Senior Director of Product Management – Development

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

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.

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.