Member of Product Staff, Metaview
Designer/Design Engineer
Plus equity
More information about location
3-5 days a week in office
AI built for recruiting
Open for applications
AI built for recruiting
21-100 employees
Open for applications
Plus equity
More information about location
3-5 days a week in office
21-100 employees
Company mission
To power people decisions with the truth.
Role
Who you are
- We're likely to be excited by people who:
- Have shipped beautiful, complex products in fast-moving software environments
- Can design and are comfortable bringing it to life themselves — in Figma, in code, or both
- Have a real point of view on products: what's great, what's broken, and what they'd change
- Care about the pixels, the motion, and the details most people never notice
- Like ownership, ambiguity, and working shoulder-to-shoulder with engineering, product, and customers
- Want to help define what AI-native software feels like while the shape of the company is still being formed
- Helpful signals include experience with:
- Shipping products where the pixels matter — rich, interactive frontends, not just a button that calls an API
- Design systems, real-time collaboration, or other genuinely hard interaction problems
- AI-native interfaces: agent interactions, streaming and loading states, the in-between moments of a conversation
- Side projects or a portfolio that show real obsession with craft
- Startup or scale-up environments where iteration speed and ownership are both high
What the job involves
- Not motion for its own sake, but real progress. We ship every day, ship on Fridays, and skip the tickets, roadmaps, and design-doc theater. We barely write code by hand anymore: every builder on the team orchestrates a stack of agents, and we ship 8x what we did a year ago with the same small team
- The designer who can prototype is lethal here — you can take an idea from sketch to shipped without waiting on anyone. Process stays light, standards stay high, and feedback loops stay short
- Day to day, you'll design and build:
- The look and feel of new product experiences across the hiring workflow — from first sketch to shipped pixels
- Interfaces that make AI agents feel transparent, trustworthy, and genuinely like a coworker
- The moments where conversational signal becomes something a user can see, trust, and act on
- Prototypes that prove out an idea fast — in Figma, in code, or somewhere in between
- The craft bar for the whole product: motion, density, hierarchy, the details that make it feel inevitable
- In your first 3-6 months, you should:
- Own and ship meaningful product areas end-to-end, from problem definition through rollout
- Set how Metaview's AI products look, feel, and behave in real customer workflows
- Turn messy, ambiguous problems into interfaces that feel obvious in hindsight
- Contribute to the bar across craft, execution, and product judgment
Salary benchmarks
Our take
Hiring is one of the highest-stakes decisions a company makes, yet it still runs largely on gut instinct. The talent acquisition software market is worth roughly $25 billion, but the interviews at its core, arguably the richest source of hiring signal, have historically vanished the moment they end. Capturing that unstructured conversation and turning it into usable data is a genuinely hard problem, and a fast-growing corner of the market.
Metaview was founded by Siadhal Magos and Shahriar Tajbakhsh, who saw the gap in hiring data first-hand while scaling Uber and Palantir. Built as an AI-native platform, it has captured over three million interviews, a proprietary and context-rich dataset that is hard to replicate. The company has raised more than $50 million from top-tier investors, with Google Ventures leading its Series B, and is growing five times year on year, with coverage in Fortune, Forbes, TechCrunch and The Times.
The pitch is to automate the toil and augment the human, and the depth of Metaview's hiring data sets it apart. But general-purpose AI notetakers and established hiring platforms are circling the same ground, and tightening regulation around AI and bias in recruitment adds pressure.
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: $49.7m
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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