--- title: 'Staff Software Engineer at Magical' canonical: 'https://feeny.ai/job/staff-software-engineer-magical-san-francisco-g4f0d25641ak' type: 'job' last_seen: '2026-09-10' --- # Staff Software Engineer at Magical - **Company:** Magical - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-08 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/magical/84db7e49-b2b3-4d1e-9587-2bd9c35ea75d ## Job description ## About Magical Magical is an agentic automation platform revolutionizing healthcare with state-of-the-art AI—delivering production-ready AI agents that drive real results at scale. We believe the future of healthcare lies not in replacing people, but in multiplying their best qualities. Magical empowers healthcare organizations to scale their top experts across every workflow, ensuring more accurate, efficient, and compassionate operations. We're building "AI employees" to automate repetitive, time-consuming tasks while keeping humans in control. Our focus is healthcare, a $4 trillion industry mired in administrative complexity. By automating processes like prior authorizations and medical coding, we enable providers to concentrate on patient care. Our Momentum - Customers rapidly expand from initial workflows to broader use cases after seeing reliable production results. - 7-day proof-of-concepts deliver real value quickly—an industry where months are typical. - Self-healing automations maintain production-grade reliability at scale. Magical is backed by Greylock, Coatue, and Lightspeed, with $41M raised. Our founder, Harpaul Sambhi, previously sold his first company to LinkedIn. ## About the Role As a Staff Software Engineer, you’ll shape the technical direction of Magical’s AI agent systems. You’ll drive product delivery, elevate engineering standards, mentor peers, and stay hands-on with the code. Magical orchestrates complex, high-stakes healthcare workflows involving queues, run state, browser automation, model calls, system evaluations, observability, and human-in-the-loop recovery. You'll transform messy customer inputs—SOPs, decision trees, portal behaviors, edge cases—into robust automations. This means building systems that draft workflows, test them, catch failures, suggest improvements, and trigger human intervention when necessary. You'll also focus on runtime reliability, workflow pathways, evaluations, and specialized agents for repeatable healthcare workflows. This is a hybrid role based in our San Francisco office. ## What You’ll Do - Set the technical direction for core agent systems—automation building, runtime reliability, evaluations, and observability - Lead ambiguous backend and full-stack projects that materially advance the product - Improve engineering practices through better architecture, faster feedback loops, stronger code reviews, and clear standards - Mentor teammates through pairing sessions, code reviews, and by modeling strong engineering practices You May Be a Fit If - You have 8+ years of software development experience. - You’ve led complex backend or platform projects with real production impact - You turn ambiguous product goals into clear, executable technical direction - You bring strong systems design instincts: distributed systems, databases, APIs, queues, asynchronous workflows, and observability - You have experience integrating AI tools into your workflow and experiment with unconventional solutions - You elevate engineers around you while staying close to the code - You possess high agency, strong ownership, and excel at prioritizing what matters Even Better - Experience with platform, infrastructure, or workflow systems at scale - Experience building agentic products or agent-based workflows - Experience integrating LLMs or AI models into production backend systems - Background in event-driven architectures, workflow engines, observability, or runtime reliability - Prior experience in healthcare operations or revenue cycle management We're building the best self-serve agentic automation platform for healthcare—and we're just getting started. Come join us! ## 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. 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