Top Artificial Intelligence Jobs in Amsterdam

Own and build Polaroid’s People Operations function, including HRIS architecture, people data, employee lifecycle processes, compliance, payroll inputs, benefits, and mobility support. Lead cross-functional projects and modernize employee services through AI automation, workflows, chatbots, and policy knowledge bases. Manage HR technology integrations, data quality, dashboards, compensation cycles, and employment-law processes across jurisdictions while partnering with Finance, IT, Legal, Payroll, and Talent Acquisition.

Embed on-site with mid-market CEOs to lead Valis AI deployments: own executive relationships, run transformation cadences, drive fast fixed-scope wins, translate problems into build-ready specs, ensure finance-verified P&L outcomes, manage end-to-end rollout and adoption, and codify repeatable deployment methods.

Lead AI-focused consulting engagements, build C-suite relationships, drive profitable growth and business development, oversee multi-disciplinary delivery, ensure operational excellence and utilization, shape strategic initiatives and thought leadership, and mentor talent to deliver transformational Data & AI and cloud solutions.

Owns an AI-focused financial product vertical end to end, including strategy, metrics, backlog, technical design, money-movement correctness, regulatory requirements, AI evaluation, and launch readiness. Partners with engineering, design, compliance, operations, treasury, and finance to ship reliable, trustworthy products across regulated markets. Requires strong system-design knowledge, technical product leadership, regulated-domain experience, and hands-on judgment with LLM products.

Leads major product areas for KIRA’s AI stockbroking and neobank app. Owns product direction, priorities, roadmaps, standards, metrics, execution, launch quality, and continuous improvement across multiple squads and financial-service workstreams. Guides product managers, product owners, designers, and engineers; balances UX, data, engineering, regulatory, operational, and business considerations; and simplifies complex financial products into usable customer journeys.

Lead product direction and execution for major areas of an AI investing and neobank app. Own roadmaps, priorities, product standards, metrics, launch quality, and continuous improvement across multiple squads and financial services. Guide product managers, product owners, designers, and engineers while balancing regulatory, operational, technical, user, and business constraints. Mentor product teams, simplify complex financial journeys, and build a fast, high-quality, outcome-focused product culture.

Lead product direction and execution for major areas of an AI neobank app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads. Guide product managers, designers, engineers, and product owners while balancing user experience, data, engineering, business, regulatory, and operational constraints across financial services including payments, savings, investing, insurance, and travel.

Lead product direction, roadmap, standards, priorities, and success metrics for major AI finance app areas. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, translating regulatory and business constraints into product decisions. Own launch quality, post-launch learning, continuous improvement, and product culture while balancing strategy, UX, data, engineering, and business outcomes.

Own product areas for KIRA’s AI Stockbroking App and broader financial services products. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own the AI product vision, roadmap, prioritization, and delivery from ideation through launch. Translate business needs into technical requirements while collaborating with engineers, data scientists, marketers, and commercial teams. Drive AI adoption, monitor trends, define success KPIs, and ensure responsible, ethical, and privacy-compliant product usage.

Design and scale Go-based microservices that orchestrate high-concurrency, multimodal AI generation workflows. Optimize ConnectRPC services and Kafka/SQS asynchronous pipelines for long-running inference tasks, manage AWS infrastructure and high-throughput storage and compute, and collaborate with AI researchers to deliver reliable creative tools. The role emphasizes distributed systems, performance, observability, testing, and professional-grade media or creative applications.

Build and deploy production-grade LLM capabilities for the Kayzen Console. Responsibilities include developing AI-backed APIs and full-stack features, implementing RAG, embeddings, agents, and tool calling, and establishing evaluation, monitoring, observability, and feedback systems. The role optimizes quality, latency, reliability, and cost; troubleshoots production issues; collaborates with Product, ML, and Engineering; and turns prototypes into maintainable AI products.

Own product areas within KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define user problems, product scope, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, launch features, monitor performance, use research and feedback, and continuously iterate while balancing speed, customer experience, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; launch features, monitor performance, analyze feedback and data, and continuously improve products while balancing speed, customer experience, business impact, compliance, and operational complexity.

Leads global privacy and AI legal matters for a SaaS employment platform. Advises Product, Engineering, Security, and business teams on privacy by design, AI governance, data protection, workforce data, incidents, regulatory compliance, vendor reviews, transfers, and contract terms. Builds scalable policies, controls, templates, training, and customer-facing trust materials while monitoring global privacy and AI regulations.

Own AI Investing product areas by defining user problems, product direction, roadmaps, success metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and drive iterative improvements. Balance user experience, business impact, speed, compliance, and operational complexity while making data-informed decisions with limited guidance.

Own AI Finance product areas across financial services, including insurance, payments, savings, investing, and travel. Define user problems, product direction, roadmaps, success metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launches. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, experiments, and performance data to iterate quickly while balancing user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Investing and broader financial services offerings. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong ownership, prioritization, stakeholder management, and comfort making decisions with incomplete information.

Own product areas for an AI neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to ship features, monitor performance, and iterate using research, feedback, experiments, and production data. Balance speed, usability, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, launch features, monitor performance, analyze feedback and data, and drive continuous improvements while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas across KIRA’s financial services, defining user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use metrics, research, feedback, and production insights to launch features, monitor performance, make trade-offs, and drive continuous improvement.

Own product areas across KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify financial workflows; use research, feedback, data, and production issues to improve decisions; and launch, monitor, and iterate features while balancing speed, usability, business impact, compliance, and operational complexity.

Own product areas within AI Investing and broader financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams. Simplify complex financial products, use research and feedback to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas across BJAK’s financial services, including investing, insurance, payments, and savings. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use metrics, research, feedback, and production insights to improve products after launch. The role requires fast execution, strong prioritization, stakeholder management, and independent decision-making in a remote Austria-based team.