AVP, Field Engineering

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The AVP, Field Engineering will lead a team managing technical field practitioners throughout the customer journey, drive technical wins, and mentor leaders while building a collaborative culture.
Summary Generated by Built In

ReqID: FEQ426R414

AVP, Field Engineering - North America

Mission: We are inviting exceptional leaders to apply for the AVP, Field Engineering role at Databricks, supporting our North America organization.

As an AVP Field Engineering, 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 succeed will be critical. You will report to the Americas Enterprise Field Engineering Leader and included in the scope of management and accountability for the AVP Field Engineering will be Solution Architects (SA's), Specialist Solution Architects (SSA's), and a new post-Technical Win role called the Delivery Solutions Architect (DSA's). Tight alignment with Sales segmentation and strategy, coupled with resource prioritization and distribution across these three technical roles, is paramount to the success of the AVP Field Engineering.

Outcomes:

  • 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 segment team while maintaining a high bar for talent (Hiring vs Target)
  • Drive a consistent, thorough management operating rhythm to review KPIs (pipeline, Use Case progress, POC/POV status, velocity of Win to Production, etc.)
  • Increase SA, SSA, and DSA efficiency in Sales and Consumption cycles
  • 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

What we look for:  

  • 15+ years of experience in building and scaling 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
  • Knowledgeable in AI and Cloud software models with technical competence in Data Warehousing, Data Engineering, and Analytics/Machine Learning
  • Experience in instituting processes for technical field members to improve operational efficiency
  • Organizational leadership, with the 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
  • Open to travel up to 25% per month


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, please visit https://www.mybenefitsnow.com/databricks. 

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.

Top Skills

AI
Analytics
Cloud Software
Data Engineering
Data Warehousing
Machine Learning
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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