Product Manager

About the job

Primary Job Responsibilities Product vision & strategy: define and communicate a clear AI product vision aligned with business goals, market trends, and ethical standards. Roadmap & execution: create and manage an AI-focused product roadmap with milestones, KPIs, and data-driven priorities. Cross-functional leadership: coordinate AI/ML engineers, data scientists, devs, UX/UI, marketing, sales, and account teams to ensure integrated delivery. Market insight: conduct market research and competitive analysis to identify opportunities, risks, and emerging technologies. Stakeholder & partner management: build strong relationships with internal stakeholders and external partners (research labs, vendors). Team leadership & development: mentor product team members, promote interdisciplinary knowledge sharing, and foster an innovative, user-first culture. Ethical AI & privacy: champion user-centric design while ensuring compliance with ethical guidelines, data privacy, and regulatory requirements. Launch & go-to-market: lead product launches and GTM plans in coordination with marketing, sales, and support. Performance & iteration: track metrics and user feedback, apply analytics to iterate and optimize product performance. Budget & resource management: allocate budgets and resources to balance practical delivery with innovation. What you need in order to succeed Experience • Minimum of 3-5 years of experience as a Product Owner or Product Manager. • Proven track record of successfully managing technically challenging products preferably with AI functionality. • Strong understanding of product lifecycle management and stakeholder management. • Experience working with cross-functional teams (UI/UX, software engineers, QA) Skills/Abilities • Strong communication both written and spoken (English fluency required). • A problem-solver with an innovative and analytical mind. • Strong prioritization skills. • Deeply knowledgeable of agile and scrum methodologies, and product management tools (e.g., Jira, Confluence). • Ability to create, maintain and prioritize backlogs, write comprehensive user stories and plan efficient sprints. Education • Degree in Business, Marketing, Computer Science, or a related field Technical Skills • Familiarity with agile methodologies and product management tools. • Basic understanding of AI technologies, data pipelines, and machine learning principles. • Experience with UX design, user research, and testing. • Knowledge of analytical tools such as Power BI/Data Studio, GA, or Amplitude is beneficial.