What is Amplemarket all about?
Amplemarket's premise is that a lot of the playbooks used by B2B sales teams that worked 5 years ago don't cut it anymore.
In today's environment, sales teams need to have a tremendous amount of information about their prospects to decide when is the best moment and channel to reach out in the most relevant way. You can't do this with 5 different data/sales enablement point solutions that don't share the same data schema and barely communicate with each other. Amplemarket is the all-in-one compound solution that enables this.
Our AI-powered sales platform helps B2B companies generate more opportunities thanks to our advanced lead generation engine, hyper-personalized sequencing, omnichannel outreach, and AI-powered smart actions. We are backed by Y Combinator, and we are powering the sales teams at some of the fastest-growing companies in the world like Deel, Moveworks, H1 and Vanta.
 

About the Engineering Team

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.

 

We are seeking a highly motivated and experienced Data Engineer to join our growing startup as we build out our data stack.

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.

You will:
  • Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources
  • Develop and maintain data models and schema to support data analysis and reporting
  • Write and maintain ETL jobs to extract, transform, and load data into our data warehouse
  • Collaborate with ML engineers, data analysts, and other stakeholders to understand data requirements and develop solutions to support data-driven decision-making
  • Monitor and optimize data pipelines and processes to ensure data quality and performance

About you:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  • 3+ years of experience as a Data Engineer or similar role
  • Strong programming skills in Python, Java, or a similar language
  • Experience with SQL and data modeling concepts
  • Experience with cloud-based data warehousing solutions such as Redshift, BigQuery, or similar
  • Experience with ETL tools such as Spark, Flink, Databricks, Snowflake, etc.
  • Experience with messaging systems such as RabbitMQ, Kafka, etc.
  • Knowledge of the underlying cloud infrastructure on how the various data pipeline component fit together
  • Excellent problem-solving and communication skills

Some more about Amplemarket:

  • We are profitable and we just raised $12M in back-to-back seed and Series A funding
  • Backed by YCombinator
  • Strong technical founding team from MIT and IST (also founders of https://fermatslibrary.com/)
  • Fast growing startup with product market fit
  • Great team spirit
 
We offer:
  • Nice work environment
  • Competitive Salary
  • Health Insurance
  • Stock Options
  • Annual Company Trip in a secret location
  • and more

 


 
Amplemarket is committed to creating an inclusive employee experience for all.
Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that what truly matters is how your skills, knowledge and personality fit our company. So bring your best professional version of yourself, and apply - we'd like to hear from you!

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