Technical Product Manager, AI Systems - Toronto - myBlueprint

Description

  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 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 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.

We're hiring a Technical Product Manager, AI Systems & Architecture, to define and operationalize the architectural backbone of our AI systems.

This role is architect-first, feature-second.

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 on 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.

Success in this role is measured by: Clear, structured architectural decisions Crisp documentation and scoping Systems that are ready for engineering execution Vertical slices shipped with defined evaluation criteria This is not a "prompt ideation" or research-heavy strategy role.

It is a systems design and delivery role .

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 Platform Architecture  You will lead the definition of the architectural backbone that enables AI capabilities across the product, including: Designing the foundational learner data model that AI systems reason over Defining relationships across students, plans, goals, competencies, assessments, and artifacts Specifying schemas, metadata strategies, and signal hierarchies Determining which signals are precomputed vs.

generated on-demand Establishing the system contracts engineers build against Your work becomes the structural layer that all AI-powered experiences rely on.

Extraction & Retrieval System Design You will define how raw student data becomes structured intelligence.

This includes: Designing the transformation pipeline from content (text, images, documents) into usable signals Defining tagging, enrichment, and indexing strategies Specifying retrieval logic and ranking approaches Determining how context is assembled for AI reasoning Defining failure states and fallback behaviours You will not implement pipelines — but you will define their required behaviour with precision.

Orchestration & Model Routing You will define the rules that govern how AI models are used across the platform.

This includes: When retrieval is used vs.

when generative reasoning is invoked How different tools and model types interact Model selection strategies based on cost, latency, and quality constraints Guardrails for safe and consistent outputs Shared foundations across AI experiences You define the playbook that engineers execute.

Cost, Reliability & Guardrails You will ensure the AI platform scales responsibly.

This includes: Establishing an SLM-first philosophy where appropriate Defining cost envelopes and routing constraints Identifying caching and efficiency strategies Designing monitoring and evaluation signals Ensuring multi-tenant data isolation and privacy You ensure AI remains reliable, affordable, and scalable.

Vertical Slice Delivery You will scope and deliver the first end-to-end AI experiences that demonstrate platform value.

This includes: Defining realistic, constrained vertical slices Writing clear specifications that move from input → system logic → output → evaluation Partnering with engineering to ship working demos Defining quality benchmarks before release Success is measured by working slices — not abstract strategy.

Innovation Pod Leadership You will form the foundation of a small, high-leverage AI pod.

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 you two 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 This role requires independent judgment, disciplined scoping, and execution bias.

What You Will Have Core Capabilities & Technical Experience Crisp, structured communication Ability to define a realistic MVP scope (and clearly state what's out of scope) Systems thinking across data, model, UX, and evaluation layers Comfort working at the intersection of product and architecture Hands-on technical experience with: Retrieval-augmented generation (RAG) pipelines Embeddings, vector databases, and hybrid retrieval Model routing and orchestration strategies AI evaluation approaches (human-in-the-loop, regression testing, signal tracking) Defining data contracts, schemas, pseudo-APIs, or structured JSON interfaces You don't need to be an ML engineer — but you must think in architectural systems, not just features.

Experience in any of the following areas is a plus: Education technology environments Evaluating and selecting foundation models (cost, latency, quality tradeoffs) Designing LLM evaluation systems (regression datasets, scoring rubrics, human review, monitoring) Building orchestration layers (multi-agent systems, tool calling, routing logic, fallback strategies) Working in multi-tenant or privacy-sensitive environments Integrating district- or tenant-specific datasets into AI workflows Automation and API integrations (e.g., n8n, Slack, Salesforce, Productboard) Compensation The salary range for this role is $120,000 - $150,000 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.

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   Powered by JazzHR