Engineering Manager, Magical
Agentic AI platform fully automating complex workflows
Posted today
Agentic AI platform fully automating complex workflows
21-100 employees
Posted today
21-100 employees
Company mission
To free the global workforce of mundane, soul-crushing workflows.
Role
Who you are
- Experience leading a high-performing engineering team through an ambiguous, fast-growing stage
- Strong technical judgment in production software systems, architecture, reliability, and operational excellence
- Meaningful experience with LLMs, agents, evals, orchestration, model behavior, or other production AI systems
- The ability to earn the respect of strong engineers without needing to make every technical decision yourself
- Strong product judgment and an instinct for balancing speed, quality, scalability, and customer impact
- A track record of developing engineers, addressing performance issues directly, and raising the talent bar
- Experience turning broad objectives into clear ownership, technical plans, and measurable outcomes
- Comfort operating close to customers and understanding the real-world consequences of engineering decisions
- Familiarity with enterprise security and healthcare trust requirements, including HIPAA, SOC 2, PHI, permissions, auditability, logging, and data access
- Low ego, high standards, direct communication, and founder-level urgency
- We need someone technical enough to earn trust, decisive enough to create clarity, and hands-on enough to help the team move faster
What the job involves
- We are looking for a deeply technical, AI-native Engineering Manager to lead a team of up to 12 engineers as we scale from early customer pull toward category-defining execution
- This is not a traditional engineering management role
- We are not looking for someone whose primary contribution is running ceremonies, tracking tickets, or managing from a distance. We need a technical, product-minded leader who can raise the quality and velocity of a team while remaining close to the architecture, the product, and the customer problems we are solving
- You will lead a team responsible for building and operating critical parts of Magical’s AI platform. You will set a high bar for execution, develop engineers, drive technical decisions, and work closely with Product, Design, Deployment, and GTM
- The right person can move from a one-on-one to an architecture review, unblock a production issue, challenge a roadmap decision, and help close an exceptional candidate without losing context or momentum
- The performance, development, and effectiveness of a team of up to 12 engineers
- Technical execution across a meaningful area of Magical’s AI platform
- Engineering quality, delivery speed, ownership, planning, architecture reviews, and incident response
- The systems required to make probabilistic AI reliable enough for enterprise healthcare workflows
- Clear technical direction within your team, in partnership with senior engineers and engineering leadership
- Translating ambiguous product and customer problems into executable technical plans
- Improving the platform so customer deployments become faster, more repeatable, and more scalable
- Hiring, onboarding, coaching, and retaining exceptional engineers
- Creating an environment where engineers have high autonomy, clear accountability, and room to grow
- Cross-functional execution with Product, Design, Deployment, Security, and customer-facing teams
- As an Engineering Manager at Magical, you will help turn emerging AI capabilities into production systems that healthcare organizations can trust with their most important operational workflows
- You will have the opportunity to shape the team, the technical foundation, and the operating culture during a period of rapid growth
Our take
It’s generally accepted that most workers in many sectors will complete at least one repetitive computer task within their work day. Magical is a platform hoping to remove the ache of these mundane tasks through its automation system.
The company doesn’t use specific integrations or APIs, rather, it simply collects repeatedly used data that can then be collated on the likes of a Google sheet or email. The platform stops you from typing the same thing over and over by populating repeatedly used text such as contact information. It's said to save an average of seven hours of work a week with its free-to-download Chrome extension.
Founded in 2020, Magical has attracted considerable funding and a growing enterprise footprint. Alongside this, the company has worked with over 10,000 businesses, including Salesforce, Uber, Bolt, Disney and Facebook, and is now moving beyond simple productivity tools into more advanced AI-driven automation. Recent partnerships, such as with Beacon Health System, signal a shift toword agentic AI capable of executing complex workflows within existing systems, particularly in high-stakes environments like healthcare.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Jun 2022
$35m
SERIES A
Sep 2020
$6m
SEED
Total funding: $41m
Company HQ
SoMa, San Francisco, CA
Leadership
Harpaul Sambhi
(Co-Founder & CEO)Previously founded Careerify (Acquired by LinkedIn) where he served as CEO. He also worked in Product Management at LinkedIn and Microsoft.
Rosie Chopra
(Co-Founder & COO)Previously spent nearly 5 years at Atlassian in various roles, including Director and then Head of Strategy & Business Operations. She also worked at Deloitte for 3 years as a Manager of Strategy & Operations.
Prashant Viswanathan
(Co-Founder)Prashant has extensive experience in Software Engineering including working as Software Engineer at LinkedIn. He then went on to become Vice President of Engineering at Swift Medical.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 8 more jobs at Magical