About MyBlueprintmyBlueprint is a leading developer of K-12 EdTech tools used by over 1 million students across Canada. We create best-in-class digital portfolios and career/life planning tools to support student success and documentation of learning. You can learn more about us at www.MyBlueprint.Ca.Our vision is to empower every student to thrive and succeed in education, career, and life. We're creating an active and engaging learning environment for all students, and we’re excited about what’s next. Come grow your career with us!About The OpportunityWe are building the next generation of student success technology — powered by a unified intelligence layer that connects student work, learning pathways, and educator workflows across myBlueprint and SpacesEDU.This role isnota traditional AI Product Manager position focused on feature brainstorming or experimentation. This is ahighly technical product architecture roleresponsible for designing theAI foundationthat will power every future experience in our product: guidance, feedback, assessment support, personalization, and district-aligned recommendations.You will define the systems that allow AI to understand student work, interpret progress, and support educators — all from one shared platform layer. Your focus is defining how the system behaves: the logic, flow, and structure that make the experience work. You will have support from Engineering to implement the underlying infrastructure. You’ll start as one half of a two-person team, initially on your own, with a dedicated AI-focused engineer to be hired shortly after you begin — allowing you to move quickly, think holistically, and deliver early vertical slices that evolve into core platform features.If you're energized by technical systems, data architecture, AI reasoning patterns, and designing the backbone of an AI-first product ecosystem, this is the role for you!What You Will Own:AI Foundation & Data ArchitectureYou will define the conceptual and structural blueprint for how AI understands student data across the platform, including:Architecting the foundational learner data modelDefine relationships across student work, plans, goals, opportunities, assessments, and skillsDesigning schemas, relationships, and metadata strategiesDetermining which signals are precomputed vs. generated on-demandYour work becomes the backbone for all future AI-driven featuresExtraction & Retrieval System DesignYou will specify how raw student content becomes structured intelligence. This includes defining:The extraction pipeline (text, audio, image, and document signals)Data tagging and enrichment strategiesThe retrieval and indexing approachHow different sources of student information become queryable context for AIYou won’t implement the pipelines — but you will define their required behaviour with clarity and precisionRAG, Orchestration & Routing ArchitectureYou will outline the logic that determines:How the platform retrieves relevant evidence and contextHow tools and retrieval methods interact with the intelligence layerWhen generative models are used — and when they are notHow AI experiences draw from a single shared foundationThis includes defining the guidance the engineer follows to build the systemCost-Aware AI DecisioningYou will design the strategy that keeps AI reliable and affordable. This includes:Establishing an SLM-first approachDefining when LLMs are allowed to runSetting cost envelopes and routing constraintsIdentifying caching opportunities and efficiency guardrailsYou ensure we can scale AI across millions of students, sustainablyVertical Slice Scoping & DeliveryYou will scope and deliver the first end-to-end AI experiences that demonstrate platform value. This includes early vertical slices such as:AI-powered insights from student workEarly guidance and reflection experiencesInitial educator-facing AI workflowsYou define the slice, requirements, evaluation criteria, and technical expectations — and your engineering partner builds it. Experience translating system design into product decisions and user-facing impact is essentialInnovation Pod LeadershipYou are expected to join our team first, forming the initial half of a two-person innovation team. Shortly after you begin in this technical product role, we will also hire a dedicated AI-focused engineer, and the two of you will collaborate daily to move quickly,



test ideas, and deliver early vertical slices that evolve into core platform features. This will include:Setting priorities and defining the 90‑day architectural planDelivering prototypes, demos, and early pilotsEnsuring outputs integrate into the main product safely and cleanlyCollaborating closely with the Director of Engineering and Director of Product to ensure feasibility, alignment, and delivery; maintaining alignment with technical teams while operating autonomouslyWhat You Will Have:Technical Product StrengthExperience defining or architecting AI systems (RAG, embeddings, routing, data models)Ability to translate system design into product decisions and user-facing impactAbility to write clear pseudo-APIs, data contracts, JSON/proto definitionsComfort defining SLM-first pipelines and LLM escalation rulesDeep Systems UnderstandingUnderstands platforms, not isolated featuresExperience connecting multiple data sources into a unified conceptual modelAbility to design structured signals and retrieval patternsAI Architecture FluencyFamiliarity with embeddings, vector DBs, RAG patterns, multimodal pipelinesAbility to reason about token cost, latency, and reliabilityExperience with hybrid (rules → SLM → LLM) systemsProduct LeadershipExcellent communicator who can simplify ambiguous technical conceptsAbility to collaborate with engineers without taking on an engineering roleProven ability to ship 0 → 1 systemsComfort running independently with minimal oversightBonus Points For:Familiarity with EdTech or education-related technology is highly preferredFamiliarity with OpenAI, Anthropic, Google models, and SLM families (Phi, Gemma, Llama 3.X)Experience integrating district or tenant-specific datasets (eg. dual credit, apprenticeships)Experience designing evaluation harnesses for LLM outputsExperience with multi-agent architectures or tool-based orchestrationExperience integrating automation and workflow tools (eg. n8n, Slack API, Productboard API, Salesforce API) to streamline product operationsBachelor's degree in Computer Science, Data Science, or a related fieldCompensation: The salary range for this role is $110,000 - $140,000 CAD, with compensation determined based on the successful candidate's experience and qualifications.Our TeamOur team is full of talented and purpose-driven people who are dedicated to making an impact in the education technology industry. We are incredibly proud of the work we do. Joining our team means embracing a high-performance culture that aligns with our core values. Here’s what you can realistically expect:AccountabilityWe take ownership of our work and responsibilities. You'll manage a dynamic workload and may face occasional extra hours during peak periods. Our team thrives under pressure, and we hold ourselves accountable for delivering results and meeting high standards.You won't be a good fit if you're not comfortable with a demanding work environment and fluctuating workloads.CollaborationWe enhance each other's success through effective teamwork and shared goals. While most of our work is remote, we gather in the office 1-2 times a month. These in-person meetings are essential for fostering strong relationships and ensuring productive collaboration.You won't be a good fit if you prefer not to engage in occasional in-person meetings or if you struggle with remote teamwork.GrowthWe are dedicated to continuous improvement and professional development. You'll be presented with challenges that promote learning and growth in your role. We offer opportunities for skill-building and career advancement to support your ongoing progress.You won't be a good fit if you're not open to taking on new challenges and actively seeking personal and professional growth.AdaptabilityWe operate in a fast-paced workplace where priorities can shift rapidly. You'll need to adapt to changing conditions and manage multiple tasks efficiently.



You'll thrive here if you excel in a dynamic setting and embrace change.You won't be a good fit if you struggle with having a variety of responsibilities and shifting priorities.TransparencyWe prioritize clear and open communication. We're upfront about our expectations and recognize that this type of work environment is not for everyone. Accurate and honest interactions are key to ensuring you have a clear understanding of your role and responsibilities.You won't be a good fit if you're uncomfortable with open communication and transparent feedback.CommunityWe work with individuals who are genuinely passionate about education and our mission to support student success. Our team is committed to making a meaningful impact, and we seek those who share this dedication and enthusiasm for our mission.You won't be a good fit if you're not passionate about our mission or if you don't share our commitment to making a difference with our products and services.Advantages & PerksHealth and dental coverageWellness spending accountFlexible vacation days, with more earned annuallyExtra paid time off during holidays (Christmas to New Years) and quarterly wellness daysOne paid volunteer day per year to give back to a cause you’re passionate about$1,000 CAD annual learning and development fundRemote-friendly work environment with monthly In Office days for collaborationWork from anywhere for up to 2 months a yearRegular team events and outingsA results-oriented culture that rewards your efforts and fosters continuous learning and growthOur Hiring ProcessEvery new hire will have a huge impact on our organization, so we take both the hiring process and the candidate experience seriously - we know that an interview goes both ways! We will keep an open line of communication throughout the process and ensure there is time at the end of all interviews for candidates to ask any questions.We carefully review each candidate's application for the role. If there is a match, we'll reach out to invite you to the next stage. Our hiring process will generally follow this format:Interview with Senior Manager, People Operations – Your first interview will be a call with our Senior Manager, People Operations. This conversation helps us get to know you better and learn more about your experience, career goals, and interest in the role. You can also expect a few behavioural questions to understand how you’ve approached past challenges and opportunitiesInterview with Director, Product – Next, you’ll meet with our Director, Product for a deeper discussion about the position, your technical background, and how your skills align with our team’s goals and product directionTake-Home Project – You’ll then complete a short take-home exercise that reflects the type of work you’d be doing in this role. It’s designed to give you a sense of the challenges you’d tackle while allowing us to see your problem-solving approach in actionFinal Interview – The final step is an interview with our Director, Product and a few other team members. This stage provides an opportunity for a more collaborative discussion and for you to get a feel for the team and work environmentOffer Stage – If everything aligns, we’ll extend an offer to welcome you to the team. All offers are contingent upon successful reference and background checksHow We Use AI In HiringAt myBlueprint, we use artificial intelligence (AI) tools to assist with certain aspects of the hiring process, such as screening applicants, assessments, scheduling, and summarizing interviews. These tools support our team but do not replace human judgment, and all final hiring decisions are always made by our hiring team. We are committed to using AI responsibly, fairly, and in compliance with Ontario employment and human rights laws. Our AI tools are regularly reviewed to minimize bias and protect applicant privacy.Diversity, Inclusion & AccessibilityWe strive to build a workplace where all employees feel included, valued, and heard. We are dedicated to maintaining a barrier-free recruitment process and will work with any applicant requesting accommodation at any stage. We embrace diverse perspectives and experiences and encourage candidates to apply, even if your experience doesn’t perfectly align with the job description - there are many pathways to a successful career, and we want to hear about yours!Powered by JazzHR45XwvsTF5J#J-18808-Ljbffr

📌 Technical Product Manager, Ai Platform - C$110,000 - C$140,000 A Year (Toronto)
🏢 myBlueprint
📍 Toronto