Lead Adoption Architect - Agent Bricks

Навыки

• Data Lake
• Google Tag Manager
• Лидерство

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Задачи

• SLSQ426R506
• The Product Adoption Architect drives financial performance and field effectiveness for a Databricks’ product line
• They will work closely with PMs teams and GTM teams to lay out the playbook, focus and execution on GTM actions for product priorities
• They set the requirements and vision for product plays that can be amplified across the entire Field
• Adoption Architects also works with product management to collect signals from the field and establish product-market-fit
• They triage product escalations and represent the field perspective on strategic decisions
• The adoption architect works with field leaders to create a strategy to hit their product specific targets, and create a community of embedded product leads (EPLs) across the field to drive behavior and accountability at the ground level
• Outcomes
• Create the strategy and definition of scalable, repeatable Product Programs
• Establish global plays (deliverables, resources, tracking, program management) that enable business units to execute plays and drive product line adoption
• Partner with BU leaders and EPLs to drive adoption of these programs and achieve meaningful $DBUs
• Credibly partner with the PM to align roadmaps with play objectives and markets
• Prioritize customer blockers to maximize field impact of product development
• Proposed Metrics
• Measure 1: Product Line $DBUs at a company level and BU level
• Competencies & Responsibilities

Требования

• 10+ years of experience in the data analytics space to understand and prioritize product capabilities
• Proven trusted advisor to technical executives that drive strategic data decisions
• Operationally minded and ability to design at a system level
• Strong execution and ability to drive to outcomes in the face of ambiguity
• Strong leadership skills - ability to coordinate with various roles across GTM and R&D that contribute toward product line adoption

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.