MagicSchool AI

Events

• Manage logistics for national and regional events, including registration, shipping, AV, catering, travel, and booth coordination.
• Coordinate vendor relationships, order materials, and manage event shipping timelines and tracking.
• Maintain event inventories (booth assets, collateral, swag) and ensure materials arrive on time and in pristine condition.
• Support onsite execution: setup, breakdown, vendor check-ins, and attendee experience.
• Assist with post-event wrap-up: lead capture processing, reporting support, and invoice reconciliation.
• Maintain the event calendar, ensuring deadlines and milestones are up to date.
• Track all event assets, shipping numbers, and invoices in Asana/Notion.
• Support cross-functional communication with creative, sales, and operations teams.
• Provide administrative and coordination support to Specialists and Managers to ensure efficient event workflows.
• Update Asana/Notion project boards, calendars, and internal tracking docs in real time.

Events Coordinator

Engineer

• Find Pain Points and Opportunities
• You'll work across all our development teams to find the biggest opportunities to speed up our team, minimize distractions, and enable our product teams to focus on customers.
• Optimize Workflows
• From the developer laptop to the production build, you'll perform hands on engineering work to ensure our applications are built, tested and deployed as quickly and reliably as possible.
• Build the Next Generation Toolchain
• LLM assistants are changing developer workflows more than any other tool in decades - but if misused they might just be building a mountain of tech debt. You'll become a subject matter expert in this area - making sure LLM assistants and related tools are aligned with the team and the business.
• Expand our Platform
• Like all growth startups, we need new platforms, new infrastructure, and new services to build at the scale we need. How do we make sure that developers can jump into these new environments and succeed? That's where you come in.
• Share Knowledge
• We need all our engineers contributing efficiently; this means when we have development standards, tool configurations, and onboarding routines, these need to be shared and documented. Be ready to write developer-friendly documents and answer questions!

Senior DevEx Engineer

Backend Engineer

• Partner with application development teams to design optimal Postgres data models that support new features and scale with business growth
• Review and optimize Postgres data structures and query patterns to ensure efficient performance
• Collaborate on API design decisions that impact database structure and query efficiency
• Analyze database query load to find opportunities for efficiency gains, and implementing them practively
• Implement and maintain database observability and monitoring systems
• Manage database upgrades, backup strategies, and read replica configurations
• Troubleshoot and resolve production database incidents as part of support rotation
• Maintain and enhance adherence to devops principles in database operations.
• Plan, review and execute application data migrations, collaborating with product development teams to coordinate releases
• Implement and execute efficient large scale data migrations
• Design and implement data security / privacy tooling
• Collaborate with development and platform team to architect large scale new data persistence systems and migrate production traffic to them
• Develop and promote standards and best practices of database design and development

Senior Database Engineer

Program Manager

• Own Compliance Programs: Lead MagicSchool’s SOC 2 readiness and audits, ensuring controls are properly designed, implemented, and tested.
• Education-Specific Compliance: Maintain compliance with FERPA and COPPA, advising product and technical teams on student data privacy requirements.
• Agile Collaboration: Partner within Agile teams to embed compliance and privacy-by-design principles into product development and sprint cycles.
• Technical Partnership: Work closely with engineering and infrastructure teams to establish security and compliance best practices across cloud environments (AWS, GCP, or Azure).
• International Expansion: Research, design, and oversee compliance with global data protection laws (e.g., GDPR, PIPEDA) as MagicSchool scales internationally.
• Risk Management: Build and maintain risk frameworks to identify, assess, and mitigate organizational and technical risks.
• Policy & Process Development: Create and manage policies on data handling, access controls, vendor risk, and incident response.
• Cross-Functional Enablement: Educate and guide non-technical teams (sales, support, marketing) on compliance responsibilities and risk mitigation practices.
• Training & Awareness: Deliver compliance training programs to ensure company-wide understanding and adherence to privacy and security obligations.
• Monitoring & Reporting: Track compliance KPIs, prepare audit and risk reports, and present findings to leadership and key stakeholders.

Compliance & Risk Program Manager

Sales

• Develop and implement a strategic sales plan to achieve and exceed revenue targets, focusing on new client acquisition and expanding existing customer relationships.
• Recruit, mentor, and manage a motivated sales team, fostering a culture of accountability and continuous improvement to consistently meet sales objectives.
• Cultivate strong relationships with key clients, ensuring satisfaction, loyalty, and long-term business growth by understanding and addressing client needs.
• Collaborate closely with marketing, product, and customer success teams to drive regional sales success.
• Oversee regional sales planning, forecasting, and performance metrics, providing data-driven insights and regular updates to senior leadership.

Regional Vice President of Sales – Central/South

Customer Success Manager

• Own the strategy and execution for driving adoption, retention, and expansion across the customer base.
• Ensure NRR consistently exceeds company goals through proactive engagement, strategic value delivery, and measurable impact.
• Embed the customer voice into company-wide decision-making.
• Partner with Sales, Product, and RevOps to ensure seamless alignment across the customer lifecycle, from onboarding and adoption to renewal and expansion.
• Define and operationalize key success metrics, dashboards, and analytics to measure adoption, retention, and health trends.
• Translate insights into bold strategies and actions that improve customer and business outcomes.
• Represent the customer in executive and board-level discussions.
• Champion customer feedback in product strategy, pricing, and GTM initiatives to ensure MagicSchool’s offerings continue to drive value and differentiation.
• Lead cross-company initiatives that transform the customer journey, remove friction, and improve collaboration between departments.
• Introduce new frameworks, playbooks, and scalable solutions that enhance the customer experience.
• Build, mentor, and inspire a world-class Customer Success organization.
• Develop emerging leaders, foster collaboration across teams, and create an environment that celebrates innovation, learning, and excellence.
• Anticipate market shifts and guide the organization through transformation with clarity and confidence.

VP of Customer Success

Vice President

• Define and execute the long-term strategy for Professional Services, aligning onboarding, support, education, and solutions engineering with MagicSchool’s growth goals and customer experience strategy.
• Design and launch new services, SKUs, and delivery models that expand customer value and drive incremental ARR. Partner with Sales and Finance to develop competitive proposals, scopes of work, and pricing strategies that de-risk customer purchases and accelerate growth.
• Oversee large-scale global operations to ensure exceptional service quality, consistent adherence to SLAs, and outstanding customer outcomes. Build scalable systems and processes that ensure predictability, accountability, and efficiency across all ProServ functions.
• Partner closely with the VPs of Sales, Marketing, and Customer Success, as well as RevOps and Enablement, to ensure Professional Services acts as a cohesive extension of the customer journey, from pre-sales through renewal.
• Ensure every engagement, from technical implementation to ongoing education, enhances customer adoption, time to value, and satisfaction. Use data and insights to continuously improve delivery models and inform company strategy.
• Represent Professional Services and the broader customer experience in executive discussions, board presentations, and external forums. Deliver clear, data-driven narratives that communicate impact, performance, and opportunities.
• Build, mentor, and inspire a high-performing leadership bench across ProServ. Develop senior managers and future executives who can scale the organization while maintaining operational excellence and innovation.

VP of Professional Services

Solutions Engineer

• Bridge Curriculum & Instruction: Articulate and design AI-driven solutions that seamlessly connect district curriculum priorities to instructional practices.
• Regional Relationship Building: Develop deep relationships with districts in your territory, each with distinct local, cultural, technical and instructional needs.
• Pre-Sales Expertise & Presentations: Lead live demos, deliver compelling presentations, and facilitate engaging discussions—often solo—to diverse district audiences.
• Consultative Solutioning: Apply pedagogical expertise and consultative skills to unpack state standards as you architect AI workflows that delight educators and improve student learning.
• Pilot & RFP Support: Partner with Account Executives to secure new district clients, including RFPs, pilots, and key account engagements.
• In-Person Client Engagement: Travel frequently to meet with districts, lead workshops, attend many conferences, conduct technical reviews, and provide hands-on guidance.
• Market Expansion: Identify strategic state and district AI priorities, expanding MagicSchool AI’s Total Addressable Market.
• Strategic Alignment: Align sales strategies with product strategy, ensuring MagicSchool AI solutions meet market demands.
• Champion Client Needs: Gather insights from Sales, Marketing, Success, and Product teams to design scalable systems that better serve districts.
• Sales Enablement & Training: Capture best practices from the field and translate them into training and enablement resources that level up Account Executives and improve overall sales execution.
• Thought Leadership: Leverage data, research, and industry best practices to inform strategies, while using creativity and ingenuity to ensure delightful user experiences.

Senior Solutions Architect

• Articulate and design AI-driven solutions that seamlessly connect district curriculum priorities to instructional practices.
• Develop deep relationships with districts in your territory, each with distinct local, cultural, technical and instructional needs.
• Lead live demos, deliver compelling presentations, and facilitate engaging discussions—often solo—to diverse district audiences.
• Apply pedagogical expertise and consultative skills to unpack state standards as you architect AI workflows that delight educators and improve student learning.
• Partner with Account Executives to secure new district clients, including RFPs, pilots, and key account engagements.
• Travel frequently to meet with districts, lead workshops, attend many conferences, conduct technical reviews, and provide hands-on guidance.
• Identify strategic state and district AI priorities, expanding MagicSchool AI’s Total Addressable Market.
• Align sales strategies with product strategy, ensuring MagicSchool AI solutions meet market demands.
• Gather insights from Sales, Marketing, Success, and Product teams to design scalable systems that better serve districts.
• Capture best practices from the field and translate them into training and enablement resources that level up Account Executives and improve overall sales execution.
• Leverage data, research, and industry best practices to inform strategies, while using creativity and ingenuity to ensure delightful user experiences.

Solutions Architect

Performance Marketing

• Own the integrated demand generation strategy to deliver qualified free users and MQLs that meet or exceed downstream activation and opportunity creation benchmarks.
• Partner with the Growth Product team to align on acquisition profiles, target segments, and free user activation goals.
• Align with Sales to ensure MQLs meet ICP and engagement criteria for high conversion to SQLs and Opportunities.
• Provide acquisition and pipeline forecasts, conversion insights, and strategic recommendations to the executive team.
• Balance acquisition volume with quality, ensuring that growth in signups/MQLs leads to measurable improvements in downstream conversion and revenue impact.
• Lead multi-channel campaigns designed for both self-serve PLG and enterprise ABM motions.
• Own ABM strategy for 1:Many, 1:Few, and 1:1 plays targeting priority accounts and strategic districts/states.
• Continuously optimize campaigns for CAC efficiency, funnel conversion rates, and LTV impact.
• Lead the national and regional events strategy—trade shows, conferences, executive dinners, and roadshows—that generate high-quality leads and accelerate deals.
• Integrate events with ABM and digital campaigns for pre-, during-, and post-event engagement that maximizes ROI.
• Manage and develop a cross-functional demand gen team, including Demand Generation Manager and Events & Regional Marketing Team.
• Attract, hire, and develop top talent across specialties, creating a culture of accountability, performance, and experimentation.
• Be accountable for hitting ambitious acquisition targets while ensuring the quality of leads supports strong downstream conversion to Plus subscriptions and enterprise opportunities.

Director of Demand Generation

LLM Engineer

• Design and implement highly reliable agent orchestration systems, shared state management, memory systems, and multi-step workflow execution optimized for educational use cases.
• Build secure, sandboxed execution environments for agent actions with robust isolation, monitoring, and safety controls.
• Develop comprehensive evaluation frameworks for agent performance, safety assessments, A/B testing, and regression detection.
• Create unified interfaces for multiple LLM providers, integrate with educational tool ecosystems, and build connector frameworks for curriculum data and learning management systems.
• Partner with Product, Research, and Education teams to translate complex educational workflows into reliable agent capabilities from prototype to production.
• Guide engineers on agent architecture patterns, evaluation methodologies, and best practices for building reliable autonomous systems.
• Optimize agent execution for cost, latency, and quality while maintaining reliability standards required for educational environments.

Staff Software Engineer - AI Infrastructure

Data Analyst

• Understand user behavior Map key journeys (onboarding → activation → habitual use). Quantify drop-offs and identify behaviors linked to long-term engagement using funnels, cohorts, and retention analyses.
• Drive product growth Quantify and forecast the impact of product changes on activation, engagement, and retention using funnels/cohorts; provide evidence and confidence ranges to inform prioritization.
• Measure impact of changes Help design and analyze A/B tests with product and engineering; define primary and guardrail metrics; share results and next steps in plain language.
• Make analytics usable across teams Publish decision-ready dashboards and short write-ups that answer: what changed, why, what to do next. Keep metric definitions consistent and documented; contribute to model development so trusted data is easy to reuse.
• Support customer-facing reporting Help define and maintain usage metrics for school/district admins (embedded or in-product), with reliability checks and clear definitions.
• Run clean intake for ad-hoc requests Triage by impact/effort/urgency/data-readiness; set acceptance criteria and timelines; ship the smallest useful artifact first; templatize common asks.

Senior Data Analyst

Product Manager

• Lead exploration, development, and launch of an entirely new AI-powered product line at MagicSchool
• Evaluate, define, and execute the product vision for new AI-powered products in education
• Operate in highly ambiguous environments, driving 0→1 innovation by rapidly testing, validating, and scaling new ideas
• Represent the voice of educators and students, balancing user needs with business goals
• Partner cross-functionally with engineering, design, marketing, and other stakeholders to bring initiatives to life
• Build strong business cases for investment in AI initiatives using data and research to prioritize effectively
• Responsible for evaluating opportunities for new AI-powered products and translating opportunities into high-impact products for educators and students

Senior Product Manager, AI Applications

• Lead the exploration, development, and launch of an entirely new AI-powered product line at MagicSchool.
• Evaluate, define, and execute the product vision for new AI-powered products in education.
• Operate in highly ambiguous environments to drive 0→1 innovation through rapid testing, validation, and scaling of ideas.
• Represent the voice of educators and students, balancing user needs with business goals.
• Partner cross-functionally with engineering, design, marketing, and other stakeholders to bring initiatives to life.
• Build strong business cases for investment in AI initiatives using data and research to prioritize effectively.

Senior Product Manager – AI Special Projects

• Own the systems and integrations that make MagicSchool’s AI-powered tools possible
• Ensure school and district data (SIS, LMS, and other data sources) is seamlessly ingested, organized, and usable
• Prioritize integrations between core education systems and MagicSchool products given new feature opportunities and customer needs
• Partner with engineering to deliver reliable, scalable and innovative data ingestion solutions (APIs, SMTP dump, etc)
• Define and monitor metrics for data reliability, latency, and coverage to improve user confidence in AI tools
• Troubleshoot and root cause connectivity issues, collaborating with engineers to identify tradeoffs and long-term solutions
• Ensure that user data flows into downstream systems in a way that unlocks AI-driven insights and features

Senior Product Manager – Data Integrations

• Lead the exploration, development, and launch of an entirely new AI-powered product line at MagicSchool
• Evaluate, define, and execute the product vision for a new AI-powered product in education
• Operate in a highly ambiguous environment, driving 0→1 innovation by rapidly testing, validating, and scaling new ideas
• Represent the voice of educators and students, balancing user needs with business goals in new AI-driven product lines
• Partner cross-functionally with engineering, design, marketing, and other stakeholders to bring new initiatives to life
• Build strong business cases for investment in AI initiatives, using data and research to prioritize effectively

Senior Product Manager, AI Experiences

Product Designer

• Influence strategy and roadmap decisions while leading end-to-end design execution as a Senior Product Designer embedded in a product squad
• Own the end-to-end design process—anticipate needs, shape feature direction, develop concepts, gather feedback, and iterate quickly
• Lead or collaborate on user research (interviews, usability testing, surveys, and data analysis) and translate findings into actionable insights and design principles
• Create impactful, research-backed user experiences that balance user goals, business priorities, and technical feasibility
• Ensure designs are accessible, inclusive, and meet usability standards
• Represent the customer voice through strong design advocacy, leveraging both qualitative and quantitative insights
• Apply best practices to create intuitive, scalable interfaces; adhere to design system rules and contribute to the system’s growth and evolution
• Partner with engineers, PMs, and designers to drive alignment, solve challenges, and deliver high-impact features
• Contribute to the growth of design culture within the organization

Senior Product Designer

Data Scientist

• Analyze user funnels to identify drop-off points and optimization opportunities
• Build cohort analyses (or similar)
• Understand retention patterns and user lifecycle
• Work with product and marketing to develop segmentation strategies
• Create predictive models for user activation, conversion, and churn
• Design dashboards that track growth metrics and experiments
• Partner with product and marketing teams to design A/B tests
• Analyze experiment results with appropriate statistical methods
• Document learnings and build institutional knowledge
• Develop growth product roadmaps based on impact and effort
• Define and instrument key growth metrics (activation, engagement, retention)
• Build regression-based product attribution models that connect user behaviors and characteristics to retention, health scores, and product engagement outcomes
• Develop health scores and user quality metrics
• Create early warning systems for user churn
• Track and analyze both self-serve and sales-assisted conversion paths
• Collaborate with engineering on data infrastructure and instrumentation
• Support marketing with campaign analysis and audience selection
• Enable sales teams with lead scoring and account intelligence
• Partner with product on feature impact analysis
• Communicate insights to stakeholders at all levels

Senior Data Scientist, Growth

QA Engineer

• Be an active partner in shaping our QA approach and processes.
• Define testing strategies across frontend, backend, and API layers to ensure we test the right things at the right level.
• Help engineers define and write tests but not own every test — especially unit tests.
• Establish and maintain the QA infrastructure, frameworks, and tooling needed for efficient testing at scale.
• Perform ad-hoc manual testing for new features and high-risk areas.
• Design and execute regression testing plans to prevent unexpected breakages.
• Lead business-critical path testing to ensure the core user flows always work flawlessly.
• Build and maintain automated test suites where they drive significant value — especially around integration, end-to-end, and regression testing.
• Work closely with engineers to embed quality into the development process from day one.
• Collaborate with product managers and designers to define acceptance criteria, edge cases, and risk areas early in the lifecycle.
• Advocate for quality-first thinking, ensuring we deliver features that are not only functional but also robust and reliable.
• Act as a bridge between engineering, product, and users to make sure we’re building the right things and validating them thoroughly.

Senior QA Engineer

Account Executive

• Introduce MagicSchool to smaller K-12 school districts and establish presence
• Develop and manage a robust sales pipeline to achieve booking targets
• Close deals to meet quota and drive bookings
• Cultivate relationships with superintendent cabinet members to drive consensus and procurement
• Leverage district successes to expand into neighboring districts
• Manage procurement, evaluation, negotiation processes including legal, RFPs, pilots, and POCs
• Collaborate with product, finance, success, marketing, and other teams to customize offerings

Account Executive, K12 Education – Inside

Full-stack Engineer

• Lead complex projects and make high-leverage architectural decisions balancing speed, quality, and scalability
• Own features or systems from design to deployment, ensuring clean integration with architecture
• Design and build core APIs, services, and frameworks to power products and developer experience
• Write clean, maintainable, well-tested code and drive best practices for reliability and performance
• Coach and mentor engineers and influence technical direction across teams
• Partner with product managers, designers, and stakeholders to deliver solutions
• Help shape engineering culture, improve processes, and identify opportunities to make development faster and safer