Sr. Manager, Capability Engineering & AI Adoption — APJ

Databricks

Databricks is experiencing tremendous growth as enterprise organizations transition from evaluating AI to rapidly deploying production-grade AI systems. This role exists to redefine how we enable our largest customers to move faster, activate their data workforces, and convert platform investments into measurable business outcomes. As the Senior Manager of Capability Engineering & AI Adoption for APJ, you will lead a regional team of deeply Customer Enablement Architects who act as the ultimate trusted advisors and builder-enablement partners for Databricks’ most complex customers. You will operate at the intersection of technical depth and business strategy—translating advanced product roadmaps into just-in-time, personalized capability programs that meet customers exactly where they are in their modernization and AI adoption journeys. This position will be reporting to Director, Capability Engineering APJ.  THE IMPACT YOU WILL HAVE * People Leadership: Lead, coach, and develop an elite regional team of Customer Enablement Architects across APJ, setting a high standard for technical depth, customer impact, and creative problem-solving. * Capability Engineering at Scale: Redesign enterprise enablement workflows, moving away from legacy episodic models to continuous, contextual, and hyper-personalized capability building aligned with customers' modernization curves. * AI Adoption & MAU Activation: Partner directly with account teams and field leadership to diagnose capability blockers and drive measurable increases in Monthly Active Users (MAU) across strategic enterprise accounts. * Hands-on Builder Innovation: Cultivate a builder culture within the team to design and deploy custom enablement applications, tools, and prototypes (e.g., via Databricks Apps, Genie, or agentic frameworks) when standard curricula fall short. * Executive & Stakeholder Alignment: Conduct deep discovery sessions with enterprise technical leaders and C-suite executives, aligning strategic capability roadmaps with the customer's high-level AI transformation goals. * Global Operational Integrity: Serve as the regional voice into global curriculum and certification teams to prioritize APJ market needs and skill gaps, while maintaining strict operational rigor with training logistics teams. * Strategic Regional Presence: Undertake significant regional travel across APJ to engage directly with strategic enterprise accounts on-site, lead high-stakes executive alignment sessions, and provide hands-on leadership to a geographically dispersed team.  WHAT WE LOOK FOR * Technical Depth: Deep foundational understanding of lakehouse architecture, data engineering/ETL pipelines, data governance, and generative AI/agentic workflows to earn immediate respect from customer data teams. * Hands-on Builder Mindset: A non-negotiable track record of personally designing, building, and deploying working prototypes, automation tools, or technical apps. * Customer-Facing Solutioning: Prior experience in a solutions architect, customer success engineering, technical pre-sales, or advanced delivery role, with a proven ability to confidently navigate ambiguity and discover core user friction points. * Enablement Reinvention: Passion for moving beyond legacy classroom-style or completion-centric learning models into just-in-time, contextual capability building embedded directly in user workflows. * Commercial & Business Insight: Ability to connect technical skill outcomes to core P&L levers, influence renewals/expansions, and collaborate effectively with sales on strategic account planning. * APJ Fluency & Mobility (Required): Lived experience operating across APJ markets (ANZ, SEA, Japan, India, Korea). Ability and willingness to travel extensively (frequent regional travel expected) to meet customers and support team members across different geographies. You possess the resilience and cultural adaptability required to remain highly effective while managing a demanding regional travel schedule.  * Leadership and Credibility: Prior experience leading and managing technical or customer-facing engineering teams, with a proven ability to mentor talent, hold a high bar, and build a cohesive team identity. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

Databricks is experiencing tremendous growth as enterprise organizations transition from evaluating AI to rapidly deploying production-grade AI systems. This role exists to redefine how we enable our largest customers to move faster, activate their data workforces, and convert platform investments into measurable business outcomes. As the Senior Manager of Capability Engineering & AI Adoption for APJ, you will lead a regional team of deeply Customer Enablement Architects who act as the ultimate trusted advisors and builder-enablement partners for Databricks’ most complex customers. You will operate at the intersection of technical depth and business strategy—translating advanced product roadmaps into just-in-time, personalized capability programs that meet customers exactly where they are in their modernization and AI adoption journeys. This position will be reporting to Director, Capability Engineering APJ.  THE IMPACT YOU WILL HAVE * People Leadership: Lead, coach, and develop an elite regional team of Customer Enablement Architects across APJ, setting a high standard for technical depth, customer impact, and creative problem-solving. * Capability Engineering at Scale: Redesign enterprise enablement workflows, moving away from legacy episodic models to continuous, contextual, and hyper-personalized capability building aligned with customers' modernization curves. * AI Adoption & MAU Activation: Partner directly with account teams and field leadership to diagnose capability blockers and drive measurable increases in Monthly Active Users (MAU) across strategic enterprise accounts. * Hands-on Builder Innovation: Cultivate a builder culture within the team to design and deploy custom enablement applications, tools, and prototypes (e.g., via Databricks Apps, Genie, or agentic frameworks) when standard curricula fall short. * Executive & Stakeholder Alignment: Conduct deep discovery sessions with enterprise technical leaders and C-suite executives, aligning strategic capability roadmaps with the customer's high-level AI transformation goals. * Global Operational Integrity: Serve as the regional voice into global curriculum and certification teams to prioritize APJ market needs and skill gaps, while maintaining strict operational rigor with training logistics teams. * Strategic Regional Presence: Undertake significant regional travel across APJ to engage directly with strategic enterprise accounts on-site, lead high-stakes executive alignment sessions, and provide hands-on leadership to a geographically dispersed team.  WHAT WE LOOK FOR * Technical Depth: Deep foundational understanding of lakehouse architecture, data engineering/ETL pipelines, data governance, and generative AI/agentic workflows to earn immediate respect from customer data teams. * Hands-on Builder Mindset: A non-negotiable track record of personally designing, building, and deploying working prototypes, automation tools, or technical apps. * Customer-Facing Solutioning: Prior experience in a solutions architect, customer success engineering, technical pre-sales, or advanced delivery role, with a proven ability to confidently navigate ambiguity and discover core user friction points. * Enablement Reinvention: Passion for moving beyond legacy classroom-style or completion-centric learning models into just-in-time, contextual capability building embedded directly in user workflows. * Commercial & Business Insight: Ability to connect technical skill outcomes to core P&L levers, influence renewals/expansions, and collaborate effectively with sales on strategic account planning. * APJ Fluency & Mobility (Required): Lived experience operating across APJ markets (ANZ, SEA, Japan, India, Korea). Ability and willingness to travel extensively (frequent regional travel expected) to meet customers and support team members across different geographies. You possess the resilience and cultural adaptability required to remain highly effective while managing a demanding regional travel schedule.  * Leadership and Credibility: Prior experience leading and managing technical or customer-facing engineering teams, with a proven ability to mentor talent, hold a high bar, and build a cohesive team identity. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

FEQ425R219 The Sr. Manager, Field Engineering (Specialist) will lead a team of Partner Solution Architects. As you help mature our consulting & SI partner development function, you will provide technical guidance for practices at our consulting partners that span pre-sales teams and their data analytics delivery organizations. Your experience and influence, will help accelerate Customer Success and Databricks DBU consumption through a global partner ecosystem. You will guide and enhance your team's effectiveness; be an expert at communicating complex, outcome-based results that drive consumptions and help our joint customers achieve their desired outcome.  The impact you will have: * You will grow a team of Partner Solutions Architects for a company in high-growth mode. * Crush your OKRs! - by making sure our partners know how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers, identify valuable business-impacting offers and guide the adoption of the Databricks platform into partner solutions.  This will establish partners as trusted advisors by having strong capability and Databricks practices. * Lead a team to make partners grow their practice by driving priorities alongside partner sales and partner alliances along with the other databricks technical functions (Specialist, Professional Services, and Product) * Establish relationships across the business to make your partners and our customers successful. * Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values * Drive Customer Success and DBU consumption through consulting partners * Display a deep understanding of a consulting services business needs, revenue potential, escalation management and project-portfolio management as it relates to enterprise data transformation initiatives What we look for: * Experience hiring and managing field or technical teams from scratch at hyper-growth speed * 8+ years experience in senior pre-sales or post-sales roles, where you have assisted in the development of a successful team of professionals in Big Data, Cloud, or SaaS * Player/Coach capability, comfortable both leading or contributing to work on projects, with partners on our joint customers * Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models * Great at instituting processes for technical field members to promote efficiency * Bachelor's Degree in STEM subject, or MSc desirable * Technical background either in Data Engineering / Database technologies or Data Science About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.