Product Engineering Tech Lead
deepset · Berlin
CHECKED 23H AGO
Infrastructureremotelead
At a glance
Highlights
- Own the execution layer that runs customers' AI applications at enterprise scale.
- Push the platform into long-running autonomous agents that stay alive for hours.
- Make reliability provable with observability and per-customer usage insight.
What they offer
- Remote-first setup with flexible hours and tech of your choice
- 30 days vacation plus extra days for family sick leave
- Competitive salary and stock options for every team member
- Monthly sports and mental health support allowance with Oliva
- Annual learning and development budget
- Monthly team socials and in-person meetups
- Dog-friendly Berlin HQ
Ideal candidate
Builder with founder mindset who has shipped and operated production platforms and thrives owning outcomes end to end. You lead through architecture, care about reliability customers can see, and push into new territory like agents.
Requirements
- Builder mindset with startup or founder experience shipping and owning new products
- Built and operated systems on Kubernetes in production
- Experience with durable, fault-tolerant execution including retries, failover and durable state
- Experience with serverless function platforms at scale including scale-to-zero and cold starts
- Experience with streaming and long-lived connections
- Strong observability, alerting, SLO and incident response ownership
- Experience leading teams and translating product strategy into robust architecture
- Comfortable in Python and infrastructure as code in cloud-native stack
- remote policy
- remote-first
Lab profile
About deepset
Builds sovereign enterprise AI platform and open-source Haystack framework for custom agents.
What they build
- Haystack
- deepset AI Platform
Known for
- Sovereign AI
- Custom enterprise AI solutions
- Scalable agent execution with observability
Key facts
- Founded in 2018
- Headquartered in Berlin
- Series B company