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Full-Time

AVP – Field Engineering

Financial Services

Updated on 9/17/2024

Databricks

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics
AI & Machine Learning
Enterprise Software

Expert

Boston, MA, USA + 2 more

Category
Data Management
Data Science
Data Engineering
Data & Analytics
Required Skills
Sales
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 Lakehouse Platform integrating data management, analytics, and AI capabilities across a range of industries. Employing tools like Delta Lake and Databricks SQL enhances operational efficiency and precision. As a workplace, it offers a collaborative and technology-driven environment, promoting growth through cutting-edge machine learning solutions and a commitment to leading the industry in data innovation. This makes it an inspiring place for tech professionals to advance their careers in a vibrant and forward-thinking setting.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

10%

1 year growth

24%

2 year growth

84%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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