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Job DescriptionDescriptionHeadquartered in Kendall Square, Cambridge (MIT), C10 Labs is expanding its presence to New York City - one of the most vibrant ecosystems for Applied AI. As we grow, we are seeking bold, entrepreneurial leaders to help shape the future of AI innovation. Press Release Position Overview: We are seeking a part-time AI Fellow to join our team in a part-time capacity. This position is more than a job - it's an opportunity to shape the future of AI, molding our portfolio companies into global leaders in the AI space. This role offers a hands-on opportunity to work on challenging projects, collaborate with experienced researchers and engineers, and contribute to the development of groundbreaking AI solutions. If you value working with the brightest minds in the world in areas like climate tech and health then come join us to shape the future of humanity! What you'll do: • Define and lead AI initiatives within our portfolio companies, working closely with founders and tech teams., • Oversee the application of AI technologies across multiple platforms and products., • Share knowledge and insights through regular presentations, workshops, and collaboration sessions with venture and portfolio teams., • Advise on best frameworks and tools for our portfolio companies to create solutions., • Advise our executive team on AI strategy, risks, opportunities, and investments., • Product Development Experience: full product development and bringing cutting edge AI products, platforms, and services to market, • Technical Development: Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and others. Strong programming full stack skills in languages such as Python, R, or Java, with experience in implementing machine learning models and algorithms., • Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI solutions at scale., • Familiarity with AI model optimization, including hyperparameter tuning, model evaluation, and performance benchmarking., • Major plus will be experience with assessing tech readiness in AI projects using commonly used frameworks like TRL, AI Maturity Models, Model Validation Frameworks, SAFE AI, IEEE, IRL., • An exciting opportunity to shape the AI landscape and create industry-defining companies., • Collaborative, innovative, and intellectually stimulating work environment., • Exposure to real-world AI projects and applications., • A platform to leverage your AI expertise and make a global impact. If you are passionate about AI, would love to work with an amazing team, ready to solve challenging problems, and eager to transform industries through innovative technologies, we want to hear from you. Apply now and join us on our mission to shape the future of AI. C10 Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description $5,000 Signing Bonus!! We will provide you with a relocation stipend!! Role: Board Certified Behavior Analyst (BCBA) Location: You can work at one of our Georgia centers. We will provide you with a generous relocation stipend! Target Earnings: CS1: $94,000.00; CS2: $98,000; CS3: $102,000; Sr. CS-1: $107,000; Sr. CS-2: $115,000 Base Salaries: $90,000-$100,000; based on experience Schedule: Monday-Friday, 8:00 am - 5:00 pm About Apollo Behavior: Apollo Behavior is the premier provider of ABA therapy in metro Atlanta, and the largest ABA provider based in Georgia. We are focused on being the best, and have heavily incorporated relational frame theory into our clinical model. At Apollo, excellence is not an anecdote - we have a ~25% annual client graduation rate, and many of our clients enter mainstream educational settings. We embrace a servant leadership model and work hard every day to empower our team to do their best work and be their best selves. We are dedicated to ensuring that our team enjoys a fun, collaborative, non-bureaucratic culture and maintains a healthy work-life balance. To learn more, please visit our website at: Role: BCBA and Case Supervisor Apollo Behavior is looking for BCBAs for our center-focused applied behavior analysis services in the metro Atlanta area. This is a great opportunity for someone who wants to do great work with other excellent clinicians, be a part of a fun and collaborative culture, and maintain an ethical caseload and work/life balance. Your typical day might include: • Providing clinical consultation and overseeing treatment programming for our staff and clients, • Collaborating with parents or other caregivers to ensure client progress is sustained long-term, • Developing and leading other team members, • Learning about and implementing innovative ABA methods, such as Relational Frame Theory / RFT, • You are a leader who has passion and vision, • You value the opportunity to develop your clinical and managerial skills with mentorship provided by the leading minds within the ABA field, • You are an excellent clinician, a great manager, and a collaborator with client caretakers, • You love to see the results of your work improving the lives of your clients, • You love to lead and develop other clinicians so we can all ensure our clients achieve their full potential, • $5,000 Signing Bonus, • Relocation Reimbursement Assistance, • $1,500 CEU and Travel Reimbursement, plus three additional paid CEU days, • 19 Paid Days Off per year (including 9 paid holidays), • 2 WFH days per month, • Billable starting at 20 hours a week, • Comprehensive Health, Life, Vision, and Dental Insurance, • 401(k) with Company Match, • A master's degree in psychology or a related field, • Strong competency in a range of skill acquisition and behavior reduction techniques, • Success leading and managing direct care clinical team members

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks a data analytics professional to serve as a part-time Associate for a graduate-level course called Applied Analytics Frameworks & Methods I. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to data science, applied analytics, statistics, or another quantitative discipline., • Proficient in Python programming., • Knowledge of theories and practical application of machine learning., • University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description • position follows a school schedule (day time hours/time off etc.)., • Conduct functional behavior assessments and develop behavior intervention plans, • Implement and monitor behavior intervention plans -Provide parent training sessions when needed remotely or during school hours • Provide training and supervision to other staff members within the district, • Collect and analyze data to evaluate the effectiveness of behavior intervention plans, • Collaborate with parents, caregivers, and other professionals to develop comprehensive treatment plans, • Stay up-to-date with the latest research and best practices in applied behavior analysis, • Maintain accurate and thorough documentation of client progress and treatment plans • Board Certification as a Behavior Analyst (BCBA), • Experience working with individuals with developmental disabilities, preferably children, • Strong knowledge of applied behavior analysis principles and techniques, • Familiarity with special education laws and regulations, • Excellent communication and interpersonal skills for working with patients, families, and team members, • Ability to collect and analyze data to inform treatment decisions, • Strong problem-solving skills and ability to adapt treatment plans as needed, • Commitment to providing high-quality care in a compassionate manner Note: This job description is intended to provide a general overview of the position. It is not an exhaustive list of all responsibilities, duties, qualifications, or requirements associated with the job. Job Types: Contract, Full-time Pay: $75.00 - $100.00 per hour Work Location: In person Company DescriptionFlourishing Minds provides Behavioral Consultation services to public school districts on Long Island, Westchester and Dutchess County. Staff are required to conduct Functional Behavioral Assessments, create and implement Behavior Intervention Plans, analyze data as needed, conduct professional development for staff, and parent training and counseling.Flourishing Minds provides Behavioral Consultation services to public school districts on Long Island, Westchester and Dutchess County. Staff are required to conduct Functional Behavioral Assessments, create and implement Behavior Intervention Plans, analyze data as needed, conduct professional development for staff, and parent training and counseling.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Ph.D. in Computer Science, Software Engineering, or related field Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming * Experience with the Linux operating system, cloud virtualization and storage systems * 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud) * Knowledge of Python programming language Preferred Skills & Experience * University teaching experience * Experience with setting up and configuring Google Cloud Platform services * Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary Range: $11,000-$13,000 per semester length course

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University’s Master's in Applied Analytics program seeks experienced industry professionals to serve as a part-time Lecturer for a graduate-level course in Managing Data. The Fundamentals of Data Engineering course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes, and organizational prerequisites needed to overcome challenges to ensure data quality. Responsibilities * Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate, grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree or equivalent required, in an area related to data science, statistics, computer science, or another discipline that provided rigorous training in quantitative analytics. * Knowledge of databases, topics in Big Data, and Data Analysis. * Knowledge of SQL and NoSQL databases. * Knowledge of Python and Spark. * 10+ years of related applied professional experience. Preferred Skills & Experience * Knowledge of MapReduce strongly desired. * Other software or programming languages like R and Tableau. * Statistical and Machine learning knowledge. * University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer. Salary range: $11,000 - $13,000 per semester long course

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Doctorate degree in Computer Science, Data Science, or a related field., • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch)., • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques. 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Strong verbal and written skills for explaining concepts clearly. Additional Information Salary range: $11,000 - $13,000 per semester long course Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role Eight Sleep is looking for an experienced mobile Product Manager to join our growing Product team. The ideal candidate has shipped exceptional mobile products in high-growth start-ups, working closely with designers and engineers in fast-moving, squad-like teams. They are a power user of modern AI tools and leverage them daily to accelerate discovery, analysis, and execution. We want someone with deep product management roots, strong technical instincts, and a passion for health tech and wellness. In this role, you’ll collaborate with machine learning engineers, sleep science researchers, designers, and mobile engineers to build smart, AI-powered, autonomous experiences that help people achieve the best sleep biologically possible. You’ll balance a bold product vision with a sharp focus on user needs, ensuring every feature creates measurable impact for our members. As one of the early AI adopters in the sleep space, Eight Sleep is training models on the world’s largest sleep dataset to power groundbreaking features in our app - and expects every member of the product team to leverage AI tools daily to move faster and smarter. We prefer someone based out of our NYC HQ. What You'll Help Build * Partner with our product researchers to gather qualitative and quantitative customer research to deeply understand customer’s sleep needs and transform that into value-add user stories and product requirements * Work with complex data sets and to deliver seamless experiences around sleep and recovery * Write stories and sprint goals that clearly communicate key objectives. Develop, refine, prioritize and track implementation of requirements and new features * Conduct thorough QA on new app features, ensuring bug-free releases * Assess customer opportunities, prioritize initiatives, and make data and judgment driven trade-offs * Design and run A/B tests to learn about customer behavior, iterate, and optimize * Closely collaborate with and orchestrate efforts across functions and teams, including engineering, UX, analytics, research, and product marketing * Conceptualize, scope, define, and drive projects through the product life cycle * Communicate product details to senior management * Work cross-functionally with customer care and marketing teams to validate, launch, support, and monitor new features * Track and measure the success of each release, and feed those learnings back into the roadmap What You'll Need to Succeed * 3-5+ years of experience in mobile product management (experience with hardware IoT products a plus) * Proven track record shipping consumer-facing apps or services with high customer satisfaction * Experience working closely with designers, engineers, researchers, and product marketing * Demonstrated ability to leverage AI tools to increase velocity and quality in product development workflows * Relentless resourcefulness - ability to make big things happen with limited resources * Excellent communication and organizational skills, with attention to detail and prioritization in changing environments * Comfort innovating in complex, ambiguous situations * Genuine passion for sleep, wellness, technology, and connected devices Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Lunch in the office 5 days per week * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Please note: This role is open to applicants in the US. Compensation (salary and equity) listed is reflective of candidates based in New York, NY. Compensation Range: $140K - $200K

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University’s School of Professional Studies seeks candidates for the role of Course Associate in the school’s Master of Science degree program in Biodiversity Data Analytics for the fall 2026 semester. A Course Associate is a part-time instructional role that supports a Lecturer in teaching and course facilitation. Serving as a Course Associate is an excellent opportunity to bolster teaching skills while building a relationship with Columbia University. The MS in Biodiversity Data Analytics prepares professionals to apply advanced data analytics and systems thinking to biodiversity conservation, environmental management, and nature-related decision-making across policy, finance, conservation, and industry. The program integrates ecological science with geospatial analysis, statistical modeling, and applied analytics and is delivered fully online. The program will hire multiple Associates, across two online course sections: • Graduate Seminar in Conservation Biology- Wednesdays 6:10-8:00pm Responsibilities • Total time commitment: ~ 10 hours/week (per course), • Prior to semester, complete training for Canvas learning management system (~ 1 hour), • Meet with Lecturer before semester starts (~ 1 hour), • Attendance at all live (synchronous) online class sessions (class generally meets 2 hours once per week), • Monitor student concerns and inquiries, • Evaluate student work as requested by the Lecturer, • Proctor the midterm and final exams, • Supplement course instruction on occasion, as requested by LecturerQualifications, • Master’s degree in environmental science, biology, ecology, or a closely related discipline is required, particularly where quantitative methods are applied to ecological systems. Doctoral degree preferred., • Demonstrated experience in areas related to biodiversity analytics, conservation science, sustainability, or environmental data fields, • 2+ years teaching experience in a university setting at the graduate level., • Peer-reviewed publications and/or contributions to area of discipline. Additional Information Compensation: $3,000 - $3,240 per course. Review of applications begins immediately and will continue until positions are filled. All applicants must provide: • A CV inclusive of university teaching experience (to be uploaded via the "Additional Attachment" button All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach Survey and Polling Methodology, an on-campus course in the school’s M.S. in Political Analytics program. Course Description Survey research has played a pivotal role in politics for the better part of the last century, with a wide range of campaign and public policy professionals conducting surveys to gain insight into the thoughts, feelings, and opinions of the electorate and citizenry as a whole. Since the early 2000s, the use of survey experiments has become exponentially more prevalent in the political realm as a way to assess attitudes, anticipate reactions, or measure causal relationships. Recent trends point to the growing importance of the internet and social media to conduct surveys and the linkage of survey data with the wealth of publicly available personal information as well as with information on individuals’ social and economic behavior. In this course, students will learn about the strengths and weaknesses of survey research as well as limitations associated with survey design and various analytical techniques, and they will acquire concrete knowledge of practical tools used in campaigns, advocacy, and election forecasting. Students will be introduced to a set of principles for conducting survey research and analyzing survey data that are the basis for standard practice in the field. Students will be familiarized with terminology and concepts associated with survey questionnaire design, sampling, data collection and aggregation, and survey data analysis to gain insights and to test hypotheses about the nature of human and social behavior and interaction. The course will present a framework that will enable students to evaluate the influence of different sources of error on the quality of data. Responsibilities This position may require developing the course, leading syllabus through the review process, and teaching the course. Responsibilities may include: • Lead in-person class lectures, instructional activities, and classroom discussions, • Evaluate student work and grade assignments, • Monitor student concerns and inquiries, and be the first point of contact for student questions, • Hold weekly office hours, • Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses, • Complete required Canvas training (Columbia University's online learning management system) if new to SPS, • Attend Political Analytics faculty meetings, • If assigned to design the course, responsibilities also include:, • Develop course objectives that align with program-wide learning outcomes, • Create activity maps tying course activities to objectives, ensuring industry relevance, • Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI) Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to political science, data science, quantitative methods or related field, • 10+ years of professional experience in a role involving political analytics, • Knowledge of statistics, econometrics, quantitative analysis or related techniques, • Knowledge and familiarity with analysis software (e.g. R), • Doctoral degree or equivalent in a relevant field, • Prior experience with electoral campaigns, policy-making initiatives, advocacy efforts, or lobbying operations, • University teaching experience, ideally at the graduate level Additional Information Compensation - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: • A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level, • A cover letter indicating the courses they would be interested in or qualified to teach, areas of subject matter expertise, and availability to teach in-person Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through fourteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The Applied Analytics program is seeking data analytics professionals to serve as a part-time Associate for a graduate-level course called Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. Responsibilities • Attend all on-campus class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries, • Conduct office hours.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses)., • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch)., • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques., • Hands-on experience with deep learning projects and data manipulation., • Strong verbal and written skills for explaining concepts clearly., • University teaching experience in related subjects Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Managing Data. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. The Managing Data course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes and organizational prerequisites needed to overcome challenges to ensure data quality. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in an area related to data science, statistics, computer science or another discipline that provided rigorous training in quantitative analytics. * Knowledge of databases, topics in Big Data, and Data Analysis. * Knowledge in SQL and NoSQL databases. * 3+ years of related applied professional experience. Preferred Skills & Experience * Knowledge of MapReduce, Spark strongly desired. * Other software or programming languages like R, Python, Tableau * Statistical and Machine learning knowledge. * University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer. Salary range: $2,000 - $3,000 per semester long course

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate- level course in Financial Securities Analysis and Portfolio Management. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. Financial securities analysis and portfolio management is the study of analyzing information to evaluate financial securities and design investment strategies. Studying the subject can provide a foundation for students entering the fields of investment analysis or portfolio management. This course provides an intensive introduction to major topics in investments. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in Finance or a related field., • 3+ years of professional experience in a role involving financial securities analysis and portfolio management, • University teaching experience., • Experience applying Python to real-world financial securities and portfolio management problems., • Ability to mentor students and provide constructive feedback on analytical work. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description Join the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. We’re a team that puts in the extra effort, not because it’s required, but because we care about the impact of our work. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The role We are seeking an experienced and organized Office Manager to oversee the daily operations of our New York office. As an integral member of our team, you will play a pivotal role in maintaining a productive, efficient, and positive work environment for our employees and visitors. This role requires in person work at our New York office Monday through Friday (all NYC-based employees are in office Mon-Fri). How you’ll contribute * Facility Management: Ensure the office space is well-maintained, organized, and conducive to a productive work environment. * Vendor Management: Coordinate with vendors for services such as cleaning, maintenance, and office supplies. * Supplies and Inventory: Manage office and kitchen supplies, equipment, and inventory. Place orders as needed to ensure adequate stock levels. * Expense Management: Track office-related expenses, process invoices, and reconcile accounts. Prepare reports as needed. * Event Coordination: Organize company events, meetings, workshops, and celebrations. Coordinate logistics, catering, and materials. * Employee Support: Assist with onboarding new employees, including workspace setup, IT support coordination. * Front Desk Operations: Manage visitors and direct inquiries to the appropriate departments or individuals.Handle incoming packages, mail, and shipments. * Ad-hoc Projects: Take on special projects as needed to support company growth and strategic initiatives.Help with organizing company-wide initiatives or processes related to operations, HR, or culture. Provide general administrative assistance across teams as required. What you need to succeed * 2-3+ years of experience as an Office Manager, or similar role, preferably in a fast-paced startup or high-growth environment. * Strong organizational and multitasking skills with exceptional attention to detail. * Proactive problem solver who can handle multiple projects and deadlines with little supervision. * Excellent written and verbal communication skills. * Ability to manage sensitive and confidential information with discretion. * Comfort with technology and proficiency in productivity tools (Google Suite, Microsoft Office, Slack, etc.). * Strong interpersonal skills, with a professional, positive, and approachable attitude. * Ability to work well under pressure, think on your feet, and adapt quickly to changing priorities. * Experience with basic budget management and office supply ordering. * A passion for startup culture and a collaborative mindset. * NY based with the ability and enthusiasm to work in office Monday-Friday Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with other benefits. Learn more at eightsleep.com/careers At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Compensation Range: $100K

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Applied Generative AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. The Applied Generative AI course provides students with a comprehensive introduction to a branch of machine learning called generative modeling, focusing on the underlying concepts, theoretical techniques, and practical applications. Students will learn to use, fine-tune, and programmatically interface with high-level APIs and open-source foundational models, allowing them to leverage state-of-the-art tools in Generative AI. Additionally, the course delves into the theory and practice of low-level implementations, empowering students to train their own models on their own data and understand these models from first principles. The course covers various types of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers with their applications to text, image, audio, and video generation. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in an area related to Machine Learning, Computer Science, Applied Mathematics, or related field. * 3+ years of related applied professional experience. Preferred Skills & Experience * Programming experience in Python and experience with major deep learning frameworks such as PyTorch or TensorFlow. * Knowledge of deep learning architectures, such as CNNs, VAEs, GANs, and RNNs. * Experience with deploying code on cloud platforms such as AWS, GCP, or Azure. * Knowledge of Mathematics and Probability concepts used in machine learning, including * Optimization, Gradient Descent, Conditional Probability, Bayes Theorem, and Normal Distribution. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate- level course in Analytics for Business Operations Management. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course teaches students how to apply analytical techniques to optimize operational decision- making, improve efficiency, and solve real-world challenges in operations management. Students will develop practical skills in topics such as process analysis, forecasting, queuing theory, simulation, optimization, inventory analysis, project management, supply chain management, and lean operations. The course integrates lectures and coding exercises to ensure a balance between conceptual learning and practical application across multiple industries. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • University teaching experience., • Experience applying Python to real-world operations management problems., • Ability to mentor students and provide constructive feedback on analytical work. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Artificial Intelligence of Things (AIOT). An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies. Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related). * 2+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT). * Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization * Strong knowledge of AI fundamentals and experience with machine learning applications * Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos. Preferred Skills & Experience * University teaching or TA experience, especially in graduate or professional programs. * University teaching/TA experience in project-based or lab-based courses. * Proficiency with MicroPython for device programming * Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal * Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns. * Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent). Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach an on-campus graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Doctoral degree in an area related to applied analytics, computer science, or information technology, • Solid knowledge and academic foundation in statistics., • Deep understanding of machine learning concepts and algorithms., • Proficiency in R and Python programming., • 10+ years of professional experience in analytics-focused roles., • 2+ years of teaching experience, ideally at the graduate level., • Proficient in JavaScript Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Financial Securities Analysis and Portfolio Management. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces students to the study of analyzing information to evaluate financial securities and design investment strategies. This course provides an intensive introduction to major topics in investments and covers topics in theoretical foundation, valuation models and analysis of major asset classes, and the practice of active portfolio management. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in Finance or a related field * Professional experience related to financial securities analysis and portfolio management * Proficiency in Python; e.g. using libraries for data manipulation, statistical analysis, machine learning implementations, and data visualization. Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Excellent written and oral communication skills with the ability to present complex material to students unfamiliar with a subject Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines.

Job Description WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. About the team The Data team at Trustly is the backbone of our decision-making and product innovation. We are a global, multidisciplinary collective of Software Engineers, Data Engineers, Machine Learning Specialists, Scientists, and Analysts who believe that data is more than just rows and columns - it is the fuel for a more transparent financial ecosystem. We operate at the intersection of high-scale engineering and deep financial intelligence. Our team processes millions of transactions in real time, turning complex Open Banking signals into seamless payment experiences. We pride ourselves on a culture of intellectual curiosity, technical excellence, and extreme ownership. About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly’s most senior data executive, responsible for the strategy, architecture, and execution of the company’s global data program. This is a broad, high-impact mandate: you will own the data platform that underpins our products and operations, the datasets that drive business decisions, the analytics capabilities that serve our internal and external stakeholders, and the machine learning and artificial intelligence initiatives that will define Trustly’s competitive edge in the years ahead. You will be a key member of the extended C-suite, partnering with the CTO, CPO, CFO, and business leaders across the company to turn data into product, revenue, and risk advantage. You will set the vision for how Trustly thinks about data as a first-class asset, while building and leading the engineering, science, and analytics teams to deliver on that vision at scale. What you’ll do Global Data Platform & Infrastructure • Define and execute the strategy for Trustly’s global data platform, including data lakehouse architecture, streaming and batch pipelines, data cataloging, observability, and correctness., • Own the end-to-end data engineering function, ensuring reliable, scalable, and cost-efficient data infrastructure that serves product, analytics, risk, and compliance use cases across all geographies., • Drive the evolution of Trustly’s data stack, making deliberate build-vs.-buy decisions and managing a best-in-class ecosystem of data tools and vendors., • Establish and enforce data standards, taxonomy, and governance frameworks that enable self-service access without sacrificing data quality or integrity., • Identify, develop, and steward Trustly’s highest-value proprietary datasets, including transaction-level payment data, bank account intelligence, consumer behavioral signals, and merchant performance data., • Define a long-term data strategy that turns Trustly’s unique data assets into durable competitive advantages - for risk management, product differentiation, and potential new revenue streams., • Oversee data governance, data lineage, and master data management programs, ensuring a single source of truth across the organization., • Champion data quality and reliability as foundational standards, implementing frameworks that ensure confidence in data used for business-critical decisions., • Collaborate with Legal, Compliance, and Privacy teams to ensure responsible and lawful use of data across all jurisdictions, including under GDPR, CCPA, and relevant open banking data regulations.Analytics & Business Intelligence, • Build and lead a world-class analytics function that delivers actionable insight to business stakeholders across Product, Finance, Risk, Operations, Sales, and the C-suite., • Establish a self-service analytics culture, enabling non-technical teams to access, explore, and act on data confidently and safely., • Own the development of key performance metrics, executive dashboards, and board-level reporting, ensuring data is accessible, accurate, and impactful at every level of the organization., • Lead Trustly’s machine learning and AI program, setting the technical vision and organizational structure for applied ML across fraud detection, risk scoring, payment success optimization, personalization, and operational automation., • Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring., • Drive the responsible adoption of generative AI and large language models where they can create meaningful productivity or product value, with appropriate governance and oversight., • Define and maintain Trustly’s AI ethics and model risk management framework, ensuring fairness, explainability, and regulatory compliance across all deployed models., • Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts., • Foster a data-driven culture across Trustly, partnering with senior leaders to raise the overall level of data literacy and analytical rigor in decision-making., • Represent Trustly’s data capabilities externally with partners, regulators, and the broader industry, where relevant., • Contribute to the broader technology leadership team, collaborating with the CTO and peer executives on cross-cutting strategy and resource allocation.Who you are, • 15+ years of progressive experience in data engineering, data science, analytics, or a closely related technical discipline, with at least 5 years in a senior leadership role., • Demonstrated success building and scaling data platforms and teams in high-growth, data-intensive technology or financial services environments., • Deep expertise in modern data architecture: cloud data warehouses (Snowflake, BigQuery, Redshift), data lakes, streaming platforms (Kafka, Flink), and orchestration frameworks., • Hands-on understanding of machine learning and AI methodologies, with experience overseeing applied ML programs in production at scale., • Strong command of data governance, data quality, and regulatory compliance requirements relevant to financial services and global data privacy law (GDPR, CCPA)., • Track record of translating complex data strategy into business outcomes, with the communication skills to influence C-suite and Board-level audiences., • Experience managing geographically distributed, cross-functional data teams in a global organization., • Prior CDO, VP of Data, or equivalent executive title at a technology company, payments platform, or regulated fintech., • Experience in payments, open banking, financial services, or another highly regulated, data-rich industry., • Familiarity with transaction-level payment data, fraud modeling, credit risk scoring, or consumer behavioral analytics in a financial context., • Proven experience building or scaling ML platforms and MLOps infrastructure for production model deployment and monitoring., • Experience with generative AI and large language model deployment in an enterprise context., • Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience. LOCATION & WORKPLACE This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday. SALARY RANGES IN US-BASED ROLE POSTING Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits. WHAT WE OFFER At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. We offer innovative perks and benefits packages that include: • Flexible paid time off & generous PTO accrual plans, • Comprehensive medical, dental, vision, and other insurances, • FSA & HSA plans for medical and dependent care, • Home office set-up allowance, • Internet stipend, • Retirement plan match for 401k and RRSP At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Introduction Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives. Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards. Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next? Role Overview: We are seeking a seasoned and entrepreneurial leader to join Axtria as the Commercial Solutions Global CoE Leader. This role exists to hardwire deep pharma business context into Data & AI solutions. The leader will be responsible for building and leading a lean team of deep domain experts in pharma commercial space, including Medical Affairs, Omnichannel & Customer Engagement, and Patient Services & Hub Operations. This is a true “innovate, prove, transfer, and win” role. The CoE Leader will be accountable for creating reusable, production-grade AI accelerators and agentic solutions grounded in real pharma commercial workflows, converting innovation into funded client engagements with quantified ROI, co-selling with account teams while simultaneously transferring knowledge so they can independently position and defend solutions, fueling competitive displacement wins, and transforming the talent base for the agentic AI era. The role enhances Axtria’s AI & Data portfolio by embedding deep commercial domain expertise into every solution we build. The critical area of focus for this role is to have deep understanding of pharma commercial operations and extensive experience in commercial technologies, data ecosystems, and decision-support capabilities underpinning medical affairs, omnichannel engagement, and patient services activities. It is important that this person be senior and well-connected in the industry with a significant network of client and partner relationships. The ideal candidate will have a proven track record of leading large-scale commercial solution initiatives, driving innovation at the intersection of domain and AI, and fostering strong partnerships with key stakeholders. Why This Role Exists Axtria is building the next generation of AI‑powered commercial solutions for life sciences, and we are creating a Commercial Solutions Center of Excellence to lead that transformation. Just as Axtria has a dedicated Clinical Solutions CoE, we are now investing in a Commercial CoE—focused on Medical Affairs, Omnichannel & Customer Engagement, and Patient Services / Hubs. This role will define how deep pharma commercial expertise is embedded into AI and Data solutions at scale. If you have: • Lived inside pharma commercial operations, • Then gone on to build or scale solutions in consulting, analytics, or a platform firm The Opportunity This is not a traditional consulting role, delivery leadership role, or internal innovation job. This is a build, sell, and scale role. You will: • Create commercially grounded AI accelerators that solve real pharma problems, • Turn innovation into funded client engagements with measurable ROI, • Enable account teams to confidently sell and defend these solutions, • Drive competitive displacement by winning deals from incumbents, • Build and lead a lean team of elite domain and business solution leaders What You’ll Do Build & Innovate • Lead end‑to‑end innovation for commercial solutions across Medical Affairs, Omnichannel, and Patient Services, • Create reusable, production‑grade AI accelerators and agentic solutions embedded in pharma commercial workflows, • Convert innovations into funded, multi‑quarter client engagements, • Co‑sell with Client Partners as a senior domain advisor to pharma commercial leaders, • Produce competitive battle cards, win strategies, and displacement playbooks, • Transfer knowledge so account teams can independently position, demo, and defend solutions, • Build GTM playbooks, POVs, case studies, and thought leadership used actively in pursuits, • Build and mentor a team of Pharma Domain & Business Solution Leaders, • Drive measurable upskilling in AI / GenAI / agentic AI frameworks, • Remain personally engaged in client advisory, solution architecture, and delivery leadership You are a hybrid leader—not a pure consultant and not a pure pharma lifer. You likely: • Spent meaningful years inside pharma commercial operations (Medical Affairs, Omnichannel, Patient Services, Commercial Ops), • Then moved to a consulting, analytics, or platform firm where you built and scaled solutions, • Have been trusted by pharma leaders as a peer, not a vendor, • 20+ years in life sciences with deep commercial expertise in at least two of:, • Medical Affairs, • Omnichannel & Customer Engagement, • Patient Services / Hub Operations, • Commercial Operations / Sales Effectiveness, • Strong understanding of pharma commercial data ecosystems (claims, Rx, CRM, digital, field, medical, patient), • Proven experience building solution practices, CoEs, or repeatable accelerators, • Demonstrated GTM and co‑selling capability, • Fluency in AI, GenAI, and agentic AI concepts (no coding required), • Ability to translate complex AI into clear executive narratives, • A strong pharma network that accelerates credibility and access, • You will define and lead Axtria’s Commercial AI direction—not inherit it, • You will have real ownership: innovation, GTM, revenue, and talent, • You will work alongside senior leaders who value domain depth and execution This role is for someone who wants to: • Build commercial AI solutions that actually sell, • Influence clients at the highest levels, • Leave behind one‑off projects and create enduring solution assets Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $204,250 to $312,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. #LI-JC1 Powered by JazzHR yGJCIiUhgm

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate level course on Mathematics for AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to applied analytics, data science or another discipline which provided rigorous training in quantitative analytics Proficiency with programming Python in a Jupyter notebook * 3+ years of professional experience in a related area Preferred Skills & Experience • University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role We’re looking for a Swiss army knife operator who can jump in and help us reach our next phase of growth. You will support the team with daily responsibilities and various ad hoc projects, enabling them to concentrate on strategic, high-impact efforts. We are seeking a diverse range of skill sets: creating clear, actionable project plans and memos, analyzing data sets, and tackling various ad hoc projects. What You'll Help Build * Itinerant project and program management on cross-functional initiatives * Data analysis/dashboarding/reporting * Strategic thinking based on data * Customer discovery and A/B testing * New business / product development and opportunity modeling What You'll Need to Succeed * 3-4 years of experience in consulting, banking, or startup business operations * Strong project management skills and ability to lead complex, cross-functional initiatives * Experience taking projects from 0-1 with little oversight and ability to articulate the why's and how's * Excellent analytical and problem-solving skills * Ability to synthesize complex information and data to inform decision-making * Data mindset * Hard-working and high-intensity * Exceptional communication and stakeholder management skills Please note that applications will not be reviewed if you do not meet this criteria. We also keep the Business Operations Manager as a posted role year-round and hire from this pool whenever we periodically identify a need for a generalist role. Given the "always hiring" nature of this role, you may not hear back from us initially. Why join Eight Sleep? Innovation in a Culture of Excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate Responsibility and Accelerated Career Growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with Exceptional Talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable Compensation and Continuous Equity Investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your Own Pod - and Other Great Benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits applicable to NYC applicants At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Artificial Intelligence of Things (AIOT). This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies. Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related). * 7+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT). * Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization * Strong knowledge of AI fundamentals and experience with machine learning applications * Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos. Preferred Skills & Experience * University teaching experience, especially in graduate or professional programs. * University teaching experience in project-based or lab-based courses. * Proficiency with MicroPython for device programming * Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal * Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns. * Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent). Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Analytics for Cybersecurity Management. This course offers a comprehensive introduction to core cybersecurity principles, encompassing network security, threat detection, and vulnerability management, while highlighting how emerging techniques in AI and machine learning can transform modern defense strategies. Students will explore key frameworks, advanced tools, and real-world case studies, gaining insight into how analytics underpins effective threat intelligence, incident response, and regulatory compliance. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a quantitative disciplinary area * 3+ years of professional experience in roles such as Security Operations (SOC), Threat Intelligence, Incident Response, Security Engineering, Vulnerability Management, Cloud Security, or Applied Data Science/ML for security within industries like technology, finance, healthcare, consulting, or government. * Python proficiency for data parsing/ETL, log analysis, and basic analytics (e.g., pandas, simple scikit-learn workflows). * Comfort with shell scripting (PowerShell and/or Bash) and core OS tools for processes, networking, and files. * Strong communication and feedback skills for guiding graduate students; dependable, organized, and detail-oriented Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Experience with cloud security (IAM, least privilege, security groups, logging) and common tools (e.g., CloudTrail/Defender for Cloud). * Familiarity with SOAR concepts/workflows and alert triage/runbooks. * Practical knowledge of security/privacy frameworks and regs (e.g., NIST CSF, HIPAA, GDPR) and ethical handling of sensitive data. * Experience supporting course operations (Canvas/LMS, rubric-based grading, timely feedback, academic integrity processes, managing small-group activities). * Track record of mentoring early-career professionals or graduate students and collaborating in diverse, remote teams. Additional Information All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer. Salary range: $11,000 - $13,000 per semester long course

Job Description Join the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. We’re a team that puts in the extra effort, not because it’s required, but because we care about the impact of our work. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The role At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we build the most advanced hardware, software, and AI technology to help people sleep and recover better. Our members include world-class athletes, founders, and health-obsessed high performers across 30+ countries. We operate like a high-performance team: fast, focused, and obsessed with the details. This internship is for someone who wants to do real work. You'll be embedded in the Brand team, working across influencer, events, social, and campaigns from day one. How You'll Contribute * Support influencer campaigns end-to-end, from research and outreach to gifting logistics and content tracking * Help plan and execute brand events and activations, including influencer events, product experiences, and pop-ups * Assist in developing and producing brand campaigns, contributing ideas and helping bring them to life across channels * Draft and schedule social content, monitor performance, and flag trends worth acting on * Use AI tools to accelerate research, draft copy, build decks, and streamline creative workflows * Track and maintain reporting across influencer and PR activity What You'll Need to Succeed * Currently pursuing or have completed a degree in Marketing, Communications, Journalism, or a related field * Based in or available to work in New York City * Genuinely curious about culture, creators, and what makes a brand resonate * Proficient in AI tools (ChatGPT, Claude, Perplexity, etc.) and uses them as a core part of your workflow, not just occasionally * Strong writer with a good eye for what looks and sounds right * Highly organized, self-directed, and able to manage multiple projects without dropping the ball * A bias for action — you'd rather try something and iterate than wait for perfect instructions Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits What's in It for You * Paid internship with the opportunity to extend or transition to a full-time role after 3 months * Real ownership of projects from start to finish * Work alongside a sharp, fast-moving brand team on launches that actually matter * NYC office in Flatiron * A Pod of your own

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a si