Sr. Manager, Field Engineering - Lakebase

Sr. Manager, Field Engineering - Lakebase

Databricks

FEQ327R255 We are looking for a Sr. Manager, Field Engineering – Lakebase, to join our world-class hyper-growth organization. In this role, you will lead a specialized team of pre-sales Solutions Architects focused on our high priority product-line, Lakebase.  The team will engage with complex, strategic accounts, helping drive the growth and expansion of our Lakebase product offering in a territory that spans across multiple verticalized business units.. Your experience partnering with sales organizations will help grow consumption, while coaching new sales and pre-sales team members to work together and raise the bar to best-in-class execution. Your team will engage, plan and strategically align with direct account teams in the verticalized business units, jointly engaging clients as you help ensure Lakebase is adopted and provides tremendous value to our customers. You will guide your team and be involved in initiatives to enhance its effectiveness. You must be an expert at communicating complex, business-value-focused solutions, while remaining deeply technical as you position, explain, and are seen as a credible technical leader in the transactional database (OLTP) domain; support a complex consumption motion; and build relationships with key stakeholders in large enterprises. This role will report to a Global Lakebase leader in Field Engineering. THE IMPACT YOU WILL HAVE: * Hire and manage a team of technical pre-sales Solutions Architects focused on Lakebase. * Build a collaborative culture within a rapid-growth team that embodies and promotes Databricks’ customer-obsessed, team-first, and diverse values. * Support our growing Lakebase business, focusing on customer value and enabling your SA team to drive technical adoption and consumption. * Support increased return on investment of Solutions Architect involvement in sales cycles. * Create trust-based, long-term customer relationships and deeply understand transactional databases (OLTP), along with data platform, data warehousing (OLAP), AI, app development and cloud market landscapes and trends, reporting on the forces that shift the strategic direction of accounts. * Promote a solution-, value-, and technical-based field engineering organization focused on modern data architectures, operational workloads, and AI-native applications. * Display an understanding of business needs and revenue potential for accounts in the assigned region. * Build Databricks’ Lakebase brand across the market in partnership with Marketing, Product, and Sales teams. * Partner closely with Product and Engineering teams to translate customer feedback, technical requirements, and competitive insights into field readiness and product evolution. WHAT WE LOOK FOR: * 5+ years of first-line or second-line leadership experience, with teams of 7+ individuals (first-line) or 20+ individuals (second-line). * Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience in transactional (OLTP) database technologies, ideally including data warehousing, cloud infrastructure, data platforms, or AI solutions. * Ability to elevate executive engagement with a track record of driving large consumption and high-growth customers. * Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach. * Proven track record of transformational success and delivery of customer value. * Track record of building strong ecosystems of strategic customer relationships and cross-functional partnerships (Sales, Engineering, Product, Marketing). * Experience in complex strategic accounts generating $1M+ ARR. * Knowledgeable in and passionate about data-driven decisions, AI, cloud software models, operational data systems, and modern database architectures. * Great at instituting processes for technical field members to improve efficiency and execution. * Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. * Up to 30% travel at times. 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. Product Marketing Manager, Lakebase

Databricks

MKTQ227R20 At Databricks, Lakebase and Databricks Apps enable teams to build data-native applications where transactional data, analytics, and AI operate on the same platform. Lakebase provides a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps supports building and deploying secure applications that run close to governed data and models. This role reports to the Senior Director of Product Marketing and works closely with product, engineering, and field teams. In this role, you will own Lakebase product marketing for application developers and database owners, with a focus on Postgres-backed transactional workflows and data-native applications that combine operational data, analytics, and AI. This is a critical role for the business and you will be the subject matter expert on database marketing. You will be the leader owning the messaging and guiding the content and GTM across all aspects of database marketing, through sales, partner, and marketing teams, and helping drive the awareness and adoption of the Databricks Data Intelligence Platform. Ideal candidates will have a proven record in product marketing and experience working on technical products. You would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans. The impact you will have: * Own the messaging of Lakebase and clearly articulate its value for operational, analytical, and AI workloads * Develop and evolve use-case driven messaging for application developers and database owners, aligned with the broader Databricks Data Intelligence Platform narrative * Amplify messaging through Databricks own website and channels, as well as through partners’ webpages * Land sales enablement content and deliver high CSAT scores with field teams * Be the expert when it comes to any database messaging for any campaign or event Databricks is running, and enable teams with highly performant content to drive strong engagement and pipeline * Work with partner marketing teams at Databricks to coordinate our messaging at sponsored cloud events, such as Microsoft Ignite and AWS re:invent * Participate in joint business reviews with sales and partner teams, understand gaps where Lakebase marketing can help, and execute to drive a stronger impact * Deliver customer stories and proof points that demonstrate real-world Lakebase adoption and impact What we look for: * 5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in marketing cloud databases * Strong understanding of databases, analytics, and/or AI space * Experience building marketing content for technical personas * Experience working with sales teams (field marketing, enablement) * Experience working with partners (SI and/or ISVs) * Preferred technical academic background (BS in computer science or related discipline) or experience, coupled with MBA   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 $163,400—$224,750 USD Zone 2 Pay Range $147,100—$202,300 USD Zone 3 Pay Range $139,000—$191,050 USD Zone 4 Pay Range $130,700—$179,750 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.