{"id":3184894,"url":"https://alion.io/job/exness-ai-product-manager","title":"AI Product Manager","company":{"id":56887,"name":"Exness","domain":"exness.com","url":"https://alion.io/company/exness-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":null},"role":"Product","role_family":"Product","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Limassol, Cyprus"],"countries":["CY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":106000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1365},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-30T19:45:12Z","employer_posted_date":null,"last_verified_at":"2026-09-30T19:45:12Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":34},"description":"Why this role matters\nThe AI Platform Product Manager is responsible for the vision, roadmap, and development of internal on-premise AI products and platform capabilities, including Datalab, the on-prem AI toolkit, and Model Context Protocol (MCP) capabilities. The role translates organizational AI needs into platform products and capabilities, coordinates their development together with Engineering, demonstrates solutions to users, and drives the creation of MVPs for new AI products. The role works closely with relevant business and technical stakeholders to evolve Datalab and other internal AI capabilities. The role owns product outcomes across the lifecycle - from discovery and prioritization through delivery, adoption, measurement, and continuous improvement - ensuring the platform solves meaningful internal user problems and supports the organization's broader AI strategy.\nThe role is based in our office in Limassol, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.\nWhat you'll actually do\nDefine and maintain the Datalab (or other) vision and roadmap\nTranslate stakeholder needs and strategic priorities into product initiatives and development priorities\nDefine product objectives, success measures, and prioritization criteria\nManage the on-prem AI toolkit as a product, defining required capabilities and coordinating its ongoing development and improvement\nEnsure platform capabilities are reusable, scalable, and suitable for different internal AI use cases\nDrive MVP development for new AI products and capabilities\nIdentify user problems, validate hypotheses, define MVP scope, gather feedback, and determine whether solutions should be scaled, iterated, or discontinued\nDrive development and evolution of Model Context Protocol capabilities and related internal products\nIdentify high-value MCP use cases and define how internal systems, data, tools, and AI agents should interact through standardized interfaces\nWork closely with the Datalab Developer on Datalab development and coordinate implementation of agreed product priorities\nMaintain and prioritize the product backlog, clarify requirements, manage dependencies, and support Engineering throughout delivery\nConduct product demonstrations of AI platform capabilities\nDrive internal adoption, collect structured user feedback, communicate new capabilities, and use adoption and usage data to inform future priorities\nPartner with Engineering, Security, Infrastructure, Data, and AI stakeholders to ensure platform capabilities meet relevant technical, security, reliability, and governance requirements\nMonitor product usage and outcomes to continuously improve the platform\nWho we're looking for\nBachelor's or Master's degree in Computer Science, Information Systems, Data, Engineering, or a related field is preferred\n3-5+ years of Product Management experience, preferably involving technical platforms, developer products, data platforms, AI/ML products, or enterprise infrastructure\nHands-on experience delivering technically complex products in close collaboration with Engineering teams\nStrong understanding of internal technology platforms and AI products, including GenAI/LLM ecosystems and how AI applications are built and operated in an enterprise environment\nUnderstanding of LLMs, GenAI applications, AI agents, RAG, APIs, AI tooling, and Model Context Protocol (MCP)\nUnderstanding of on-premise versus cloud AI architecture, including associated security, infrastructure, and data considerations\nStrong experience in product vision and roadmap development, product discovery, MVP definition, backlog management, and prioritization\nAbility to translate business and user problems into technical product requirements, define product metrics, and use qualitative and quantitative evidence for prioritization\nStrong product thinking, analytical and problem-solving skills, stakeholder management, ownership, and communication skills, including the ability to challenge requests and operate effectively in areas where requirements are not always well defined\nEnglish level B2+, with the ability to collaborate effectively with Engineering, AI users, business stakeholders, Data, Infrastructure, Security, Architecture, and senior stakeholders\nWhat we offer along the way\nCompetitive salary and annual performance bonus\nFull relocation support for you and your family - flights, housing, visas, and legal assistance included\nTop-tier health insurance with full family coverage - medical, dental, vision, mental health - plus life insurance for peace of mind\nUnlimited learning opportunities: external courses, English lessons, career and leadership development\nEducation allowance covering school and kindergarten fees\n21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave\nEmployee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones\n\"Get to know Team\" trips - meet colleagues across our global hubs, along with company-wide offsites that raise the bar\nEmployee share scheme - grow with us\nBranded MINI Cooper Countryman company car and private parking\nFree in-house sports clubs, Sanctum Club gym access, and jet skis\nAccess to a Corporate doctor\nExclusive discount program with cafes, gyms, and local services\nExpat tax perks: up to 50% income tax exemption\nSupport with the naturalisation process for relocated employees\nWhat your journey looks like\nIntro call with Recruiter (30 minutes)\nTech interview & Live-coding (90 minutes)\nBehavioural interview (60 minutes)\nFinal interview (60 minutes)\nPlease apply using your company email address and ensure to disclose any existing Conflict of Interest you may have.\nTo help us manage this process securely, please do not share this job link externally.\nThank you!","description_format":"text","description_chars":5902,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Annual leave","Health insurance","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Online Brokerage & Trading Platforms","Forex & CFD Brokers"],"lifecycle":[{"event":"open","at":"2026-10-23T23:13:24Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long 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