aiproduct managementdata engineeringanalyticsbusiness intelligencedatabricksdata governancemulti tenant systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$115к-125к/год
$150к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.5к/мес ($3.9к - $5.8к)
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Роль четко очерчена и сочетает ответственность за продукт с практической работой над AI-аналитикой в актуальной климатической сфере; требование разрешения на работу в США ограничивает круг доступных соискателей.
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Ниже рынкаAI в продуктеЧеткая зона ответственностиКлиматические технологииТолько с правом работы в США
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Manager, Analytics & Insights (AI): Owns the vision, roadmap, and delivery of client- and program-facing analytics products with an accent on secure multi-tenant dashboards, Databricks data products, and AI-enabled insights. Focus on designing conversational analytics and agentic tools, setting accuracy and access guardrails, and connecting analytics across a broader product ecosystem.
Location: Remote - Maryland; other listed remote locations include Michigan, Massachusetts, Ohio, Georgia, and Texas. Applicants must be authorized to work in the United States without employer sponsorship or immigration support.
hirify.global develops energy-efficiency solutions that support a sustainable, equitable, and carbon-neutral future for communities and the planet.
What you will do
Own the vision, strategy, roadmap, discovery, PRDs, prototypes, backlog, and delivery for client- and program-facing analytics products.
Develop secure, multi-tenant dashboards, value-realization reporting, and scalable branded reporting that reduces manual work.
Shape AI-enabled analytics, including conversational tools and AI-generated insights, with guardrails for accuracy, explainability, data access, and human review.
Partner with data engineering and platform teams on Databricks ingestion, modeling, governance, and data serving requirements.
Work with clients, program managers, client success, engineering, Data & AI, and peer product managers to validate solutions, coordinate integrations, and communicate releases.
Define and track KPIs including adoption, self-service usage, time to insight, data quality, reduced manual reporting, and client satisfaction.
Requirements
5+ years of product management experience, including ownership of data, analytics, or BI products.
Hands-on experience with the Databricks platform and close collaboration with data engineering teams.
Experience delivering client-facing or embedded analytics in a multi-tenant environment.
Experience with AI-powered products such as conversational analytics, LLM-generated insights, or agentic tools, including maintaining output accuracy.
Record of shipping products with measurable business results.
Experience in a multi-product or platform organization where the product area is part of a larger solution.
Ability to translate business questions into data requirements and complex data into clear findings for clients.
Ability to define 1–3 year outcomes-focused roadmaps, communicate tradeoffs, make data-informed decisions, and influence without direct authority.
Must be authorized to work in the United States without employer sponsorship or support for immigration status or work authorization.
Nice to have
Experience delivering analytics products for enterprise clients in regulated or program-driven industries such as energy, utilities, sustainability, government, healthcare, or financial services.
Experience with data governance, access controls, and data sharing.
Culture & Benefits
People-first culture built on trust, accountability, transparency, respect, and equal opportunity.
Medical, dental, and vision insurance with a company-paid health care concierge service.
401(k) with company match and paid vacation, sick, personal, parental, and volunteer leave.
Employee recognition program, Employee Assistance Program, and on-demand career training.
Full-time individual contributor role; successful hires must pass pre-employment checks and meet applicable DOT requirements if relevant.
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