Role at a glance
- Salary
- Not Disclosed
- Location
- United Kingdom - London
- Work arrangement
- Hybrid
- Employment
- Full-time
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Role Summary
The Manager, Field Engineering (Data and AI) leads a pre-sales Solutions Architect team supporting complex strategic accounts and UK&I expansion, with a focus on the Retail and Consumer Packaged Goods sectors. The role partners with Sales and Marketing to accelerate platform adoption, support customer projects and technical implementation decisions, and build a collaborative field-engineering organization.
What You'll Do
- Manage hiring, onboarding and building the Pre-Sales Solutions Architect team
- Scale the designated team while maintaining quality
- Use AI to improve day-to-day workflows and scale team output
- Build a collaborative culture within a rapid-growth team
- Support increased consumption revenue through Solutions Architect involvement in sales cycles
- Engage directly with key customer stakeholders to speed up customer projects and technical implementation decisions
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
AI-native builder mentality; pre-sales leadership experience; customer-facing experience across Retail and CPG sectors in the UK and Ireland; experience developing go-to-market strategies and working with complex strategic accounts; experience scaling and mentoring field and technical teams; knowledge of data-driven decisions, AI, and Cloud software models; ability to institute processes for technical field members to improve efficiency.
Required
- AI native builder mentality by using AI to enhance your own productivity and that of your team
- Experience in a pre-sales leader role developing, managing and building a team of successful Big Data, AI, or Cloud professionals
- Experience in a customer-facing role across the Retail and CPG sectors in the UK and Ireland
- Experience in developing go-to-market (GTM) strategies
- Experience in complex strategic accounts
- Experience scaling and mentoring field and technical teams
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to improve efficiency
Original job description
Content provided by the employer
Original job description
Content provided by the employer
(FEQ427R369)
As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Retail and Consumer Packaged Goods sectors. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be a skilled communicator with experience addressing complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations.
You will report to the Director, Field Engineering.
The impact you will have:
- Manage hiring, onboarding and building your Pre-Sales Solutions Architect team
- Where required, rapidly scale the designated team without sacrificing quality
- Comfortable leading by example by using AI to improve day-to-day workflows to scale the team output
- Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
- Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles
- Promote a solution and value-based selling field-engineering organisation
- Display an understanding of business needs and revenue potential for accounts in the assigned region
- Build Databricks' brand in UK&I in partnership with the Marketing and Sales team
- Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions
- Help Databricks continue to expand by inspiring our customers as we evolve our processes to support our business and technical growth
What we look for:
- Have AI native builder mentality by using AI to enhance your own productivity and that of your team
- Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals.
- Experience in a customer-facing role across the Retail and CPG sectors in the UK and Ireland
- Experience in developing go-to-market (GTM) strategies
- Experience in complex strategic accounts
- Have experience scaling and mentoring field and technical teams
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to improve efficiency
#LI-hybrid
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.