Senior Product Manager

ABOUT CLIENT

Our client is a cutting-edge technology company specializing in innovative solutions for automation. With a focus on efficiency and productivity, our client's products are designed to streamline processes and improve overall workflow. Their commitment to excellence and customer satisfaction sets them apart as a leader in the industry.

JOB DESCRIPTION

Responsible for delivery execution for multiple concurrent enterprise customer projects with tight deadlines
Convert customer conversations and requirements into detailed user stories, acceptance criteria, and engineering tasks
Manage product backlogs, sprint planning, and Agile delivery processes across multiple workstreams
Collaborate with the CEO and team to refine product direction based on customer feedback and market learning
Oversee the end-to-end roadmap process, ensuring a responsive and adaptable plan that prioritizes customer needs and aligns with the company's strategic direction
Act as a liaison between customer-facing teams and engineering to ensure clarity of requirements and alignment of deliverables
Provide hands-on support for high-stakes customer demonstrations, pilots, and proof-of-concepts
Take ownership of project reporting, delivery tracking, and transparency on progress and blockers
Establish product metrics and success criteria in collaboration with leadership
Coordinate across engineering teams to align delivery timelines and dependencies

JOB REQUIREMENT

Proven successful track record of delivering enterprise software products throughout full development cycles
Strong project management skills, with the ability to manage multiple concurrent projects, drive execution, and keep teams aligned on priorities
Proficiency in hands-on delivery, including writing detailed user stories, managing backlogs, running sprints, and understanding technical details
Technical proficiency to work effectively with engineering teams, comprehend technical constraints, and make informed trade-offs
Familiarity with enterprise B2B experience, including understanding enterprise customer requirements, procurement processes, and enterprise software development
Ability to translate customer conversations into concrete product requirements
Comfort in ambiguous situations, being energized by customer-driven product development where direction evolves based on learning
Collaborative approach, working well with strong technical teams and being open to input on product direction
Advanced English proficiency for effective communication with international teams and enterprise customers
Experience with AI/ML products or an understanding of AI capabilities and limitations
Background in AI agents, agentic workflows, or LLM applications
Familiarity with international enterprise markets and business culture
Previous experience at early-stage startups
Bachelor's degree required. Advanced degree (MBA, MS, or technical master's) preferred but not required. Demonstrated execution excellence is valued over formal credentials.

WHAT'S ON OFFER

Competitive compensation and benefits in line with impact.
Opportunities for international travel for training and work, gaining exposure to global projects and collaborations.
A culture that values skills and abilities, and provides the necessary tools and resources for career advancement.
A collaborative work environment that promotes teamwork, knowledge sharing, and innovation.
Flexible work hours.

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:

Product, AI Application Platform

Technical Skills:

Product Management

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01538

Status:

Active

Related Job:

Senior Signal Processing Engineer

Others - Viet Nam


Outsource

  • Python

Design and improve rPPG/TOI pipelines using RGB/IR video with motion/illumination compensation. Implement multi-stage preprocessing, denoising, and quality scoring. Examples: adaptive filtering, ICA/PCA variants, color-space transforms, skin ROI stabilization, signal confidence metrics. o Build cross-device normalization strategies and error-bounded estimators. Define biomarker-level acceptance criteria and failure modes for consumer-grade capture. Partner with iOS and ML teams to integrate algorithms into on-device or hybrid pipelines. Produce technical documentation suitable for regulatory-risk positioning and Apple review support. Benchmark report across device models, skin tones, lighting, and motion conditions. Biomarker feature specification sheet with recommended thresholds and confidence bands. A/B results showing improvements in stability, missingness, and downstream inference performance.

Negotiation

View details

Senior Mobile App Development Engineer

Others - Viet Nam


Outsource

  • iOS

Develop and enhance capture flows using TrueDepth, ARKit, AVFoundation, and CoreMotion. Convert algorithm requirements into reliable on-device data collection and frame synchronization. Create user-friendly quality control interface and capture-state instrumentation, including tasks such as lighting checks, face alignment, motion thresholds, occlusion detection, and retake prompts. Improve latency, thermal behavior, and battery usage for 10-second diagnostic-style capture. Ensure data privacy and compliance with privacy regulations in telemetry. Create technical documentation for the use of specific APIs and data handling for Apple's internal use. Build a modular capture SDK layer with feature flags and logging capabilities. Develop a cross-device performance matrix and tuning guide. Integrate deterministic quality control gates to minimize noisy biomarker outputs in the capture process.

Negotiation

View details

Senior Data Analyst, Anti-spoofing Operation

Ho Chi Minh - Viet Nam


Product

  • Data Analyst

Lead and develop analytical initiatives to address fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization. Spearhead strategic efforts to combat emerging fraud patterns and develop innovative detection approaches through data analysis, testing, and impact measurement. Design and implement production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning, and geospatial analysis. Conduct in-depth analyses of complex fraud operations and develop behavioral analytics systems. Translate technical findings into actionable recommendations for leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features. Provide technical guidance and mentorship, establish best practices, and contribute to hiring top talent in analytics.

Negotiation

View details