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Product Engineering Tech Lead

deepsetBerlinEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
21 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Sovereign AI Platform for Agents is hiring a Product Engineering Tech Lead to oversee the infrastructure powering customer AI applications, encompassing serverless execution, durability, streaming, and observability. Based in Berlin with a remote-first option, this role suits an entrepreneurial builder who thrives at the intersection of backend engineering, platform operations, and product strategy.

Key Responsibilities

Architect and manage the serverless execution platform to ensure fast, reliable, and concurrent pipeline and agent execution at enterprise scale.
Implement durability measures such as fault tolerance, retries, and state management to keep long-running autonomous agents operational through node evictions and deploys.
Oversee streaming and long-lived connections like WebSockets or Server-Sent Events, managing backpressure, reconnects, and graceful shutdowns.
Drive technical direction and architecture, translating product strategy into robust systems while remaining hands-on with key engineering challenges.
Establish comprehensive observability, monitoring, alerting, cost tracking, and incident response protocols to guarantee provable platform reliability.

Requirements

Demonstrated builder and founder mindset with experience shipping and taking ownership of end-to-end products.
Production experience building and operating systems on Kubernetes from the ground up.
Background in durable, fault-tolerant execution systems handling retries, failover, and durable states.
Expertise in serverless and function platforms at scale, such as Knative, KEDA, OpenFaaS, or Fission.
Familiarity with streaming and long-running workloads, managing node churn and deployments.
Strong operator instinct regarding observability, service levels, alerting, and incident response.
Proven ability to lead a team, make complex technical tradeoffs, and align strategy with system architecture.
Proficiency in Python and infrastructure as code tools like Terraform within a cloud-native stack.

Nice to Have

Experience building Kubernetes operators, controllers, or automated deployment systems.
Proven track record of taking a platform from zero to one into full production-grade ownership.
Background in open-source contribution or software maintenance.
Prior exposure to B2B SaaS, large language models, or agent infrastructure.

Skills and Tools

Python
Kubernetes
Terraform
Serverless platforms (Knative, KEDA, OpenFaaS)
Streaming and long-lived connections
Observability and monitoring tools

Salary and Benefits

Remote-first setup offering flexible working hours and the freedom to choose preferred technology
30 days of paid vacation plus additional days allocated for family sick leave
Competitive salary alongside stock options provided for every team member
Monthly sports and mental health support allowance through Oliva
Annual dedicated learning and development budget
Monthly team socials and regular in-person meetups
Access to a dog-friendly Berlin headquarters

About the Company

Founded in 2018, The Sovereign AI Platform for Agents creates open and enterprise-grade developer tools that empower organizations to build purposeful AI solutions. Famous for Haystack, an open-source framework, and the Haystack Enterprise Platform, the company provides developers with complete control, transparency, and sovereignty over complex AI applications. Backed by GV and Balderton, the organization continues to grow its production AI community and customer base.

How to Apply

Interested candidates should visit the official company careers page at deepset.ai to submit an application.

Skills and tech stack

PythonKubernetesLLMTerraform

Questions candidates ask

What is the primary focus of the Product Engineering Tech Lead?

The role focuses on owning the serverless execution layer, durable streaming infrastructure, and observability that run customer AI applications at enterprise scale.

Is this position remote or based in an office?

The role is remote-first with flexible hours, and the company also maintains a dog-friendly headquarters in Berlin.

What technical stack and tools are required?

Candidates must be comfortable using Python and infrastructure as code tools like Terraform within a cloud-native Kubernetes environment.

What benefits are offered to team members?

Benefits include 30 days of vacation plus family sick leave, competitive salary and stock options, a monthly sports and mental health allowance via Oliva, a learning budget, and regular team socials.

What background does the company have?

Founded in 2018 and backed by GV and Balderton, deepset builds open and enterprise-grade tools like the Haystack framework for custom AI solutions.

Ready to apply?

The application is on the official deepset careers page.

Apply on company site