腾讯云-TBDS大数据产品商业化负责人
Core
Lead commercialization and product strategy for TBDS/WeData big data and AI platforms, driving revenue and product roadmap for enterprise clients.
Role type
Senior Product Manager (Commercialization & Strategy)
Builds
Data lakehouse, real-time computing, data development, data governance, and AI for Data products (NL2SQL, Agents, Vector DBs, RAG)
Domain
Big Data, Data Platforms, AI/LLM, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Product roadmap planning, Go-to-Market strategy, Pricing & packaging, B2B sales enablement, RFP/POC management, PRD creation, Cross-functional collaboration, Data-driven iteration
Preferred skills
Experience with financial/energy/government sectors, Deep knowledge of Hadoop ecosystem (Spark/Flink), Lakehouse technologies (Iceberg/Hudi), OLAP engines (StarRocks/Doris), LLM applications, RAG, Agent frameworks, MLOps/LLMOps
Technologies
HDFS, Hive, Spark, Flink, Iceberg, Hudi, Delta, Paimon, StarRocks, Doris, ClickHouse, Kafka, LLM, Vector Database, RAG
Responsibilities
Design commercialization strategies (pricing, packages, delivery models), Build GTM systems including competitor analysis and channel partnerships, Lead product planning for core modules and AI integration, Collaborate with R&D to manage version cycles and SLA, Analyze product metrics to drive iteration
Seniority
Senior, hands-on IC