Jewish Learning Collaborative Learning Manager

As a Support Learning Manager at Adyen, you will be at the forefront of enhancing our customer support experience. You will lead the development and implementation of comprehensive training programs that empower our support teams to excel in their roles. Your expertise will be pivotal in fostering a culture of continuous learning and improvement.This role is ideal for someone who is passionate about education, possesses strong leadership skills, and is eager to make a significant impact in a dynamic environment.

Join Adyen as a Support Program Manager and play a pivotal role in enhancing our customer support initiatives. You will be responsible for developing and managing support programs that improve customer satisfaction and operational excellence. Your expertise will drive the implementation of best practices, ensuring our support teams are equipped to address customer needs effectively.In this dynamic position, you will collaborate with various stakeholders across the organization, utilizing your analytical skills to assess program performance and make data-driven decisions. We value innovation and encourage a proactive approach to solving challenges, making this an exciting opportunity for those passionate about customer service and program management.

We are seeking an experienced Application Support Manager to join our dynamic team in Chicago. In this role, you will be responsible for overseeing application support operations, ensuring that our software applications are functioning optimally, and managing a team of support professionals. Your expertise will help us maintain high service levels and enhance user satisfaction.

Join IMC Trading during an exciting phase of global expansion. As we enhance our trading, technology, and research capabilities, building strong leadership and technical skills at scale has never been more essential.We are seeking a seasoned Learning Experience Designer to become a vital member of our global Learning & Development team. In this role, you will spearhead the creation and development of groundbreaking learning solutions that enhance performance, elevate leadership capabilities, and support IMC’s expanding global workforce. This is not your typical content production position; you will oversee comprehensive learning design projects, collaborate with business leaders, and partner with subject matter experts to assess needs, craft evidence-based solutions, and deliver engaging learning experiences across various regions.

The Global Learning & Development (L&D) Program Manager will spearhead the design, governance, and implementation of IMC’s worldwide learning initiatives across various regions. In this pivotal role, you will collaborate closely with global business leaders, HR teams, and regional stakeholders to effectively translate IMC’s strategic objectives into scalable learning programs that enhance leadership skills, expedite time-to-productivity, and elevate organizational performance. Your leadership will be crucial in the collaborative development and management of a comprehensive portfolio of global learning programs aimed at addressing skill gaps and fostering future capabilities. You will be responsible for delivering tailored learning solutions that are practical, repeatable, and sustainable, ensuring they align with our global strategy and are well-received throughout the organization.

We are seeking a dedicated and experienced Interim Support Services Manager to lead our support services team. In this interim role, you will be responsible for overseeing the operations, ensuring the delivery of high-quality support services, and fostering an inclusive environment for both staff and clients.Your leadership will be crucial in managing resources, developing strategies to improve service delivery, and collaborating with various stakeholders to achieve organizational goals. If you are passionate about making a positive impact in the community and have a proven track record in support services management, we would love to hear from you!

Upwork Inc. connects businesses with skilled professionals in AI, machine learning, software development, sales, marketing, customer support, finance, and accounting. The company’s platforms, including the Upwork Marketplace and Lifted, help organizations of all sizes find and manage freelance, fractional, and payrolled talent for a range of contingent work needs. Upwork supports both large enterprises and entrepreneurs in sourcing talent and implementing AI-driven solutions. The company’s network covers more than 10,000 skills, enabling clients to scale and adapt their workforce for changing business demands. Since launch, Upwork has processed over $30 billion in transactions. The company’s mission centers on expanding opportunities at every stage of work. Learn more Visit the Upwork Marketplace: upwork.com Learn about Lifted: go-lifted.com Connect on LinkedIn, Facebook, Instagram, TikTok, and X Follow Lifted on LinkedIn

Harrison Street Asset Management (HSAM) stands at the forefront of global alternative investment management, specializing in real estate, infrastructure, and credit strategies across North America and Europe. With headquarters in Chicago, Toronto, and London, along with additional offices spanning North America, Europe, Asia, and the Middle East, HSAM manages over $108 billion in assets on behalf of institutional investors and registered investment advisors worldwide. Founded on a legacy of innovation, HSAM has been a pioneer in alternative real estate and mid-market infrastructure investments. Our global team of over 520 seasoned professionals is dedicated to delivering long-term value through deep sector expertise and forward-thinking strategies. In this role, reporting to the Head of Technology Infrastructure and Support Operations, the Support Manager will oversee Harrison Street's user environment. You will be responsible for managing daily support operations, ensuring efficient service delivery, enhancing customer satisfaction, and driving continuous improvement of our systems and processes. As a Support Manager, you will provide senior-level mentorship to Desktop Support personnel and engage directly with internal customers as needed. Additionally, you will collaborate with members of the Business Technology Group and third-party vendors to implement and test new systems and services, while also updating established processes and procedures.

As a Principal Machine Learning Scientist at Turnitin, you will play a pivotal role in shaping the future of our innovative products by leveraging the power of Machine Learning. Our ambitious product roadmap offers exciting opportunities for you to collaborate with a global team of inquisitive and skilled scientists and engineers. Together, we are committed to integrating state-of-the-art Machine Learning systems into a comprehensive range of educational products that enhance learning, teaching, and academic integrity.Your work will impact hundreds of thousands of instructors and millions of students worldwide. With billions of papers submitted to the Turnitin platform and millions of assessments graded across Gradescope and Examsoft, your contributions will have a significant global reach. You'll be at the forefront of our AI Writing detection systems, providing automated feedback on student writing, and revolutionizing assessment creation and grading while playing a vital role in our backend processes.Key ResponsibilitiesDevelop and deploy novel ML models and solutions, particularly in areas where pre-existing solutions are not available.Utilize deep understanding of machine learning mathematics and deep neural networks to create innovative model architectures, loss functions, and training methodologies.Stay updated on the latest advancements in AI and Deep Learning and apply these insights to your projects.Write production-level code, ensuring models are ready for deployment across our products.Train large-scale models, utilizing multiple GPUs and nodes, while optimizing for computational efficiency.Conduct thorough dataset exploration, generation (including synthetic data), design, construction, and analysis.Prepare and deliver presentations on your work internally and contribute to publications in peer-reviewed venues.

Join Turnitin, a pioneering leader in the global education sector, where we have spent over 20 years collaborating with educational institutions to uphold principles of honesty, consistency, and fairness in assessments across all subjects. Our innovative products and services are utilized by more than 16,000 academic institutions, publishers, and corporations.At Turnitin, our default working model is remote, reflecting our respect for diverse cultures and personal choices. Headquartered in Oakland, our global presence includes offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), and Amsterdam (Netherlands). We cherish diversity and are committed to creating a community where every employee has equal access to learning and career opportunities, fostering a unique approach to talent recruitment from various backgrounds.As a Senior Machine Learning Scientist, you will play a crucial role in our ambitious product roadmap, working within a global team of dedicated scientists and engineers. Together, we aim to deliver innovative, well-engineered Machine Learning systems that integrate seamlessly into a wide array of learning, teaching, and integrity products.Your contributions will impact educators and students worldwide, as our Machine Learning technologies reach hundreds of thousands of instructors and millions of learners. With billions of papers submitted to the Turnitin platform and hundreds of millions of assessments graded on Gradescope and ExamSoft, your work will be at the forefront of revolutionizing educational tools.Key Responsibilities:Collaborate with subject matter experts and product owners to identify research questions and actionable insights.Curate, generate, and annotate datasets while adhering to responsible data collection and model maintenance practices.Translate raw data into trainable datasets using efficient SQL queries and scripting, visualizing results as needed.Develop and optimize machine learning models, ensuring robustness and readiness for production environments.

At Jump Trading Group, we are dedicated to pioneering research that shapes the future of global financial markets. Our team comprises extraordinary individuals from Mathematics, Physics, and Computer Science backgrounds who are driven to push the boundaries of scientific exploration. We foster a unique culture that thrives on innovation, creativity, intellectual honesty, and a competitive spirit. Together, we believe in harnessing our distinct talents through collaboration and mutual respect. In our pursuit of excellence, we not only aim for superior risk-adjusted returns but also design, develop, and implement technologies that transform industries, support start-ups, and collaborate with top-tier research organizations and universities to tackle complex challenges. The quantitative trading teams at Jump delve into the intricacies of global markets, utilizing advanced statistical analysis, machine learning, and deep learning techniques to develop predictive trading models that drive profitability.

Join our innovative team at Turnitin, where Machine Learning is pivotal to our ongoing success. We have an ambitious product roadmap, and you will be a part of a global team of inquisitive and dedicated scientists and engineers, all committed to delivering state-of-the-art, well-structured Machine Learning systems. Collaborate closely with product and engineering teams across Turnitin to seamlessly integrate Machine Learning into a diverse array of learning, teaching, and integrity products.With Machine Learning being utilized by countless instructors teaching millions of students globally, your contributions will have far-reaching impacts. Our platform has processed billions of submissions, and your work will enhance our AI Writing detection system, automate feedback on student writing, explore authorship, and transform assessment creation and grading processes, among other vital back-end functions.Key Responsibilities:You will be part of an applied science group focused on modern Deep Learning. As a Senior Machine Learning Scientist, you will possess a balanced skill set encompassing both the scientific and software engineering aspects of (Deep) Machine Learning. Your primary focus will be on developing novel and deployable ML models and solutions in scenarios where existing solutions may not suffice. A strong understanding of the mathematical foundations of machine learning and deep neural networks is crucial, enabling you to devise novel model architectures, loss functions, and training methods. Staying updated with the latest AI and Deep Learning research across various modalities is essential, as you will apply these insights to your work.Although we utilize established training platforms, you will also create custom training loops. Models must be deployable in our products, necessitating proficiency in production-level coding and software engineering. You may train large models (with hundreds of billions of parameters), requiring expertise in multi-GPU and node training and familiarity with the latest training and inferencing advancements. Models must excel in production, balancing accuracy and computational costs effectively. Your role will routinely involve dataset exploration, generation (including synthetic datasets), design, construction, and analysis, which may occupy a significant portion of your time. Given the scale of data (billions of samples), the ability to write parallel and efficient pipelines is essential. Additionally, you will engage in code and model maintenance, hardening models for production pipelines, developing demos, and presenting your findings.

Welcome to Adyen At Adyen, we offer an all-in-one payment, data, and financial solution for renowned clients such as Meta, Uber, H&M, and Microsoft, establishing ourselves as the preferred financial technology platform. Our mission is to empower our teams with an environment rich in opportunities for personal and professional growth, supported by a culture that fosters career ownership. Our dedicated team thrives on tackling unique technical challenges at scale, collaborating to deliver innovative and ethical solutions that drive business success globally. Position: Senior Learning Experience Designer – Tech Academy As part of our Tech Academy, a strategic talent accelerator at Adyen, we are transforming the way our global tech organization learns, collaborates, and impacts the business. By integrating rapid learning and enablement into daily operations, we equip engineers, product managers, and PX professionals with the tools to innovate swiftly, adapt to evolving circumstances, and enhance growth for our clients worldwide. In your role as Senior Learning Designer, you will work at the crossroads of technical enablement, transformation of workflows, and behavioral change, designing actionable learning experiences that seamlessly integrate into team workflows, ultimately turning learning into a catalyst for speed, ownership, and measurable business success. Your Responsibilities: Collaborate directly with tech teams across various levels and functions to create learning experiences that are intuitive, valuable, and immediately applicable. Partner with tech organization teams to embed best practices throughout the product development lifecycle. Enhance tech onboarding processes, work methodologies, and other key employee journey moments, focusing on learning and adoption to instill habits of accountability and ownership. Develop learning programs, micro-learnings, digital nudges, workflow prompts, and lightweight automations, utilizing AI tools where applicable. Regularly solicit feedback from engineers and individual contributors to identify obstacles, cultural challenges, and workflow gaps, translating these insights into relevant, practical learning solutions. Design and implement experiments to test new routines, peer accountability mechanisms, or workflow enhancements. Showcase and promote instances where tech teams demonstrate strong ownership and drive cultural transformation. Empower teams to conduct their own peer-led sessions, supported by user-friendly digital tools and AI integrations. Create feedback loops and review deployed content, iterating rapidly based on adoption rates, usage data, and insights. Review and refine learning initiatives to ensure they meet the evolving needs of our teams.

Fastly’s edge cloud platform supports organizations like GitHub, Yelp, Paramount, and JetBlue by processing and protecting digital applications close to users. The company’s mission is to create a more trustworthy Internet through secure and reliable digital experiences. Team overview The Customer Support Engineering (CSE) team serves as the primary contact for Fastly customers using the edge cloud platform. This group manages support across Tier 1, 2, and 3, focusing on both technical expertise and empathy. The team also leads Mission Control Engineers (MCEs), who deliver proactive support through the Mission Control Program (MCP). MCP emphasizes observability, advocacy, and event management, aiming to shift from reactive troubleshooting to proactive, scalable support. Strategic customers benefit from reliable assistance and strong observability during their busiest periods. What you will do Lead a distributed support team: Manage engineers at all support tiers and dedicated MCEs. Mentor the group to adopt proactive ownership and ensure the Mission Control Program can scale for high-traffic events. Drive delivery and execution: Identify workflow bottlenecks, clear obstacles, and set realistic project timelines. Oversee project completion and manage runbooks and After-Action Report handoffs to Engineering and Product for MCP activities. Oversee strategic resource governance: Use a "Swarm" approach to resolve complex customer issues, involving internal experts when needed. Monitor the health of these swarms, audit cases for compliance, and apply prioritization frameworks such as MoSCoW, Eisenhower matrices, and the EADS model to assess program health. Location This position is available in Austin, TX; Birmingham, AL; Chicago, IL; Denver, CO; Des Moines, IA; Little Rock, AR; Milwaukee, WI; Minneapolis, MN; New Orleans, LA; or Oklahoma City, OK.

As a Senior Consultant in Learning & Development at Agoda, you will play a crucial role in shaping and enhancing the learning experiences of our diverse teams. You will leverage your expertise to develop strategic training programs that align with our business goals, drive employee engagement, and foster a culture of continuous learning.Your responsibilities will include conducting needs assessments, designing learning solutions, and evaluating the effectiveness of training initiatives. You will collaborate with cross-functional teams to ensure that learning programs meet the needs of our employees and support their professional growth.

Join agoda as a Senior Consultant in Learning & Development, where you will play a pivotal role in enhancing our training programs and fostering a culture of continuous learning. In this dynamic position, you will design and implement innovative learning solutions that meet the needs of our diverse workforce. Collaborate with cross-functional teams to assess training needs, develop engaging content, and evaluate program effectiveness.

Join Inspire11 as a Machine Learning Engineering ConsultantAt Inspire11, we pride ourselves on being a team of curious, intelligent, and resourceful individuals committed to delivering exceptional quality. We foster a collaborative environment that encourages innovation and accountability. Our success is tightly aligned with the success of our clients, as we partner to simplify complexities, solve sustainable challenges, and continuously elevate our thinking. Value creation is not just a concept for us; it is an integral part of our daily operations.If you are ready to make a transformative impact and thrive in a space that values bold ideas and unique perspectives, Inspire11 is the place for you.

Join us at imc as we push the boundaries of technology by deploying machine learning directly onto custom hardware. This is an exceptional opportunity for you to build innovative solutions from the ground up, influence our technical research direction, and witness your contributions make a significant impact in one of the world's most demanding computing environments.At imc, we develop our own hardware, software, and infrastructure, which empowers you to tackle bottlenecks directly without waiting on vendors or dealing with restrictive abstraction layers. If you are eager to explore the limits of computational possibilities, we invite you to apply. We are looking for both researchers and seasoned engineers from diverse backgrounds. Prior trading experience is advantageous but not necessary.

As the Automated Litigation Support Lab Manager at CGS Federal, you will harness your extensive industry knowledge and diverse experience across various operating systems and coding languages. In this pivotal role, you will oversee the delivery of lab data processing services, ensuring that all incoming productions are compliant with the relevant ESI specifications. Your expertise will guide case attorneys through any deficiencies identified in the submissions.At CGS Federal, we unite motivated and skilled professionals to tackle the most complex challenges faced by the government using innovative technology. We are seeking enthusiastic candidates ready to contribute to government innovation, embrace collaboration, and anticipate the needs of others. Our supportive environment fosters professional growth through a variety of learning opportunities.Key Responsibilities:- Serve as the lead manager for lab data processing services.- Ensure timely and accurate task completion while developing and implementing processing strategies for electronic files in line with ESI specifications.- Collaborate with attorneys and support staff on ESI best practices, and participate in teleconferences with co-counsel, client agencies, and opposing counsel as needed.- Keep clients informed about lab activities, including deadlines, technical challenges, and resource availability.- Provide webhosting support for unsupported cases managed by the lab.- Manage a team of eDiscovery professionals, handling scheduling, requirements assessments, work assignments, progress reporting, and quality control.- Advise attorneys, paralegals, and case managers on all phases of the Electronic Discovery Reference Model (EDRM), particularly: Data Collection, Processing, Hosting, Review, Analytics, and Production.