Lead product management for Gogolook’s Anti‑Scam Common Services, defining roadmap, APIs, and developer experience for internal and external customers.
Responsibilities
Define and manage the Anti‑Scam Common Services roadmap spanning data ingestion, reputation services, shared reporting, and AI‑ready interfaces.
Translate business needs into measurable product priorities and balance reusable shared‑service investments against one‑off requests.
Treat internal product managers, business developers, and engineers as first customers and improve self‑service adoption.
Lead product development for source registration, data import, metadata, ingestion contracts and monitoring.
Own product priorities for shared risk services covering phone numbers, URLs, content, and report handling.
Requirements
Bachelor's degree or equivalent in Computer Science, Engineering, or related field
Nice to have: Experience building or managing internal developer platforms
Nice to have: Experience with shared services used by multiple teams
Nice to have: Experience with anti‑scam, trust and safety, cybersecurity, fraud prevention, identity, risk intelligence, or reputation services
Nice to have: Experience with enterprise customers, government agencies, or telecom operators
The Bluesight Customer Data Engineer owns data integration with our customers, ensuring they get value from Bluesight's platform quickly and seamlessly. The role involves technical pre-sales, data discovery, and implementation support.
Data Product Manager responsible for the data platform, backend data architecture, and foundational data capabilities powering analytics and intelligence solutions in a fast‑paced SaaS environment.
Responsibilities
Own the product strategy, roadmap, and delivery of foundational data platform capabilities supporting Analytics, Reporting, and AI/ML solutions.
Define requirements for backend data structures, data models, pipelines, and data services to enable scalable, consistent, and performant analytics.
Partner closely with Engineering, Data Science, Analytics, and Product teams to translate business needs into well‑defined data product requirements.
Drive data standardization, quality, governance, accessibility, and reusability across product lines.
Define clear success metrics for data reliability, performance, scalability, cost efficiency, and business value.
Requirements
Nice to have: retail pricing promotions merchandising data domain experience
AI Product Lead (Anti-Scam Common Services)NewGogolook · Taipei, Taiwan
Customer Data Engineer - Pre-SalesBluesight · Remote, US
Senior Product Manager - Data Platform & AnalyticsBlackbuck Insights · Phoenix, US