Technical Product Manager || Tampa, FL
Savi Technologies LLC
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Role: Technical Product Manager
Location: Tampa, FL
The Technical Product Manager will lead the planning, development, and delivery of technical products and solutions that align with business strategy and customer needs. The ideal candidate will work closely with technical leads and internal teams to define end-to-end system architectures and ensure compliance with established standards and frameworks. This role involves managing complex technical initiatives while maintaining alignment with architectural, engineering, and compliance requirements.
Key Responsibilities
Technical Architecture & Design:
• Work with Engineering Teams: Product Manager will closely work with developers, data scientists, and AI engineers to ensure technical alignment and the feasibility of product features.
• Collaborate with UX/UI Teams: Ensure the design and user experience are optimal for clients and end-users of AI agents.
• Collaborate with technical leads to achieve architectural alignment and ensure Compliance with company and industry standards.
• Data Strategy: Define strategies for gathering, cleaning, and managing the data needed to train and improve AI models.
• AI Model Optimization: Work with AI researchers and engineers to ensure the continuous improvement and tuning of the models that power the agents.
• Monitor AI Performance: Track the effectiveness of AI agents, using data and feedback to optimize their behavior, accuracy, and client value • Provide Technical Expertise: Serve as a bridge between technical teams and clients, explaining AI capabilities and constraints clearly and translating client needs into technical specifications.
• Client Training and Onboarding: Ensure clients understand how to deploy, use, and optimize AI agents.
• Post-Launch Support: Monitor and manage ongoing support and feature updates after product release, ensuring continuous improvement and client satisfaction.
• Ensure Compliance: Ensure that the build/ delivery approach demonstrably incorporates adherence to PwC InfoSec Policies & Standards. Additionally, also ensure compliance with any applicable industry regulations and legal standards, particularly around data privacy.
• Promote Ethical AI: Ensure that the AI agents are designed and implemented ethically, minimizing bias and ensuring fairness in decision-making.
Role Descriptions: Technical Product Manager with AI skillsJob OverviewThe Technical Product Manager will lead the planning| development| and delivery of technical products and solutions that align with business strategy and customer needs. The ideal candidate will work closely with technical leads and internal teams to define end-to-end system architectures and ensure compliance with established standards and frameworks. This role involves managing complex technical initiatives while maintaining alignment with architectural| engineering| and compliance requirements.Key ResponsibilitiesTechnical Architecture Design.Work with Engineering Teams Product Manager will closely work with developers| data scientists| and AI engineers to ensure technical alignment and the feasibility of product features.Collaborate with UXUI Teams Ensure the design and user experience are optimalfor clients and end-users of AI agents.Collaborate with technical leads to achieve architectural alignment and ensureCompliance with company and industry standards.Data Strategy Define strategies for gathering| cleaning| and managing the dataneeded to train and improve AI models.AI Model Optimization Work with AI researchers and engineers to ensure thecontinuous improvement and tuning of the models that power the agents.Monitor AI Performance Track the effectiveness of AI agents| using data andfeedback to optimize their behavior| accuracy| and client valueProvide Technical Expertise Serve as a bridge between technical teams and clients|explaining AI capabilities and constraints clearly and translating client needs intotechnical specifications.Client Training and Onboarding Ensure clients understand how to deploy| use| andoptimize AI agents.Post-Launch Support Monitor and manage ongoing support and feature updatesafter product release| ensuring continuous improvement and client satisfaction.Ensure Compliance Ensure that the build delivery approach demonstrably incorporates adherence to PwC InfoSec Policies Standards. Additionally| also ensure compliance with any applicable industry regulations and legal standards| particularly around data privacy.Promote Ethical AI Ensure that the AI agents are designed and implemented ethically| minimizing bias and ensuring fairness in decision-making.
Essential Skills: Technical Product Manager with AI skillsJob OverviewThe Technical Product Manager will lead the planning| development| and delivery of technical products and solutions that align with business strategy and customer needs. The ideal candidate will work closely with technical leads and internal teams to define end-to-end system architectures and ensure compliance with established standards and frameworks. This role involves managing complex technical initiatives while maintaining alignment with architectural| engineering| and compliance requirements.Key ResponsibilitiesTechnical Architecture Design.Work with Engineering Teams Product Manager will closely work with developers| data scientists| and AI engineers to ensure technical alignment and the feasibility of product features.Collaborate with UXUI Teams Ensure the design and user experience are optimalfor clients and end-users of AI agents.Collaborate with technical leads to achieve architectural alignment and ensureCompliance with company and industry standards.Data Strategy Define strategies for gathering| cleaning| and managing the dataneeded to train and improve AI models.AI Model Optimization Work with AI researchers and engineers to ensure thecontinuous improvement and tuning of the models that power the agents.Monitor AI Performance Track the effectiveness of AI agents| using data andfeedback to optimize their behavior| accuracy| and client valueProvide Technical Expertise Serve as a bridge between technical teams and clients|explaining AI capabilities and constraints clearly and translating client needs intotechnical specifications.Client Training and Onboar
