AI Product Manager
Intersoft Systems
Job Categories: Technology Job Types: Full Time Job Locations: Houston, TX About the Role We are seeking an experienced and strategic AI Product Manager to lead the vision, strategy, and execution of innovative AI-powered SaaS products. The ideal candidate will have extensive experience building and scaling enterprise software, leading cross-functional teams, and driving measurable business outcomes across B2B and B2C platforms. As a Staff Product Manager, you will partner closely with Engineering, Design, Data Science, Sales, Marketing, and Executive Leadership to define product strategy, deliver customer-centric solutions, and accelerate business growth. Key Responsibilities Define and execute long-term product vision, roadmap, and strategy aligned with business objectives. Lead end-to-end product lifecycle from ideation, discovery, planning, development, launch, and continuous optimization. Drive AI and Generative AI initiatives including LLM-based applications, RAG architectures, intelligent assistants, and automation solutions. Conduct customer research, market analysis, and competitive assessments to identify growth opportunities. Translate customer needs into detailed Product Requirement Documents (PRDs), user stories, and product specifications. Collaborate with Engineering and Design teams to deliver scalable, secure, and high-performing SaaS products. Define success metrics, KPIs, and experimentation strategies using A/B testing and analytics. Partner with Go-to-Market teams to develop pricing, packaging, positioning, and launch strategies. Influence executive stakeholders through data-driven product recommendations and strategic planning. Mentor Product Managers and promote best practices across product management processes. Drive cross-functional alignment while balancing customer needs, technical feasibility, and business priorities. Required Qualifications Bachelor's degree in Computer Science, Engineering, Business, or a related technical field. Master's degree preferred. 12+ years of Product Management experience with enterprise SaaS platforms. Proven experience managing products from concept (0-to-1) through large-scale adoption. Strong experience with AI/ML products, Generative AI, LLMs, Agentic AI, and Retrieval-Augmented Generation (RAG). Experience building products for B2B, B2C, or enterprise customers. Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud. Experience working with Agile/Scrum methodologies. Excellent communication, stakeholder management, and leadership skills. Strong analytical mindset with experience using product analytics and experimentation frameworks. Preferred Qualifications Experience in Security, Healthcare, FinTech, or Enterprise Software domains. Experience leading pricing strategy and monetization initiatives. Familiarity with AI governance, responsible AI practices, and model evaluation. Hands-on understanding of APIs, microservices, cloud infrastructure, and modern software architecture. Experience working with executive leadership in high-growth technology organizations. Technical Skills Product Strategy & Roadmapping AI/ML & Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI Frameworks LangChain, LlamaIndex, Vector Databases SaaS Product Development Product Analytics & A/B Testing SQL, REST APIs AWS, Azure, Google Cloud JIRA, Confluence, Figma, Miro Tableau, Power BI, Google Analytics Business Skills Product Vision & Execution Customer Discovery Market Research & Competitive Analysis Go-to-Market Strategy Pricing & Packaging Stakeholder Management Executive Communication Data-Driven Decision Making Cross-functional Leadership Product Lifecycle Management What You’ll Bring Exceptional strategic thinking with strong execution capabilities. Passion for building innovative customer-centric products. Ability to simplify complex technical challenges into scalable product solutions. Strong leadership and mentoring capabilities. Proven ability to influence without direct authority across cross-functional teams. Why Join Us? Work on cutting-edge AI and cloud technologies. Lead products that impact millions of users globally. Collaborate with world-class engineering and product teams. Competitive compensation, comprehensive benefits, and opportunities for career growth. #J-18808-Ljbffr
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