Software Engineer
01. The Problem
Lack of connectivity is the most fundamental problem in the physical economy.
The physical economy runs on networks of interconnected companies, but on systems that were never designed to talk to each other. Every time two companies need to exchange data, someone builds a custom integration by hand: business analysts, integration engineers, QA. Manual, every time. (Google EDI if you haven't. It's wild.)
A lot of companies have tried to fix this. Nobody has. We think AI agents are the way.
02. What We're Building
Temper is an agentic integration platform for the real economy. Specialized AI agents handle the full lifecycle: gathering requirements in plain English, generating integration code, testing, deploying, and keeping integrations alive in production. When something breaks, the agents fix it.
We have paying enterprise customers and real integrations running in production. There's more demand than we can keep up with.
Seed-funded with over $8M raised. Earliest team of under 10.
03. The Tech
The agents do real work with real consequences in production systems.
What you'd build:
Agent orchestration across multiple specialized agents coordinating complex workflows
Platform engineering: a mini Vercel for integration runtime with durable execution
Self-healing systems that detect failures and recover autonomously
A knowledge base of undocumented systems that gets smarter with every integration
Nobody has shipped this kind of platform at production scale, even in other verticals.
04. The Founders
Daniel (CPO) grew up in his family's trucking business. Built the freight product at Hive, Europe's leading eCom logistics startup, from 0 to $M. Hardware-native engineer who taught himself to code.
Heinrich (CEO) ran 100+ person warehouse operations at Amazon, then consulted on system integrations at KPMG. Built Hive's largest revenue line from zero.
Nick (CTO) built Lilith at 16, led an offensive security program for a nation-state, entrepreneur for 8 years. In eCom, he led the tech that scaled a company from 0 to $100M in 3 years.
Daniel and Heinrich built Hive from pre-seed to 400+ people. They've been living this problem for years.
05. The Role
You'll own core systems end-to-end: agent platform, infrastructure, integrations runtime. You'll set the engineering patterns every future hire builds on, work directly with the founders, and ship to production constantly. We need your opinion, not just your code.
Most of the important decisions haven't been made yet. What you build in the next year shapes the entire system.
Stack: TypeScript, React, Bun, Effect-TS, PostgreSQL, Kubernetes, AWS
You're comfortable running multiple AI agents in parallel. You pick up new things fast.
06. You Might Be a Fit If
You've shipped real things end-to-end, multiple times. You owned them.
You code with AI agents and lean into it, with enough taste to know what's worth shipping.
You hold strong technical opinions and change them when the evidence says so.
You move independently.
You want to do the best work of your career.
You want a true early-stage, in-person experience in San Francisco: fast-paced, high intensity.
07. What We Offer
Top-quartile compensation and meaningful equity
Top-tier office in San Francisco
M4 MacBook Pro and whatever else you need to move fast
Full health coverage
08. The Process
Screen (20 min): Quick chat, mutual fit.
Deep dive (45 min): Your career, what you've built, how you think.
Technical (60 min): Design a system with us. No leetcode.
Paid work day: A real task from our backlog, in person.
Offer: Under two weeks from first call to offer.