Job Title

Modlix is an AI-powered marketing operating system for SMBs, offering an all-in-one platform that integrates website creation, digital marketing, CRM, post-sales management, and analytics. We empower businesses to scale their digital presence under one unified system.We are hiring a Product Manager with strong CRM/SaaS experience, solid understanding of APIs & integrations, and a growing interest in AI-driven automation. You will own the CRM roadmap, drive technical product decisions, and partner with engineering/design to ship a simple, scalable CRM experience.Key ResponsibilitiesProduct Strategy & Discovery- Own the CRM vision, roadmap, and MVP scope. - Identify workflow gaps, user pain points, and integration needs. - Define user personas: sales teams, managers, admins. - Translate business workflows into clear, structured product requirements.CRM Core Feature Execution- Prioritize and own modules like Leads, Deals, Pipelines, Activities, and Configurations. - Define user stories, acceptance criteria, and configuration-driven workflows. - Drive UX for sales workflows, automation, and customizations.AI & Automation Opportunities- Identify practical AI use cases (lead scoring, recommendations, enrichment, deduplication). - Work with engineering/data teams to scope AI MVPs. - Ensure AI features are simple, explainable, and value-driven.Metrics & Validation- Define adoption, usage, reliability, and integration health metrics. - Track workflow efficiency and automation impact. - Make data-informed decisions for iteration and roadmap planning.Required Experience- 4+ years of Product Management experience in SaaS. - Hands-on experience with CRM or workflow-driven systems. - Strong understanding of APIs, integrations, and backend systems. - Ability to work closely with engineering on technical decisions. - Experience defining and launching MVPs end-to-end. - Strong analytical mindset and structured problem-solving. - Interest in AI-driven CRM enhancements.Must Have- Experience with CRM, ERP, or internal business platforms. - Exposure to AI/ML features in SaaS products. - Startup/early-stage product experience.