Senior AI Product Manager (Data Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Product Manager (Data Platform): Owning the data and context layer for a unified agentic platform with an accent on ontology design, retrieval precision, and data governance. Focus on architecting reliable ingestion pipelines and building a data flywheel to optimize AI agent performance.
Location: Must be based in or able to commute to the South Charlotte, NC office (hybrid: Tuesday-Thursday onsite). This role is not open to visa sponsorship.
Compensation: $155,000–$220,000 + Potential Equity
Company
is a portfolio of industry-leading brands and businesses leveraging proprietary technology to improve the consumer decision-making journey.
What you will do
- Own the ontology, retrieval, and entity-resolution layer to ensure AI agents operate with accurate business context.
- Architect reliable data ingestion pipelines, connectors, and data contracts ensuring compliance with SOC2, PII, and GLBA standards.
- Implement a data flywheel by using agent corrections and human overrides to demonstrably improve retrieval performance.
- Collaborate with the Red Platform engineering team to integrate data and contract surfaces.
- Mentor junior AI Product Managers and lead high-visibility strategic initiatives for senior stakeholders.
Requirements
- 6+ years of experience as a data-product or ML-product PM with a track record of shipping RAG, search, or knowledge-graph products at scale.
- Fluent in ontology design and retrieval evaluation metrics such as precision, recall, and MRR.
- Deep understanding of data ingestion, schemas, lineage, and data quality management.
- Strong governance literacy regarding HITL gating, identity propagation, and partner-data isolation.
- Must be authorized to work in the US without sponsorship.
- Must be able to work a hybrid schedule in the South Charlotte, NC office.
Nice to have
- Background in semantic search, knowledge graphs, or vector databases.
- Experience building labeled-data feedback flywheels.
- Domain expertise in financial services data handling (PII, GLBA).
- Prior experience as a software engineer, data scientist, or data engineer.
Culture & Benefits
- Comprehensive health insurance (medical, dental, vision).
- 401(k) retirement plan with company match.
- Paid time off and holiday pay.
- Short and long-term disability insurance.
- Paid parental bonding benefit program.
- Employee assistance program.
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