Key skills
Technical Product ManagementProduct StrategyAgile DevelopmentAI/ML-powered FeaturesLarge Language ModelsPrompt EngineeringRetrieval-Augmented GenerationAI Integration PatternsEnterprise SaaSCross-Functional Stakeholder ManagementAIMLGenerative AILLMRAGSaaSAgileStakeholder ManagementProduct ManagementCommunicationCollaboration
About this role
Insperity is a leading provider of critical communications and emergency notification technology. As a Technical Product Manager, you will own the strategy and execution for key areas of the enterprise SaaS platform, driving AI-powered innovation and collaborating closely with engineering and design teams to deliver impactful solutions.
Responsibilities:
- Own end-to-end product strategy, roadmap planning, and execution for enterprise SaaS and critical communications features, ensuring alignment with business goals and life-safety requirements
- Lead AI and ML product initiatives, including generative AI, LLM integration, RAG architectures, and responsible AI deployment
- Drive agile product development, including backlog prioritization, sprint planning, user stories, acceptance criteria, and close collaboration with engineering teams
- Conduct customer discovery, win/loss analysis, and market research to inform product requirements, feature prioritization, and customer experience improvements
- Define and monitor product KPIs, using data and insights to guide roadmap decisions and continuous optimization
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent combination of education and hands-on product/engineering experience in SaaS or enterprise software
- 5+ years of experience in Technical Product Management, Product Management, or software engineering with demonstrated ownership of product strategy and delivery in agile environments
- Proven experience shipping AI/ML-powered features in production, with strong knowledge of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and AI integration patterns (including MCP-style tool connectivity)
- Solid analytical, communication, and prioritization skills with experience in enterprise SaaS, cross-functional stakeholder management, and occasional travel (<10%) for customer engagement, conferences, or headquarters collaboration (English proficiency required)