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Amplemarket
Afghanistan, Albania, Algeria, Andorra, Angola, Antarctica, Armenia, Austria, Azerbaijan, Bahrain, Belarus,… · remote · Salary not listed
It has come to our attention that there are fraudulent activities targeting job seekers, where individuals are impersonating Amplemarket by using fake profiles, domains, and emails.
Please be informed that Amplemarket always uses our main domain (amplemarket.com) for all hiring and recruitment purposes. Any communication or offer not originating from an amplemarket.com email address should be regarded as suspicious.
Amplemarket is not responsible for any loss or damage incurred as a result of job scams or fraudulent activity by third parties misusing our company name.
If you have any doubts about the legitimacy of a job opportunity with Amplemarket, please contact our HR department directly.
Apply on source siteListed via Himalayas
We advise you to verify the authenticity of any job-related communications claiming to be from Amplemarket. If you have any concerns or doubts, please contact us directly through our official channels.
Your security is our priority. Thank you for your vigilance and understanding.
Are you up for a challenge? Amplemarket welcomes spontaneous applications from talented people who are eager to join our team.
We are always on the lookout for exceptional Data Engineers who want to revolutionize the future of sales, while thriving in an incredible Engineering environment.
While we may not be prioritizing this opening at the moment - and, therefore, might take a bit longer to get back to you - we review spontaneous applications regularly and if your profile stands out, we’ll definitely want to get to know you 🙂
The three co-founders have an engineering background (João, Luís and Mica studied Physics & Computer Science in university) and deeply value the work that engineers are responsible for.
Our main goal is to build a sales platform that helps companies grow. Our product requires us to solve a myriad of difficult engineering problems very diverse in nature: from working on NLP models that can extract information from a thread of emails to scaling an Elasticsearch cluster holding terabytes of data.
We are deeply aware of the importance of our tool to our customers and look for people that share that vision.
In this role, you will be responsible for designing, building, and maintaining the infrastructure and processes necessary for the collection, storage, and analysis of large datasets. You will work closely with our development, product, and data teams to ensure that our data is accurate, reliable, and accessible to support business decision-making, machine learning models, and drive product innovation.
Originally posted on Himalayas