Full-Time

Director – Strategy & Execution

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
AI & Machine Learning

Compensation Overview

$205.4k - $363.4kAnnually

+ Annual Performance Bonus + Equity

Senior

San Francisco, CA, USA

Category
Project Management
Strategy Development
Business & Strategy
Required Skills
Salesforce
Data Analysis
Requirements
  • Field and/or Field Operations experience: Deep understanding of the technical sales process in Enterprise B2B software, with a proven ability to support technical sellers in driving customer consumption across multiple product lines.
  • First-principles problem solver: Ability to analyze complex challenges, understand customer needs, and identify areas for improvement across global operations.
  • Scale and process-oriented thinker: Skilled in making decisions that enhance operational efficiency and drive scalability through systems and automation.
  • Change management expertise: Proven success in leading through transformational change and scaling operations in high-growth environments, with a focus on driving adoption of new processes and tools.
  • Strategic influence: Experience presenting to and influencing senior leadership across global teams, ensuring alignment on operational goals and scaling initiatives.
  • Collaborative team player: Track record of working cross-functionally and globally to deliver actionable, data-driven results.
  • Data-driven mindset: Strong analytical skills with the ability to gather insights and perform basic analysis to support operational decisions.
  • 6+ years of experience in an operational role supporting a global technical field organization, or strong familiarity with B2B enterprise sales systems and processes, such as Salesforce.
  • BA/BS degree or equivalent required.
Responsibilities
  • Drive operational excellence by implementing best practices, automating processes, and innovating tools and systems to improve productivity across a global sales organization.
  • Simplify field experiences for our field teams, enabling them to spend more productive time with customers and drive business growth through optimized workflows and tools.
  • Equip Field Resources with the necessary resources—including playbooks, automated systems, and tools—to accelerate customer adoption and consumption across a complex portfolio of product lines.
  • Champion process automation, simplification, and system enhancements that reduce manual effort and empower sellers to focus on value-driven customer engagements.
  • Foster a culture of continuous improvement by leading cross-functional initiatives that identify inefficiencies, proactively address challenges, and scale operational excellence across the organization.

Databricks provides a platform that combines data lakes and data warehouses into a single architecture known as lakehouse. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a variety of users, including data engineers, data scientists, and business analysts, across industries like finance, healthcare, and technology. The platform features automated ETL processes, secure data sharing, and high-performance analytics, and it also supports machine learning and AI workloads for building and deploying models. Databricks operates on a subscription-based model, generating revenue through client subscriptions and professional services. The company's goal is to streamline data management and analytics, making it easier for organizations to leverage their data effectively.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

26%

2 year growth

78%
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.

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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