Software Engineer
US$154,000 – US$220,000 / yr base salary
Posted 16 Jun 2026
Advertised as “Senior Software Engineer, Measurement & Reporting”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- I
- Expected experience
- 5+ yrs
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$154,000 – US$220,000 / yr |
|---|
Field of studyComputer Science, Data Science, Engineering (or related)
Study levelBachelor's or higher
We require people to be on-site, 4 days/week at our Manhattan or Denver office and are unable to offer relocation support.
LG Ad Solutions
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
The Opportunity
We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution.
You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences.
If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you!
Responsibilities
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Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications.
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Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies.
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Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data.
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Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms.
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Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems.
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Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making.
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Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions.