• Define, own, and execute the long‑term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. • Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. • Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. • Provide hands‑on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. • Raise the bar for technical excellence while fostering an inclusive, high‑engagement team culture. • Oversee the development and productization of ML models addressing real‑world document and biometric challenges at scale. • Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high‑quality model delivery. • Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. • Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. • Build high‑performing teams that balance innovation with operational excellence. • Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. • Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high‑impact delivery. • Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. • Represent Documents & Biometrics in cross‑company forums related to AI strategy, governance, and innovation. • Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. • Contribute to company‑wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. • Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. • Ensure adherence to industry best practices, architectural standards, and engineering quality bars. • Maintain high levels of team morale, engagement, and delivery velocity.

• Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions • Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable • Configures commercial off the shelf solutions to align with evolving business needs • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively • Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice) • Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations • Attends conferences and learns how to apply new innovations and technologies where appropriate • Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives • Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements • Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products • Proactively creates and maintains tools for monitoring and support • Participates in project planning and management across multiple efforts • Develops formal training courses • Fields questions from other product teams or support teams • Monitors tools and participates in conversations to encourage collaboration across product teams • Provides application support for software running in production • Proactively monitors production Service Level Objectives for products • Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

• Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions • Documents, reviews, and ensures that all quality and change control standards are met • Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases • Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production • Program configuration/modification and setup activities on large projects using HD approved methodology • Configures commercial off the shelf solutions to align with evolving business needs • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively • Participates in learning activities around modern software design, machine learning, and development core practices • Fields questions from other product teams or support teams • Monitors tools and participates in conversations to encourage collaboration across product teams • Provides application support for software running in production • Proactively monitors production Service Level Objectives for products • Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Learning Manager Location: Georgia, remote with regular travel in the USA Salary: $72,000 - $78,000 p.a. (full-time equivalent, dependent on experience) Basis: Permanent contract; full-time, part-time or flexible Eligibility: You must be eligible to work in the USA The role We are looking to recruit an experienced educator to join the Raspberry Pi Foundation.  The role will contribute to the development of high-quality educational materials and professional learning experiences across our programmes for young people aged 8 to 18. You will have a background in computing science education, mathematics education, or a closely related field, with a track record of having created curricula, resources, learning experiences, or teacher professional development activities.   Artificial intelligence and machine learning applications are already changing many aspects of our lives. Young people who understand how AI works will be better equipped to engage with the world around them, make informed decisions about using and creating AI applications, and choose what role AI will play in their futures. A central part of this role will be supporting and advancing Experience AI, an educational program that offers cutting-edge resources on artificial intelligence and machine learning for teachers and students aged 11–14. Developed in collaboration by the Raspberry Pi Foundation and Google DeepMind, Experience AI supports teachers in this exciting and fast-moving area of AI and gets young people passionate about the subject. You will play a key role in adapting, delivering, and scaling this program in the US, while contributing to its ongoing development. This role is based in Georgia, a location in the US where we have an established team. While some work will focus locally, a significant portion will be national in scope, with opportunities to travel across the US. We work hard to make sure that the Foundation is a place where everyone is supported to do the best work of their careers. We have a flexible and collaborative approach to all aspects of our work. If you're the right person for the job, we’ll make it work for you, and you can be confident that you’ll be joining an exceptional team of people who care about our mission and each other. Responsibilities - Develop and deliver learning experiences, content, resources, and training for the Foundation's educational programmes and products. - Ensure that learning experiences, content, resources, and training reflect evidence-based pedagogy and the Foundation's agreed approaches to teaching and learning across formal education and non-formal learning. - Contribute to the development of the Foundation's teaching and learning strategy and approaches. Actively engage with research and best practice, and identify areas for improvement and innovation. - Work collaboratively with colleagues across the organisation and external partners. - Engage positively with the Foundation's systems for quality assurance, including in relation to agreed policies for inclusion and accessibility. - Proactively utilise user feedback and data to drive improvement. - Represent the Raspberry Pi Foundation to external audiences and stakeholders as required. - Contribute to the Foundation's thought leadership through writing articles and blogs, public speaking, and contributing to research and evaluation. Experience and personal attributes We recognise that everyone has the potential for growth. We welcome applications from candidates who can demonstrate that they have some, but not necessarily all, of the experience and personal attributes listed here.  - A thorough understanding of computing, with a degree or equivalent qualification in Computer Science, Mathematics or a related subject.   - A teaching qualification or significant experience of teaching with at least 3 years experience of teaching computing science, mathematics, or a closely related field at middle and/or high school level. - Experience in designing and implementing AI literacy curriculum for students, combined with a demonstrable interest in the latest developments in AI for education. - Experience of delivering high quality learning experiences, content, resources, or training in a variety of different settings and contexts. - Comfortable with a broad range of technologies, including hardware and software platforms, and the ability and willingness to learn new technologies as required. - An understanding of computing pedagogy within formal education and informal learning. - A commitment to the Foundation's mission and values, including on diversity, equity, and inclusion. - Flexibility, adaptability, and a collaborative approach to working with colleagues and external partners. Openness to working across the Foundation's programmes and products. - Willingness to travel in the US and potentially internationally. About us The Raspberry Pi Foundation is an independent nonprofit with a global mission to enable young people to realize their full potential through the power of computer science and digital technologies. In the US we operate through Raspberry Pi Foundation North America which is a registered 501(c)(3) organization. We empower schools to teach computer science and AI literacy through free curricula, classroom resources, purpose built software tools, and professional development for teachers. We inspire young people to become tech creators through the world's largest networks of coding clubs. We undertake original research that informs our work and which we use to advance the field of computer science education more broadly. All of our resources and learning experiences are available for anyone to use at no cost. We are particularly focused on creating opportunities for young people who experience educational disadvantage and those who come from backgrounds traditionally underrepresented in technology industries.  Over the past decade, we have supported hundreds of thousands of educators and tens of millions of students. We have teams in six countries (India, Ireland, Kenya, South Africa, the UK and US) and partnerships with mission-aligned non-profit organisations in over 60 countries.  We are at the forefront of the global educational movement to expand access to computer science education and AI literacy. You can learn more about our work in our latest Annual Report. Benefits In addition to competitive salaries, we offer a range of benefits for all of our colleagues, including: - Paid time off. In addition to public holidays, full-time employees in the US receive 15 days of paid time off, plus 3 additional days of paid time off for the company-wide closure at the end of each year.  - Retirement Savings Plan (401)(k). We match 100% of employee contributions up to the first 5%.   - Private Healthcare. We provide private healthcare (including dental and vision) for you and for your dependents through United Healthcare and Guardian. - Flexible working. We have clear policies to provide flexibility over when and where you work, helping you balance work responsibilities with the rest of your life. - Support for parents and carers. We provide generous family leave and flexibility for parents and carers.  - Group term life insurance & disability insurance. We provide insurance and income protection schemes to provide peace of mind for you and your family.  - Investing in learning and development. We invest in your growth and development, including through access to learning resources and training, with dedicated time for all employees.  Timetable for applications Closing date: 30 March 2026, 9.00am ET  Phone screen: Week of 06 April 2026 First interview: Week of 20 April 2026 Second interview: Week of 27 April 2026 Our recruitment process All of our workplaces are inclusive spaces where we want people to feel respected, valued, and able to do their best work. We are committed to building teams that bring together people with a broad range of backgrounds, skills, and perspectives. That starts with our recruitment process.  Here's what you can expect:  - As part of your application, you will be asked to respond to a small number of questions that we will use to screen your eligibility for the role. You will also be asked to provide your resume and a short cover letter.  - Eligible applications will be reviewed by our recruitment team and the hiring manager.  - A small number of candidates will be invited to a phone call with the hiring manager. The purpose of this call is to check our understanding of your application and to answer any questions you have.  - We normally have two interviews, which may take place in-person. Interviews will be with the hiring manager and at least one other colleague.  - You will usually be asked to undertake a work-based assessment in advance of your interviews. This will be an opportunity for you to show how you would perform some part of the role. You will be given advance notice and clear instructions.  - If you have any questions about or feel that you need any adjustments to the recruitment process, including adjustments for neurodiversity, please contact our People and Culture team at recruitment@raspberrypi.org. We are committed to safeguarding and promoting the welfare of children and young people, and we expect all staff and volunteers to share this commitment. Everyone appointed to a role at the Foundation will be required to undergo a background check to confirm that you are a suitable person to work with children. Further background checks will be made at regular intervals thereafter.