2 months ago
Toronto, CanadaStaff+
Responsibilities
- Lead the most complex, high-risk, or technically ambiguous customer deployments.
- Design agentic workflows, improve prompts, build integrations, debug failures, analyze system behavior, and ship production solutions.
- Diagnose issues across customer environments, integrations, agent performance, data quality, and platform behavior.
- Provide technical leadership across multiple customers and FDE workstreams.
- Review solution designs, implementation plans, testing strategies, and production readiness.
- Coach FDEs and help junior team members improve their technical judgment, debugging, and systems thinking.
- Identify architectural weaknesses, risks, and reliability issues before they affect customers.
- Partner with Product and Engineering to distinguish deployment-specific issues from platform-level gaps.
- Convert recurring customer challenges into reusable platform capabilities, tools, reference implementations, and technical standards.
- Improve team practices for testing, observability, debugging, incident response, documentation, and release management.
Requirements
- Significant experience in software engineering, Forward Deployed Engineering, solutions engineering, systems integration, implementation engineering, or a similarly hands-on technical role.
- Experience serving as a technical lead or senior individual contributor on complex, customer-facing software deployments.
- Ability to work across customer workflows, integrations, agent behavior, and reliable production solutions.
- Strong problem-solving skills, technical judgment, ownership, and ability to operate in ambiguous situations.
- Willingness to remain hands-on with difficult implementation and debugging work.
- Ability to influence and lead engineers without formal management authority and coach others effectively.
- Clear communication with engineers, deployment teams, and customer stakeholders.
- Strong interest in AI agents, prompting, automation, and multi-agent systems; prior experience is valuable but not required.
- Ability to work in an early-stage environment and prioritize, decide, and unblock work independently.
- Located in Toronto or willing to relocate.
- A science, engineering, or similarly technical educational background is helpful but not required.
Benefits
- Opportunity to define the technical standard for Forward Deployed Engineering.
- Ownership of important and technically difficult customer problems.
- Opportunity to work on agentic AI and multi-agent systems.
- Significant influence over product, platform, and deployment practices.
- Modern technical stack and access to leading AI tools.
- Competitive compensation and meaningful equity.
- Unlimited PTO.
- Team offsites, including past trips to Iceland, Lisbon, Cancún, and Costa Rica.
- Toronto-based role or relocation to Toronto required.
Categories
Forward Deployed
About Magical
Magical builds an agentic AI platform that deploys specialized AI agents to execute repetitive, operational workflows for enterprises, with deep use in healthcare areas such as patient access and revenue cycle. The company sells its software and managed deployments to operations teams, integrating with existing systems via APIs. Founded in 2020 and headquartered in San Francisco, Magical is privately held and backed by investors including Greylock, Coatue, Altman Capital, and Lightspeed.