Field CTO (Perm, USA, Remote)

Field CTO - America Industries

Databricks

FEQ426R758 Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Americas Industries Business Unit to be a senior, customer-facing technology and business transformation thought leader for our most strategic, often global, accounts in regulated industries. This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks. IMPACT YOU WILL HAVE: * Build and maintain trusted-advisor relationships with C-level executives (CIO, CDO, CTO, CISO, business COs) in large US-based and global accounts, especially in highly regulated industries (financial services, public sector, healthcare, manufacturing). * Proactively cultivate a strong social and professional network across customer executives, boards, key industry bodies, and partners, knowing which organizations and forums to engage to open doors with the right stakeholders. * Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact. * Lead C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps. * Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs. * Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes. * Orchestrate the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects. * Partner with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth. * Provide structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements. * Mentor senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts. WHAT WE LOOK FOR: * 15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations. * Significant time spent inside a large enterprise software or cloud company (e.g., Microsoft or similar) in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software. * Experience in or with regulated industries (financial services, healthcare, public sector, regulated manufacturing, utilities), with familiarity with regulatory and compliance considerations affecting data and AI platforms. * Background that blends: * Hands-on technology and architecture work on data platforms and analytics. * Organizational and operating model change (ways of working, skills, governance). * Executive consulting or advisory, ideally seeing transformations through from strategy to multi-year execution, not only strategy decks. * Proven ability to operate as a highly credible peer to C-level executives, driving business-outcome-focused conversations while also diving deep into technical details when needed. * Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities. * Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $249,800—$343,400 USD 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.

Lead Adoption Architect - Agent Bricks

Databricks

SLSQ426R506 Mission 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 * 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.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $264,000—$363,000 USD Zone 2 Pay Range $264,000—$363,000 USD Zone 3 Pay Range $264,000—$363,000 USD Zone 4 Pay Range $264,000—$363,000 USD 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.

Sr. Director, Field Engineering (Lakebase)

Databricks

We seek a seasoned technical leader for the Sr. Director of Field Engineering (Lakebase) position for North America. In this role, you will lead a leadership team managing technical field practitioners covering the end-to-end Databricks customer journey from Pre-Sales to Go-Live. Your teams will be accountable for driving the technical/business wins for the Databricks platform as well as accelerating the consumption of the Databricks platform, and driving workloads to production for all customers in your segment. Hiring, coaching, and motivating the team to success will be critical.  Req ID: FEQ327R205 The impact you will have: * You will report to the Americas Enterprise Field Engineering Leader and take full ownership and accountability for the global Lakebase Field Engineering organization scaling to over 50 SAs. * Tight alignment with Global Lakebase Sales leader to define and operationalize Lakebase GTM strategy coupled with resource prioritization and distribution. * Build a collaborative culture within a rapid-growth team. You will manage and mentor leaders and recruit talent focusing on inclusivity and resilience. * Rapidly scale the Field Engineering Lakebase team while maintaining an exceptionally high bar for talent and hiring at pace. * Drive a consistent, thorough management operating rhythm to review KPIs specific to a high-velocity database launch (developer adoption, production migration velocity, application launch timelines, and low-latency workload success). * Serve as a thought leader, consulting with strategic customer and partner contacts to position the strength of Databricks, the comprehensive solutions strategy, and build trust and credibility in the account. * Build Databricks' brand as a world-class operational database vendor with global GTM teams, positioning Lakebase as the definitive storage layer for modern data apps and AI agents. What we look for: * 10+ years of experience in building and scaling technical pre-sales and Customer Delivery teams. * Experience in scaling and mentoring field and technical teams, managing both in-person and remote working models. * Experience working with accounts - from Growth/Net New to Large and Complex accounts generating +$1M ARR. * Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience in the database market. * Deep technical competence in operational databases (PostgreSQL/OLTP), application development paradigms, real-time data streaming, application APIs, and AI/ML state frameworks (like vector search extensions or agentic workflows), alongside a strong understanding of core Lakehouse architecture. * Experience instituting processes for technical field members to improve operational efficiency. * Organizational leadership, with an ability to attract, develop, and retain talent. * Ability to operate in a rapidly changing, ambiguous environment, while delivering results in the near term and building for durable, long-term growth. * As this is a global team, need to be open to a minimum travel expectation of 30%.   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.