368,746open jobs
9,444companies
47,506added this week
Browse all
Salary
$81k – $203k per year (Estimated)
Location
Remote/Hybrid (Toronto, Canada)
Employment
Full-Time
Overview
Company
Impact
Profile match
Connect any two apps or websites and automate work between them—no integrations required. Magical is an AI agent that autofills forms, databases, and messages.

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

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,746 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Toronto
$54k – $128k per year (Estimated) • Remote/Hybrid • Full-Time • 10+ years exp • Bachelor's Degree • Mexico City
C#
JavaScript
Python
TypeScript
C#
ASP.NET Core
Python
FastAPI
Databases
PostgreSQL
AI/ML
AI Agents
Anthropic
Embeddings
Function Calling
LLM
LLM Guardrails
Model Context Protocol
OpenAI
Semantic Search
Semantic Search
Frontend
Angular
React.js
DevOps
AWS
Azure
CI/CD
GitHub
GitHub Actions
Vector
Vercel
Apply
$197k – $374k per year (Estimated) • In office • Full-Time • 8+ years exp • PhD • New York
AI/ML
AI Agents
Claude
LangChain
OpenAI
Vertex AI
Management
n8n
Zapier
Apply
$108k – $195k per year • In office • Full-Time • 8+ years exp • Bachelor's Degree • United States
Python
AI/ML
AI Agents
Amazon SageMaker
AWS Bedrock
AWS Bedrock AgentCore
LLM
DevOps
AWS
CI/CD
CloudFormation
Docker
IAM
Kubernetes
Platform Engineering
Terraform
Cybersecurity
FedRAMP
Apply
Senior AI Architect 2 hours ago
$113k – $189k per year • In office • Full-Time • Bachelor's Degree • Barcelona
AI/ML
Anomaly Detection
Computer Vision
CrewAI
LangGraph
RAG
LangChain
LLMOps
AI Agents
Time Series Forecasting
DevOps
AWS
Azure
GCP
Management
n8n
Apply
$256k – $320k per year • Remote/Hybrid • Full-Time • Seattle
Go
Python
AI/ML
AI Agents
CrewAI
LangChain
LangGraph
DevOps
AWS
GCP
Kubernetes
Apply
$112k – $223k per year (Estimated) • Remote • Full-Time
AI/ML
AI Agents
Anthropic
Hugging Face
OpenAI
Management
Notion
Apply
AI Engineering Manager 2 months ago
$114k – $225k per year (Estimated) • Remote/Hybrid • Full-Time • Toronto • San Francisco
AI/ML
AI Agents
Cybersecurity
HIPAA
SOC 2
Apply
$195k – $365k per year (Estimated) • Remote/Hybrid • Full-Time • 8+ years exp • San Francisco • Toronto
AI/ML
AI Agents
Human-in-the-Loop
DevOps
Self-Healing
Apply
$115k – $233k per year (Estimated) • Remote • Full-Time • 3+ years exp
AI/ML
Anthropic
Hugging Face
OpenAI
AI Agents
Apply
In office • Internship • Toronto
SQL
Visual Basic
Apply
In office • Internship • 1+ year exp • Bachelor's Degree • Toronto
Go
JavaScript
Ruby
Scala
Apply
$71k – $165k per year (Estimated) • In office • Internship • Bachelor's Degree • Toronto
Go
JavaScript
Ruby
Scala
Apply
$73k – $92k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Toronto
DevOps
SLI/SLO/SLA
Analytics
Power BI
Tableau
Apply
$99k – $211k per year (Estimated) • In office • 15+ years exp • Toronto
Databases
Amazon Redshift
Apache Kafka
Databricks
Google BigQuery
Snowflake
AI/ML
AI Agents
Amazon SageMaker
dbt
LLM
Model Context Protocol
RAG
DevOps
Amazon Kinesis
AWS
Analytics
Tableau
Apply
See all jobs
This is one of many
368,746 more open roles from verified company boards, updated every day.