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  • gurgaon, haryana
  • posted 30 october 2025
this job offer closes 29 december 2025

job details

this job offer closes 29 december 2025

summary

  • gurgaon, haryana
  • a client of randstad india
  • temporary
posted 30 october 2025
  • reference number
    JPC - 111101

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randstad professional

randstad professional

we bring diverse and pre qualified professional talent and businesses together to connect the right people with the right roles. by building specialized teams, we help individuals flourish in their careers and businesses succeed.

job details

Key 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.

experience

14 ...

Key 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.

experience

14