#91: Jobs at Kaufland, Intercom, Zapdeck, Just Eat Takeaway.com + more
May 18 — The sun's kind in and out, the city's slow, and somehow there are still jobs to apply to.
Hey 👋 Ampli community, hope you got some sun this weekend. We've got a fresh stack of roles, events and high-signalling content to share. Let's get into it.
🚀 “The AMPLI Board” of jobs
This week’s hiring picks are live. Head over to the job board and have a look!
Spot something off on the board? Missing a feature? Have a brilliant idea? Tell us. Let’s build this together. 💬
✨ This week's Top Picks
🤖 Senior AI Engineer | Multi-agent systems, role incl. VSOP — Zapdeck · Senior · Berlin
Berlin AI startup building multi-agent systems, this role comes with VSOP equity, meaning you’re being brought in at a level where you’ll shape the architecture from the ground up.
Min. Requirement: Strong background in AI/ML engineering with hands-on multi-agent system design; senior-level experience shipping production AI products.🚀 Devops Engineer – EU (Remote) — Coralogix · Mid-Level · Remote (EU)
Coralogix is a full-stack observability platform used by 2,500+ companies to monitor, analyse, and alert on their infrastructure, and this role is fully remote.
Min. Requirement: Solid DevOps fundamentals with Kubernetes, cloud platforms (AWS/GCP/Azure), and CI/CD; comfortable working remotely across distributed teams.👔 Group Product Manager - AdTech — Delivery Hero · Senior · Berlin
The AdTech team powers restaurant advertising across the entire Delivery Hero global marketplace.
Min. Requirement: Senior PM experience in ad tech, performance marketing, or marketplace monetisation; data-driven with strong stakeholder alignment skills.📱 Senior Android Engineer, Consumer Mobile Platform — Wolt · Senior · Berlin
Wolt, acquired by DoorDash for $8B, serves tens of millions of users across 25+ countries. The Consumer Mobile Platform team owns the core app experience that powers every order.
Min. Requirement: 5+ years of Android engineering; deep knowledge of Kotlin, Jetpack, and mobile architecture patterns; experience with large-scale consumer apps.⚙️ Software Engineer (m/w/d) - Trading Systems Energy — Rabot Energy · Mid-Level · Berlin
Rabot Energy is building software to automate energy trading for consumers and businesses, combining real-time systems with energy markets.
Min. Requirement: Backend engineering experience in high-performance or real-time systems; interest or background in energy, finance, or algorithmic trading is a plus.💻 (Senior) Full-Stack Engineer | Tracking — Kaufland e-commerce · Senior · Berlin
The Tracking team owns the data infrastructure that powers conversion analytics across their platform.
Min. Requirement: Full-stack experience with modern web frameworks and a strong data engineering or analytics pipeline background; comfortable owning tracking infra end-to-end.📊 Senior Data Scientist — Just Eat Takeaway.com · Senior · Berlin
Just Eat Takeaway.com is one of Europe’s largest food delivery platforms with 100M+ orders annually, and data science here operates at a scale where model improvements translate to millions in impact.
Min. Requirement: 4+ years in data science with strong Python and ML skills; experience with experimentation, causal inference, or marketplace dynamics preferred.🎨 Staff AI Designer — Intercom · Senior · Berlin
Intercom is the AI-first customer communications platform used by 25,000+ businesses globally. This staff-level design role sits at the intersection of AI product design and enterprise UX.
Min. Requirement: Senior/Staff design experience with a strong portfolio in AI or conversational UI products; Figma-native with the ability to define design systems at scale
📆 Upcoming Tech Events
Catch the latest in tech with our weekly roundup of buzzing events!
People & Culture Breakfast | AI Adoption Mindset | Friday, May 22
Foresight Workshop: Bootstrapping Research Agents — Hands-On for Scientists | Saturday, May 23
From Prototype to Live App | Sunday, May 24
Hiring Managers in AI related roles: What do they look for and how to break in. | Tuesday, May 26
Builders & Brews Berlin | Wednesday, May 27
All in Kubernetes - Berlin Edition | Wednesday, May 27
MCP Connect Berlin with N26 & Alpic | Wednesday, May 27
AI Safety Lunch + Coworking @ CIC | Thursday, May 28
IBM x KI Park - The Intelligent Enterprise Stack | AI. Automation. Resilience. | Thursday, May 28
May We Talk About Data? | Thursday, May 28
Berlin AI Guild Dinner with ZemaF and Ojin AixHaus | Thursday, May 28
AEO Hackathon ft. HubSpot, duwerk & scaile | Friday, May 29
🖥 High-signal content and news
What happens when AI starts building itself? — Richard Socher (ex-Salesforce Chief Scientist, You.com) and a team from Google DeepMind, Meta AI, and OpenAI launched a lab with a single thesis: the fastest path to superintelligence is AI that autonomously redesigns itself, without human involvement at each cycle. GV, Greycroft, Nvidia, and AMD backed the round at a $4.65B valuation, for a 25-person team with no product yet. Whether recursive self-improvement produces runaway acceleration or hits diminishing returns is the genuinely open question this company is betting $650M on.
ERT: 7–10 min · 🔬 Researchers
Notion just became a programmable layer for AI agents, and it’s free until August. Notion’s new Developer Platform adds Workers (hosted custom code), live database sync from Salesforce/Zendesk/Postgres, and an External Agents API that lets Claude Code, Cursor, Codex, and Decagon operate inside the workspace natively. Users have already built 1M+ custom agents since February. The strategic bet: teams will consolidate AI workflows into wherever their documents and projects already live, rather than stitching together separate automation tools.
ERT: 5–7 min · 🎨 Design & PMs · 🧑💻 Engineering and Data
Runway hit $5.3B and added $40M ARR in one quarter — because it’s betting on world models, not just video— Runway’s three Latin American co-founders have quietly built one of the most financially healthy AI companies in the field. After launching its first world model in December, the company now argues that video generation is the fastest path to models that understand physical reality, a direct challenge to Google’s approach and a bet that Hollywood budgets are just the training data for something much larger.
ERT: 6–8 min · 🚀 Founders
Elephant Company raises €5M to bring AI training to the 70% of workers who don’t sit at a desk 🇩🇪 — Berlin-based Elephant raised €5M led by EnBW New Ventures to scale its AI training platform for frontline and blue-collar teams, turning technical PDFs and documentation into mobile-ready microlearning modules, available at the point of need. Backed by angels from Flix and home24, and targeting a market where most enterprise AI has barely scratched the surface. ERT: 3–5 min · 🇩🇪 Berlin · 🌱 Entry Level Relevant
Energy tech: 10 companies that raised the most in 2025 — The top 10 rounds show a clear pattern: debt financing dominated for infrastructure-heavy companies (EV charging, battery storage, grid flexibility), while equity went to deployment-ready platforms. Germany, the UK, the Netherlands, France, and Sweden led deal flow. For founders and job seekers, the map of where capital is concentrated in 2025 is also the map of where hiring will be concentrated in 2026.
ERT: 5–7 min · 🚀 Founders · 🌱 Entry Level Relevant
How I Use AI as a Product Manager — Sachin Rekhi (founded Notejoy, ex-LinkedIn PM) published a PM’s practical map of where AI creates leverage in his day-to-day, and it's been making the rounds. He walks through every major PM responsibility — discovery, PRDs, roadmapping, stakeholder comms, analytics — and is specific about where AI genuinely saves hours versus where it still needs you.
ERT: 8–10 min · 🎨 Design & PMs
The graphs that explain the state of AI in 2026 — one of the most-shared reads on HN this week — A data-heavy visual essay mapping where AI actually stands: benchmark saturation, compute scaling curves, the gap between lab performance and real-world deployment, and where the next capability jumps are most likely to come from. Less opinionated than most AI commentary, more useful for forming your own mental model of the field.
ERT: 10–15 min · 🔬 Researchers · 🧑💻 Engineering and Data