Math and AI Coach-Facilitator

Bank Street College of Education•New York, NY

22h•$90,000 - $115,000•Hybrid

About The Position

Bank Street Education Center seeks a Math + AI Coach / Facilitator to support the design and implementation of high-quality professional learning experiences across the mathematics portfolio, including projects focused on mathematics teaching and learning, instructional improvement, and responsible AI integration. This role will work directly with educators, school teams, and project partners to design and facilitate professional learning; provide coaching to teachers and instructional leaders; develop practice-based tools and resources; and support implementation across a range of math-focused initiatives. A significant portion of the role will support projects at the intersection of math instruction, instructional innovation, and AI-enabled teaching and learning, while also contributing to broader math coaching and facilitation efforts across the Bank Street Education Center’s math portfolio. In this role, the successful candidate will serve as a trusted instructional partner to educators and school teams, helping them move from strong mathematics practice to increasingly confident, reflective, and context-specific implementation of new approaches, including AI-supported strategies where relevant. In addition to project-based and partner-facing work, this role will also contribute to internal, college-wide learning and capacity-building efforts across Bank Street’s divisions.

Requirements

Strong knowledge of high-quality mathematics instruction and curriculum, including student discourse, problem solving, conceptual understanding, equitable participation, and the effective use of high-quality instructional materials (HQIM)
Demonstrated ability to design and facilitate professional learning for adult learners and to coach educators in implementing new instructional practices
Demonstrated AI literacy and hands-on experience using AI tools in educator-facing contexts, including the ability to apply AI thoughtfully to lesson design, differentiation, formative assessment, resource development, and professional learning
Demonstrated ability to support educators in the responsible, pedagogically grounded integration of AI into mathematics teaching and learning
Strong ability to create practical, polished professional learning materials, coaching tools, implementation guides, and facilitation resources
Strong writing, documentation, project management, organization, and communication skills, including the ability to manage multiple workstreams and maintain clear, proactive communication with internal and external stakeholders
Strong understanding of and commitment to progressive, whole-child, development-focused education
Proficiency with Google Workspace (e.g., Docs, Sheets, Slides) and other collaboration and documentation tools
Minimum Degree: Bachelor’s degree in Education, Instructional Technology, or a related field (Master’s degree preferred).
Demonstrated success supporting teachers and/or school teams through implementation of new instructional practices
Experience working in collaborative environments with multiple stakeholders and evolving project priorities
Minimum of 7 - 10 years of relevant professional experience in a combination of the following: K–12 mathematics teaching, Math coaching or instructional leadership, Curriculum or instructional design in mathematics, Professional learning design and facilitation, Education technology or AI-related instructional innovation
Flexibility in an ambiguous, fast-paced environment of quickly changing priorities and tight deadlines.
Strong communication skills (email, writing, in-person) for maintaining clear and consistent engagement with all stakeholders.
Collaborative and service-oriented approaches work with a team-first mindset, supporting colleagues and partners with flexibility, responsiveness, and clear communication to move shared goals forward.
An intersectional, anti-racist lens and strengths-based approach to equity work.
A reflective, learner-centered stance that values collaboration and continuous growth.
Comfort with ambiguity, iteration, and piloting new ideas in partnership with others

Nice To Haves

Master’s degree preferred

Responsibilities

Professional Learning Design & Facilitation Design and facilitate high-quality professional learning experiences for teachers, coaches, and school leaders focused on the intersection of math instruction and AI-enabled teaching practice
Lead workshops, institutes, model sessions, and virtual learning experiences that are engaging, practice-based, and responsive to participant needs
Translate emerging ideas about AI into accessible, pedagogically grounded learning experiences for K–12 educators
Support participants in building confidence with AI tools while maintaining focus on instructional purpose, student thinking, and equitable math learning
Coaching & Classroom-Connected Support Provide 1:1 and small-group coaching to educators and instructional leaders as they test and implement AI-supported approaches to mathematics teaching and learning
Support teachers in applying AI to lesson planning, formative assessment, differentiation, task adaptation, student work analysis, and family communication, where appropriate
Conduct site visits and/or virtual observations to review instructional practice, examine artifacts, and provide timely, actionable feedback connected to math pedagogy and implementation goals
Help educators identify high-leverage use cases for AI that strengthen — rather than replace — strong instructional decision-making
Content & Resource Development Develop, adapt, and curate practical tools, exemplars, facilitation guides, and resource collections to support professional learning and classroom implementation
Co-create math-specific AI use cases, prompts, sample workflows, and planning tools that reflect grade-band and content-area needs
Ensure materials reflect Bank Street’s commitments to developmental appropriateness, whole-child learning, and equitable access
Contribute to the documentation of emerging practices, lessons learned, and examples of impact across projects
Internal Capacity Building & Cross-Divisional Support Support the design and facilitation of internal professional learning, coaching, and capacity-building efforts related to AI across Bank Street’s three divisions
Partner with colleagues across the college’s divisions to build a shared understanding of responsible, developmentally grounded, and equity-centered AI use
Contribute to the development of internal tools, resources, and protocols that support college-wide learning and implementation
Collaborate across teams to identify emerging needs and adapt supports as the AI Learning Lab evolves
Partnership & Project Collaboration Collaborate closely with internal colleagues and external partners to align learning experiences with project goals, partner priorities, and implementation timelines
Support planning for cohort-based learning, school-based engagements, and cross-functional project meetings
Maintain clear, consistent, and proactive communication with participants and project teams regarding next steps, deliverables, and support needs
Track coaching interactions, participation trends, and project milestones using appropriate tools to support reflection and continuous improvement
Perform other duties and responsibilities as assigned in support of the evolving priorities of the AI Learning Lab, the mathematics portfolio, and the Bank Street Education Center.