Job Description: • Manage employees in the strategic planning, development, and success of multiple Cloud-native SaaS architecture and artificial intelligence/machine learning (AI/ML) products development for EverPro. • Implement product strategies for digital products within home services and healthcare domains, including market analysis, GTM planning & pricing modeling. • Develop and implement complex pricing strategies like usage-based, tiered, and AI-driven dynamic pricing. • Manage full product lifecycle, including new (0-1) SaaS products & brands initiative with MVP development for a $40M+ business. • Lead Product-led Growth (PLG) initiatives & strategies within home services and healthcare domains. • Collaborate with engineering to build and scale cloud-based, multi-tenant SaaS applications across AWS, Azure, and Google Cloud. • Guide API-first product development & integration with enterprise systems (CRM, ERP, FSM) using REST APIs and API integrator platforms. • Lead productization of AI/ML models, including NLP and predictive analytics. • Incorporate AI-driven workflow automation and personalization strategies into product development using large language models (LLMs). • Establish data-driven experimentation frameworks, A/B tests & competitive analysis. • Collaborate with business leaders to set up key performance indicators (KPIs) that support governance and use data insights obtained by using R/SQL/Python to help with analysis and product metrics. • Use key revenue metrics (ARR, CAC, LTV, churn) and track monetization efficiency. • Guide API and microservices governance & scalable SaaS architecture relying on software development best practices in Python, C# and SQL. • Implement technical governance models and Software product security and performance optimization.to ensure performance optimization and software product security. • Engage with enterprise clients, partners, and relevant regulatory organizations to align product development with industry standards and customer needs. • Define OKRs and KPIs to measure product success, technical excellence, and business impact. Requirements: • Master’s degree in Computer Science, Computer Engineering, Machine Learning, Data Science, or a closely related field. • Four (4) years of experience as a Product Manager. • Four (4) years of experience within a high growth SaaS environment. • Four (4) years of experience as a Software Engineer. • Demonstrable knowledge and prior experience in Cloud-native SaaS architecture and artificial intelligence/machine learning (AI/ML) product development. • Building and scaling cloud-based, multi-tenant SaaS applications across AWS, Azure, and Google Cloud. • API-first product development & integration with enterprise systems (CRM, ERP, FSM) using REST APIs and API integrator platforms. • Leading Product-led Growth (PLG) initiatives & strategies. • Leading productization of AI/ML models, including NLP and predictive analytics. • Developing and implementing complex pricing models including usage-based, tiered, and AI-driven dynamic pricing. • Software development best practices in Python, C#, and SQL. • Data insights obtained by using R/SQL/Python to help with analysis and product metrics. • Key revenue metrics (ARR, CAC, LTV, churn) and track monetization efficiency. • Domestic travel required up to 1 time per month and up to 3 days per trip. • Must have U.S. employment authorization. Do not apply if you are in F-1 or H-1 status or otherwise require employer sponsorship for U.S. employment authorization. Benefits: • Work from home benefit available Apply tot his job