Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$136к-227к/год
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Чётко очерченная руководящая роль на стыке корпоративных данных и прикладного ИИ: в зоне ответственности стратегия, запуск продуктов и развитие команды.
Понятная зона ответственности
ИИ в продакшене
Финансовые технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
VP Product Management, Intelligent Data Layer (AI): Building reusable data products, semantic models, knowledge retrieval capabilities, and AI evaluation measures for enterprise AI applications with an accent on data quality, governance, retrieval relevance, and production use cases. Focus on leading product strategy and product managers, connecting source information to AI applications, and balancing business value, technical dependencies, reliability, adoption, latency, and operating cost.
Location: Hybrid in Fort Mill/Charlotte, New York, or Austin, United States
Salary: $135,960–$226,600 base salary per year
Company
hirify.global is a U.S. wealth management firm providing advisor affiliation models, investment solutions, fintech tools, and practice management services to financial advisors and institutions.
What you will do
Own the Intelligent Data Layer product strategy, roadmap, priorities, investment decisions, and full product lifecycle.
Lead reusable data products, semantic models, shared business definitions, knowledge assets, enterprise search, knowledge graphs, RAG, and GraphRAG capabilities.
Partner with engineering, data science, AI application, and business teams to deliver production-oriented use cases from source information through application consumption.
Define product quality and AI evaluation measures covering retrieval relevance, answer grounding, data accuracy, freshness, permissions, traceability, reliability, adoption, latency, and operating cost.
Establish governance and ownership models for shared definitions, semantic models, data products, and knowledge assets.
Hire, develop, and lead product managers while coordinating delivery commitments, cross-functional dependencies, and roadmap priorities.
Requirements
10+ years of relevant product management experience, including enterprise data products and production AI capabilities.
Experience leading product teams and delivering products across engineering, data science, and business organizations.
Experience taking data or retrieval products into production, supporting multiple consumers, and improving performance after launch.
Working knowledge of semantic modeling, knowledge graphs, retrieval-augmented generation (RAG), and AI evaluation methods.
Experience making product investment, build-versus-buy, and technical tradeoff decisions.
Nice to have
Ability to resolve competing business requirements and communicate product decisions to technical teams and senior leaders.
Financial services or other regulated-industry experience.
Culture & Benefits
Hybrid work arrangement.
Leadership culture focused on integrity, collaboration, client outcomes, team development, and meaningful business results.
401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
Employment is full time; principals only.
Hiring process
Log in or create an account to apply.
LPL communicates with applicants only from an @lplfinancial.com email address and will not conduct interviews online or in chatroom forums.
During interviews, LPL will not request payment or bank or credit-card information.
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