\nWho We Are \n\nRefleXion elevates radiopharmaceuticals from drugs that help identify cancer to guides that actively direct external beam radiotherapy by leveraging tumor biology. Designated an FDA Breakthrough Device for lung tumors, RefleXion's SCINTIX® biology-guided radiotherapy aims to overcome long-standing barriers preventing definitive radiotherapy for metastatic disease. FDA-cleared SCINTIX therapy automates targeting and motion management for use in FDG-guided treatment of lung and bone tumors that arise from primary lung and bone cancers or are metastases from other primary cancers. In strategic collaborations with industry-leading radiopharmaceutical companies, RefleXion is co-developing and co-commercializing disease-specific radiotracers for treating late-stage cancers.\n\nFind out more about RefleXion and SCINTIX therapy at reflexion.com.\n\nStay up to date with RefleXion by following our channels here:\n\nLinkedIn, X (formerly Twitter), Instagram, Facebook, and YouTube.\n\nAbout This Role \n\nThe Senior Technical / Product Support Engineer will provide first-level response to customers and Field Service Engineers (FSEs) in support of the clinical use of RefleXion’s revolutionary medical equipment. The Senior Technical / Product Support Engineer will utilize technical knowledge about the hardware and software applications to effectively troubleshoot and resolve issues or escalate and dispatch to the appropriate resources. As the front-line response to customers, the Senior Technical / Product Support Engineer has the highest level of professional representation and commitment to customer success.\n\nWhat You Will Be Doing \n\n\n* Provide direct customer support for RefleXion’s custom system hardware and software used in a clinical treatment setting\n\n* Provide exceptional response to customer issues by ensuring prompt resolution or follow-up actions immediately from the initial customer phone call\n\n* Utilize diagnostic tools and knowledge management system to troubleshoot and resolve reported hardware and software issues\n\n* Understand and perform log analysis to troubleshoot and determine root cause\n\n* Ask customers targeted questions to quickly understand the root of the problem and talk them through a series of actions until they’ve solved the issue\n\n* Follow standard procedures for escalating to next-level support or dispatching Field Service resources as appropriate\n\n* Provide remote support to Field Service Engineers during installations, maintenance or repair activities\n\n* Provide support for in-house training systems\n\n* Ensure all service calls and activities are documented and transacted appropriately in RefleXion’s customer relationship management (CRM) application (Salesforce)\n\n* Monitor the installed base system performance and direct proactive service as required to prevent system downtime\n\n* Contribute to the development and continuous improvement of effective and efficient support service activities\n\n* Provide feedback to Engineering for service-related product improvements\n\n* Travel to customer sites to assist local FSEs for complex issue escalations/resolution\n\n* Work with Engineering to adapt relevant manufacturing rework instructions for use in the field (write Technical Service Bulletins)\n\n* Develop and deliver training materials and programs for other TSEs and FSEs\n\n* Document experiences for use in RefleXion’s Knowledgebase system\n\n* Act as a leader within the Tech Support and Field Service organization. Good influence on new TS and FS team members and act as a mentor when needed\n\n* Other duties as assigned\n\n\n\n\nWhere You Will Do This Job  \n\n\n* Remote - This position will allow the successful candidate to work a primarily remote schedule. They must be based in the Eastern US and and will be required to travel to RefleXion customers and come into the RefleXion office in Hayward, CA for training, meetings and other events as needed.\n\n\n\n\nWhat We Need \n\n\n* Bachelors of Science (BS) in biomedical, electrical, mechanical engineering or closely related discipline or commensurate direct technical support experience\n\n* 8 years of technical support or field service experience with complex equipment\n\n* 3 years of technical support engineer experience with medical device\n\n* Deep understanding of healthcare IT infrastructure, including networking, connectivity, and compliance with industry standards such as HIPAA\n\n* Ability to travel up to 33% to support customers in the field as needed; more travel within first year to Corporate offices in Hayward, CA for training \n\n* Willing and able to be available by cell phone evenings and weekends if needed\n\n* Experience with reading and interpreting complex schematics for use in troubleshooting\n\n* Outstanding communication skills (verbal and written)\n\n* Excellent customer support skills\n\n* Proven ability to diagnose and resolve technical problems (both hardware and software) on complex electro-mechanical devices that use highly sophisticated software\n\n* Experience with use of data analytics for predictive maintenance and error detection, and the use of system log files for diagnosis and performance analysis\n\n* Ability to learn new software tools quickly\n\n* Ability to analyze log files for diagnosing system issues\n\n* Experience with CRM platforms required\n\n* High level of attention to detail and accuracy\n\n* Critical thinking skills and proactive problem-solver\n\n* Skilled at building strong relationships with customers through effective communication, professionalism, and resolution of issues\n\n\n\n\nWays To Stand Out \n\n\n* Technical support or field service experience with medical LINACs or diagnostic equipment (CT or MRI scanners) preferred\n\n* Experience in a compliance-oriented and highly regulated environment; FDA Quality System Regulation (QSR) preferred\n\n* Experience with Salesforce Field Service Lightning (CRM) desirable\n\n\n\n\nWhat You Will Love About Working with Us!\n\n\n* The opportunity to work with a passionate, driven team in a pre-IPO start-up environment\n\n* Flexible work location and schedule available for many positions - see above for specific work location for this position\n\n* Competitive compensation and Pre–IPO stock option packages\n\n* Medical (both HMO and PPO options), Dental and Vision\n\n* Health Savings Account (HSA), Flexible Spending Account (FSA), Dependent Care Flexible Spending Account (DCFSA)\n\n* Pre-tax Commuter Benefits\n\n* Employee Assistance Program (EAP)\n\n* 401(k)\n\n* 3 Weeks/Year PTO Accrual rate to start and 12 Paid Company Holidays\n\n* Employer paid Life Insurance, short-term and long-term disability\n\n* RefleXion Benefit Hub –Company exclusive discounts and deals on a variety of sites and items\n\n* Weekly catered on-site lunches as well as kitchens filled with a variety of healthy and delicious food and drinks – including an espresso machine and panini stations!\n\n* Employee Events – Variety of Workshops, Lunch ‘n Learns, Financial Wellness education, Regular “Coffee Chats” with Executive Leadership, Scavenger Hunts, Company Milestone celebrations and more!\n\n* Electric car charging stations on site\n\n\n\n\nThe pay range for this role is $100,000 - $150,000 annually.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include bonus, stock, benefits and/or other applicable variable compensation.\n\nValues and Diversity \n\nRefleXion is an equal opportunity employer. All aspects of employment including the decision to hire will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, disability/medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Travel, Senior and Engineer jobs that are similar:\n\n $55,000 — $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\nPhiladelphia, Pennsylvania, United States

\nThe Wikimedia Foundation is seeking an experienced executive to serve as VP, Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. \n\nReporting to the Chief Technology Officer, the VP, Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.\n\nThis role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.\n\nWorking closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.\n\nSome examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship.  \n\nYou are responsible for:\n\n\n* Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)\n\n* Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure\n\n* Creating scalable engineering management processes and prioritization rubrics\n\n* Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.\n\n* Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.\n\n* Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments\n\n* Contributing to our culture by managing, coaching and developing our engineering and data teams\n\n* Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation\n\n* Managing up to 5 direct reports with a total team size of 20\n\n\n\n\nSkills and Experience:\n\n\n* Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems\n\n* 5+ years senior engineering leadership experience\n\n* Demonstrated ability to balance competing interests in a complex technical and social environment\n\n* Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.\n\n* Previous hands-on experience in production big data and machine learning environments at scale\n\n* Experience building and supporting diverse, international and distributed teams\n\n* Outstanding oral and written English language communications\n\n\n\n\nQualities that are important to us:\n\n\n* You take a solutions-focused approach to challenging data and technical problems\n\n* A passion for people development, team culture and the management of ideas\n\n* You have a desire to show the world how data can be done while honoring the user’s right to privacy\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience with modern machine learning, search and natural language processing platforms\n\n* A track record of open source participation\n\n* Fluency or familiarity with languages in addition to English\n\n* Spent time having lived or worked outside your country of origin\n\n* Experience as a member of a volunteer community\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible non-US benefits are specific to location and dependent on employer of record \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, English, Education, Senior and Legal jobs that are similar:\n\n $80,000 — $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

\nThe Wikimedia Foundation is seeking an experienced executive to serve as Vice President of Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. \n\nReporting to the Chief Technology Officer, the VP of Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.\n\nThis role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.\n\nWorking closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.\n\nSome examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship.  \n\nYou are responsible for:\n\n\n* Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)\n\n* Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure\n\n* Creating scalable engineering management processes and prioritization rubrics\n\n* Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.\n\n* Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.\n\n* Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments\n\n* Contributing to our culture by managing, coaching and developing our engineering and data teams\n\n* Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation\n\n* Managing up to 5 direct reports with a total team size of 20\n\n\n\n\nSkills and Experience:\n\n\n* Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems\n\n* 5+ years senior engineering leadership experience\n\n* Demonstrated ability to balance competing interests in a complex technical and social environment\n\n* Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.\n\n* Previous hands-on experience in production big data and machine learning environments at scale\n\n* Experience building and supporting diverse, international and distributed teams\n\n* Outstanding oral and written English language communications\n\n\n\n\nQualities that are important to us:\n\n\n* You take a solutions-focused approach to challenging data and technical problems\n\n* A passion for people development, team culture and the management of ideas\n\n* You have a desire to show the world how data can be done while honoring the user’s right to privacy\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience with modern machine learning, search and natural language processing platforms\n\n* A track record of open source participation\n\n* Fluency or familiarity with languages in addition to English\n\n* Spent time having lived or worked outside your country of origin\n\n* Experience as a member of a volunteer community\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible non-US benefits are specific to location and dependent on employer of record \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, English, Education, Senior and Legal jobs that are similar:\n\n $80,000 — $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