Top Artificial Intelligence Jobs in Berlin

Owns an AI finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. The role partners with engineering and cross-functional teams to build reliable, auditable products across regulated financial domains. Responsibilities include managing APIs, data flows, ledgering, reconciliation, security, regulatory requirements, financial rails, third-party dependencies, and AI safeguards.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, AI safeguards, and launch. Partner with engineering, compliance, operations, finance, treasury, and design to build reliable, auditable financial products involving payments, trading, financial rails, and third-party dependencies.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with appropriate evaluation, safeguards, and human oversight while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI-native fintech product vertical end-to-end, including strategy, roadmap, technical design, delivery, metrics, and launch. The role covers APIs, data flows, ledgering, reconciliation, security, scalability, regulatory requirements, financial rails, AI evaluation, safeguards, and cross-functional alignment across engineering, compliance, operations, treasury, finance, and design.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. The role covers reliable financial systems, APIs, data flows, ledgering, reconciliation, regulatory requirements, AI evaluation and safeguards, third-party financial rails, and cross-functional alignment across engineering, compliance, operations, treasury, finance, and design.

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements across KYC, transaction monitoring, privacy, limits, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a fintech product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI responsibly with evaluation, safeguards, human oversight, and failure handling while aligning engineering, compliance, operations, finance, and other stakeholders.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Build and ship AI-powered automations for Sales, Marketing, Legal Ops, and other departments. Discover and prioritize manual workflow use cases, develop production-ready solutions with AI and low-code tools, document handoffs, measure business impact, track emerging technologies, and apply internal data and AI governance standards. The role offers ownership in shaping a new company-wide AI adoption function.

Build and deploy AI-powered automations across Sales, Marketing, Business Development, Legal Operations, and other departments. Discover and prioritize use cases, create production-ready workflows using AI and low-code tools, document handoffs, measure business impact, track emerging AI capabilities, and apply data and AI governance standards.

Design and build an internal AI platform, evaluate and integrate large language models, develop APIs, and establish engineering standards.

As a Go-to-Market AI & Data Intern, you will enhance data accessibility, implement AI-driven solutions, and improve workflows while collaborating with various teams.

As a Product Specialist, you will serve as the primary contact for B2B customers, resolving technical issues, enhancing customer experience, and collaborating on product improvements.

Manage customer success and revenue growth, onboard customers, partner with cross-functional teams, and lead strategic projects to enhance customer relationships and drive innovation.

The Founders Associate Marketing role involves copywriting, performance marketing, and market research to drive growth for a green tech startup.

As a Product Specialist, you will engage with B2B customers to solve technical issues, enhance customer experience, and collaborate with the engineering team. You'll implement projects for growth in the renewable energy sector, requiring strong communication skills in German and English.

The Digital Marketing Specialist will create engaging content, support performance marketing, conduct market research, and analyze marketing data.

The Account Executive will enhance lead quality, build client relationships, conduct demos, close deals, and monitor market trends in renewable energy.

Reonic invites unsolicited applications from passionate individuals interested in renewable technology to contribute skills and ideas.

As a Voice AI engineer, you will build reliable systems, solve unique Voice AI challenges, and evaluate models for customer impact, taking ownership of projects.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.