Required:
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.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.