Remote Data Engineer - RevOps & Finance

Description:

• The role is for a Data Engineer focused on supporting analytics within RevOps and Finance teams.
• The position is remote and can be executed globally, with options to work from offices in New York, London, and Warsaw.
• Responsibilities include designing and building data pipelines, ensuring data quality and integrity, developing data models, automating reporting processes, and documenting processes and methodologies.
• The candidate will develop robust ETL processes to integrate data from various sources such as CRM, ERP, marketing platforms, and financial systems.
• The role requires implementing automated data validation and cleansing processes to maintain high-quality datasets.
• The Data Engineer will create and maintain data models that drive key performance indicators for revenue operations and finance.
• Streamlining regular reporting tasks through automation is also a key responsibility.

Requirements:

• Candidates should have a track record of partnering with RevOps and Finance teams to translate business challenges into data-driven solutions.
• Proficiency with tools across the modern data stack, including Python, SQL, BI tools, and dbt, is required.
• Familiarity with Salesforce, Gong, Stripe, and Netsuite APIs is considered a nice to have.
• The ideal candidate should be passionate about audio AI and motivated by human impact.
• A strong work ethic and a commitment to excellence are essential.
• Candidates should be analytical, efficient, and capable of solving complex challenges with a first principles mindset.
• The ability to take initiative and work autonomously from day one is necessary.

Benefits:

• The company offers high-velocity innovation with rapid experimentation, lean autonomous teams, and minimal bureaucracy.
• Employees will be part of a truly global team, collaborating with teammates across 30+ countries and participating in an annual company offsite.
• The position is remote-first, prioritizing talent over location, with structured asynchronous workflows for maximum impact.
• Continuous growth opportunities are available, allowing collaboration with AI leaders and the ability to shape one's career path.