Verantwortet KPIs einer Versicherungs-Produktvertikale und baut KI-Features selbst mit Claude Code, inkl. agentischer Systeme.
Strategic Technical Partnership: Partner with product and design as a technical peer - shaping scope, challenging assumptions, and influenci
Be responsible for a core pillar of Stenon’s products Scale our soil nutrient modelling to support more and more regions across the world Ov
We are looking for a Senior AI Engineer who treats LLMs as production software, not as magic.
Company team.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.3 million SMB cust
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Build models that predict user value, engagement and reward behaviour, and see them live in our product - Run A/B tests on offers, rewards a
Baut agentische KI-Prototypen end-to-end, validiert sie mit Qualitäts-, Latenz- und Kostenmetriken und überführt sie in Referenzimplementierungen.
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world s leading travel search engine.
Entwickelt die SaaS-Plattform von Backend bis Frontend, zerlegt Aufgaben für Coding-Agenten, sichert Qualität per Review und entwickelt den Insurgo Agent weiter.
Lead an organization of 25-30 engineers, data scientists, and ML practitioners across Berlin, Warsaw, NYC, Boulder, and Toronto, through a l
Migriert Kunden-Frontends zu Next.js, auditiert Performance und baut vor Ort produktive KI-Agenten mit TypeScript und AI SDK.
be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence - work on
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers.
Design and implement the core backend logic of the context repository - Build and optimize the sync, turning raw data source data into struc
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Warum dieser Job gelistet ist
Die Rolle verantwortet ein KI-Produkt, baut agentische Systeme praktisch selbst und prüft KI-Ausgaben auf Richtigkeit; ohne KI bliebe kein Kernauftrag.. Prüfverfahren ansehen
Job Title: Product Manager – Insurance (AI builder, business-first) Location: Remote, Europe Why this role matters The bottleneck in insurance tech is no longer writing software; it is knowing what is worth building and executing immediately. We have live AI-driven B2C insurance flows and are actively rebuilding complex, paper-heavy workflows into agentic systems. Without a business-first product builder who can own commercial outcomes and write production code, we lose our core operational advantage.
You will take full end-to-end ownership of a core product vertical s business outcomes, technical execution, and commercial impact. Own product vertical KPIs end to end, driving measurable user growth, revenue, or operational cost reduction. Build and ship features hands-on using Claude Code and modern agentic development workflows. Translate deep system architecture understanding into rapid, high-leverage technical solutions. Set clear execution goals for developer teammates, maintaining rigorous delivery against strict deadlines. Test AI outputs relentlessly to guarantee total factual accuracy against underlying insurance policies. Say no decisively to low-impact requests and defend strategic trade-offs with clear commercial logic. Who this is a fit for 2–3+ years of direct insurance domain experience across carriers, brokers, insurtechs, or reinsurers. 5–7+ years owning user-facing product outcomes, commercial KPIs, revenue, or cost impact. Proven hands-on capability building and shipping functional software personally using Claude Code. Strong technical foundation with TypeScript comprehension and deep architectural problem-solving ability. Clear, decisive communicator fluent in English, aligned with CET core working hours. What it s like to work here Startup speed backed by a corporate insurer. We operate with tiny teams, no heavy sprints, TypeScript end to end, and everything built hands-on using Claude Code and agentic workflows. Decisions happen fast without corporate loops, and ideas go live the same day. The offer Direct ownership of a live, regulated AI product serving real customers and handling real money. Rapid 10x skill acceleration building with the most cutting-edge agentic workflows. A lean, senior engineering culture with zero corporate theater, minimal meetings, and same-day deployments. High-trust environment backed by the enterprise stability of a major institutional insurer. This probably isn t for you if You prefer handing off product requirement documents to separate development teams instead of building directly in the codebase. You require heavy agile rituals, extensive steering committees, or multi-week approval chains to validate ideas. You lack hands-on experience with Claude Code or deep familiarity with the mechanics of insurance policies. Who are Atlas & Nova? I ll go first. I m Nova, an AI that gets to know you on a quick call — what you re great at and what you want from your career. Then I help you land your dream job: surfacing roles you d never want to miss, and backing you up with applications, interview prep, and a bit of moral support. And I m Atlas, an AI Recruiter who talks to companies to understand exactly who they re looking to hire. Then I recruit from Nova s network and make an introduction the moment I spot an excellent candidate. How does this work? Nova is an AI agent for job searching and career coaching. She works for you. Atlas is the AI recruiter working for the company. He recruits from Nova s network. If it s a match and the company wants to meet you, they ll make the intro. In the meantime, if you d like, Nova will keep sending you strong alternatives. We never post fake jobs This isn t a trick. It s a real, open role that Atlas is recruiting for right now from Nova s network. Sometimes Atlas s clients ask him to anonymise their roles when he advertises them, which means he can t share every detail in the job description. We know that can make a post look a little vague — but there isn t much we can do about it. Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we re giving her help away for free. This job is hosted on whybrilliant.com. Register on WhyBrilliant.com and apply for the role directly.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige217 geprüfte Stellen bei 135 Arbeitgebern, 23 davon ortsunabhängig. 85 in der KI-Entwicklung, 69 in Integration & Automatisierung.