Lead Technical Recruiter (Manager, IC) - Canada AI Hub

Description

The company is the company Canada, based at 161 Bay Street in Toronto, Ontario, Canada. It has been in banking for 30 years and is putting more money into applied AI, machine learning and data science.

The role is a Manager-level Technical Recruiter working as a senior individual contributor. You will lead hiring across Toronto and the wider Canadian AI market, working directly with senior engineering and research leaders on hiring plans, talent market insight and sourcing approaches for competitive AI candidates.

Responsibilities

• Run full-cycle hiring for specialized AI Engineering, Machine Learning, Applied Research, MLOps and AI Platform roles, from sourcing through offer acceptance.
• Build talent pipelines for AI and ML candidates in Toronto, Waterloo, Montréal and Vancouver using research communities, academic networks and advanced sourcing platforms.
• Work with Engineering and Research leaders to set hiring priorities, plan recruiting strategies and share talent market insight.
• Use recruiting metrics and talent intelligence to improve pipeline quality, hiring speed, candidate conversion and offer acceptance rates.
• Promote structured hiring practices, simplify recruiting processes, and give candidates and stakeholders a strong experience from start to finish.

Requirements

• At least 5 years of managing full-cycle technical recruitment in high-growth technology companies, large enterprises or executive search.
• At least 2 years of specialized recruiting or sourcing in AI, machine learning, deep learning, natural language processing, computer vision, applied research or advanced data science, including hiring senior individual contributors and technical leaders at Manager, Senior Manager, Director or Senior Director level.
• At least 2 years of recruiting in Canada's technology market, with knowledge of talent in Toronto, Waterloo, Montréal and Vancouver.
• Proven skill in passive sourcing using GitHub, Google Scholar, Boolean and X-ray searches, research publications and technical conferences.
• Proven ability to handle complex compensation talks, including equity buyouts, sign-on incentives and competing offers, and to close offers with in-demand technical candidates.
• Preferred: a Bachelor's Degree.
• Preferred: experience designing structured intake processes, competency-based evaluation frameworks, actionable interview debriefs and clear service-level agreements (SLAs) to speed hiring decisions and improve candidate conversion.
• Preferred: a solid grasp of the AI and ML talent landscape, able to tell AI Engineers, Applied Researchers, Data Scientists and ML Infrastructure Engineers apart and assess specialized skills without scripted evaluations.
• Preferred: extensive experience advising Research VPs, Engineering Directors and senior technical stakeholders on talent strategy, workforce planning and key hiring priorities.
• Preferred: strong relationships with national AI institutes (Vector Institute, Mila, Amii, Scale AI) and top technology universities.

Conditions

Hybrid work with 3 days per week in the office.

The expected annual salary is $130,000 to $148,400.

The role is eligible for performance-based incentive pay, which may include cash bonuses. Incentives may be discretionary or non-discretionary depending on the plan.

This is an existing vacancy.

The company uses AI to support recruiting but every hiring decision is made by people: hiring managers, business interviewers and recruiters.

Accommodation requests for people who visited the careers website can be sent to the company's site or 1-800-304-9102. Information is kept confidential and used only as needed to provide accommodations.

Any role posted in Canada is for the company Canada, not another entity of the company Financial.

Benefits

• Support for growth, including access to tools, mentorship and upskilling to shape your career path.
• Full coverage for spouses, domestic partners and dependents.
• A one-time Work From Home allowance for your workspace.
• Up to $3,000 in mental health coverage.
• Up to $5,000 in annual tuition subsidies.