Jeeva.ai - Product Manager - Roadmap & Strategy
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Jeeva.ai - Product Manager - Roadmap & Strategy
Jeeva.aiPune
30+ days ago
Job description
Key Responsibilities :
Product Strategy : Drive the end-to-end product strategy and lead the development of core features that automate sales workflows, enhance CRM integrations, and deliver AI-driven insights.
Customer-Centric Development : Translate customer pain points into clear product requirements by conducting user research, interviews, and analyzing behavioral data.
Roadmap Management : Define, prioritize, and maintain the product roadmap in alignment with company strategy and feedback from sales and marketing teams.
Cross-functional Collaboration : Collaborate closely with engineering, data science, design, and go-to-market teams to ensure the successful delivery of features.
Product Lifecycle Ownership : Own the full product lifecycle, including ideation, discovery, development, go-to-market launches, and post-launch iteration and performance tracking.
Go-to-Market & Adoption : Partner with sales and customer success teams to gather feedback, support onboarding, and improve feature adoption.
Performance & Analytics : Track key performance indicators (KPIs) such as feature usage, user retention, and time-to-close improvements to measure product impact.
Required Technical Skills & Qualifications :
Experience : 5+ years of product management experience, ideally in a B2B SaaS environment.
Sales Tools : Familiarity with sales tools, including CRMs like Salesforce / HubSpot and sales engagement platforms.
Technical Acumen :
A data-driven mindset with the ability to use analytics platforms and basic SQL to understand user behavior and guide decisions.
Hands-on experience collaborating with engineering and data science teams.
Communication & Collaboration : Strong communication skills to articulate product vision, write detailed specs, and align stakeholders.
Agile Methodology : Experience working in an Agile / Scrum environment.
Bonus Points :
Experience in a startup environment.
Experience working with Large Language Models (LLMs) or generative AI.
A technical background in Computer Science, engineering, or data science