Sr. Product Marketing Engineer - Cloud Product Lead Growth

Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. Learn more at elastic.co.

Product Marketing Engineers (PME) at Elastic build demos that Elasticians around the world use to showcase the art of the possible with our products. Our work ranges from stuff you see on the public demo gallery to ElasticON demos to everyday demos that get used in customer meetings, webinars, and such. With such a broad internal and external audience, we treat our demos like products - they need infrastructure and process to ensure they are highly available and consistent. This is where you come in.

As a PME at Elastic, you will build demos to showcase Elastic’s capabilities. You will build and publish examples to help customers learn how to easily get started on Elastic from within AWS, Azure or Google Cloud. You will work with other teams at Elastic to collaboratively build and deliver technical workshops, webinars, and other informative content, all crafted to simplify product adoption experience. Additionally, there will be opportunities to build new content using Elastic Cloud - whether it be a demo or something entirely new based on your original idea! Have a wild idea about monitoring drones telemetry or perhaps detecting attacks in the blockchain? You will fit right in.

What You Will Be Doing:

• Build and publish examples of how to easily get started with Elastic on AWS, Google Cloud and Azure, including use of technologies like Terraform, AWS CloudFormation, to simplify deployment and configuration of Elastic’s search, observability and security solutions;
• Build search, observability and security, demos and technical samples on the Elasticsearch platform. Support the resilience and content of our public facing demo environments.
• Partner with the broader product marketing team to build assets to support customers at different stages of the funnel, including blog posts, technical videos, code samples, cheat sheets, and workshops;
• Product important metrics for internal partners to share performance and usage of assets;
• Partner with the broader go to market organization to support vertical specific demos (eg. Elastic for IoT, Elastic in fintech etc.);

What You Will Bring:

• Extensive experience with using Elasticsearch in cloud environments;
• Broad software development background (we use Python, shell scripting, but across the company is everything else from Java to Go);
• Experience with some or all of the following
• Terraform
• AWS CloudFormation
• Docker
• Kubernetes
• Familiar with deployment and operation of workloads within AWS, Google Cloud and Azure cloud environments;
• Comfortable with communicating to non-experts, must be able to explain and educate audiences, through blogs, videos, in person customer discussions and webinars;

Bonus Points:

• Prior experience as a technical marketing engineer, or as a pre-sales engineer, with cloud technologies;
• Experience implementing one or more of Elastic’s solutions in customer environments;
• Familiar with search and observability solutions like OpenSearch, Algolia, DataDog, Splunk and native services on cloud providers;

#LI-JM5

Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  

The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. 

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.  

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experi