Databricks предлагает четко очерченную роль с ответственностью за AI-продукт обучения и прозрачной оплатой, но зарплатный ориентир ставит указанную вилку ниже рынка, что снижает привлекательность вакансии.
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Ниже рынкаСфера AIЧеткая зона ответственностиИзвестный продукт
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Lead Learning Technical Enablement Specialist (AI): Building AI-first learning systems and platform experiences that help Databricks customers, partners, and employees develop data and AI skills with an accent on contextual guidance, adaptive learning, assessments, and skills analytics. Focus on designing learner models, skills graphs, personalization tools, and predictive insights that demonstrate learning efficacy and support global enterprise-scale adoption.
Location: United States
Base salary range: $137,100–$235,750 USD annually, depending on pay zone and candidate-specific factors.
Company
Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.
What you will do
Define the product vision, strategy, and roadmap for AI-first learning systems on the Databricks platform.
Design contextual, in-flow learning experiences triggered by usage patterns, errors, task types, and other work signals.
Translate pedagogical goals into learner models, skills graphs, progress tracking, adaptive paths, assessments, and feedback loops.
Partner with UX, content design, engineering, infrastructure, curriculum, education, documentation, and go-to-market teams to deliver scalable learning capabilities.
Develop analytics and predictive signals for learning efficacy, skills attainment, emerging capability gaps, and enablement impact.
Build personalization, automation, dashboards, reports, and self-service tools for enablement teams and organizational leaders.
Requirements
5–8+ years of experience in product management, UX-focused product roles, or learning and education platforms.
End-to-end product ownership experience, including strategy, roadmaps, PRDs, engineering and design collaboration, and shipping user-facing features.
Experience with learning systems, training platforms, LMS, certification, education analytics, in-product guidance, or knowledge experiences.
Strong UX instincts and experience creating intuitive flows, information architectures, and content experiences with designers and researchers.
Ability to define metrics, instrument experiments, and use analytics to understand user behavior, learning outcomes, and skills gaps.
Excellent written and verbal communication skills, including the ability to explain complex concepts simply.
Nice to have
Experience with AI-powered learning, adaptive systems, or incorporating LLMs into user workflows.
Experience in B2B SaaS, developer tools, or data and AI products.
Culture & Benefits
Comprehensive employee benefits and region-specific perks.
Annual performance bonus and equity may be included in the total compensation package.
Inclusive hiring practices and a workplace focused on diversity and equal employment opportunity.
Work with a global Data and AI company serving more than 20,000 organizations.
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