Pre-Sales Manager – Data & AI Full-time

Req ID FEQ425R91

As a Pre-sales Manager (Data & AI) you will lead a team of pre-sales Solutions Architects focusing on complex Enterprise accounts, leading our UK&I expansion. Your experience partnering with sales organisations will help to close revenue with opportunities of +$1M ARR, whilst 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 an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and build relationships with key stakeholders in large corporations.

You will report to the Director, Field Engineering Manager

The impact you will have:

• Manage hiring, onboarding, and building your Pre-Sales Solutions Architect team. Analyses team skills gaps and proactively makes plans to address them.
• Rapidly scale the designated team without sacrificing quality. Accountable for achieving the targets of the group.
• Build a collaborative culture within a rapid-growth team. To embody and promote Databricks’ customer-obsessed, teamwork
• Support increase in Consumption on 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 vertical
• Build Databricks’ brand in UK&I in partnership with the Marketing and Sales team

What we look for:

• You will typically have experience in pre and/or post-sales in a relevant technical domain. Experience in pre-sales manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
• Experience in complex strategic accounts generating +$1M ARR
• Have experience scaling and mentoring field and technical teams
• Expertise in Big Data or AI/ML solutions, ideally familiar with real hands-on experience, building in production workloads.
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to improve efficiency
• Market experience of the UK&I region
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience

Benefits

• Private medical insurance
• Private dental insurance
• Health Cash Plan
• Life, income protection & critical illness insurance
• Pension PlanEquity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

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.

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.