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Metaview
Metaview is an AI company focused on recruiting. We build AI agents that help world-class companies hire with radically more speed and precision. We automate the toil, and augment the human for companies like Brex, Affirm, Deel, ElevenLabs, and Airtable.
Founded by Siadhal and Shahriar after their experiences scaling Uber and Palantir, we’ve raised over $50m from top-tier investors. Most recently, Google Ventures led our series B. We’re growing 5x YoY, our customers are raving fans of the product, and our story has been covered in Fortune, Forbes, TechCrunch, and The Times.
It’s still day 0: Now is the time to re-engineer how work gets done with AI at the core, and our toughest challenges still lie ahead. We’re looking for people seeking the hardest, most fulfilling work of their lives.
How We Work
We operate with one core principle: velocity. In practice, this means we:
- Optimize everything we do around accelerating rate of learning.
- Do truly great work
- Communicate openly and directly, and with full context.
All while maintaining a hard-earned reputation for craft and quality.
The role
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.
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Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Key ownership areas:
- 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.
What You Bring
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:
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- 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 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 we offer
- The best co-workers you’ll ever have, in an environment that fosters cohesion, collaboration, and performance.
- Supreme rate-of-learning as we re-orient how the world works with AI.
- High compensation, through cash and equity.
- All the benefits you’d expect and more.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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