---
title: 'Manager, Forward Deployed Engineering at Magical'
canonical: 'https://feeny.ai/job/manager-forward-deployed-engineering-magical-toronto-trc12pg05bhe'
type: 'job'
last_seen: '2026-09-10'
---

# Manager, Forward Deployed Engineering at Magical

- **Company:** Magical
- **Location:** Toronto, Canada
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/magical/7954e740-3ba6-4aa3-aece-7bc5d72655e1

## Job description

Magical is building an agentic AI platform that brings “AI employees” into the workplace to execute repetitive, operationally critical work. Our agents help organizations move faster, reduce manual work, and improve outcomes in areas where reliability matters—particularly healthcare. We work directly with customers to understand complex workflows, deploy AI agents into real operating environments, and turn what we learn into a more powerful and scalable platform. The shift toward agentic work is already underway, and we are building the infrastructure and deployment playbook that will define how it happens. Magical is backed by Greylock, Coatue, Altman Capital, Lightspeed, and other investors behind companies including OpenAI, Anthropic, Hugging Face, and Notion.

## About the role

We are looking for an FDE Manager to lead the team responsible for turning Magical’s platform into reliable, high-impact customer deployments. This is a player-coach role. You will manage and develop a team of Forward Deployed Engineers while remaining close enough to the work to review technical approaches, unblock difficult problems, and raise the quality of execution. You will own the technical success of customer deployments—from solution design and integration through launch, reliability, and ongoing improvement. You will also help ensure that what we learn from each deployment becomes reusable tooling, product functionality, and operating practices for the broader organization.

## What you’ll do

- Lead, coach, and develop a team of Forward Deployed Engineers, creating clear expectations and a consistently high bar for technical execution, ownership, and customer impact.
- Own the technical quality and reliability of customer deployments, particularly in high-stakes healthcare environments.
- Allocate the team across customer priorities, balance speed with quality, and identify risks before they affect customers or delivery timelines.
- Review solution architecture, agent design, prompting strategies, integrations, testing plans, and production-readiness for complex deployments.
- Step into the most difficult technical or customer situations to diagnose problems, make decisions, and unblock the team.
- Partner closely with Deployment Strategy, Product, Engineering, and Customer Success to ensure deployments achieve the intended customer outcome.
- Translate recurring customer needs and deployment challenges into clear product requirements and platform improvements.
- Establish strong engineering practices for testing, observability, incident response, documentation, and release management across customer deployments.
- Build reusable tools, templates, reference implementations, and technical playbooks that make each future deployment faster and less dependent on bespoke FDE effort.
- Hire and onboard additional FDEs as the team and customer base grow.
- Create an environment where the team moves quickly, communicates directly, learns from failures, and takes responsibility for outcomes.

What success looks like

- Customers receive the expected outcomes consistently, with issues detected and resolved before they materially affect the customer.
- Deployments become progressively faster and more predictable.
- FDEs are able to own increasingly complex work with less escalation and stronger technical judgment.
- Repeated customer requirements are converted into reusable platform capabilities rather than solved independently each time.
- Product and Engineering receive clear, prioritized feedback grounded in real customer deployments.
- The FDE organization scales without a proportional increase in manual effort or ongoing customer support.

## About you

- You have experience managing and developing a team of at least four engineers, solutions engineers, Forward Deployed Engineers, or similarly technical team members.
- You have a strong technical foundation, developed through experience in software engineering, QA engineering, solutions engineering, systems integration, implementation engineering, or a related field.
- You have led teams responsible for delivering software into real customer environments, not only building software in isolation.
- You are comfortable reviewing technical designs, diagnosing production issues, and challenging the team’s approach when necessary.
- You are an effective people manager who can coach strong performers, deliver direct feedback, address performance issues, and build accountability without creating unnecessary process.
- You communicate well with both technical teams and senior customer stakeholders, particularly when requirements are unclear or something has gone wrong.
- You are deeply curious about AI agents, prompting, automation, and multi-agent systems. Prior experience is valuable, but strong technical fundamentals and the ability to learn quickly matter more.
- You have a strong bias toward action and consistently demonstrate “show, don’t tell.”
- You have high agency and can prioritize, make decisions, and unblock yourself and others without waiting for perfect information.
- You are energized by early-stage environments where the playbook is still being created.
- You are willing to be hands-on when the team or customer needs it, while remaining focused on building a team and system that can scale beyond you.
- You are located in Toronto or willing to relocate.

A science, engineering, or similarly technical educational background is helpful, but we care more about what you have built, led, and learned than where you studied.

The reality of the role This is an early-stage, customer-facing leadership position. Priorities can change quickly, customer problems do not always arrive at convenient times, and some periods will require long or intense working cycles. You should be excited—not surprised—by the opportunity to bring structure to ambiguity, step into difficult situations, and help the team deliver when the path is not yet obvious.

## What we offer

- The opportunity to shape the FDE function and deployment model at an ambitious AI company
- Meaningful ownership over how Magical’s technology is applied in real customer environments
- A chance to work at the frontier of agentic AI and multi-agent systems
- A modern technical stack and access to leading AI tools
- Competitive compensation and meaningful equity
- Unlimited PTO
- Team offsites, with past trips including Iceland, Lisbon, Cancún, and Costa Rica

## 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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