Tasks:
- * Communicate delivery progress and tradeoffs
- * Define data SLAs and quality thresholds
- * Define success metrics
- * Establish AI evaluation and benchmark testing
- * Establish delivery governance
- * Implement AI governance and controls
- * Lead cross-functional delivery
- * Manage product backlog
- * Manage program dependencies and risks
- * Modernize enterprise DataOps capabilities
- * Oversee RAG and agent workflows
- * Own product vision and roadmap
- * Productize agentic AI solutions
- * Translate business needs into requirements
- * Write PRDs and user stories
Perks/Benefits:
- + 401k retirement plan
- + Accident insurance
- + Critical illness insurance
- + Dental insurance
- + Hospital insurance
- + Life insurance
- + Medical insurance
- + Paid time off
- + Short-term Disability Insurance
- + Vision insurance
Skills/Tech stack required:
[Agent Orchestration] [Agile] [Airflow] [API Integration] [Autogen] [CI/CD] [CrewAI] [Data Ingestion] [Data Lineage] [Data Modeling] [Data Observability] [DataOps] [Data orchestration] [Data Quality] [Data Transformation] [DBT] [Embeddings] [Great Expectations] [Langgraph] [LLMOps] [Metadata Management] [MLOps] [Model Evaluation] [OpenLineage] [Product Management] [Product Operations] [Prompt engineering] [RAG] [Vector Databases] [Workflow graphs]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Product Manager] [Data Product Manager] [Manager] [Operations Manager] [Product Manager] [Product Operations] [Product Operations Manager]