Top Artificial Intelligence Jobs in Krakow

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, reliability, security, and scalability. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI-driven financial product vertical end to end, including strategy, metrics, backlog, technical design, money-movement correctness, regulatory requirements, and launch readiness. Partners with engineering, compliance, operations, treasury, finance, and design to balance reliability, security, scalability, cost, and user experience. Defines responsible AI use, evaluation methods, human oversight, and failure handling while ensuring financial data is accurate and user-facing features are trustworthy.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Own product areas within AI stockbroking and broader financial services, defining user problems, product direction, roadmaps, metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to launch features, monitor outcomes, and drive continuous improvement while balancing speed, user experience, business impact, compliance, and operational complexity.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.

Design and deliver AI platform features and agents for a PLM application: build RAG/vector search knowledge systems, conversational AI, cloud-native deployments, CI/CD/GitOps pipelines, and ensure scalable, observable production delivery while partnering with product through discovery and iterative delivery.

Owns an AI-focused financial product vertical end to end, including strategy, metrics, prioritization, technical design, money-movement correctness, regulatory requirements, and launch readiness. Partners with engineering, design, compliance, operations, treasury, and finance to make trade-offs and ship reliable products. Defines appropriate AI use, evaluation methods, human oversight, and failure handling while ensuring financial data is accurate and users are not misled.

Lead product direction, roadmaps, standards, metrics, execution, and quality for major areas of KIRA’s AI stockbroking app. Guide PMs, product owners, designers, and engineers across multiple squads while balancing user experience, data, engineering, business, regulatory, and operational constraints. Drive launches, post-launch learning, continuous improvement, and a high-velocity product culture across financial services.

Lead product direction, strategy, roadmaps, standards, and success metrics for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple squads; balance regulatory, operational, UX, data, engineering, and business constraints; drive launch quality and continuous improvement across financial services including insurance, payments, savings, investing, and travel.

Lead product direction, roadmap, standards, and success metrics for major areas of KIRA’s AI Neobank App. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Balance regulatory, operational, user experience, data, engineering, and business considerations while driving launch quality, post-launch learning, and continuous product improvement.

Lead product direction, roadmaps, standards, metrics, execution, and quality across major AI finance app areas and multiple squads. Guide PMs, product owners, designers, and engineers while balancing strategy, UX, data, engineering, business, and regulatory constraints. Drive launches, post-launch learning, continuous improvement, and a high-velocity product culture across financial services including insurance, payments, savings, investing, and travel.

Own product areas for KIRA’s AI Stockbroking App and other financial services. Define user problems, product scope, metrics, roadmaps, 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.

Design, implement, and optimize ETL/data pipelines, data quality metrics, APIs, and enrichment for AI/ML platforms; research big-data technologies; run trials, write technical documentation, and collaborate in project teams.

Own product areas for KIRA’s AI neobank app 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 launch, measure, and improve products. Simplify complex financial journeys while balancing speed, usability, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to make decisions, launch features, monitor results, and drive continuous improvement while balancing speed, user 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 Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product direction, scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, ship quickly, and continuously improve products while balancing customer experience, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services, defining user problems, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, metrics, and production insights to launch features, monitor performance, make trade-offs, and drive continuous iteration with high ownership.

Own product areas for KIRA’s AI Stockbroking and broader financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; use research, feedback, metrics, and production issues to improve decisions; launch features, monitor performance, and drive iterative improvements while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, research, feedback, and production insights to launch, measure, and continuously improve products.

Own AI Investing product areas from user problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans while partnering with engineering, design, data, operations, compliance, and business teams. Simplify complex financial services, use research and performance data to guide decisions, manage trade-offs, and drive execution with high ownership.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related 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 workflows, launch features, monitor performance, analyze feedback and data, and drive continuous improvements while balancing speed, usability, business impact, compliance, and operational complexity.

Own product areas within KIRA’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own product areas within AI Stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, launch features, monitor performance, use research and feedback to iterate, and balance speed, user experience, business impact, compliance, and operational complexity. The role is remote but requires candidates to be based in Poland.