Product Engineer, Metaview
Backend-biased
AI built for recruiting
Open for applications
AI built for recruiting
21-100 employees
Open for applications
21-100 employees
Company mission
To power people decisions with the truth.
Role
Who you are
- You're fiercely ambitious and fundamentally interested in doing great work
- You're passionate about your craft and it feels weird to call it "work"
- You care deeply about customer needs, the problems they face, and therefore the products you can build to solve them
- You’re excited by the ambiguous terrain that comes with being part of an early-stage company
- You love building/shipping and are curious about starting your own company one day
- You get fired up by the fact that our most valuable asset is our velocity
- You enjoy shipping on Fridays
What the job involves
- At Metaview, a Product Engineer is a customer-obsessed, product-focused Software Engineer
- Fundamentally, this means a Product Engineer works towards goals, not tasks
- As one of our first Product Engineers, you’ll lead the design, development, and operations of our products
- We’re a small and autonomous team, so you’ll end up wearing many hats and having meaningful impact
- A Product Engineer is by necessity full stack, but we appreciate everyone has their biases and areas of expertise
- For this role, we're looking for backend bias
- You'll spend most of your coding cycles on the backend but you may have to touch other parts of the stack to unblock yourself and maintain high velocity
- It doesn’t matter what languages and tools you know when you join us, but it does matter that you can write clean, effective code and are excited by learning new languages and tools
- Our product is constantly evolving, so we need engineers who can do the same
- Our current stack consists of tools and technologies such as:
- Python to write our backend application code
- Typescript and React to write our frontend application code
- Serverless Framework for creating and managing our application infrastructure
- Terraform for managing the foundational infrastructure
- AWS for all of our infrastructure
Salary benchmarks
Our take
According to Metaview, hiring teams are often relying on feelings and biased memories when making hiring decisions. Metaview aims to solve this problem by empowering organisations to make hiring decisions based on truth, at scale.
The company differentiates itself through the innovation of its products, it analyses the data collected from interviews to provide interviewers with actionable insights, feedback, and coaching. This allows companies to optimise their interviews at a level rarely seen in enterprises.
Companies like Robinhood, AngelList, and Hudl are already using Metaview to hire better, faster, and without bias. And now with extra funding, the company is focused on further enhancing its product development as well as hiring more engineers.
Freddie
Company Specialist at Welcome to the Jungle
Meet the team
Siadhal Magos, Co-founder & CEO
Insights
Company
Funding (last 2 of 4 rounds)
Jun 2025
$35m
SERIES B
Mar 2024
$7m
SERIES A
Total funding: $49.6m
Company benefits
- Competitive salary
- Meaningul equity
Company values
- Velocity
Company HQ
London, UK
Leadership
Shahriar Tajbakhsh
(Co-Founder & CTO)Previously a Software Engineer at Morgan Stanley and an Enterprise Tech Lead at Palantir Technologies.
Siadhal Magos
(Co-Founder & CEO)Previously the Head of Product at Osper and a Product Manager at Uber.
Diversity, Equity & Inclusion at Metaview
Siadhal Magos (CEO)
- We believe the best — and only — way to fast-forward to the truth is by thinking differently. And we can only think differently if we have unique and varied perspectives.
- We cultivate a high-trust environment for all team members. The only thing that matters is the quality of the work, and that we're having fun while we're producing it.
- As we grow, we are intent on achieving a better gender balance.
- Our product is itself one of the best tools for improving fairness and consistency of hiring practises. For example, Metaview's data shows that female candidates get 12% less air time during interviews than their male counterparts. By empowering customers with these insights, we are finally enabling them to solve the causes of these issues.
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