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Чётко очерченная senior-роль объединяет современную аналитическую платформу и внедрение AI-функций, но строгие требования к практическому опыту и доступность только в США сужают круг подходящих специалистов.
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Высокий порог входаТолько СШААктуальная аналитическая платформаПонятная зона ответственностиВлияние на госуслуги
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Текст:
Hirify AI/Оригинал
TL;DR
Product Manager, Analytics & Reporting (SaaS/Data & AI): Building and evolving NEOGOV’s analytics and reporting platform with an accent on Looker, Snowflake, cloud data lakes, and AI-powered insights. Focus on designing scalable embedded analytics, integrating natural-language querying and predictive capabilities, and coordinating Product, Design, Engineering, and customer stakeholders.
Location: Remote from anywhere in the US
Company
hirify.global builds SaaS technology for government and education organizations, supporting public-sector HR, compliance, analytics, and workforce operations.
What you will do
Define and execute the multi-year roadmap for the Analytics and Reporting platform using Looker, Snowflake, and enterprise data lake infrastructure.
Deliver AI-powered capabilities such as natural-language querying, automated anomaly detection, predictive reporting, LLM integrations, and smart summaries.
Oversee LookML models, dashboard templates, embedded analytics, self-service BI experiences, data governance, intake standards, and SLA guidelines.
Partner with Data Engineering on data modeling, ELT/ETL pipelines, Snowflake warehousing, cloud data lakes, query performance, and migration from legacy tooling.
Ensure row-level security, data privacy, and public-sector compliance across analytics and AI capabilities.
Align Product, UX, Engineering, QA, Customer Success, and Sales; gather customer feedback, support releases, and track adoption, performance, usage, and satisfaction metrics.
Requirements
5+ years of Product Management experience in SaaS organizations focused on data analytics, business intelligence, or data infrastructure platforms.
Hands-on experience with Looker and LookML, Snowflake data warehousing, and cloud data lakes such as AWS/S3, Azure Blob, or GCP.
Experience shipping AI/ML features into enterprise software, including natural-language querying, automated insights, or predictive modeling.
Ability to influence Product, UX Design, Engineering, and QA stakeholders without direct authority.
Ability to interview users, absorb information, and translate findings into user stories, acceptance criteria, samples, and prototypes for development and QA.
Ability to collaborate with a Scrum team to deliver documented, valuable features that enable downstream teams to use them.
Culture & Benefits
Remote work is available from anywhere in the US.
Build data and AI capabilities supporting critical decisions across a public-sector SaaS suite.
Collaborate with teams across Product, Design, Engineering, Data Science, Customer Success, and Sales.
Work on large-scale, mission-critical systems that help public agencies serve communities.
Hiring process
Application questions cover US work-visa sponsorship needs, relevant Product Management experience, reporting and analytics products built, Looker/LookML and Snowflake experience, shipped AI/ML features, and cloud data lake environments used.
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