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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on API and data-driven platforms, ensuring alignment between technical and non-technical teams. Proficient in defining product roadmaps, metrics, and improving developer experience while adhering to security and privacy standards.
Highest-signal resume keywords
Product Management ExperienceAPI Development and IntegrationData Pipeline ManagementStrong Analytical SkillsBilingual Proficiency in Mandarin and English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
API DevelopmentData PipelinesSQLData ContractsAuthenticationAuthorizationProduct Metrics DefinitionAI Applications KnowledgeIntegration ExperienceDeveloper Experience Improvement
Soft Skills
Excellent CommunicationStakeholder ManagementDocumentation SkillsAnalytical ThinkingBusiness Needs Translation
Tools & Technologies
AWSOAuthJWTBI DashboardsWorkflow OrchestrationData WarehousesMetadata ManagementUsage MeteringService AccountsIntegration Guidance
Industry Keywords
Anti-ScamTrust and SafetyCybersecurityFraud PreventionIdentity ManagementRisk IntelligenceReputation ServicesShared ServicesInternal Developer PlatformsData Governance
Tech Stack
Tools & technologiesAWSCyber SecuritySQL
About the role
Key responsibilities & impact- Define and manage the Anti-Scam Common Services product roadmap
- Translate business needs into measurable product priorities and balance shared-service investments against one-off requests
- Serve Gogolook product managers, business developers, and engineers as internal customers
- Lead self-service data ingestion capabilities including source registration, data import, metadata, ingestion contracts, and monitoring
- Own priorities for shared reputation services covering phone numbers, URLs, content, and report handling
- Define API and MCP tool capabilities, contracts, and integration experiences for AI-agent-facing services
- Enable AI agents to securely query and update data with predictable behavior and observable results
- Define evaluation criteria and regression checks for agent-facing tools
- Establish requirements for authentication, API keys, service accounts, and usage policies
- Coordinate with security, data, and legal teams on privacy, least-privilege access, auditability, and Responsible-AI review
- Improve developer experience through documentation, integration guidance, onboarding, discovery, and usage dashboards
- Establish service ownership and working agreements across business, data, research, and platform engineering teams
- Own backlog, planning, release priorities, and continuous improvement with engineering and QA
- Use adoption, integration lead time, reliability, operational cost, and stakeholder feedback to guide improvements
Requirements
What you’ll need- 5+ years of relevant product management or comparable product ownership experience
- Meaningful responsibility for a platform, API, data, or developer-facing product
- Experience serving internal teams, enterprise integrators, or technical users
- Proven ownership of product roadmaps and delivery across multiple stakeholders
- Strong understanding of platform product management, reusable capabilities, developer experience, integration friction, and adoption
- Technical fluency with APIs, data pipelines, data contracts, schemas, authentication, authorization, and system boundaries
- Working knowledge of AI applications and agent-based workflows
- Strong analytical skills, including SQL and relevant analytics tools
- Ability to define product metrics and make evidence-based decisions
- Excellent communication, documentation, and stakeholder-management skills
- Ability to translate business needs into product requirements and align technical and non-technical teams
- Full professional proficiency in Mandarin and English
- Experience using AI tools in day-to-day work and validating their outputs
- Preferred: experience with internal developer platforms, data platforms, API products, or shared services
- Preferred: hands-on experience with Model Context Protocol (MCP), tool calling, reusable agent skills, or workflow automation
- Preferred: AI evaluation, monitoring, drift, retraining, and versioning knowledge
- Preferred: data ingestion, metadata management, and data governance experience
- Preferred: familiarity with authentication, authorization, API keys, OAuth, JWT, service accounts, access policies, usage metering, AWS, object storage, data pipelines, workflow orchestration, data warehouses, and BI dashboards
- Preferred: experience in anti-scam, trust and safety, cybersecurity, fraud prevention, identity, risk intelligence, or reputation services
- Preferred: prior technical product management, software engineering, data engineering, or solutions engineering experience
Benefits
Comp & perks- Technical community activities encouraged
- Conference and workshop ticket subsidies
- Support for continuous learning and self-growth
- Transparent company information and participation in proposals
- Opportunity to work on influential products that create social value