Software Engineer, Data Products
About The Position
As a Software Engineer, you will help build an intelligent execution layer that redefines how ad sales operates. This is not a traditional application role. You will develop systems that sit above core platforms, using AI, ML, and data to drive smarter decisions, automation, and measurable revenue lift. You will work on a greenfield problem space, designing how agents, models, and services interact to power workflows across planning, optimization, and activation. This includes building abstraction layers on top of system-of-record data and enabling flexible, AI-driven applications that evolve with the business. You will operate in a distributed, multi-cloud environment including AWS, GCP, and Databricks, contributing to systems that are both experimental and production-critical.
Requirements
- Strong foundation in software engineering and distributed system design.
- Experience building data-driven or ML-powered applications in production environments.
- Familiarity with modern AI systems, including LLMs and retrieval-based architectures.
- Experience designing APIs and working within service-oriented or microservices architectures.
- Comfort working with cloud infrastructure such as AWS, GCP, or Databricks and data pipelines.
- Ability to move between ambiguity and execution, building with both speed and intent.
- Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.
Nice To Haves
- Experience with agent orchestration or workflow frameworks.
- Familiarity with vector databases and retrieval systems.
- Exposure to decisioning systems, optimization problems, or revenue-focused platforms.
- Proficiency in Python, Java, or similar languages.
- Experience with CI/CD and infrastructure-as-code.
Responsibilities
- Build intelligent systems that connect data, models, and services into cohesive workflows.
- Develop orchestration layers that enable agent-driven automation and decisioning.
- Design APIs and services that expose data and intelligence in flexible, reusable ways.
- Rapidly prototype new ideas and translate them into production-grade systems.
- Work closely with product and business partners to identify high-leverage opportunities.
- Continuously improve system performance, scalability, and adaptability.
Benefits
- medical/dental/vision
- insurance
- a 401(k) plan
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
