GenAI Sales Lead, AMER

Posted 8 Hours Ago
Be an Early Applicant
San Francisco, CA
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The GenAI Sales Lead will drive the GenAI market opportunity by engaging with executives and technologists, developing sales strategies, mentoring teams, and ensuring customer satisfaction through successful product deployments. Responsibilities include co-developing business plans, leading customer engagements, and supporting ongoing big data transformation efforts.
Summary Generated by Built In

P-1022

Candidates in the listed location(s) are encouraged for this role

  • Remote - San Francisco

We are looking for an Amer Enterprise GenAI Sales Lead to join the AI GTM Team with the objective to support our direct sales organization and help capture the GenAI market opportunity. This role offers an amazing opportunity to join our fast paced, customer obsessed, highly innovative culture while focusing on the hottest area in the Data and AI space, GenAI.

As a GenAI Sales Lead covering AMER, you will be responsible for identifying and accelerating our customers' top GenAI use cases by engaging CxO's, LoB executives, and technologists (eg researchers, ML engineers, app developers, data engineers).  This role will also include building and executing a GenAI Sales strategy for AMER, activating and enabling the direct sales teams, providing customer feedback to product teams, and ensuring customer satisfaction through successful, scaled production deployments. Sales and/or Consulting experience and passion for the AI/ML space are required along with a deep technical depth of GenAI and AI foundational principles.


The impact you will have: 

  • Meet with CXOs, IT/Data executives, LOB executives, Program Managers, and other important partners within the Enterprise customer segment
  • Influence fast moving “land and expand” sales cycles as well as larger, more complex sales cycles related to the Databricks Mosaic AI products  
  • Customer Obsession: Ensure success of GenAI use case from ideation all the way to production.
  • You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new customers and enables you to exceed quarterly/annual usage and booking goals
  • You will motivate, enable and mentor a diverse team of GenAI and Data professionals to implement your business plan
  • You will lead your team, customers and partners to identify impactful GenAI use cases while proving business value on the Databricks Data Intelligence Platform
  • You will support the broader GenAI and big data transformation goals of your customers through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement


What we look for: 

  • Inherently curious - always looking to learn more in the AI space and strives to be a thought leader amongst the sales org and customers. Already possess sales experience within GenAI/ML sales and understands how to identify buying centers to broadly sell the Data Intelligence Platform
  • Executive presence with prior customer relationships with CIOs, program managers, and essential decision makers 
  • Ability to simply articulate complex GenAI technologies
  • Enterprise Sales experience exceeding quotas.
  • Bachelor's Degree
  • Methods for co-developing business cases, solutioning accelerators and gaining support from champions and C-level Executives
  • Experience identifying and developing a clear partner strategy through implementation to achieve customer success
  • Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message)
  • Experience tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce



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
Genai
Ml
The Company
New York, NY
2,200 Employees
On-site Workplace
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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