AI Operator, Metaview
+ Equity
AI built for recruiting
Posted today
AI built for recruiting
21-100 employees
Posted today
+ Equity
21-100 employees
Company mission
To power people decisions with the truth.
Role
Who you are
- There's no single path to this role. What matters is that you're an AI-native builder, obsessed with figuring out how AI can and will change how we work, and leveraging that obsession for competitive advantage:
- You build with AI as your default mode, not as a novelty. Agents, automations, skills: you have things you've shipped that changed how real work gets done
- Data and Commercials: You're a commercial athlete, capable of driving data analysis independently, and turning those insights into that winning tactics and ideas
- Communication: World-class ability to keep technical and commercial talent aligned on what matters, and aware of what needs to happen
- High throughput: You're able to make things happen at an ungodly rate, both through your own endeavour, and through the orchestration of a broader team
- Hustle: You're all-in on doing the most impactful work possible. It's your top priority in life
What the job involves
- We're scaling fast, and our biggest constraint on output is no longer headcount
- It's leverage
- Keeping our operating model bleeding-edge is a full-time job
- Every team at Metaview (Sales, CS, Marketing, Ops, Talent) hits bottlenecks and runs workflows that should be 10x faster with AI in the loop
- This is a builder role reporting to co-founder/CEO, deployed wherever the work is hardest and the commercial leverage is highest
- You'll identify high-leverage workflows across our operations, diagnose what's holding us back, and ship AI-native solutions that transform how teams work
- Identify the highest-leverage workflows that drive commercial outcomes within non-engineering teams (Sales, CS, Marketing, Ops, Talent), diagnose the constraints, and ship AI-native solutions that permanently change how the team operates
- Set the bar for AI-native operating across the company: what good looks like, what tools to use, and what every team should expect from their own workflows in six months
- Aggressively devise ways to use AI to create leverage within our top priority objectives, then turn any learnings into reusable patterns
- Decide what to build in-house vs. what to buy
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: $49.7m
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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