Agent Deployment Manager

Blair AI; Toronto; On-site; CAD 95,000 - 140,000; Full time

Benefits offered by this job

Extended health and dental coverage

Flexible PTO

Participation in company equity plan

Job summary

Blair AI is hiring an Agent Deployment Manager to lead the rollout and success of AI agents across clinics in Toronto. You will work directly with healthcare operators to turn messy workflows into AI solutions, overseeing implementations from kickoff to launch.

This position requires strong problem-solving skills, a customer-focused mindset, and technical fluency. Join a fast-growing team where your contributions directly impact healthcare practices across Canada.

Qualifications

• Previous experience in customer operations, consulting, or product operations is preferred.
• Fluent in technical aspects to communicate with engineering and customers.
• Experience in startups or high-growth environments is a plus.

Responsibilities

• Lead customer deployments from kickoff through to go-live.
• Translate healthcare workflows into clear AI agent behaviors.
• Work with product and engineering to surface technical needs.
• Review and improve agent performance based on feedback.
• Identify opportunities for customer expansion.

Skills

Problem Solver

Customer-Obsessed

Technically Fluent

High Ownership

Clear Communicator

Job description

About Blair AI

Blair AI builds, implements, and manages AI agents for healthcare organizations. Our agents help clinics automate front-office workflows like referral management, patient intake, scheduling, outbound calls, inbound calls, document processing, and follow-up workflows.

We are a Toronto-based health tech company helping private speciality practices and other healthcare organizations manage their patient relationships at the volume and complexity modern practices demand. In our first year, the platform supports healthcare organizations reaching over 500,000 patients across Canada.

We raised a $3M US seed round backed by Mars IAF, Ampify Capital and Mistral Ventures. The founders have deep experience in enterprise healthcare and startups. The team is small; everyone does real work, takes initiative, and owns outcomes.

About the Role

As an Agent Deployment Manager, you will own the rollout, success, and expansion of Blair’s AI agents and platform across our clinic customers.

You will work directly with healthcare operators, executives, clinic managers, administrators, and internal engineering/product teams to turn messy real-world workflows into configured, tested, production-ready AI agents.

This is a hands‑on role. You will be expected to understand customer operations deeply, drive implementation timelines, configure and test workflows, coordinate with forward‑deployed engineers, manage customer stakeholders, identify product gaps, and ensure our agents perform in the real world.

As one of the first non‑technical hires, you will sit at the intersection of product strategy, growth, and customer service, and operations.

What You’ll Do

• Own customer deployments end-to-end: Lead implementations from kickoff through go‑live and post‑launch stabilization. Own the plan, timeline, risks, customer communication, testing, training, and launch readiness.
• Translate healthcare workflows into AI agent behavior: Work deeply with clinic teams to understand operations and turn them into clear requirements, configurations, test cases, escalation paths, and success criteria.
• Partner with Product and Engineering: Work closely with forward‑deployed engineers and product team to surface technical blockers, edge cases, integration needs, product gaps, and opportunities to make the platform more repeatable.
• Tune and improve agent performance: Review agent outputs, calls, messages, workflow completions, data, and failure cases to identify improvements before and after launch.
• Surface expansion opportunities: Identify additional workflows where Blair can drive impact and turn successful deployments into broader customer expansion.

About You – Experience

• Previous experience in consulting, banking, solutions engineering, customer operations, product operations, or another analytical customer‑facing role.
• Technically fluent: Learn systems quickly, configure, understand product constraints, and communicate credibly with customers and engineering.
• Experience in high-growth, ambiguous environments such as startups, consulting, healthcare, enterprise SaaS, or operations-heavy businesses is a strong plus.
• Healthcare, healthtech, clinic operations experience is a bonus but not required.

Attributes

• Problem Solver: Turning messy workflows into clear systems, decisions, and next steps.
• High Ownership: Full responsibility for outcomes, follow-through without being asked, hold yourself to a high bar.
• Customer-Obsessed: Understand how customers actually work and are willing to get into the details.
• Technically Fluent: Comfortable learning software tools, configuring systems, reviewing data, understanding edge cases, partnering with technical teams.
• Clear Communicator: Concise, structured, and comfortable with executives, operators, clinicians, and engineers.
• Bonus: Startup or founder experience.

Why Blair

Work directly with the founders from day one. The team is small enough that your work is visible, ideas get heard, and what you do actually moves things forward. We are growing fast and those joining now have the opportunity to lead and build this function as we scale.

Compensation & Benefits

• Base Salary: CAD $95,000 – $140,000 annually (based on experience)
• Equity: Participation in company equity plan
• Benefits: Extended health and dental coverage
• Time Off: Flexible PTO; we work hard and take rest seriously
• Location: In‑person Downtown Toronto, travel to customer sites as needed

Note: The salary range above reflects base compensation only. Equity, benefits, and other forms of compensation are provided separately and are not included in the figures above. This posting is for an existing vacancy. Blair uses artificial intelligence (AI) tools to support parts of our hiring process, including initial application review. All screening, assessment, and selection decisions are made or confirmed by a human hiring manager at every stage. No candidate is advanced or rejected by AI alone.