Senior Product Manager

Top Hat • Full-time • Remote (Canada) • 2d ago

Fast Facts

The Senior Product Manager at Top Hat is responsible for shaping the future of course material management by designing, experimenting, and delivering innovative solutions that enhance learning experiences for instructors and students.

Responsibilities: The role involves defining product strategies, running rapid experiments, collaborating with cross-functional teams, and leveraging data to deliver impactful educational technology solutions.

Skills: Candidates should have 3-5 years of product management experience, a technical foundation, data analysis skills, and a strong interest in AI technologies with excellent communication abilities.

Qualifications: Experience in SaaS environments, familiarity with A/B testing, and exposure to content management products or educational technology will be beneficial.

Location: Remote work in Canada with no specified travel requirements

Compensation: Not provided by employer. Typical compensation ranges for this position are between $90,000 - $130,000.

As a Senior Product Manager at Top Hat, you’ll help shape the future of course material management. You’ll design, experiment, and deliver experiences to help instructors create interactive, relevant, accessible course materials to inspire students in their learning journeys.

You’ll move fast — testing ideas, validating assumptions through lightweight experiments, and working hand-in-hand with engineers and designers to bring the best solutions to life. You’ll also explore how emerging technologies, including AI, can enhance the course design and content management journey, and deepen our understanding of student engagement and learning progress in the course.

This is a hands-on, high-impact role for a technically fluent PM who loves to learn, iterate, and see ideas turn into features that instructors can’t imagine teaching without.

Example Projects You Might Work On

You’ll take ownership of initiatives that strengthen Top Hat’s position as the instructor favourite for creating fully customized, optimized learning experiences for their students.

Faster, easier, better: Provide instructors with the tools to create the accessible, interactive, and hyper-relevant learning experiences for students that they could only dream of doing in the past. Explore how AI agents can be used to eliminate repetitive, manual tasks and massively streamline the course content management process. Use technology to empower instructors to operate efficiently, effectively, and at scale.
Next-level interactivity: Explore how rapidly evolving AI can be used to create new, innovative forms of interactive content to stimulate and engage students in more meaningful ways.
Integrations: Explore ways to break down barriers between platforms, allowing instructors to kickstart their content creation journey in Top Hat and move effortlessly across different tools in their day-to-day.

Each project will challenge you to balance experimentation, technical depth, and user empathy — while delivering tangible improvements that instructors and students feel with every interaction.

Responsibilities

As a Senior Product Manager, you’ll own the journey from insight to impact — discovering opportunities, testing ideas quickly, and working with cross-functional teams to deliver meaningful improvements for instructors and students.

You will:

Make decisions: Create clarity in ambiguity, balancing many inputs and competing priorities to chart the path forward for your team. Move swiftly but with care, always steering towards the long-term vision.
Define and deliver value: Translate instructor and student needs into clear outcomes, measurable goals, and product hypotheses that guide your roadmap. Value outcomes over outputs.
Run rapid experiments: Curate small, focused experiments to de-risk ideas early and validate customer value before scaling features.
Collaborate closely with engineering, design, and data science: Co-plan with engineering managers on technical feasibility and sequencing; partner with design to ensure delightful, accessible experiences. Dream big and explore what’s possible with data science.
Leverage data and AI: Use analytics and emerging AI technologies to uncover insights, automate workflows, and enhance engagement in the live classroom.
Deliver and iterate with care: Manage the end-to-end delivery of features — from defining requirements and success metrics through to launch, measurement, and iteration.
Communicate context: Keep stakeholders aligned through clear storytelling, documentation, and demos that connect technical details to customer outcomes.

What You Bring

You’re curious, collaborative, and comfortable operating where product, technology, and education intersect. You care about shipping value — not just shipping features.

You have:

3-5 years of product management experience, ideally in a SaaS or platform environment.
A technical foundation — you’re comfortable discussing APIs, data flows, or system trade-offs with engineers, even if you’re not writing code daily.
A data-informed mindset — you know how to choose the right metrics, build your own dashboards, interpret data, and ask the right questions to filter the signal from the noise.
Experience running experiments — whether A/B tests, prototypes, or lightweight validation approaches — and using the results to guide decisions.
Interest in AI technologies — you stay curious about new tools and look for practical ways to apply AI in product discovery, analysis, or feature design.
Excellent communication and collaboration skills — you bring people along with context, clarity, and a shared sense of purpose.
A growth mindset — you learn fast, adapt quickly, and see challenges as opportunities to improve both the product and your craft.

Nice-to-Haves

These aren’t required, but they’ll help you ramp up faster and make an even bigger impact:

Experience working in edtech or building products for educators or learners.
Experience managing a content management product.
Exposure to real-time systems, data pipelines, or event-driven architectures.
Familiarity with A/B testing frameworks or analytics platforms (e.g., Amplitude, Mixpanel, or similar).
Previous collaboration with remote or distributed teams.

Why team members love working at Top Hat: