Full-Time

AVP – Field Engineering

Financial Services

Posted on 8/29/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior, Expert

Boston, MA, USA + 2 more

More locations: Washington, DC, USA | New York, NY, USA

Locations include New York, Boston, or Washington D.C. in the Eastern U.S.

Category
Data Management
Data Science
Data Engineering
Data & Analytics
Required Skills
Databricks
Data Analysis
Requirements
  • 15+ years 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
  • Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience in the Financial Services market.
  • Knowledgeable in AI, and Cloud software models with technical competence in Data Warehousing, Data Engineering, and Analytics/Machine Learning
  • Experience instituting processes for technical field members to improve operational efficiency
  • Organizational leadership, with an 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
Responsibilities
  • 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.
  • 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
  • Build Databricks' brand in the Financial Services sector with the GTM and Sales teams.

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. The goal of Databricks is to empower organizations to leverage their data effectively for better decision-making.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion, valuing the company at $62 billion in 2023.
  • The company plans to expand globally, including into Saudi Arabia, enhancing market presence.
  • Growing demand for real-time analytics boosts Databricks' lakehouse architecture adoption.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share.
  • Rapid AI advancements could render Databricks' offerings obsolete without innovation.
  • Regulatory scrutiny over data privacy may impact Databricks' operations in new regions.

What makes Databricks unique

  • Databricks offers a unique lakehouse architecture combining data lakes and warehouses.
  • The platform supports seamless integration with various cloud services for data management.
  • Databricks provides automated ETL processes and high-performance analytics capabilities.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

INACTIVE