AI Product Manager

As an AI Product Manager at Zime AI, you will play a crucial role in shaping the product strategy and execution for our AI-powered sales intelligence platform. Your responsibilities will include: - Defining and owning the product strategy and roadmap for AI-powered sales intelligence features. - Conducting customer research, interviews, and analyzing usage data to identify problems and opportunities. - Translating customer insights into detailed product requirements, user stories, and acceptance criteria. - Working closely with AI engineers to design LLM-powered features that address real customer issues. - Making prioritization decisions based on business impact, technical feasibility, and customer value. - Collaborating with sales and customer success teams to gather insights and validate product decisions. - Owning end-to-end product execution from ideation through launch and iteration. On a day-to-day basis, you will: - Write detailed product specs and requirements for AI features. - Review and test AI system outputs such as prompts, LLM responses, and insights quality. - Conduct customer calls and analyze feedback to drive product decisions. - Prioritize the backlog and make tradeoff decisions. - Track product metrics, engagement data, and AI performance indicators. - Participate in daily standups and sprint planning with engineering teams. - Present product updates and strategy to leadership. - Validate prototypes and iterate based on user testing. Qualifications required for this role include: - 4-5 years of product management experience with at least 1 year on AI/ML products. - Strong understanding of LLMs, prompt engineering, RAG systems, and GenAI capabilities and limitations. - Proven track record of shipping successful B2B SaaS products or scaling existing products. - Experience writing detailed product specifications and technical requirements. - Deep customer empathy with hands-on user research experience. - Strong analytical skills and comfort making data-driven decisions. - Excellent communication and stakeholder management abilities. - Technical proficiency to collaborate effectively with AI engineers. - Ability to make prioritization decisions and say no when needed. Additionally, it would be good to have: - Background in sales tech, CRM, revenue operations, or B2B sales workflows. - Technical degree or previous hands-on engineering experience. - Experience with RAG architectures, vector databases, or LLM orchestration frameworks. - Understanding of sales processes, deal cycles, and B2B buying journeys. - Familiarity with AI evaluation frameworks, prompt optimization, and quality metrics. - Experience with product analytics tools. - Prior startup or high-growth environment experience. - Public writing, talks, or thought leadership on AI product development. Success in this role will be reflected in: - Shipped AI features driving measurable customer value and business impact. - Strong product-market fit signals. - Clear, well-executed product roadmap aligned with company strategy. - High-quality product specifications accelerating engineering velocity. - Strong cross-functional alignment and stakeholder trust. - Data-driven decision-making with clear metrics and success criteria. - Deep customer understanding influencing product decisions. Joining Zime AI will offer you: - Direct work with founders on product strategy and company direction. - Shaping the product vision for an AI-native sales intelligence platform. - High ownership and autonomy impacting company growth. - Early-stage opportunity to define product culture and processes. - Exposure to cutting-edge AI technologies at scale. - Competitive compensation and equity. - A focused, ambitious team in Bangalore. Experience Level required: 4-5 years. As an AI Product Manager at Zime AI, you will play a crucial role in shaping the product strategy and execution for our AI-powered sales intelligence platform. Your responsibilities will include: - Defining and owning the product strategy and roadmap for AI-powered sales intelligence features. - Conducting customer research, interviews, and analyzing usage data to identify problems and opportunities. - Translating customer insights into detailed product requirements, user stories, and acceptance criteria. - Working closely with AI engineers to design LLM-powered features that address real customer issues. - Making prioritization decisions based on business impact, technical feasibility, and customer value. - Collaborating with sales and customer success teams to gather insights and validate product decisions. - Owning end-to-end product execution from ideation through launch and iteration. On a day-to-day basis, you will: - Write detailed product specs and requirements for AI features. - Review and test AI system outputs such as prompts, LLM responses, and insights quality. - Conduct customer calls and analyze feedback to drive product decisions. - Prioritize the backlog and m