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You will be updated with latest job alerts via emailKey Responsibilities: Own and manage the end-to-end product lifecycle for AI-enabled features and digital-first solutions. Define and execute the product roadmap prioritizing features based on impact user feedback and analytics. Leverage analytical skills to assess user behavior adoption trends retention funnels and feature usage to guide product strategy. Continuously identify opportunities to improve product engagement and stickiness by introducing new features or refining existing ones. Work cross-functionally with engineering data science UX/UI marketing and sales to deliver product outcomes on time. Drive product development using Agile methodologies with a focus on MVP delivery iterative improvements and sprint-based execution. Translate complex AI/ML solutions into intuitive user experiences leveraging NLP LLMs and semantic search capabilities where appropriate. Create clear actionable product requirement documents (PRDs) user stories and acceptance criteria. Monitor key product metrics (e.g. adoption NPS retention) and conduct deep-dive data analyses to uncover insights that shape future feature development. Use tools like Mixpanel Amplitude Power BI or Looker to inform data-driven decisions and report on success metrics. Oversee project timelines stakeholder communications risk identification and alignment across teams. Required Skills and Qualifications: 6 years of experience in product management with exposure to AI-powered or enterprise SaaS products. Demonstrated success in increasing product adoption growing feature usage and enhancing user engagement. Strong analytical mindset; ability to derive insights from data and translate them into actionable product strategies. Experience using product analytics and visualization tools (e.g. Mixpanel GA Power BI Amplitude). Solid understanding of AI/ML fundamentals including LLMs NLP model integration and data privacy concerns. Strong project management skills; capable of driving complex initiatives from ideation to launch within set timelines. Familiarity with Agile Scrum or Kanban methodologies and tools like JIRA Confluence and Trello. Proven ability to lead cross-functional teams prioritize effectively and manage competing demands. Excellent written and verbal communication skills with the ability to influence stakeholders at all levels. Preferred Qualifications: Prior experience with LLM frameworks (e.g. LangChain Semantic Kernel) or AI platforms like HuggingFace Azure OpenAI Google Vertex AI. Experience with product-led growth strategies and user lifecycle design (onboarding activation retention). Technical background or hands-on experience with AI tools APIs or platforms. Exposure to RAG pipelines agentic workflows or vector-based search in an enterprise context.
Full-time