Top Product Manager Jobs in Czechia

Owns an end-to-end product area within Menlo Security’s agent runtime security platform. Responsibilities include researching agent security, identity, protocols, and competitors; writing PRDs and acceptance criteria; managing backlogs; partnering with engineering through releases; prototyping with AI tools, MCP clients, and agent runtimes; tracking adoption and success metrics; enabling support and solutions engineering; and supporting customers, sales, marketing, and competitive positioning.

The Director of Product Development owns BURGA’s product strategy and roadmap across multiple physical-goods categories. They lead end-to-end product development from research, design, prototyping, testing, and sourcing through launch and supply-chain handoff. The role manages suppliers, quality standards, product KPIs, and a multidisciplinary engineering/testing team while building scalable processes and developing leaders. Success requires delivering innovative, high-quality products on schedule and improving commercial performance across the portfolio.

Lead a Platform Experience product group to define vision, strategy, and metrics; manage and grow PMs; create a consistent API-first developer experience across CLI, SDKs, Terraform and docs; reduce time-to-first-value from PoC to production; evolve quotas, capacity and multi-tenant resource models; and unify customer notifications and communications.

Own the end-to-end Brief mode experience for an AI-powered advertising SaaS product. Design brief creation, AI analysis, collaboration, review, approval, and creative workflows. Prototype agentic interactions, conduct user research and usability testing, analyze product data, collaborate with Product, Engineering, and AI teams, and maintain a scalable design system.

Analyzes marketing and CRM data to define metrics, identify performance opportunities, maintain data quality, and support cross-functional decision-making. Builds Tableau dashboards, evaluates marketing channel effectiveness, develops automated reporting, and recommends optimization strategies. Requires advanced SQL, statistical analysis, attribution knowledge, and experience with marketing analytics. Collaborates with Marketing, Finance, and Product while working independently.

Own Kraken Pro’s global onboarding experience from first landing through first trade. Analyze onboarding funnels, identify friction and drop-off points, improve UX, build customer trust, and accelerate activation. Partner with Design, Data, Engineering, and Marketing to ship improvements, while using AI for funnel analysis, churn prediction, personalization, and faster product execution.

Own the strategy, roadmap, metrics, and adoption of JetBrains Context, a managed retrieval layer for AI coding agents. Partner with engineering, ML, platform, IDE, marketing, sales, and customer success teams to improve indexing, retrieval quality, integrations, reliability, cost, and latency. Define product direction, evaluate competitors, establish quality metrics, communicate with customers and developer communities, and drive enterprise adoption.

Lead the end-to-end design of MetaMask’s Prediction Markets experience, from discovery and trading through position management and iteration. Translate complex concepts such as probabilities, liquidity, and market mechanics into clear user experiences. Partner closely with Product and Engineering, prototype rapidly using AI, and maintain high standards for visual and interaction design informed by research and data.

Build and maintain data pipelines and infrastructure for analytics, experimentation, and company metrics. Collaborate with machine learning engineers on training, quality assessment, and model release automation. Improve data delivery processes, automate manual workflows, and develop scalable data models. The role requires strong Apache Spark and Python expertise, SQL proficiency, Git experience, and familiarity with cloud data platforms and Kubernetes.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Own the vision, roadmap, backlog, and delivery priorities for pricing and contracting analytics products. Translate business needs into features and user stories, coordinate stakeholders and technical teams, drive Agile planning and release coordination, and manage adoption, performance, risks, dependencies, and business value. The role requires analytics or digital product delivery experience, stakeholder management, and familiarity with Jira, Confluence, or similar tools.

Lead the end-to-end lifecycle and roadmap for AI-powered B2B pricing and price optimization products. Translate customer and business needs into product requirements, partner with data science, engineering, UX, sales, and analytics teams, and define pricing metrics and goals. Drive agile execution, evaluate competitive and AI trends, communicate strategy and tradeoffs, and deliver customer-facing capabilities for manufacturing and distribution markets.

Own Kraken Consumer’s growth marketing enablement product roadmap, connecting marketing and product to improve acquisition, conversion, reactivation, and retention. Design campaign journeys, lifecycle messaging, incentives, referral mechanics, landing pages, and measurement foundations across web and mobile. Lead experimentation, define funnel metrics, and partner with marketing, design, engineering, and data teams to deliver growth initiatives.

Lead 0-to-1 product development for Kimchi’s AI coding and infrastructure products. Responsibilities include identifying high-value customer problems, conducting discovery, validating hypotheses, prioritizing opportunities, partnering with engineering and design, defining success metrics, driving adoption, and communicating product direction. The role requires strong judgment in ambiguous, rapidly changing technical markets and hands-on use of modern AI tools.

Own the strategy, roadmap, onboarding, lifecycle management, and deployment of Cloudera’s Kubernetes distribution across public cloud, private cloud, and air-gapped environments. Translate customer needs into product requirements, lead cross-functional delivery, integrate platform services, monitor performance, drive adoption, and optimize the product throughout its lifecycle.

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.

Owns tooling system specifications and backlogs, prioritizes improvements, and coordinates rollout into manufacturing. Collaborates with engineering, quality, manufacturing, and stakeholders; facilitates Agile ceremonies; analyzes performance data; maintains technical and regulatory documentation; gathers customer feedback; and drives process optimization. The role requires manufacturing experience, strong analytical and communication skills, Agile and product management tool proficiency, technical writing ability, and willingness to travel.

Design and deliver digital products and websites from discovery to delivery. Collaborate with Tech Leads and Product Managers, conduct user research, craft visual direction, ensure UX/UI consistency, contribute to documentation, and explore emerging AI technologies.

Lead the strategy and execution of PandaDoc’s document experiences, including creation, authoring, collaboration, structured content, and AI-powered workflows. Partner with design, engineering, AI platform, and core platform teams to deliver scalable document systems, APIs, integrations, and data models. Guide multiple squads, define product direction, run experiments, incorporate customer feedback, and ensure cohesive document journeys from drafting through completion.

Own the strategy, roadmap, and delivery of RevenueCat’s analytics products, including charts, benchmarking, dashboards, and predictive LTV. Investigate complex data issues, develop metrics and benchmarks, define product vision, and collaborate with engineering, data science, design, leadership, and go-to-market teams. The role requires strong product management experience, analytical and technical fluency, customer empathy, data visualization expertise, and the ability to make independent product decisions in a remote environment.

Own complex product design problems from discovery through production. Partner with Product and Engineering to simplify technically complex workflows for developers, conduct customer research, prototype and iterate solutions, and maintain high standards for interaction and visual craft. The role includes shaping product direction, designing intuitive workflows, contributing to design systems, supporting implementation, and improving the broader design practice in a remote, asynchronous environment.

Own Pencil’s Evals & Quality product charter, including creative-quality metrics, judging rubrics, human-review processes, golden datasets, and scalable evaluation loops. Lead adevals.ai as a product, provide quality evidence for commercial work, define client-specific quality standards, and manage the full product lifecycle from discovery through post-launch audits. Success is measured through first-pass-right quality, evaluation coverage, judge-human calibration, dataset health, commercial adoption, and learning velocity.

Own product marketing for Cyara’s Agentic AI assurance products, including positioning, messaging, go-to-market launches, competitive intelligence, sales enablement, technical content, and cross-functional collaboration. The role targets enterprise buyers through sales-led motions and requires measurable pipeline impact, strong writing and presentation skills, and comfort working with technical teams. Experience in AI, contact centers, QA, testing, observability, or monitoring is advantageous.

Analyze customer behavior and product usage to identify opportunities, measure feature impact, define success metrics, run experiments, and deliver actionable recommendations. The role partners with Product, Design, Engineering, and UXR, while building dashboards, reusable analyses, documentation, and automated workflows. Strong emphasis is placed on statistical rigor, product insight, communication, and responsible use of AI to improve analytical productivity.

Own product strategy and roadmap as the first Product Manager. Prioritize customer and business needs, analyze usage and funnel data, collaborate closely with engineering, make informed tradeoffs, and ship SaaS product improvements. The role requires prior experience launching and iterating on paid SaaS products, technical fluency, independent decision-making, and comfort working asynchronously in a distributed team.