Delivery Program Manager at TechX Corporation

Hanoi, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Program Management, Product Development, GenAI Initiatives, AI Product Ecosystem, Product Lifecycle, Product Roadmaps, Agile, Data Analytics, User Research, Scalability, Reliability, Leadership, Communication, Problem-Solving, Cloud Transformation, Data Modernization

Industry

IT Services and IT Consulting

Description

Company Overview: At TechX, we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on Cloud Transformation (AWS), Data Modernization, and Generative AI, we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients. We specialize in banking and financial services, retail, manufacturing, and transportation, delivering impactful solutions that address industry-specific challenges and significant market shifts. Together, we’ll build a future where innovation knows no limits. Job Overview: We seek a Program Manager with a strong product development background to lead GenAI initiatives and evolve our AI product ecosystem. You will shape the future of our AI products, working with engineering, product, and business teams to deliver innovative solutions. You'll oversee the product lifecycle, ensuring our AI products meet user needs and drive business value. Key Responsibilities: Product-Led Program Management: Translate needs into clear product specifications for GenAI projects. Collaborate on product roadmaps and prioritize features. Drive development, testing, and deployment of GenAI applications, aligning with product vision. Define and monitor product metrics (engagement, adoption, and satisfaction). AI Operations System as a Product: Treat the AI Operations system as an internal product, focusing on user experience. Gather user feedback and prioritize feature requests. Ensure the system is scalable and reliable. AI-Powered Assistant Product Ownership: Own the AI assistant product, driving its evolution. Conduct user research to identify new features. Collaborate to develop and refine the AI assistant's capabilities. Drive user adoption through training and documentation. AI Operation Leadership (Product Perspective): Lead teams, fostering a product-centric mindset. Champion data-driven decisions for product development. Improve AI operation processes for scalability and user satisfaction. Reporting and Analytics (Product Focus): Create dashboards to track product metrics. Share insights to inform product decisions. Use data analytics to evaluate feature usage and impact. Key Requirements: Minimum of 5 years of working experience in Project Management (both internal and external projects). Experience in data or AI related projects is a plus. Product Development Expertise: Product lifecycle knowledge, Agile experience, ability to translate needs into specifications. Technical Expertise: Understanding AI systems and data analytics. Program Management: Experience managing complex projects. Leadership and Collaboration: Strong leadership and communication skills. Problem-Solving: Ability to identify and solve bottlenecks. What We Offer: Innovative Environment: A dynamic and collaborative work environment where innovation is encouraged. Professional Growth: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies. Competitive Package: Competitive salary and benefits package Impactful Work: The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success. Apply now! Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!

Responsibilities

The Program Manager will lead GenAI initiatives by translating needs into product specifications, driving the development, testing, and deployment of AI applications, and monitoring key product metrics like engagement and adoption. A key focus is treating the AI Operations system and the AI assistant as internal products, owning their evolution based on user feedback and research.