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Account Executive, Elastic (Europe)


Elastic, powered by Emerald, is seeking an Account Executive to join our growing software sales team. Elastic works with the world’s most iconic retail brands – including New Balance, Patagonia, Helly Hansen, Jack Wolfskin, Millet, Quiksilver, La Sportiva and more – to enhance their 365 digital commerce capabilities through our globally-adopted B2B SaaS ecommerce platform. Our platform innovates the way brands and retailers connect and provides retailers with a standardized, self-service tool to drive efficiency across buying, merchandising, marketing, logistics, and more in a rapidly expanding market.

As an Account Executive, you will be responsible for selling the Elastic Suite enterprise B2B platform to established retail brands with annual sales that exceed 5M €. This is a high-value sales role where you’ll prospect warm and cold leads with custom messaging via email, over the phone, and through social media. Once you have a brand hooked, you’ll conduct live web demos of our software. And you’ll have to work closely and cross-functionally with our professional services, sales operations, and technical services teams as you manage your sales pipeline through to close.

Why work with Elastic?

• Get in on the ground floor as we scale Elastic in a big way. We’re actively investing in new technology, features, and products to best support the needs of our customers.
• You’re selling a proven SaaS platform. Our platform has quickly become the industry-leading standard in several retail verticals. There is a lot of opportunity to consolidate current markets and move into new verticals.
• We love what we do. We’re not just supporting retailers – we’re living the lifestyle. After hours you’ll find our teams hiking, snowboarding, and running using the same products we help brands sell with the Elastic platform.


To be considered for this role you must speak Fluent German & English. You must also be located in France, Italy, or UK to be considered for this role. 


  • Develop account strategy for maximum revenue potential
  • Prospect key targeted accounts to schedule discovery & demo calls
  • Qualify new prospects and understand business requirements
  • Conduct web-based software demonstrations to highlight solution strengths and fit to potential client needs
  • Conduct in-person presentations with executive-level audiences
  • Maintain prospects and opportunities in Salesforce CRM to manage your pipeline
  • Collaborate with marketing to build custom materials for target market segments
  • Meet sales quotas provided by sales leadership
  • Provide prospect and customer feedback to improve product offering
  • Attend industry specific trade shows to build brand awareness and generate sales qualified opportunities
  • Build relationships and upsell opportunities with existing client base


  • At least 3 years of demonstrated success selling and building b2b relationships for a SaaS solution or similar technical product
  • Language skills: German and English bilingual required
  • Demonstrated success in building and developing a pipeline from cold leads
  • Demonstrated success in conducting engaging virtual and live tech platform demos to prospective clients
  • Proficient in Microsoft Office & CRM tools; Salesforce is a plus
  • Ability to travel

Principal Data Engineer


Emerald is seeking a Principal Data Engineer to join our Elastic group as part of the Data Engineering Team. The Data Engineering Team focuses on the software and data engineering related to the consuming and processing of ecommerce domain data into timely, trustworthy, accessible, and meaningful analytics schemas for the business to use to understand key metrics and perform analytics.


We reduce data redundancy by creating systems and datasets that serve as domain data products. We enable discovery and governance of our data, and we support key business goals. Specifically, we are growing our e-commerce customer base, understanding how customers use products, and enable data-driven growth and retention strategies.


To thrive in this role, you are excited about data and motivated to learn new technologies. You are comfortable collaborating with engineers from other teams, product owners, business teams, data analysts and data scientists. You own and shape your technical domain area and move the related business goals forward. You are eager to resolve upstream data issues at the source instead of applying workarounds. You analyze and test changes to our data architectures and processes and determine what the possible downstream effects and potential impacts to data consumers will be.

This position can be performed from any of our US-based offices or remotely from anywhere within the US.


Please note that we cannot accept candidates that require sponsorship for this position.


•  Overall delivery of the cloud data platform as well as its transformation efforts
• Contributions to the development and execution of the overall technical strategy 
• Providing technical direction on initiatives with significant bottom line impact
• Modernizing and simplify data pipelines and datasets by utilizing by industry best practices and advanced techniques
• Automating tasks such as end-to-end testing and report generation
• Prototyping and building transformation pipelines with tools such as Databricks, AWS Services, FiveTran, and other services in Cloud Platform using languages such as Python, Go & SQL


  • 10+ years of experience with large scale data warehousing, dimensional modelling, modern data architectures (data lake, delta lake) & BI. Experience with data bricks products is required
  • Proven and demonstrated technical leadership experience with building prototypes and scoping work into iterative development plan with definitions of done, acceptance criteria, etc.
  • Proven experience in Big Data technologies, Python & Apache Spark ecosystem or with Databricks products in designing streaming, self-healing & scalable ELT data pipelines architectures.
  • Proven experience in strong SQL background, Data Modeling, deep understanding of current cloud offerings (AWS preferred) and the ability to design effective data-as-a-service architectures. Experience with document databases (e.g., mongo dB) a plus
  • Proven experience with backend systems and software engineering. Programming experience in a relevant language, e.g. Python, Java
  • Proven experience working with cloud platforms like GCP or AWS