce environment Knowledge of the cannabis industry and marketplace The base pay range for this position is $142,238.00- $150,000.00 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 Up to $2,000 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 & AD&D - employer paid 1x salary up to $250,000 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.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: Our recruiters will always communicate with candidates through an @ weedmaps.com email address. CORRECT: jlebowski@weedmaps.com INCORRECT: jlebowski@gmail.com Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps. If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us! 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.

Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team! Position Summary: As a Customer Success Associate (CSA) within Rest of World Banking, you are responsible for optimizing and enriching the customer experience through proactive engagement strategies for your assigned portfolio of Customers. Our goal is to protect and grow the revenue in our existing customer portfolio. As a CSA, you will serve as the main point of contact for customers, helping them achieve their goals, resolve challenges, and drive engagement. You will lead our customers to their desired outcomes and demonstrate the significance of the strategic partnership with Bottomline Technologies. Through a consultative approach, you will proactively engage and enable the customer throughout the journey to ensure success and delight. You will work cross functionality to ensure teams are executing to enable customer success. Working closely with Sales, you will identify opportunities to expand business by positioning and recommending additional products, solutions and services that will maximize business value for the Customer as well as reviewing contracts and looking for opportunities to expand the current value. You will measure and monitor the adoption and health of our customers throughout the customer journey and you will be the primary engagement point with the customer for monthly reviews, as well as resolving challenges and issues. You are at the forefront of activities that will continuously drive increased customer delight and are ultimately responsible for the retention and significant growth for your assigned Customers. This role is remote-friendly; however, we have a preference for candidates located in the Eastern time zone to support team collaboration and alignment with core working hours. How you'll contribute: Customer Management & Retention Develop long-term relationships with customers, understanding their business needs. Protect the revenue and maximize renewal opportunities. Act as a strategic advisor, identifying opportunities for upselling and cross-selling. Monitor customer health scores and proactively address potential issues. Communication – Voice of the Customer Be the internal voice to raise awareness if there is risk and drive the teams to mitigate it. Outstanding verbal and written communication skills, with the ability to present to a diverse audience, both internally and externally Support & Problem Solving Serve as the main point of contact for customer inquiries and concerns. Work cross-functionally with sales, support, and product teams to resolve customer issues. Performance Tracking & Reporting Monitor customer engagement metrics, churn rates, and overall satisfaction. Prepare reports and insights on customer success initiatives. If you have the attributes, skills, and experience listed below, we want to hear from you! 3-5+ SaaS Customer Success or Account Management experience. Demonstrated commercial mindset, with an understanding of “selling moments”. Process orientation, with a keen focus on Customer goal achievement KPI’s. Experience of using data to drive growth and retention campaigns We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.

AT A GLANCE RVO Health is looking for an experienced data analytics professional to join our Weight and Wellness Data Analytics team. In this role you will manage high-priority data projects and shape the overall data strategy for our different weight and wellness businesses. You will be responsible for scoping technical projects, building relationships with stakeholders to best support the business, manipulating and analyzing data, and mentoring other data analysts within the organization. The ideal candidate will have the skills to support data projects end-to-end, inclusive of tracking, architecture, modeling, visualization, reporting, and doing in-depth analysis to inform business strategy. Beyond their technical proficiency, they will also be organized, quick and eager learners, excellent communicators, independent problem-solvers, and phenomenal team players. Where You'll Be To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees to work from our Minneapolis office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. 11000 Optum Cir Eden Prairie, MN 55344 What You’ll Do Manage business-critical technical projects end-to-end. Conduct analyses, build scalable analytics infrastructure and dashboards, create reports, and enable our business partners and clients to best make decisions using our data. Partner with business leaders to work effectively across multiple technical teams to solve problems. You’ll play a pivotal role in building a positive culture across different areas of the organization. Autonomously leverage an advanced analytical toolkit, executing complex analyses, visualizations and storytelling. Amplify your influence by driving development of junior team members through mentorship and coaching on both technical skills and strategic business skills. Interact with senior leadership to provide data driven recommendations to executives to help shape Weight and Wellness strategy. What We’re Looking For Strong interpersonal and communication skills, with experience working well with business stakeholders Demonstrated ability to synthesize data into actionable insights and communicate recommendations to leadership Experience with visualization tools such as Looker (strongly preferred), Tableau or PowerBI to build dynamic/scalable dashboards and reports Strong proficiency in both SQL and Python; proficiency with Snowflake and DBT specifically is a plus. Eagerness to learn and become an expert source of knowledge on a particular subject - will be a valuable asset to bring into any conversation because they have a strong pulse on how many aspects of the organization work. Excited and involved in the growth of those around them and motivated to make them great. Invested in the strategic vision of more than just the analytic function. They can methodically understand business context and can clearly articulate the “why” behind any proposed solutions to the data team. Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements. Starting Salary: $100,000 - $135,000* *Note actual salary is based on qualifications and experience Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Pharmacy Benefits Income Protection Plans Pet Services Plans Mental Health Support Wellness Coaching HSA- Health Savings Account Commuter Benefits Gym & Fitness Center Discount Program Who We Are: Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world. RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com. We do not provide visa sponsorship for this role at this time. #LI-Hybrid RVO Health Privacy Policy: https://rvohealth.com/legal/privacy

Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team! The Role We are looking for a Customer Support Specialist to win and grow with us in our Portsmouth, NH office Hybrid (1 day per week).This position requires a schedule of 11:00 am – 8:00 pm EST Monday – Friday. Candidates for this position must be authorized to work in the United States on a Full-Time/Permanent basis for any employer without restriction. Visa Sponsorships or Transfers will not be provided for this position. As a Customer Support Specialist , you will be supporting Bottomline customers with complex issues, questions, and projects. Daily tasks may include, but are not limited to, communication with the customer (via phone, email, web), verifying defects and issues found within the Paymode, working with the team to find alternative solutions and workarounds to issues that are found, being the first point of contact for questions, and other necessary services to ensure a high level of customer satisfaction. How you’ll contribute: - Total accountability for a positive customer experience - Achieves and maintains proficiency with the capabilities of Bottomline's software as a service application as well as corresponding system and software changes - Remaining available to receive calls - at desk and logged in to phone system (handles average 10-20 inbound calls, 15 emails daily) - Documents call transactions, processes and methodologies used to diagnose and resolve the customer's issues within the appropriate CRM tool - Manage and maintain timelines for issue resolution - Has ability to develop and maintain customer relationships - Documents software defects and works with internal departments to escalate or resolve - Assists with identifying root cause of problems; manages and resolves issues in a constantly changing environment - Focus on both customer delight and continuous seeking out of new opportunities to expand customer relationships - Active participation and adherence to Bottomline’s C1 Customer Service program - Outline specific duties this position will be responsible for, keep in mind the level of responsibility in relation to the level of the position If you have the attributes, skills, and experience listed below, we want to hear from you! − Customer service and communication skills including business writing - Software and environment trouble-shooting and diagnostic skills - Solid understanding of basic computer functions and ability to teach/train users - Experience supporting software as a service - Proven ability to communicate effectively via printed material and on the telephone - Strong oral and written communications skills - Excellent organizational, problem solving and communications skills - The ability to work independently and balance multiple priorities - Team player, resourceful, flexible Preferred Skills: - Previous professional customer and/or technical support experience - Previous Salesforce experience preferred (Not Required) Education and Experience: - An Associate's or Bachelor's degree in Communications, Business Administration, or similar course of study is preferred (Not Required) We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.