AI Manager

Job Description:

We are seeking an experienced Machine Learning Manager to lead a team of ML engineers and data scientists. This team is responsible for developing and operationalizing AI solutions (trained and prompt-based) that power critical product features across our platform. As Senior Manager, you will drive project execution, own delivery for AI/ML initiatives, and mentor a group of engineers and ML specialists. You’ll closely partner with Product, Data, and Engineering teams to ship effective, scalable, and ethical AI solutions for millions of learners and educators.

Key Responsibilities:

• Technical Leadership: Oversee the design, implementation, and deployment of AI-powered features, including model training and prompt-based frameworks (e.g., leveraging LLMs). Guide best practices for AI development, MLOps, and system integration.
• Team Management: Grow, mentor, and manage a talented team of ML engineers and data scientists. Foster a collaborative, inclusive, and high-performance work environment.
• Project & Stakeholder Management: Ensure timely and rigorous delivery of AI initiatives. Work with Product and Engineering leads to define requirements, plan roadmaps, estimate effort, and prioritize work.
• Innovation & Quality: Encourage experimentation, rapid prototyping, and continuous improvement. Ensure robust evaluation and monitoring of AI solutions.
• Scale & Reliability: Partner with DevOps and Developers to build scalable, reliable, and cost-efficient AI services.
• Ethics & Compliance: Champion best practices for responsible AI (privacy, fairness, safety). Stay abreast of regulatory requirements and lead compliance efforts for AI solutions.

What We’re Looking For:

• Experience:
  • 7+ years of experience building production-grade AI/ML solutions, with 3+ years in a formal team leadership or management role.
  • Demonstrated success delivering both trained (supervised, unsupervised, etc.), prompt-based (LLM-powered, few-shot, etc.), and multi-modal AI systems.
  • Demonstrated expertise in model evaluation—designing and implementing both manual review protocols and automated test suites.
• Technical Skills:
  • Hands-on expertise in Python and common AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, etc.).
  • Deep understanding of end-to-end ML lifecycle: data ingestion, model training, evaluation, deployment, and monitoring.
  • Experience operationalizing LLMs and integrating prompt engineering workflows.
  • Proven experience designing, training, and deploying multi-modal models leveraging diverse data sources (text, image, audio, video).
• Leadership:
  • Excellent mentorship, communication, and stakeholder management skills.
  • Proven ability to lead with empathy, clarity, and accountability.
• Delivery:
  • Track record of managing cross-functional projects from ideation to production.
  • Ability to align technical vision with business impact in a fast-paced environment.
• Preferred:
  • Experience in EdTech or education-related domains.
  • Familiarity with regulatory and ethical considerations in ML model evaluation.

The annual salary range for this position is $195,000 - $220,000 USD or $160,000 - $190,000 CAD, plus equity. Please note that the final offer amount is determined by multiple factors, including geographic location as well as candidate experience, and may vary from the amounts listed above​.