Product Manager

JOB DESCRIPTION

The Product Lead/Manager will serve as the main contact point for day-to-day project management and execution of VUS new digital product development.
Be the main contact point of the product team and key stakeholders (internal & external) to ensure the actionable information and requirement flow is well planned and aligned.
Directly supervise, train and mentor other Product Owners for their personal and professional development.
Closely coordinate with cross-functional teams to provide the best and up-to-date and synchronized solution, ensuring product deliverables quality and all deadlines are met throughout
the whole project life cycle.
Direct report: Senior Product Development Manager

JOB REQUIREMENT

At least 5 years of experience in product management and digital/mobile product development on the client side (in-house product).
Demonstrated solid experience in leading complex projects to successfully ship digital products on time and to perfection (Digital product/features for end-users/consumers are highly preferred).
Solid and hands-on experience in agile methodologies & other product development methodologies and strategic frameworks.
Strong experience in product backlogs, PRD (product requirement docs) management and highly capable of prioritization to maintain a good balance between business value and technical complexity for the product development cycle.
Bachelor's degree in Business Administration, Management Information Systems or Project
Management related fields.
Exceptional communication, presentation, and problem-solving skills
Outstanding organizational, planning and time management skills
Good command of English, both written and spoken
PMP and Scrum Master certificates are highly preferred.
Apositive product person aspiring for a dynamic and challenging working environment
Highly adaptable, confident, self-motivated, result-oriented and reliable team-player

WHAT'S ON OFFER

Annual leave: 12 days, plus 1 day with 3 years seniority
Social insurance, PIT: our Client will cover - 100% NET salary
Lunch allowance: ~700k VND/month
Accommodation allowance: 5% net salary/month (pay in the end of each year)
Phone allowance: phone card 500K/month
Year-end bonus: according to personal performance and company performance
Annual health check
Bao Viet health insurance: 3 slots ( employee and 2 dependents)
English class scholarship at our Client 100%: 2 slots ( employee and dependent)
People engagement/ team building activities

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

EdTech, Education

Technical Skills:

Product Management

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiate

Job ID:

J01226

Status:

Close

Related Job:

Senior Deep Learning Engineer - AI for Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam

Computer Hardware

  • Machine Learning

Design and prototype deep learning models for wireless signal processing tasks such as channel estimation, beam alignment, link adaptation, and scheduling. Work with simulation tools and real-world datasets to build models that generalize across diverse wireless scenarios. Implement, train, and validate neural networks (e.g., CNNs, Transformers, GNNs) using PyTorch or TensorFlow. Collaborate with researchers and system engineers to integrate models into fullstack RAN. Optimize model performance for real-time inference and hardware acceleration. Contribute to model evaluation, benchmarking, and deployment readiness on GPU platforms.

Negotiation

View details

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam

Computer Hardware

  • Machine Learning
  • Management

Lead and grow a high-impact engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Guide the development of deep learning models for tasks such as channel estimation, beamforming, link adaptation, and CSI compression. Collaborate with global teams across architecture, research, and systems to drive proof-of-concepts and production-quality AI-RAN components. Oversee integration of AI models into full-stack simulations and/or testbeds using frameworks such as PyTorch, TensorFlow, and Sionna. Align project priorities with hardware-software co-design constraints and deployment scenarios on Our Client's platforms. Mentor team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam

Computer Hardware

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • AI

Build, lead and scale world-class engineering teams in Vietnam, collaborating with global counterparts across system software, data science, and AI platforms. Drive the design, architecture, and delivery of high-performance system software platforms that power Our Client's AI products and services. Partner with global teams across Machine Learning, Inference Services, and Hardware/Software integration to ensure performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship Our Client's services. Engage with open-source and enterprise data and workflow ecosystems (e.g., Temporal, Gitlab DevOps Platform, RAPIDS, NeMo Curator, Morpheus) to advance accelerated AI factory, data science and data engineering workloads. Champion continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Collaborate with product management and cross-functional stakeholders to ensure enterprise readiness and customer impact. Develop and deploy standard processes for large-scale, distributed system testing, encompassing stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details