Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$95к-161к/год
$150к$180кмедиана$200к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.3к - $5.7к)
62
Средняя вакансия
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Роль описана чётко и даёт серьёзную ответственность за платформу данных, но указанная зарплата заметно ниже ориентира для похожих senior-позиций, что снижает привлекательность предложения.
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Ниже рынкаЧёткая зона ответственностиВостребованное направлениеУдалённо по США
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Manager (Data Platform): Owns data sourcing, onboarding, contracts, governance, and internal consumer experience for a cloud-native data platform with an accent on data reliability, adoption, and AI-assisted delivery. Focus on evaluating data sources, defining schemas and quality standards, prioritizing cross-functional needs, and enabling engineering, analytics, data science, Agentic AI, and operations teams to build faster.
Location: Remote, Texas, United States
Salary: USD 94,700–161,300 per year
Company
A product and software company building a cloud-native data platform that ingests, governs, and serves data to product and analytics teams.
What you will do
Own the strategy and prioritization for internal and third-party data sources, balancing coverage, cost, licensing, quality, and implementation effort.
Define the source onboarding process from evaluation and provider assessment through ingestion, validation, and go-live.
Establish data contracts and standards for schemas, freshness, quality, metadata, and governance.
Manage internal product engineering, analytics, data science, Agentic AI, and operations teams as platform customers.
Track source coverage, data quality, freshness, adoption, consumer satisfaction, and time-to-onboard.
Use AI tools for requirements, documentation, source evaluation, feedback analysis, prototyping, and consumer support.
Requirements
5+ years of product management experience, including work with data, platform, infrastructure, or API products for internal or technical users.
Fluency with data pipelines, warehouses and lakes, schemas, data quality, and governance.
Familiarity with modern cloud data stacks, including object storage, managed warehouses, streaming or ELT, and orchestration.
Strong written communication and stakeholder alignment skills.
Active use of AI tools and an interest in evolving AI-assisted workflows.
Nice to have
Experience in real estate, property, leasing, or proptech.
Experience defining data contracts.
Familiarity with data catalogs, lineage, or self-service analytics tools.
SQL fluency and comfort exploring data directly.
Culture & Benefits
Remote work in the United States.
Health, dental, and vision insurance.
Retirement savings plan with company match.
Paid time off and holidays.
Professional development opportunities.
Performance-based bonus eligibility.
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