---
title: 'AI Engineering Manager at Magical'
canonical: 'https://feeny.ai/job/ai-engineering-manager-magical-toronto-q092p0tv3435'
type: 'job'
last_seen: '2026-09-10'
---

# AI Engineering Manager at Magical

- **Company:** Magical
- **Location:** Toronto, Canada
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/magical/4bba175e-6908-427b-8800-50eecae9352a

## Job description

AI Engineering Manager

Build the agentic workforce for healthcare Magical is building an AI-native automation platform for enterprise healthcare. We believe healthcare organizations will not solve their operational problems by buying another 50 point solutions. They will build an agentic workforce: AI agents that can execute real work across fragmented systems, adapt as workflows change, and operate with the reliability, security, and observability healthcare requires. That is what we are building. Our work matters. Magical automations have helped identify more than 200 positive cancer cases, match suicidal veterans with mental health care, improve access to care, and help providers get paid in a $5.2 trillion healthcare system still held together by too much manual work. We are looking for a deeply technical, AI-native Engineering Manager to lead a team of up to 12 engineers as we scale from early customer pull toward category-defining execution.

## The role

This is not a traditional engineering management role. We are not looking for someone whose primary contribution is running ceremonies, tracking tickets, or managing from a distance. We need a technical, product-minded leader who can raise the quality and velocity of a team while remaining close to the architecture, the product, and the customer problems we are solving. You will lead a team responsible for building and operating critical parts of Magical’s AI platform. You will set a high bar for execution, develop engineers, drive technical decisions, and work closely with Product, Design, Deployment, and GTM. The right person can move from a one-on-one to an architecture review, unblock a production issue, challenge a roadmap decision, and help close an exceptional candidate without losing context or momentum.

## What you will own

- The performance, development, and effectiveness of a team of up to 12 engineers
- Technical execution across a meaningful area of Magical’s AI platform
- Engineering quality, delivery speed, ownership, planning, architecture reviews, and incident response
- The systems required to make probabilistic AI reliable enough for enterprise healthcare workflows
- Clear technical direction within your team, in partnership with senior engineers and engineering leadership
- Translating ambiguous product and customer problems into executable technical plans
- Improving the platform so customer deployments become faster, more repeatable, and more scalable
- Hiring, onboarding, coaching, and retaining exceptional engineers
- Creating an environment where engineers have high autonomy, clear accountability, and room to grow
- Cross-functional execution with Product, Design, Deployment, Security, and customer-facing teams

## What we are looking for

- Experience leading a high-performing engineering team through an ambiguous, fast-growing stage
- Strong technical judgment in production software systems, architecture, reliability, and operational excellence
- Meaningful experience with LLMs, agents, evals, orchestration, model behavior, or other production AI systems
- The ability to earn the respect of strong engineers without needing to make every technical decision yourself
- Strong product judgment and an instinct for balancing speed, quality, scalability, and customer impact
- A track record of developing engineers, addressing performance issues directly, and raising the talent bar
- Experience turning broad objectives into clear ownership, technical plans, and measurable outcomes
- Comfort operating close to customers and understanding the real-world consequences of engineering decisions
- Familiarity with enterprise security and healthcare trust requirements, including HIPAA, SOC 2, PHI, permissions, auditability, logging, and data access
- Low ego, high standards, direct communication, and founder-level urgency

## Why this matters

Agentic automation will not win in healthcare because the demos are impressive. It will win when the systems are reliable, secure, observable, governed, and economically transformative. That is the engineering problem. As an Engineering Manager at Magical, you will help turn emerging AI capabilities into production systems that healthcare organizations can trust with their most important operational workflows. You will have the opportunity to shape the team, the technical foundation, and the operating culture during a period of rapid growth.

What this role is not This is not the right role for someone who wants to manage from a distance. We are not looking for:

- A process-first manager whose primary value is ceremonies, reporting, and administration
- A big-company operator who wants to introduce heavy process before the team needs it
- A manager who has moved too far away from architecture, technical tradeoffs, and production systems
- A pure AI researcher who does not want to own reliability, customers, and business outcomes
- A leader who avoids difficult performance conversations or allows standards to drift
- A project manager who coordinates work but cannot challenge the technical plan
- A backend-only leader who does not want to engage deeply with Product, Deployment, and customer problems
- A manager who measures success by output rather than shipped outcomes, system quality, and team growth

We need someone technical enough to earn trust, decisive enough to create clarity, and hands-on enough to help the team move faster.

## About Magical

## Company Overview
- **One-liner**: Magical deploys specialized AI agents that automate real operational workflows across healthcare systems, from patient access to revenue cycle management.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Harpaul Sambhi (CEO & Cofounder), Prashant Vishwanathan (Cofounder & Engineering Manager)

## Core Business
- **Primary industry/industries**: Healthcare Operations Automation, AI Agents, Workflow Automation
- **Target customers**: B2B, primarily healthcare providers (health systems, clinics) and payers
- **Mission or purpose statement**: "Freeing the global workforce of mundane, soul-crushing workflows. Automagically." The company builds AI agents to automate the operational workflows healthcare organizations run every day.

## Products & Services
- **Prior Authorization Agent**: AI agent that automates prior authorization workflows for health providers, achieving 92% accuracy with a 4-week deployment timeline.
- **Referrals Agent**: Automates the referral management process, achieving 94% accuracy with a 5-week deployment.
- **Benefits Verification Agent**: Verifies patient benefits automatically, achieving 91% accuracy with a 6-week deployment.
- **Records Request Agent**: Handles medical records requests, achieving 97% accuracy with a 5-week deployment.
- **Revenue Integrity Agent**: Ensures revenue cycle accuracy, achieving 93% accuracy with a 4-week deployment.
- **Payment Posting Agent**: Automates payment posting tasks, achieving 99% accuracy with a 6-week deployment.

All agents are pre-trained, deploy in weeks, operate across browser and desktop applications, and are designed to be interoperable with existing healthcare systems. Magical offers both a platform for teams to build their own agents and a managed service where the Magical team deploys agents on behalf of clients.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of $41.0M (Seed: $6M in 2020, Series A: $35M in June 2022)
- **Notable Investors/Partners**: Bain Capital Ventures (Partner on cap table), Coatue (General Partner on cap table), and individual investors including the ex-President of Atlassian (Jay Simons) and the ex-CTO of Atlassian (Sri Viswanath), and the Head of Product at DeepMind (Google). Partners include experts who help identify high-impact workflows.
- **Growth Signals**: 
    - Headcount grew 52.7% year-over-year to approximately 60 employees (as of mid-2026).
    - Named to Becker’s 2026 "Top Revenue Cycle Management Companies to Know" list (April 2026).
    - Received an A+ "Likelihood to Recommend" rating in the KLAS Emerging Company Spotlight Report (June 2026).
    - Headspace (the mental health platform) is a notable customer case study, using Magical to automate complex eligibility workflows.
    - Reported annual revenue of $1.3M (likely from an estimate by third-party data aggregators, not official company disclosure).

## Competitive Advantages
- **Interoperability**: Agents operate across browser and desktop applications and connect to hundreds of healthcare systems without requiring native integrations.
- **Speed of Deployment**: Production agents deploy in weeks, reaching over 90% coverage in the first six weeks with over 95% accuracy on successful automations.
- **Multi-Agent Framework**: A reliable system where AI judges place guardrails around agent execution to ensure accuracy and safe decision-making, with specialized agents coordinating through a multi-agent framework.
- **Scalability**: Hundreds of thousands of agents can run concurrently across healthcare operations, scaling across departments without rebuilding workflows.

## Strategic Focus
- **Healthcare Specialization**: Deepening focus on healthcare operations (patient access, revenue cycle, prior authorization, referrals, benefits verification) rather than general-purpose automation.
- **Expanding Agent Portfolio**: Continuing to build and launch new pre-trained agents for specific healthcare workflows.
- **Managed Service Model**: Offering both a self-service platform and a managed service deployment model to meet different customer needs and accelerate adoption.
- **Partnership Ecosystem**: Building a partner network to help identify and prioritize high-impact workflows for automation.

## Why Work Here
- **Culture**: Described as "MagicMakers," the team is focused on freeing workers from mundane workflows. The company emphasizes a mission-driven environment with a focus on healthcare impact.
- **Remote/Hybrid/Office Policy**: Hybrid. Employees work from physical offices (San Francisco HQ) and remote locations. The company has offices in San Francisco (HQ), Toronto (Canada), New York City, and Sacramento. Built In lists roles as both "Hybrid" and "Remote USA."
- **Notable Perks & Engineering Culture**: The engineering team is strong, with talent sourced from companies like Mozilla, Apple, Atlassian, and MIT Media Lab. The company has a technical team of ~24 people (21% of workforce). Active job postings include roles like AI Deployment Engineer, Senior Software Engineer (Product), and Staff/Senior Product Designer. The company values "speed" and "reliability" in its product, which likely translates to a fast-paced, engineering-driven culture.
- **Growth Trajectory**: With 52.7% headcount growth YoY, recent industry recognition (Becker's, KLAS), and a clear product-market fit in healthcare, the company is in a strong growth phase, offering opportunities for career advancement.

## Sources
1. [getmagical.com](https://www.getmagical.com/)
2. [getmagical.com/about-us](https://www.getmagical.com/about-us)
3. [linkedin.com/company/getmagical](https://www.linkedin.com/company/getmagical)
4. [builtin.com/company/magical](https://builtin.com/company/magical)
5. [cbinsights.com](https://www.cbinsights.com/company/magical-1)
6. [jobs.ashbyhq.com/magical](https://jobs.ashbyhq.com/magical)

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