Replicant was founded on the belief that machines are ready to have useful, complex conversations that will transform the way they interact with the world, starting with customer service.

As the leader in Contact Center Automation, Replicant helps companies automate their most common customer service calls while empowering agents to focus on more complex and nuanced customer challenges. Replicant's AI platform allows consumers to engage in natural conversations across voice, messaging and other digital channels to resolve their customer support issues, without the wait, 24/7. We are now leading the way in using Large Language Models (LLMs) to transform customer service- again. 

If you're excited by AI, ChatGPT, LLMs and want to make an impact with other great technologists and strong go-to-market leaders, then look no further. We've grown our team by 3x, increased revenue by 4x, and were named a top enterprise AI company by The Information. We currently serve Fortune 500 customers, run millions of AI calls per month in production, and are increasing our footprint globally.

That’s where you come in! We’re looking for a Sr Data Engineer. We are strong proponents of data-driven decision making and are investing in processes and platform improvements to expose and make ready the metrics captured and generated in our systems. Your work will take you across different codebases adding instrumentation and pushing data into pipelines, to flow into the data warehouse where transformations will shape the data for analysis and visualizations.

What you'll do

• Work with team members across all engineering departments, to add instrumentation to existing and new codebases
• Create data pipelines using in-house and GCP tools, to asynchronously move large amounts of data in a maintainable and monitorable fashion
• Transform data in ELT processes, by using DBT to leverage the functionality of the database
• Perform data analysis and create visualizations and dashboards for parties across the company
• Assist in the management of resources and services like the data warehouse, dash boarding tools, and legacy ETL services

What you'll bring

• 2+ years of experience with application development in Python, Typescript or Javascript
• 5+ years of experience in a Software Engineering or Data Engineering role
• A strong understanding of analytical SQL and the knowledge of how to best use it with OLAP and OLTP data stores
• A post-secondary degree or diploma in Computer Science, Statistics, Informatics, Information Systems or another quantitative field or relevant experience
• Experience with cloud computing (AWS, GCP or Azure) and familiarity with cloud data warehouse platforms (Bigquery, Snowflake, Redshift, etc.)
• A solid understanding of data driven services in asynchronous environments
• A history of manipulating, processing and extracting value from large datasets
• A curiosity for exploratory data analysis and continuous learning
• The ability to work with people across the company


Nice To Haves
• Experience with Data Build Tools (DBT) as a transformational tool
• An understanding of Terraform for the allocation and management of cloud services

Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.

Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.

Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.