Top Product Manager Jobs in Czechia

Lead end-to-end product lifecycle for AI/ML-powered pricing and price optimization products in manufacturing and distribution. Define roadmap, translate AI model outputs into customer-facing features, set objectives and metrics, and align sales, engineering, UX, and analytics to drive measurable pricing outcomes.

Build, prototype, evaluate, deploy, and improve agentic AI products for Pfizer’s regulated manufacturing network. Own agent backlogs, user discovery, experimentation, adoption, success metrics, governance, responsible AI, monitoring, and lifecycle operations. Partner with engineers, data scientists, manufacturing SMEs, Quality, Cybersecurity, and business stakeholders to convert manufacturing knowledge and user needs into production-grade intelligent agents that improve productivity, decision-making, and operational performance.

Build and maintain cloud-based media data pipelines and user-facing data products. Design, deploy and govern BigQuery/DBT pipelines, APIs and dashboards, ensure data quality/security, manage vendors, and drive product-oriented delivery and adoption.

Lead cross-functional teams to develop automotive lighting products. Serve as primary technical contact, manage project lifecycle from RFQ to serial production, negotiate technical requirements, implement mechanical/electronic/optical concepts, maintain Magna PDP documentation, support DV/PV testing and change control, and ensure timely delivery.

Lead product roadmap and a small engineering/QA team for an acquired B2B SaaS brand. Own merchant-facing activities, onboarding, conversion and expansion motions, documentation and processes, and apply AI tooling across support, specs, docs, and analysis to drive growth.

Own end-to-end product design for complex back-office tools supporting trading, risk, operations, and data teams. Work directly with internal users to understand workflows, simplify data-heavy experiences, validate solutions, and iterate. Build and evolve a scalable design system using existing component libraries and frameworks while partnering closely with product and engineering.

As a Full Stack Engineer, you will own the complete stack from UI to API, ensuring high-quality feature development and exceptional user experiences at a fast-paced startup.

Lead strategy and delivery for reporting and insights across dashboards, exports, APIs, and AI-assisted experiences. Partner with Data, Engineering, Design, GTM, and stakeholders to build accurate, auditable payroll-grade reporting, enable trusted metrics, and surface explainable insights and recommendations. Measure adoption, accuracy, and business impact while ensuring scalability, compliance, and cross-functional execution.

Own a product domain in Everstream's Supply Chain Risk Management platform: define customer problems, prioritise backlog, validate ideas with experiments, partner with Engineering and Data teams, and deliver analytics and decision-support capabilities that produce measurable business outcomes.

Lead product strategy and lifecycle for Liquid Staking/Restaking products. Drive development, launch, and growth by collaborating with engineering, design, and marketing. Gather stakeholder and user feedback, perform competitive and market research, and prioritize data-driven product improvements to increase adoption and differentiation.

Own and scale the AI connector ecosystem, including MCP servers, third-party APIs, and app integrations. Define roadmaps, specifications, evaluation frameworks, success metrics, and build-versus-buy decisions. Partner with AI engineers on prompts, structured outputs, agentic workflows, testing, and observability. Monitor performance through Mixpanel and Langfuse, run experiments, manage launches, and communicate technical priorities across engineering, growth, data, and billing teams.

Support NPD team with day-to-day operations: supplier communication, sample coordination, documentation, tracking tasks/deadlines, meetings, invoices and admin. Build and own NPD processes, improve workflows, and keep product data and specs accurate in internal systems.

Own end-to-end design for compute experiences in Nebius Console, including resource creation, configuration, monitoring, management, and troubleshooting. Translate technical constraints, business goals, and user needs into scalable workflows, information architecture, and interaction models. Partner with product, engineering, research, and design teams; validate solutions through research, prototypes, data, and feedback; support implementation quality; and contribute to the design system.

Senior Product Engineer responsible for owning a cell’s business metric, designing and delivering production software, monitoring deployments, participating in on-call, and driving scalable architecture. The role includes leading technical initiatives, reducing technical debt, mentoring engineers, conducting constructive code reviews, and influencing cross-cell technical decisions. Candidates should have strong system design, data modeling, application architecture, and AI-assisted development expertise, with at least five years of professional software development experience.

Lead product strategy and roadmaps for RevenueCat’s Funnels and Workflows products. Conduct customer research, identify adoption barriers, define product vision, develop growth-focused features, analyze metrics, and collaborate with engineering, design, data, and go-to-market teams to improve subscriber conversion, retention, and revenue.

Build high-impact full-stack features and reusable services for marketing, signup, KYC, onboarding, and funding experiences across web and mobile. Collaborate with product, design, data, and infrastructure teams to improve activation, retention, and monetization. Design scalable distributed systems, participate in architecture discussions, measure results through experimentation, and maintain strong performance, reliability, and security standards in a globally distributed environment.

Owns Solar Turbines product lines and supports engine assembly, disassembly, testing, tooling, and manufacturing work instructions. Analyzes production data, establishes time standards, improves safety, quality, cost, velocity, and manufacturability, and implements new processes and equipment. Develops tooling concepts, coordinates with design teams, resolves technical issues, and communicates with U.S. engineering departments.

Build and modernize Productboard’s frontend platform, migrating its legacy design system to Spark UI. Design AI-ready module boundaries, API contracts, documentation, and agent workflows involving tool use and autonomous execution. Develop high-performance React applications, validate experiments with users, collaborate with product and design teams, own features through production, mentor engineers, and share engineering knowledge across the organization.

Lead a product design mission: craft interaction and interface designs, use AI across research and prototyping, build wireframes and working prototypes, run customer research and testing, collaborate with PMs and engineers, improve team design tools/processes, and ensure shipped product matches design quality.

Lead product analytics by defining metrics, building metric frameworks, analyzing funnels and user behavior, designing and analyzing A/B tests, setting up instrumentation and dashboards, and partnering with product, engineering, and leadership to turn data into product strategy and measurable business impact.

Operate on L2/L3 customer escalations and eliminate recurring reliability issues by driving root-cause analysis, building diagnostics and tooling, owning test automation and CI stability, improving installation/upgrade robustness, establishing performance baselines, and writing production-quality code to close the reliability feedback loop.

Lead strategy and roadmap for the Core Platform and Public API, drive discovery with customers and stakeholders, define and deliver features end-to-end, partner with Engineering to scope and ship work, improve developer experience and docs, and align cross-functionally for launches and adoption.

Lead product definition and delivery for AI research tools by engaging data scientists and researchers, translating workflows into detailed specifications, owning the roadmap, collaborating with UX and engineering, and aligning stakeholders to prioritize and deliver MLOps-focused features.

The Senior Product Designer will create and enhance the Kraken app's design, collaborating with cross-functional teams to deliver user-centered solutions and improve brand expression.

Own and prioritize the product backlog for customer-facing mobile apps, write user stories and acceptance criteria, collaborate with engineering, UX/UI, QA and analytics, support discovery and go-to-market activities, monitor customer behavior and KPIs, and deliver incremental product improvements across European markets.