Lead Technical Enablement Specialist, Field Capability – Readiness

🕒 vor 2 Tagen

🤠 Texas – Remote

🤠 Texas – Remote

💵 $137.100 - $235.750 / Jahr

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 1%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Databricks

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2013

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

💰 €1.600.000.000 Series H im 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks ist ein Daten- und KI-Unternehmen und bietet eine einheitliche Plattform für Data Engineering, Machine Learning und Analytics. Der Schwerpunkt liegt auf der Optimierung der Big-Data-Verarbeitung. Databricks unterstützt Organisationen dabei, Apache Spark zu nutzen, um tiefere Erkenntnisse und leistungsstarke, datengetriebene Anwendungen bereitzustellen. Zudem stellt Databricks robuste Tools und eine nahtlose Integration für MLOps (Machine Learning Operations) bereit.

Beschreibung

• Set the vision and roadmap for Field Engineering capability • Own and evolve readiness experiences across skills verification, technical demonstrations, role-based pathways, credentials, and practical application • Design, prototype, test, and scale new ways for Field Engineers to build and prove expertise • Define credible capability standards and embed development and validation into Field Engineering workflows • Adapt capability models and programs for an AI-enabled future • Partner with platform and engineering teams to create scalable systems and make skills, evidence, milestones, and recommendations visible • Establish governance, ownership, quality standards, content and assessment lifecycles, and feedback loops • Drive adoption through stakeholder planning, manager engagement, field feedback, and adoption data • Define measures of participation, proficiency, capability coverage, readiness, and emerging gaps • Connect demonstrated capability to development, specialization, succession planning, and career progression • Build a shared point of view, roadmap, high-value readiness experiences, cross-functional partnerships, scalable operating model, and measurable outcomes in the first year

🎯 Anforderungen

• 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, including shaping strategy, aligning stakeholders, designing, launching, measuring, and improving it • Strong strategic judgment and executive presence • Ability to partner with Directors and VPs, shape priorities, make tradeoffs, challenge assumptions constructively, and turn vision into decisions • Product mindset focused on users, problems, adoption, testing assumptions, and continuous improvement • Ability to balance rigor with practicality and create credible standards without unnecessary friction • Strong data fluency, including defining measures, interpreting dashboards, identifying patterns, and using data and field feedback • 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 practitioners, SME communities, enablement teams, regional leaders, and executives • Strong ownership mindset and ability to operate in a distributed, cross-functional environment • Nice to have: skills taxonomies, competency frameworks, technical certifications, assessment models, role-based capability systems, community-driven expertise models, learning science, adult learning, assessment design, capability-platform integrations, enterprise software enablement, or customer-facing technical experience • If access to export-controlled technology or source code is required, employment may depend on the employer's discretion regarding a U.S. government license

🏖️ Vorteile

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional benefits are provided via the employer's benefits information link

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