Technical Product Manager (AI)

Prophecy Technologies

$100K — $130K *
Tampa, FL 33647In-Person
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience as a Technical Product Manager focused on AI-driven initiatives.
  • Deep knowledge of system architecture and engineering standards.
  • Hands-on experience with AI/ML models and data analytics products.
  • Strong collaboration skills with engineering, data science, and UX/UI teams.
  • Proficient in translating client needs into technical specifications.
  • Familiarity with data privacy and compliance standards.
  • Excellent communication and stakeholder management abilities.

Responsibilities

  • Lead planning and delivery of technical products and AI-driven solutions.
  • Collaborate with engineering and UX/UI teams to ensure product feasibility and design quality.
  • Define data strategies for training and improving AI models.
  • Monitor AI agent performance using data insights for continuous enhancement.
  • Act as a liaison translating client needs into technical features for teams.
  • Support client onboarding and training for effective AI deployment.
  • Ensure all practices meet compliance and ethical AI standards.

Benefits

  • Engagement with cutting-edge AI technologies.
  • Opportunity to work cross-functionally in a dynamic team environment.
  • Focus on fostering ethical AI practices and compliance with standards.
  • Access to continuous learning and career development opportunities.
Full Job Description
Job Summary

The Technical Product Manager will lead the planning, development, and delivery of technical products and AI-driven solutions that align with business strategy and customer needs. This role partners closely with engineering, data science, AI, UX/UI, and compliance teams to define end-to-end system architectures, ensure feasibility of product features, and maintain adherence to architectural standards, security policies, and regulatory requirements.

Key Responsibilities

Technical Architecture & Design
  • Work closely with engineering teams, including developers, data scientists, and AI engineers, to ensure technical alignment and feasibility of product features.
  • Collaborate with UX/UI teams to ensure optimal design and user experience for AI agent users and clients.
  • Partner with technical leads to ensure architectural alignment and compliance with company and industry standards.

AI & Data Strategy
  • Define strategies for collecting, cleaning, and managing data required to train and improve AI models.
  • Collaborate with AI researchers and engineers to optimize and continuously improve AI models powering intelligent agents.
  • Monitor AI agent performance using data insights and feedback to improve accuracy, behavior, and business value.

Product & Client Enablement
  • Act as a bridge between technical teams and clients by translating business needs into technical specifications and explaining AI capabilities and constraints.
  • Support client onboarding and training to ensure effective deployment, adoption, and optimization of AI agents.
  • Manage post-launch support, enhancements, and feature updates to ensure continuous improvement and client satisfaction.

Governance, Compliance & Ethics
  • Ensure delivery approaches adhere to PwC InfoSec policies, standards, and applicable regulatory and legal requirements, especially data privacy.
  • Promote ethical AI practices, ensuring fairness, transparency, and minimized bias in AI-driven decision-making.

Required Skills & Experience
  • Proven experience as a Technical Product Manager handling complex technical and AI-driven initiatives.
  • Strong understanding of system architecture, engineering standards, and product lifecycle management.
  • Hands-on experience working with AI/ML models, data pipelines, and analytics-driven products.
  • Ability to collaborate effectively with engineering, AI, data science, and UX/UI teams.
  • Strong experience translating business and client needs into technical requirements.
  • Knowledge of data privacy, security, and compliance standards.
  • Excellent communication and stakeholder management skills.

Competencies
  • Product Management
  • Technical Architecture & Design
  • AI & Data Strategy
  • Cross-Functional Leadership
  • Compliance & Risk Management
  • Ethical AI Governance

Preferred Skills
  • Experience managing AI agent-based or intelligent automation products.
  • Familiarity with InfoSec frameworks and enterprise compliance standards.
  • Exposure to regulated industries and data privacy framewo

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