Antenna Group

Operations

• Partner with our Commercial team to understand how our customers use Antenna data to inform critical business decisions – and design and build data solutions that allow them to do that with zero friction.
• Manage the end-to-end data product release, prioritizing tasks and project-managing cross-functional teams to ensure accurate, reliable, and on-time delivery of data to all internal and external stakeholders.
• Develop and deploy strategic product improvements that maximize both data quality and business impact.
• Build and optimize systems to proactively monitor data quality at each stage of the pipeline. Perform root cause analyses and find scalable solutions with minimal oversight.

Senior Data Operations Analyst

Platform Engineer

• Architect the “Next-Generation” Platform: Audit our current GCP pipeline and design the ‘next-generation’ blueprint for a modular, scalable data platform capable of supporting Antenna’s ambitious growth goals.
• Own the Stack: Act as the hands-on “chief designer” and technical authority for our modern data stack.
• Solve Complex Data Fusion: Design and systematize the architecture for complex, parallel data processing, including entity resolution and identity stitching.
• Implement Privacy-First Design: Architect platform to handle PII and security, designing Data Clean Room technologies and other privacy-preserving techniques.
• Bridge Data Science to Production: Partner with data science to translate advanced behavior modeling needs into performant, reliable production data models.
• Govern & Enable: Decompose your architecture into clear subsystems, data contracts, and development tasks, and enforce quality standards for a remote team.

Staff Data Platform Engineer

Backend Engineer

• Design, develop, test, and maintain strong and scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP)
• Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow
• Set up and manage MLOps practices, including automatic updates for machine learning models (CI/CD), model monitoring, and automated launch plans
• Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build)
• Work with data scientists to get machine learning models ready for production and connect them to our data systems
• Write detailed documents for the system designs, code, and systems you create and manage
• Fix complex technical problems in data systems that run on many computers and in ML pipelines

Data Science Engineer, Python

• Partner with our Commercial team to understand customer data usage
• Manage end-to-end data product release
• Develop and deploy strategic product improvements
• Build and optimize systems to monitor data quality
• Investigate anomalous data for quality validation
• Educate commercial stakeholders about data definitions
• Manage updates to QA tests and dashboards
• Investigate data restatements and coordinate fixes
• Present findings to customers on data quality issues
• Propose solutions for coverage feasibility

Data Operations Analyst

Product Manager

• Champion the “why” behind what we build, and drive a cross-functional team to deliver on the Antenna mission.
• Translate our company product strategy into an actionable roadmap that will define the future of data in the subscription economy.
• Own the day-to-day operations of and development of Antenna’s product roadmap.
• Partner with Antenna’s co-founders and commercial leaders to ensure we are aligned in meeting our business goals.
• Lead cross-functional leaders across all of Antenna’s product initiatives.
• Lead key strategic initiatives such as building a next-generation interface, improving data quality, expanding coverage area into new industries and geographies.

Senior Data Operations Analyst

Staff Data Platform Engineer

Data Science Engineer, Python

Data Operations Analyst

VP, Product Management