Zeit AI (YC S24)
Staff Backend Engineer, Platform

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Opportunity
ZeitMind is an autonomous data engineer for mid-market businesses. Agents and people work the same company data: ingest, pipeline, clean, analyse, build operational apps.
We are growing fast and will be onboarding multiple enterprise customers a week. The backend isn't ready yet, your impact will decide the speed at which we can grow!
Load growth is compounding: more customers, multiple users per customer, many agent interactions per user and multiple agent artifacts (data pipeline, schedules, analyses) coming out of the interactions.
You own the platform.
What you'll do
- Scale a multi-tenant Postgres under unpredictable load: query and I/O optimisation, read/write separation, horizontal scaling
- Make agent-driven workloads survivable: one user can spin up 30 table syncs, some running hours, while others query large sources
- Manage the sandbox layer: Docker containers where agents run queries and reverse-engineer files, with compute and memory budgets
- Own connectivity into customer networks: SOCKS5 over WebSockets, authentication, routing
- Scope the architecture and build it
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt 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.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
What we're looking for
- Staff or principal level, still hands-on, writing production code
- Built and scaled multi-tenant data platforms in a B2B startup or platform company before
- Has deep Postgres or database knowledge: query plans, locking, I/O, caching, replication, sharding
- Understands startup pace and ownership without specs
- Pragmatic over ideal, want to build foundations right without overengineering
- Strong TypeScript
- English C1, German a plus


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to have
- Experience at a data platform or warehouse company (Snowflake, Databricks, Cloudflare similar)
- Networking depth: proxies, VPN, routing
Location
Preferred: Munich, on-site. We support relocation within Europe.
Already in London? We can make that work. We have people here and are opening a small office, and we'd expect regular Munich travel. In-person culture is important to us.
Tech stack
TypeScript end to end. Bun, tRPC, Postgres, Supabase. React frontend (Mantine, TanStack Query). Docker, job/process management, VPN/routing, agentic frameworks.
“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
Location