20 beste Stellen als product engineering tech lead in berlin mahlsdorf – aktuell auf Personalsuche

Product Engineering Tech Lead
deepset —Berlin
- Vollzeit
- Homeoffice
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Sr. Project Manager - Scientific RWE Projects (f/m/x)
D4L data4life gGmbH —Berlin
- Vollzeit
- Doktorat
- PMP
- Master
- Homeoffice-Möglichkeit
Head of Engineering (Europe, 100% remote)
LimeFlight —Berlin
- Vollzeit
- Homeoffice
- Bachelor
- Führungserfahrung
- Kommunikationsfähigkeit
Staff Product Engineer (d/f/m)
Leapsome —Berlin
- 110.000 € – 165.000 € pro Jahr
- Vollzeit
- Master
- Führungserfahrung
- Homeoffice-Möglichkeit
Tech Principal Product Manager (Live TV), Fire TV Experience
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Bachelor
- Produktmanagement
- Führungserfahrung
Founding Engineering Team Lead (HandsOn)
TechBiz Global GmbH —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- Bachelor
Direkt bewerben
Lead Product Manager SmartPOS (m/f/d)
Unzer —Berlin
- Vollzeit
- Hybrides Arbeiten
- Management-Erfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Category Lead, Germany
Whatnot —Berlin
- 150.000 € – 200.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Homeoffice-Möglichkeit
Senior Technical Product Manager, Agentic AI IDEs (Developer Tools)-Tech Foundations
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- Produktmanagement
Direkt bewerben
Head of Engineering
Kuro Technology —Berlin
- 145.000 € – 210.000 € pro Jahr
- Vollzeit
- Führungserfahrung
Direkt bewerben
AI Operations Lead (w/m/d)
Everphone —Berlin
- Vollzeit
Direkt bewerben
Senior Product Manager - (Core Data, Tech Foundations)
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
12 Tage
Head of Mission Delivery and Operations
SKD SE —Berlin
- Vollzeit
- Führungserfahrung
Product Manager CAE (m/f/d)
dive solutions GmbH —Berlin
- 72.000 € – 81.000 € pro Jahr
- Vollzeit
- Master
- Bachelor
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
14 Tage
Product Manager - Safety Critical Systems
SKD SE —Berlin
- Vollzeit
- Master
- Bachelor
Lead Product Manager, Platform (all genders)
Distribusion Technologies —Berlin
- 90.000 € – 110.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
Direkt bewerben
Senior Product Manager - Tech, Amazon Music AI and Personalization
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Bachelor
- Produktmanagement
Lead Backend Engineer - Checkout (all genders)
SCAYLE —Berlin
- Ab 85.000 € pro Jahr
- Vollzeit
- Englisch
- AWS
- Personalführung
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Director/Head of Data & AI (f/m/d)
Upvest —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- Produktmanagement
- Führungserfahrung
Engineering Manager ERP (f/m/x)
Enpal —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
Direkt bewerben

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product engineering tech lead jobs near berlin mahlsdorf

Product Engineering Tech Lead

deepset
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Master

Vollständige Stellenbeschreibung

TL;DR

We are hiring a Product Engineering Tech Lead to own the layer that runs our customers' AI applications: serverless, durable, streaming execution, and the observability that proves it works. You sit where backend engineering, platform operations, and product meet. You scale this platform to enterprise grade, push it into new territory like long running autonomous agents, lead the team that builds it, and own the result end to end. This is a builder role with a founder mindset, not a maintainer role.

Why deepset

At deepset, we’re on a mission to make custom AI solutions accessible to every organization. With Haystack, thousands of developers build advanced LLM applications every day, while our enterprise AI Platform helps companies turn large language models into business value. We’re remote-first, flexible, and built on a culture of trust and ownership. You’ll collaborate with top-tier tech talent, tackle meaningful challenges, and help transform complex AI into solutions that are simple, powerful, and ready for the real world.

What you will do

Own the serverless execution platform. Pipelines and agents need to run fast, reliably, and concurrently at enterprise scale, and they need to behave identically whether invoked serverless or running as a deployed service. You'll architect the execution layer that makes that true, including the durability work (surviving node evictions, spot terminations, rolling deploys) needed to keep long-running agents alive for hours, not seconds.
Own streaming and long-lived connections. Conversational and agentic workloads here are long-lived, not simple request/responses. You'll own how those connections behave under pressure: backpressure, graceful shutdown, reconnects, for both end users and API clients.
Lead the team and the architecture. Set technical direction, make the hard tradeoffs, and translate product strategy into a system that holds up under enterprise load. You stay hands-on on the problems that matter most, even as your day-to-day coding share shifts over time.
Make reliability provable. Own observability and metering: tracing, alerting, per-customer cost and usage visibility, so the platform's reliability isn't just a claim, it's something you can show a customer. You'll also own on-call and incident response, closing the loop between what you build and what you operate.

What you bring to the team

Builder and founder mindset. You have started things, shipped them, and lived with the consequences. You think about what is next, not only about fixing what is in front of you. Startup or founder experience is a strong signal here.
You have built and operated systems on Kubernetes in production, and you are comfortable working from the ground up. This role is not about owning one slice of an existing system, or only operating infrastructure someone else designed. It is product work: building something new and owning the outcome.
Durable execution experience. You have worked with durable, fault tolerant execution: retries, failover, durable state, and human in the loop. You understand the failure modes, not just the happy path.
Serverless and function platforms at scale. Knative, KEDA, OpenFaaS, Fission, or similar. You know scale to zero, warm pools, cold start tradeoffs, and per request isolation.
Streaming and long running workloads. Server sent events or websockets, long lived connections, and the operational reality of keeping them alive through deploys and node churn. Agentic or AI workloads are a plus.
Operator instinct. Observability, alerting, service levels, and incident response are second nature. You hold the platform to a production grade standard because it has to work reliably for real customers.
You can lead a team and connect strategy to robust architecture. You make the technical direction legible to the rest of the team and to the business.
Comfortable in Python and with infrastructure as code (for example Terraform) in a cloud native stack.

Nice to have

Built Kubernetes operators or controllers, or automated deployments as a system rather than a script.
Taken a platform from zero to one all the way to production grade ownership.
Open source contribution or maintenance background.
Exposure to B2B SaaS, LLM, or agent infrastructure.

Benefits

Remote-first setup with flexible hours & tech of your choice
30 days vacation + extra days for family sick leave
Competitive salary & stock options for every team member
Monthly sports & mental health support allowance with Oliva
Annual learning & development budget
Monthly team socials & in-person meetups
Dog-friendly Berlin HQ

About us

Founded in 2018, deepset builds open and enterprise-grade tools that help teams build AI with purpose. From Haystack, our open-source framework, to the Haystack Enterprise Platform, we give developers and organizations the building blocks to solve complex, high impact challenges with AI with full control, transparency, and sovereignty. Backed by GV and Balderton, we’re growing the world’s production AI community and customer base solving challenges too critical to get wrong.

Direkt bewerben

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product engineering tech lead Jobs in berlin mahlsdorf

Product Engineering Tech Lead

Sr. Project Manager - Scientific RWE Projects (f/m/x)

Head of Engineering (Europe, 100% remote)

Staff Product Engineer (d/f/m)

Tech Principal Product Manager (Live TV), Fire TV Experience

Founding Engineering Team Lead (HandsOn)

Lead Product Manager SmartPOS (m/f/d)

Category Lead, Germany

Senior Technical Product Manager, Agentic AI IDEs (Developer Tools)-Tech Foundations

Head of Engineering

AI Operations Lead (w/m/d)

Senior Product Manager - (Core Data, Tech Foundations)

Head of Mission Delivery and Operations

Product Manager CAE (m/f/d)

Product Manager - Safety Critical Systems

Lead Product Manager, Platform (all genders)

Senior Product Manager - Tech, Amazon Music AI and Personalization

Lead Backend Engineer - Checkout (all genders)

Director/Head of Data & AI (f/m/d)

Engineering Manager ERP (f/m/x)

Ich möchte aktuelle Job-E-Mails für Stellen als product engineering tech lead in berlin mahlsdorf erhalten

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