Databricks

Role Description We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. - You will work with 1-5 clients as the main technical voice for Databricks. - You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy. - You will implement the technical strategy in the account, in close understanding of the strategy. - Build a movement of technical champions within the account. - Align technical strategies around Databricks solutions. - You will provide structured mentorship for other team members. Qualifications - 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space. - 3+ years working in a pre-sales capacity or supporting sales activity. - Technical in big data, data science and cloud. - An ability in data-driven business transformation, and driving change with data. - 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions. - Maintain and extend production data systems to evolve with complex customer needs. - Production programming experience in Python, R, Scala or Java. - Nice to have: Databricks Certification. Benefits - Comprehensive health coverage including medical, dental, and vision. - 401(k) Plan. - Equity awards. - Flexible time off. - Paid parental leave. - Family Planning. - Gym reimbursement. - Annual personal development fund. - Employee Assistance Program (EAP). - Pay Range Transparency.

• Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies. • Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications. • Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions. • Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements. • Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust.

• Define the architecture and technical strategy for Databricks' AI security tooling platform • Lead the design and development of AI platform capabilities • Serve as the technical authority on AI security engineering • Mentor senior and mid-level engineers

• As a Staff Security Software Engineer on the AI Security team, you are a senior technical leader who sets the standards for how Databricks secures its AI and ML capabilities. • You lead AI red team engagements against production AI systems, conduct security architecture reviews for complex, multi-system AI features, and build the tooling and frameworks that scale the team's impact. • You are a subject matter expert in at least two AI security domains and you operate with significant autonomy- driving cross-team remediation, setting technical standards, and mentoring teammates in both offensive techniques and secure AI design.

• Help data teams solve security issues • Meet with customers to answer questions • Create customer-facing content • Build internal enablement materials • Identify customer pain points

Role Description The impact you will have: - Outcome 1 - Outcome 2 - Outcome 3 - Outcome 4 - Outcome 5 - Outcome 6 What we look for: - Competency 1 - Competency 2 - Competency 3 - Competency 4 - Competency 5 - Competency 6 Company Description 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. 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.

• You will be viewed as a security expert as you work with field teams and customers to understand architectures, address concerns and handle compliance questions • Your contributions may come in multiple ways, including customer interactions, scalable slides or white paper creation, internal enablement, process improvement, automation, or technical leadership. • When you’re on the call, you will be directly appreciated. • You might not come from an assurance team, but you’ll come up to speed with common security and compliance regimes. • You will identify customer pain points and work with product management and product marketing to improve our product and our messaging. • You will contribute to internal-facing services and automation that make life easier for our field staff and our customers. • You are probably already great at AI productivity, but you’ll sit in a group focused on becoming legendary.

• You work with multiple clients as the main technical voice for Databricks. • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy • You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value. • You build a movement of technical champions within the account. • You align technical strategies around Databricks solutions. • You provide structured mentorship for other team members. • Gain your peers' respect through your experience, insight, and contributions.

• You will respond to incidents as part of a distributed 24x7 operations and on-call schedule. • You will triage and respond to security events and alerts, ensuring quick and effective containment. • You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events. • You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team. • You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.

Role Description The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing and HiTech Enterprise Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: - You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. - Make your customers extremely successful with Databricks and provide outsized value to their businesses. - You will maintain a robust hiring pipeline at all times. - Establish relationships across the business to make your customers and team successful. - Partner with sales leadership to hit sales and consumption targets while ensuring customer success. - Keep your team of SAs ahead of the technical curve, ensuring continuous learning and advanced knowledge of the data+AI technology stack. Qualifications - 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals. - 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI). - A deep technical understanding of the impact that Data + AI can drive within various industry segments. - Technical competence to earn the trust of Engineering talent and leadership at Databricks. - Trusted advisor to technical executives who guide strategic data infrastructure decisions. - Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans. - Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners. - Experience working with other teams such as Product Management, Engineering, and Customer Success. - Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale. Requirements - 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. - Zone 1 Pay Range: $192,100 — $264,175 USD. 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 . Company Description 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.