Product Manager (HR Tech)

Salary: upto 65M

Location: Hybrid, Binh Thanh

JOB RESPONSIBILITIES

1. Product Strategy & Ownership

• Own product problems from discovery through delivery and adoption, ensuring solutions create meaningful value for customers and the business.
• Prioritize product initiatives based on customer value, product strategy, business impact, effort, dependencies, and risks.
• Collaborate with the Co-founder and relevant stakeholders to define product priorities, scope, and delivery plans.

2. Product Discovery & Customer Insights

• Understand customer and business problems through customer interviews, feedback, product data, and market insights.
• Work directly with enterprise customers and internal stakeholders to identify pain points, validate problems, and uncover opportunities for product improvement.
• Identify patterns behind customer requests and solve underlying problems instead of simply building requested features.

3. Requirements & Solution Definition

• Translate complex business requirements into clear, practical, and scalable product solutions.
• Define product requirements, user flows, business rules, acceptance criteria, edge cases, and functional specifications.

4. Product Delivery & Cross-functional Execution

• Work closely with Product Design and Engineering teams throughout the software development lifecycle to ensure product requirements are clearly understood and properly delivered.
• Drive features through development, QA, UAT, release, and production rollout to ensure smooth product delivery.

5. Product Validation & Impact Measurement

• Validate delivered solutions with customers and stakeholders to ensure they solve the intended business problems.
• Monitor product usage, customer feedback, and business outcomes to measure whether shipped solutions are delivering the expected value.

6. Domain Scope & Enterprise Capabilities

• Work across product areas including Skills & Competency Intelligence, Talent Profiles, Internal Mobility, Talent & Opportunity Matching, Workforce Planning, Organizational Structures, Roles & Permissions, Enterprise Workflows, Integrations, and AI-assisted talent decisions.

7. AI & Data Intelligence Integration

• Identify opportunities where AI, search, data intelligence, or traditional product logic can be used to improve user experience, automate repetitive workflows, and support better talent decisions.
• Collaborate with Engineering and relevant stakeholders to identify and prioritize AI use cases, ensuring AI is applied where it creates real customer and business value.

JOB REQUIREMENTS

<Must-have>

• Bachelor's degree or higher in Computer Science, Software Engineering, Business Administration, or a relevant field.
• 5+ years of Product Manager, Product Owner, or equivalent experience.
• Experience building B2B SaaS or enterprise software.
• Strong product discovery and customer interview skills.
• Ability to turn ambiguous problems into clear, actionable product specifications.
• Strong analytical and structured problem-solving skills.
• Ability to understand complex workflows and make them simpler.
• Experience working closely with software engineering teams.
• Comfortable making prioritisation and product trade-off decisions.
• Strong ownership from problem discovery through delivery and adoption.
• Professional English communication.

<Nice to have>

• Experience in HRTech, HRIS, HCM, ATS, Talent Management, Performance Management, or related B2B products.
• Experience working with enterprise SaaS products and complex organizational workflows.
• Experience building AI/LLM-powered products or AI-assisted product features.
• Experience with search, recommendation, matching, or talent intelligence systems.
• Experience working with Japanese customers or enterprise stakeholders.
• Japanese language ability is a plus but not required.
• Familiarity with GitHub, Jira/Linear, Notion, and Figma.
• Experience working in cross-cultural teams, especially Japan–Vietnam teams.

By submitting your application (CV), you confirm that you have read, understood, and agreed to allow freeC to collect, store, and process your personal data (including sensitive data contained in your CV, if any) for recruitment purposes.