Account Executive, Product Sales (Tax)

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.

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a manager on this team, you will be responsible for growing our relationship with sellers in your region, developing the Service Architects that report into you, and advancing our program to better meet customer needs.  At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Manage, develop, and mentor a fast-paced team of Service Architects * Operate as a player/coach to design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch * Develop relationships with sellers in your region to grow sales of Implementation Services  * Connect directly with customers to position our services and evaluate the impact of our program on their business * Ensure the highest quality engagements are delivered to our customers * Own initiatives to improve our program and services offerings * Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience Who You Are: * Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems * 3-5 years of people management experience * 1-2 years of experience in selling or positioning professional services * Outstanding skills presenting to both technical and executive audiences * Experience with current infrastructure and monitoring solutions and technologies * Able to sit up to 4 hours, traveling to and from client sites  * Able to travel via auto, train or air up to 30% of the time Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: * Best-in-breed onboarding * Generous global benefits * Intra-departmental mentor and buddy program for in-house networking * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HYBRID ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.