Department Overview: CRECE, located within the Wisconsin Center Education Research (WCER), is a research centered dedicated to work that focuses on improving the early learning experiences of children ages 0-8, and on their families, caregivers, teachers, and communities. See https://wcer.wisc.edu/news/detail/introducing-crece for more information. Anticipated Start Date: June 15, 2026 (for summer); September 2, 2026 (for academic year) Anticipated End Date (If Applicable): August 9, 2026 (for summer); May 7, 2027 (for academic year) Remote Work Eligibility Detail: All Remote Anticipated Hours Per Week: 10 Schedule: to be determined in consultation with supervisor Salary/Wage Range/Lump Sum: $16.93 Number of Positions: 3 Qualifications: To be eligible, applications must be undergraduates from the School of Education with an interest in researching issues related to early childhood education and meet one or more of the following criteria: • From a low-income household • First in their family to attend college • From an underserved urban or rural community Knowledge, Skills & Abilities: A commitment to learning, proactively asking questions and seeking help, and following through on assigned tasks. Position Summary/Job Duties: Interns will work with both faculty and graduate students on current CRECE research projects. In addition to an hourly salary, fellows will earn one research credit per semester (2026-27 academic year). Applicants may apply for Summer 2026 or for 2026-27 Academic Year with the same application. Please indicate which time period(s) you are interested in and available for in your cover letter. Physical Demands: This role requires frequent use of a computer Institutional Statements: Equal Employment Opportunity Statement: UW-Madison is an Equal Employment, Equal Access Employer committed to increasing the diversity of our workforce. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background-people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: diversity.wisc.edu Accommodation Statement: If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website:https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/

Role Description This internship will support a national research project focused on strengthening dual enrollment and advising practices that improve student transitions from high school into postsecondary education and careers. The intern will contribute to research, analysis, and tool development that informs how colleges and their K–12 partners support students moving through dual enrollment programs. This role is ideal for someone interested in advising, education policy, innovative partnerships, systems change, and applied research that directly informs institutional practice. Duties and Responsibilities - Assist with synthesizing qualitative data from interviews, focus groups, and site visits - Support the development of reports, case studies, and field-facing resources on dual enrollment and advising - Conduct background research on dual enrollment, college advising models, and student success strategies - Collaborate with team members to organize findings and translate insights into practical tools and frameworks - Contribute to internal planning and design efforts related to dual enrollment and strategic enrollment management initiatives Qualifications - Currently pursuing a degree in education, public policy, sociology, or a related field - Strong written communication skills, with the ability to synthesize complex information clearly and concisely - Strong organizational and analytical skills - Interest in K–12/postsecondary partnerships, college access, or student success - Ability to work independently and manage multiple tasks in a remote environment - Experience with qualitative research methods (e.g., coding, thematic analysis) is a plus but not required - Proficiency in Microsoft Office Suite. Experience with Wrike or similar project management tools a plus but not required. Benefits - Practical experience in education research, policy, and systems-level strategy - Hands-on experience synthesizing qualitative data and contributing to national reports and case studies - Exposure to how colleges design and implement dual enrollment and advising strategies - Opportunities to contribute to tools and resources used by institutions across the country Core Competencies - Collaboration: Demonstrates respect, humility, and willingness to collaborate when seeking to understand others and making decisions. - Equity Mindset: Demonstrates capacity to recognize and address racialized structures, policies, and practices that produce and sustain racial inequities. - Learning Orientation: Embraces challenges, new ideas and different perspectives as an opportunity to learn; continually seeks out and applies new learning to activate change or improvements. - Systems Thinking: Defines the system and one’s role in the system. Sees relationships and the dynamic elements of the holistic system and executes work accordingly. Influences the system and maps connections to ATD’s external landscape. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and ability to adjust focus. Equal Opportunity Employer Achieving the Dream is committed to creating and maintaining a diverse work environment. Employment policies and decisions are based upon merit, qualifications, performance, and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth, or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally-protected genetic information, marital status, veteran status, or sexual orientation.

Job Description: Head of Research & Development Kobas provides Software-as-a-Service to the hospitality industry, transforming operational routines from dull, spreadsheet-based grind to quick, point-and-click management, across our core product pillars: In-Venue, Operations, Customers, Teams and Insights. Our software helps food and beverage businesses process millions of pounds of sales each year. We unite with our clients so that they can benefit from our complete hospitality system, as well as ensuring that best practices can be followed, sharing knowledge amongst our clients, providing insight, and achieving maximum ROI. So, if you enjoy a bite out to eat or enjoying a drink with friends – you’ve most likely been served using Kobas technology. Mission Statement To make it simple to provide great hospitality. Vision To be the hospitality platform that brings everything and everyone under the same roof. What you need as you grow, served up by the same team with the same vision. Complete hospitality management. The Head of Research & Development (R&D) reports to the General Manager and is responsible for leading the engineering function, ensuring the delivery of high-quality, scalable and reliable software, and leading transformation of delivery processes, ways of working and team performance across the department. This role combines leadership, delivery ownership, and strategic oversight. The Head of R&D will define and oversee the technical direction of the Kobas platform, ensuring engineering practices, tools and processes are aligned with business goals, risk controls and delivery efficiency. They will own and improve the end-to-end delivery system, ensuring work flows efficiently from prioritisation through to release. They will drive the adoption of an AI-enabled Software Development Lifecycle (AI-SDLC) including the tools, standards and ways of working required to embed AI safely and effectively into day-to-day delivery. The Head of R&D will be responsible for building a high-performing, accountable team, driving improvements in delivery, quality and efficiency, and leading change across the wider business. They are accountable for departmental performance, financial efficiency, and continuous improvement, including measurable improvements delivered through AI-SDLC and other process improvements (e.g. cycle time, throughput, quality and reliability). While this is not expected to be a hands-on engineering role, it requires strong technical understanding and the ability to guide teams and stakeholders through complex challenges. Job Responsibilities Team Management - Lead, mentor and develop a high-performing engineering team, dedicated to continuous improvement - Create a collaborative, focused environment aligned to business priorities - Promote a culture of ownership and accountability for quality across the engineering team - Ensure team members understand business strategy, product direction and their role in delivering it - Manage performance and change, supporting individuals to unlock potential Technical Leadership & Strategy - Oversee technical direction, ensuring alignment with business and product strategy - Provide guidance and technical authority to make informed decisions across complexity and risk levels - Ensure appropriate standards, architecture and practices are in place across the team - Oversee and guide the quality, scalability and reliability of the Kobas platform - Maintain awareness of industry and competitor trends to inform technical decisions Delivery & Workload Management - Own the development workflow and lifecycle, ensuring predictable and efficient output and clear communication of timelines to wider team - Manage workload distribution across the team, balancing feature development, bug fixing and maintenance including technical debt - Oversee and support the triage process, ensuring cards are clearly defined, prioritised and actionable in collaboration with the Product Manager - Establish and enforce clear expectations around turnaround times, ownership and accountability - Work closely with Product Manager and senior leadership team to align delivery with business priorities Process & Performance Optimisation - Lead evaluation and redesign of processes to improve delivery speed, quality and team efficiency - Implement and maintain effective development practices including testing, code quality and design standards - Establish clear performance metrics and ensure visibility across the team and wider business - Ensure governance, risk management and operational resilience across systems - Identify bottlenecks (e.g. code review, testing, dependencies) and implement structural solutions AI-SDLC Adoption & Transformation - Own and deliver the adoption of an AI-enabled Software Development Lifecycle (AI-SDLC), embedding AI into end-to-end product delivery (from discovery through to development, testing, release and support) - Define, implement and evolve how AI is used across the team and the AI-SDLC model, including standards, governance and good practice (eg. security, data handling, quality and appropriate use), and work collaboratively across the business to help drive an AI-first approach - Identify, introduce and improve AI tools across the development lifecycle (eg. coding, code review, testing, documentation and workflow automation), with a focus on practical and measurable efficiency gains - Support and enable the team and the wider business to adopt AI confidently through training, guidance and shared best practices - Define and track AI-SDLC success measures (eg. adoption, cycle time, throughput, quality and reliability), evaluate tools, and processes, and embed continuous improvement into long-term ways of working QA and Quality Ownership - Own the overall QA strategy and approach, including evaluation and implementation of automated testing - Ensure quality is embedded within development processes and clearly owned across the team - Assess the need for dedicated QA resource based on performance and delivery outcomes Financial & Commercial Responsibility - Manage departmental budget and contribute to efficiency ratio targets - Make informed trade-offs between cost, speed and quality - Contribute to business case development and technical planning Hands-On Contribution - Maintain sufficient technical understanding to support decision-making, challenge assumptions and guide the team - Provide oversight and support on complex technical issues where required Job Qualifications - Strong understanding of software development principles, architecture and engineering practices - Experience working closely with engineering teams in a technical environment - An understanding of principles within PHP, SQL, MVC frameworks (e.g. Symfony), React, AngularJS, LESS/SASS, AWS (RDS, EC2, Route53, Cloudwatch, SES, S3), APIs, Linux environments and version control (e.g. Git) - Experience working with legacy systems and modernising architecture - Strong understanding of Agile development and delivery practices, and experience using project management tools (eg. Youtrack/Jira) - Experience implementing automated testing and development tooling - Experience leading cross-functional transformation programmes (process, tooling and change management), ideally including AI-enabled delivery and governance Personal Characteristics - Strategic but hands-on, able to move between high-level planning and detailed execution - Strong technical credibility with the ability to challenge and guide engineers - Commercially aware, and able to balance strategic thinking with practical delivery focus - Positive, ambitious, with a can-do attitude - Influential and able to build trust across technical and non-technical stakeholders - Confident in managing complex team dynamics and addressing underperformance Business Unit: HTH Ltd Scheduled Weekly Hours: 37.5 Number of Openings Available: 1 Worker Type: RegularCareer Site: More About Jonas Software: Jonas Software is a leading provider of enterprise management software solutions, serving a wide range of vertical markets including hospitality, healthcare, construction, education, personal care, fitness, leisure, moving and legal services, to name a few. Within these markets, Jonas is comprised of over 65 distinct brands, each a respected leader in its domain. Jonas’ vision is to be the branded global leader across these verticals and to be recognized by customers and industry stakeholders as the trusted provider of “Software for Life.” We are committed to technology, product innovation, quality, and exceptional customer service. Jonas Software supports over 60,000 customers in more than 30 countries. We employ over 6,000 skilled professionals, including industry experts and technology specialists. Across our broader network, we support a global workforce of more than 30,000 employees. Headquartered in Canada, Jonas Software has a global footprint with offices around the world. We’re a 100% owned subsidiary of Constellation Software Inc., based in Toronto, publicly listed on the TSX (CSU.TO), and a member of the S&P/TSX 60 Index. IS THIS YOU?

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: - Business Insider named us an “enterprise startup to bet your career on” - Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world - Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America - Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a detail-oriented Software Engineer in Test, Product & Engineering, with a minimum of 2 years of experience in software quality engineering or test automation, to join our growing AI Apps & Marketplace Engineering team. In this role, you will develop, implement, and execute robust testing strategies for enterprise-grade AI Apps built using Workato's AI Apps Framework and Packaged Genies built using Workato's Agent Studio. You will ensure that AI Apps and Genies behave reliably, execute workflows consistently, and deliver high-quality outcomes across diverse business scenarios. Working closely with product and engineering teams, you will contribute to testing frameworks, automation suites, and validation processes that support the overall quality and evolution of Workato's AI-driven ecosystem. In this role, you will also be responsible to: - Developing and maintaining automated test suites for AI Apps, Genie Skills, workflows, and orchestrations. - Executing functional, integration, regression, and end-to-end tests to validate AI App and Genie behavior across different systems and business processes. - Translating requirements into test cases and test plans for AI Apps and Packaged Genies, working closely with senior engineers on test strategy decisions. - Collaborating with engineering, product, and solution teams to ensure test coverage aligns with established quality standards. - Creating clear documentation for test scenarios, workflows, and validation approaches. - Troubleshooting issues, identifying root causes, and partnering with engineering to drive timely resolutions. - Validating API interactions, authentication flows, and orchestration logic across multi-step, cross-system workflows. - Proactively identifying gaps in test coverage and contributing ideas to improve testing practices. Requirements Qualifications / Experience / Technical Skills - 2+ years of experience in software testing, test automation, or quality engineering. - Hands-on proficiency in test automation using scripting or programming languages such as Python, JavaScript, or Ruby, with a willingness to learn new tools as needed. - Adaptability to modern testing approaches—leveraging AI-assisted tools to accelerate test creation and effectively evaluate test results. - Solid understanding of testing fundamentals (test design, functional testing, integration testing, regression testing, workflow testing). - Experience testing APIs, REST endpoints, and authentication flows (OAuth, API tokens). - Ability to design and execute test scenarios for complex workflows and multi-step business processes. - Strong analytical skills with the ability to identify edge cases, gaps, and potential breakdown points. - Good debugging and defect isolation skills with attention to detail. - Strong communication and collaboration skills. - Ownership mindset and ability to work independently in a fast-paced environment. - Genuine interest in testing AI agents, workflow orchestration, and automation ecosystems. Soft Skills / Personal Characteristics - Strong analytical skills with the ability to identify edge cases, gaps, and potential breakdown points. - Good debugging and defect isolation skills with attention to detail. - Strong communication and collaboration skills. - Ownership mindset and ability to work independently in a fast-paced environment. - Genuine interest in testing AI agents, workflow orchestration, and automation ecosystems. (REQ ID: 2649)