\nAt Fullscript, we’re not just changing healthcare—we’re making it whole.\n\n\nWe help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.\n\n\nHealthcare today is disconnected. We’re fixing that. Fullscript makes it easier for practitioners to treat the whole person, not just symptoms, so patients get the support they need—when they need it.\n\n\nWe’re building a better way—one where healthcare is connected, complete, and built for impact.\n\n\n\n\n📊 BUILD DATA. DRIVE INSIGHTS. IMPACT HEALTHCARE.\n\n\nWe’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration,, and building dynamic experiences for our customers. We are investing heavily in the coming years to make data more accessible to our internal teams and to leverage it within our application to provide our practitioners and patients with data-driven tools and experiences.\n\n\nAs the Senior Data Analytics Engineer, you will be building the data platform that powers our decision-making and growth. This same platform also provides key insights about our practitioners and their patients through analytics and advanced metrics.\n\n\n\nWhat you'll do: \n* Work cross-functionally to help maintain, build and deploy a Commercial data warehouse to serve reporting, analytical, and self-service needs for key Fullscript stakeholders\n* Work with your leader and team to collaborate on initiatives across functions such as Analytics, Commercial, and RevOps to understand and improve their data\n* Write data transformation code in ELT pipelines to integrate that data into our data warehouse for consumption by the reporting and data analytics functions\n* Mentor and provide technical guidance to junior members of the data engineering team\n* Work with other data engineers to create and populate the data models for downstream consumption, and write the necessary tests to ensure data quality\n* Apply advanced data engineering techniques to optimize performance and scalability of data pipelines\n* Leverage AI and machine learning to build models that are responsive to business requirements and enable the delivery of streamlined, dynamic experiences for customers\n* Apply version control, testing and continuous integration (CI) in the data transformation code\n* Create and maintain data documentation and definitions\n\n\n\nWhat you bring to the table: \n* 5+ years in Data Analytics and/or Data Engineering position as part of ETL/ELT process or data insights development\n* Strong proficiency with SQL and experience using Python for data transformation\n* Experience working with dbt (data build tool)\n* Experience working with Cloud Data warehouses like Snowflake, BigQuery, Redshift and RDBMS (PostgreSQL, MySQL)\n* Hands-on experience with data modeling, schema design, and optimization techniques\n* Proven track record of implementing and maintaining data transformation pipelines using tools like dbt (data build tool), Argo, Airflow, or similar workflow orchestration tools\n* Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies\n* Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders\n* Continuous learning mindset with a keen interest in exploring new technologies and methodologies in the data engineering space\n\n\n\nBonus qualifications: \n* Experience with DevOps practices and tools for automated deployment and infrastructure management\n* Practical experience building and deploying data models that leverage AI and machine learning (using Azure, AWS, Snowflake, etc.)\n* Familiarity with machine learning concepts and frameworks for implementing predictive analytics solutions\n* Previous experience in a leadership or mentorship role within a data engineering team\n* Write us a cover letter explaining why data engineering is of special interest to you\n\n\n\nWhat we can offer you:\n* Generous PTO and competitive pay \n* Fullscript’s RRSP match program for financial health \n* Flexible benefits package and workplace wellness program\n* Training budget and company-wide learning initiatives \n* Discount on Fullscript catalog of products \n* Ability to work Wherever You Work Well*\n\n\n\n\n\n\nWhy Fullscript?\n\n\nGreat work happens when people are supported, challenged, and inspired. Here, you’ll be part of a team that:\n\n\n⬦ Values innovation—we push boundaries and always look for better ways.\n⬦ Supports growth—through learning, mentorship, and meaningful work.\n⬦ Cares about balance—with flexible work options and time off when you need it.\n\n\n📌 Apply now—let’s build the future of healthcare, together.\n\n\nFullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request—email [email protected] for support.\n\n\nBefore joining the team, all candidates who receive and accept an offer will complete a background check.\n\n\n🚀 MORE INFO: www.fullscript.com | www.rupahealth.com | Follow us on social media @fullscriptHQ\n🔥 IN THE NEWS: Fullscript acquires Rupa Health\n📺Let’s make healthcare whole \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n $67,500 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAbout Super.com\n\n\nWe started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.  \n\n\nWe are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.\n\n\nAbout this role\nAs a staff full-stack engineer you will be one of the most senior technical contributors on our teams. You will tackle the most difficult technical challenges the team faces spanning both frontend and backend web development work. This will include building features for our fintech, travel, eCommerce, and/or superapp products along with the engines and frameworks that power them. You will predominantly work with React on the frontend, and a combination of Python and Node microservices on the backend. Other technologies you’ll work with include Gitlab, AWS, Postgres, Redis, Datadog, Amplitude, and Snowflake. You will report to an Engineering Manager. From a Senior Engineer you may grow on the IC track into a Staff Software Engineer or on the people track into an Engineering Manager.\n\n\n\nAbout You\n* We’re looking for highly-motivated self-starters who share our excitement for growth and impact\n* Willing and able to work with both backend and frontend parts of the stack, though the proportion of time spent doing each will be influenced by the candidate’s interests\n* Interested in building products in a startup environment: moving quickly, being data-driven, wearing multiple hats, continuously learning\n* Strong communicator, and able to thrive on an agile team, contributing to: standups, sprint ceremonies, and quarterly project planning, and working with various internal and external stakeholders\n* Highly motivated, have a strong sense of ownership, and are able to drive complex projects end-to-end\n* 8+ years of professional working experience in software development, including 5+ years of Python or Node on the backend, and 5+ years working with a modern frontend JS framework (ex. React, Vue, Angular)\n* Experience working with web services / modern web technologies and comfortable tackling system design challenges\n* Have mentored more junior developers\n\n\n\nChallenges you'll solve\n* Ship projects end-to-end in a fast-paced, iterative environment\n* Have the opportunity to very meaningfully propel the business forward, and experience the impact of your work on the company’s business metrics and user experience\n* Own features, services, caches, and databases, including deployment, monitoring, debugging, and testing\n* Uphold standards for quality by performing code reviews\n* Mentor junior developers\n* Participate in cross-functional team projects, work with external stakeholders, and help shape the roadmap for future team projects\n* Be data-driven and close to the customer, conducting experiments for nearly everything you launch\n\n\n\nBonus Points\n* Working experience across a breadth of our infrastructure, languages and stacks (React, Python, Node, Gitlab, AWS, Docker, Postgres, Redis, Datadog, Amplitude, and Snowflake)\n* SQL / analytics know-how, and experience with devops concepts\n* Experience in a startup environment\n* Worked closely with business stakeholders\n* Experience writing end-to-end/browser-based tests\n\n\n\nWe've got you covered!\n* Competitive salary packages, equity options, great benefits from day one, wellness budgets, as well as personal and team-level development budgets  \n* We are remote first – you have the flexibility to work from around the world and the hours that make sense for you– so that you can do your best work while living life on your own terms \n* Other perks include: unlimited PTO, recharge days, travel discounts on SuperTravel, Weekly UberEats credit\n* We welcome new family additions with generous parental leave and a flexible return-to-work plan\n* This is just scratching the surface – check out our careers site for a more detailed overview of our perks & benefits\n\n\n\n\n\n$125,000 - $210,000 a yearAs part of our compensation philosophy at Super.com we benchmark roles based on geographic location. The base salary range for this position is $125,000 CDN - $210,000 CDN.\n\nWe Believe in Equal Opportunity \n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. \n\n\nAccommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, React, Python, DevOps, Node, Senior, Junior, Engineer and Backend jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nVancouver

\nWe're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving over a million Hims & Hers users.\nYou Will:\n\n\n* Architect and develop data pipelines to optimize performance, quality, and scalability\n\n* Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources\n\n* Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake\n\n* Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance\n\n* Orchestrate sophisticated data flow patterns across a variety of disparate tooling\n\n* Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics\n\n* Partner with the rest of the Data Platform team to set best practices and ensure the execution of them\n\n* Partner with the analytics engineers to ensure the performance and reliability of our data sources\n\n* Partner with machine learning engineers to deploy predictive models\n\n* Partner with the legal and security teams to build frameworks and implement data compliance and security policies\n\n* Partner with DevOps to build IaC and CI/CD pipelines\n\n* Support code versioning and code deployments for data Pipelines\n\n\n\nYou Have:\n\n\n* 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages\n\n* Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed\n\n* Demonstrated experience writing complex, highly optimized SQL queries across large data sets\n\n* Experience with cloud technologies such as AWS and/or Google Cloud Platform\n\n* Experience with Databricks platform\n\n* Experience with IaC technologies like Terraform\n\n* Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres\n\n* Experience building event streaming pipelines using Kafka/Confluent Kafka\n\n* Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker\n\n* Experience with containers and container orchestration tools such as Docker or Kubernetes\n\n* Experience with Machine Learning & MLOps\n\n* Experience with CI/CD (Jenkins, GitHub Actions, Circle CI)\n\n* Thorough understanding of SDLC and Agile frameworks\n\n* Project management skills and a demonstrated ability to work autonomously\n\n\n\nNice to Have:\n\n\n* Experience building data models using dbt\n\n* Experience with Javascript and event tracking tools like GTM\n\n* Experience designing and developing systems with desired SLAs and data quality metrics\n\n* Experience with microservice architecture\n\n* Experience architecting an enterprise-grade data platform\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Testing, DevOps, JavaScript, Cloud, API, Senior, Legal and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, NoSQL, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nEmployment Visa sponsorship is offered for this position.\n\n\nTeam Description: \nKitware’s Data and Analytics team helps internal and external customers deliver their next data and AI workflows with our expertise in emerging web and software infrastructure technologies. The Data and Analytics team fosters a collaborative atmosphere where we pride ourselves on the proactive exchange of ideas. \n\n\nAbout the Projects:\nKitware collaborates on a multitude of basic and applied research and development aimed to improve critical issues in today's world in order to advance health care, improve national security, combat human trafficking, and understand climate change. Our collaborators include top universities from around the world, national research labs, medical device manufacturers, car manufacturers, financial institutions, government agencies, and many others. The projects range from extending our open source libraries and applications to developing proprietary domain-specific vertical applications for a wide array of platforms including web and mobile devices. The Data and Analytics team focuses on building Python and JavaScript-based web applications that provide solutions for data management, analysis, and visualization.\n\n\nSome Tools We Use:\nDjango - Postgres - Celery - Vue.js - GitHub\n\n\n\nIn This Position You Will:\n* Collaborate with our distributed research and development engineering team as well as external collaborators and customers to design and implement new features and fix bugs for our platforms and web applications.\n* Contribute to the overall architecture design of web applications.\n* Maintain scalability, code integrity, and usability of applications.\n* Participate in our team’s software quality assurance practices.\n* Work concurrently on multiple projects for a variety of customers.\n* Be an excellent communicator with both local and remote teammates.\n* Translate scientific requirements of collaborators into technical and architectural application requirements.\n\n\n\nRequired Qualifications:\n* Master’s degree or higher in Computer Science or related area, plus 5-8 years experience in web development, preferably in a technical/software industry, or equivalent amount of education and experience.\n* Back-end service programming in Python preferably with Django, Flask, FastAPI, or similar.\n* Experience with Database Management Systems (DBMS).\n* Strong knowledge of the modern browser programming environment, including HTML, CSS, and JavaScript/TypeScript.\n* Proficiency with modern front-end application frameworks such as React or Vue.js.\n* Knowledge of HTTP and related standards such as REST.\n* Ability to build secure web applications which protect against common attack vectors.\n* Experience with software quality process tools and methodologies, such as Git, continuous integration, and automated testing.\n\n\n\nPreferred Qualifications: \n* Experience designing and implementing greenfield software solutions, based on gathered business requirements.\n* Experience with cloud computing services, particularly AWS and Heroku.\n* Experience using DevOps methodologies and related tools, such as Terraform, Ansible, Kubernetes, and Docker.\n* Experience in building well-crafted user interfaces, including interactive data visualizations.\n\n\n\n\n$105,000 - $125,000 a year\n\nCompany Description:\nKitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  \n\n\nKitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.  \n\n\nAdditional Information:\nOur team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. \n\n\nFor more information on our benefit offerings please visit: https://www.kitware.com/careers/.\n\n\nKitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. \n\n\nAny unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.\n\n\nIf you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process.   \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, React, Python, DevOps, Education, Cloud, Mobile and Senior jobs that are similar:\n\n $52,500 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote, USA