Technical Product Manager, AI Platform

About myBlueprint

myBlueprint 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

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 are excited about what's next. Come grow your career with us

About the Opportunity

We 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 is not a traditional AI Product Manager position focused on feature brainstorming or experimentation. This is a highly technical product architecture role responsible for designing the AI foundation that 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:

The AI Foundation & Data Architecture

• You will define the conceptual and structural blueprint for how AI understands student data across the platform, including:
  • Architecting the foundational learner data model
  • Define relationships across student work, plans, goals, opportunities, assessments, and skills
  • Designing schemas, relationships, and metadata strategies
  • Determining which signals are precomputed vs. generated on-demand
• Your work becomes the backbone for all future AI-driven features.

Extraction & Retrieval System Design

• You 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 strategies
  • The retrieval and indexing approach
  • How different sources of student information become queryable context for AI
• You won't implement the pipelines — but you will define their required behaviour with clarity and precision.

RAG, Orchestration & Routing Architecture

• You will outline the logic that determines:
  • How the platform retrieves relevant evidence and context
  • How tools and retrieval methods interact with the intelligence layer
  • When generative models are used — and when they are not
  • How AI experiences draw from a single shared foundation
• This includes defining the guidance the engineer follows to build the system.

Cost-Aware AI Decisioning

• You will design the strategy that keeps AI reliable and affordable. This includes:
  • Establishing an SLM-first approach
  • Defining when LLMs are allowed to run
  • Setting cost envelopes and routing constraints
  • Identifying caching opportunities and efficiency guardrails
  • You ensure we can scale AI across millions of students, sustainably.

Vertical Slice Scoping & Delivery

• You 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 work
  • Early guidance and reflection experiences
  • Initial educator-facing AI workflows
• You 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 essential.

Innovation Pod Leadership

• You 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 plan
  • Delivering prototypes, demos, and early pilots
  • Ensuring outputs integrate into the main product safely and cleanly
  • Collaborating closely with the Director of Engineering and Director of Product to ensure feasibility, alignment, and delivery; maintaining alignment with technical teams while operating autonomously

What You Will Have:

• Technical Product Strength
  • Experience defining or architecting AI systems (RAG, embeddings, routing, data models)
  • Ability to translate system design into product decisions and user-facing impact
  • Ability to write clear pseudo-APIs, data contracts, JSON/proto definitions
  • Comfort defining SLM-first pipelines and LLM escalation rules
• Deep Systems Understanding
  • Understands platforms, not isolated features
  • Experience connecting multiple data sources into a unified conceptual model
  • Ability to design structured signals and retrieval patterns
• AI Architecture Fluency
  • Familiarity with embeddings, vector DBs, RAG patterns, multimodal pipelines
  • Ability to reason about token cost, latency, and reliability
  • Experience with hybrid (rules → SLM → LLM) systems
• Product Leadership
  • Excellent communicator who can simplify ambiguous technical concepts
  • Ability to collaborate with engineers without taking on an engineering role
  • Proven ability to ship 0 → 1 systems
  • Comfort running independently with minimal oversight

Bonus Points For:

• Familiarity with EdTech or education-related technology is highly preferred.
• Familiarity 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 outputs.
• Experience with multi-agent architectures or tool-based orchestration.
• Experience integrating automation and workflow tools (eg. n8n, Slack API, Productboard API, Salesforce API) to streamline product operations.
• Bachelor's degree in Computer Science, Data Science, or a related field.

Compensation: 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 Team

Our 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:

Accountability: We 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.

Collaboration: We 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.

Growth: We 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.

Adaptability: We operate in a fast-paced environment 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.

Transparency: We 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 are uncomfortable with open communication and transparent feedback.

Community: We 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.

Benefits & Perks

• Health and dental coverage
• Wellness spending account
• Flexible vacation days, with more earned annually
• Extra paid time off during holidays (Christmas to New Years) and quarterly wellness days
• One paid volunteer day per year to give back to a cause you're passionate about
• $1,000 CAD annual learning and development fund
• Remote-friendly work environment with monthly In Office days for collaboration
• Work from anywhere for up to 2 months a year
• Regular team events and outings
• A results-oriented culture that rewards your efforts and fosters continuous learning and growth

Our Hiring Process

Every 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:

1. 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 opportunities.
2. Interview 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 direction.
3. Take-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 action.
4. Final 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 environment.
5. Offer Stage – If everything aligns, we'll extend an offer to welcome you to the team. All offers are contingent upon successful reference and background checks.

How We Use AI in Hiring
At 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 & Accessibility
We 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

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