
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
🔥 32 minutes ago
🤠 Texas – Remote
💵 $137.1k - $235.8k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on Databricks's careers page, not through a job board
First seen by Remote Rocketship 32 minutes ago

1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
• Set the vision and roadmap for Field Engineering capability • Own and evolve a portfolio of readiness experiences, including skills verification, technical demonstrations, role-based pathways, credentials, and practical application • Invent and prototype new ways for Field Engineers to build and prove expertise • Partner with practitioners, managers, product teams, and subject-matter expert communities to define credible capability standards • Adapt capability models and programs for an AI-enabled future • Partner with internal platform and engineering teams to create scalable systems and make skills, evidence, readiness milestones, and recommendations visible • Build the operating model, governance, quality standards, content and assessment lifecycles, and feedback loops for a federated technical organization • Drive program adoption through stakeholder planning, manager engagement, field listening, and data-informed improvement • Define measures of participation, proficiency, capability coverage, readiness, and emerging gaps • Connect demonstrated capability to development, specialization, succession planning, and career progression • Establish a shared point of view, roadmap, high-value readiness experiences, cross-functional partnerships, leader visibility, and measurable progress in the first year
• 6+ years of experience in technical enablement, product management, learning and development, consulting, field engineering, or program leadership within a high-growth technology company • Track record of building and scaling something new from ambiguity • Strong strategic judgment and executive presence • Product mindset focused on user needs, adoption, testing, and continuous improvement • Ability to balance rigorous standards with practical, low-friction experiences • Strong data fluency, including defining measures, interpreting dashboards, identifying patterns, and using data and field feedback to drive decisions • Experience partnering with internal product, engineering, or platform teams to create scalable tools and workflows • Genuine curiosity about AI and its impact on technical work, customer engagement, and organizational capability • Technical fluency in data and AI, or curiosity and learning agility to build it quickly • Excellent communication skills across technical, enablement, regional, and executive stakeholders • Strong ownership mindset and ability to operate in a distributed, cross-functional environment • Hands-on experience using AI to improve assessment, personalization, content, or operations is a plus • Nice-to-have experience with skills taxonomies, competency frameworks, technical certifications, assessment models, or role-based capability systems • Nice-to-have experience with community-driven expertise models, learning science, adult learning, assessment design, internal platforms, enterprise software enablement, or customer-facing technical roles
• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks • Region-specific benefits information available • Equal employment opportunity and inclusive culture
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