Tech Lead, Magical
Forward Deployed Engineering
More information about location
Agentic AI platform fully automating complex workflows
Open for applications
Agentic AI platform fully automating complex workflows
21-100 employees
Open for applications
More information about location
21-100 employees
Company mission
To free the global workforce of mundane, soul-crushing workflows.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
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.
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