AI Forward Deployed Engineer, Magical
$130-175k
CA$140K – CA$160K + Offers Equity
Agentic AI platform fully automating complex workflows
Open for applications
Agentic AI platform fully automating complex workflows
21-100 employees
Open for applications
$130-175k
CA$140K – CA$160K + Offers Equity
21-100 employees
Company mission
To free the global workforce of mundane, soul-crushing workflows.
Role
Who you are
- You have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical background
- You’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive
- Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tell
- Have a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input
- You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one
- Studied science or engineering in college (dropout welcome)
- Located in SF/Toronto or willing to relocate
What the job involves
- The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI
- Design and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges
- Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements
- Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare
- Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem
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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