--- title: 'Tech Lead - Forward Deployed Engineering at Magical' canonical: 'https://feeny.ai/job/tech-lead-forward-deployed-engineering-magical-remote-ahsy8q8mdcav' type: 'job' last_seen: '2026-09-10' --- # Tech Lead - Forward Deployed Engineering at Magical - **Company:** Magical - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-05 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/magical/d25cbdb2-993e-4ada-b3bb-f108b853ba51 ## 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 a Tech Lead to raise the technical bar across Magical’s Forward Deployed Engineering team and take on our most difficult customer and platform challenges. This is a highly senior individual-contributor role. You will remain deeply hands-on while providing technical leadership across multiple customers, deployments, and FDE workstreams. You will step into complex or ambiguous situations, quickly understand what is going wrong, and lead the work required to solve it. You will also coach less experienced FDEs, review technical approaches, and help the broader team develop stronger judgment and execution skills. You will report to the Head of Deployments and work closely with Forward Deployed Engineers, Deployment Strategy, Product, and Engineering. ## What you’ll do - Take the lead on Magical’s most complex, high-risk, or technically ambiguous customer deployments. - Get hands-on in the work—designing agentic workflows, writing and improving prompts, building integrations, debugging failures, analyzing system behavior, and shipping production solutions. - Diagnose difficult issues across customer environments, integrations, agent performance, data quality, and platform behavior. - Provide technical leadership across multiple customers and teams rather than owning only a single project or account. - Review solution designs, implementation plans, testing strategies, and production-readiness for complex workflows. - Coach FDEs through technical problems and help junior team members develop stronger problem-solving, debugging, and systems-thinking skills. - Set an example for technical ownership, execution quality, urgency, and customer focus. - Identify risks, architectural weaknesses, and reliability issues before they become customer-facing problems. - Partner with Product and Engineering to distinguish between deployment-specific issues and platform-level gaps. - Translate recurring customer challenges into reusable platform capabilities, internal tools, reference implementations, and technical standards. - Improve the team’s practices for testing, observability, debugging, incident response, documentation, and release management. - Help define what excellent Forward Deployed Engineering looks like at Magical. What success looks like - Magical’s technical deployments are delivered on time and thoroughly. - Customer-facing issues are diagnosed accurately, with root causes addressed rather than repeatedly patched. - FDEs make better technical decisions and become more capable of solving complex problems independently. - Technical quality becomes more consistent across customers and workstreams. - Repeated implementations are converted into reusable tools, patterns, and platform improvements. - Product and Engineering receive clear, technically credible feedback from customer deployments. - The organization can take on more complex customers without relying on a small number of people to repeatedly rescue deployments. ## About you - You have significant experience in software engineering, Forward Deployed Engineering, solutions engineering, systems integration, implementation engineering, or a similarly hands-on technical role. - You have operated as a technical lead or senior individual contributor on complex, customer-facing software deployments. - You are comfortable moving across the full problem space—from understanding a customer workflow to debugging an integration, improving agent behavior, and shipping a reliable production solution. - You are an exceptional problem solver who can bring structure to unclear situations and make progress without complete information. - You have strong technical judgment and know when to fix a local implementation, change the architecture, or escalate a platform limitation. - You enjoy being hands-on and are willing to personally take on difficult implementation and debugging work. - You are able to influence and lead other engineers without relying on formal management authority. - You are a strong coach who can explain not only what should change, but how to think about the problem differently. - You communicate clearly with engineers, deployment teams, and customer stakeholders, especially when a project is under pressure. - You care deeply about production reliability, testing, observability, and solving the underlying cause of a problem. - 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 technical playbook is still being created. - 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, solved, and learned than where you studied. The reality of the role This is not an advisory or architecture-only position. You will be expected to get into the details, work directly in the implementation, and stay close to a problem until it is solved. You may move between customers, technical domains, and urgent priorities quickly. Some periods will involve intense work, incomplete information, and problems that do not have an obvious owner or solution. You should be excited by the opportunity to step into those situations, create clarity, and lead from the front. ## What we offer - The opportunity to define the technical standard for Forward Deployed Engineering at Magical - Ownership of some of the company’s most important and technically difficult customer problems - A chance to work at the frontier of agentic AI and multi-agent systems - Significant influence over Magical’s product, platform, and deployment practices - 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) ## Other roles at Magical - [Staff Software Engineer](https://feeny.ai/job/staff-software-engineer-magical-san-francisco-g4f0d25641ak) — San Francisco, CA - [Financial Analyst](https://feeny.ai/job/financial-analyst-magical-toronto-b4755k83x503) — Toronto, Canada - [AI Engineering Manager](https://feeny.ai/job/ai-engineering-manager-magical-toronto-q092p0tv3435) — Toronto, Canada - [Manager, Forward Deployed Engineering](https://feeny.ai/job/manager-forward-deployed-engineering-magical-toronto-trc12pg05bhe) — Toronto, Canada - [Healthcare Account Executive, Full Cycle](https://feeny.ai/job/healthcare-account-executive-full-cycle-magical-san-francisco-95dj8fbwz2zt) — San Francisco, CA