Staff Software Engineer, Ad Platform

Job Description

Xometry, a company that connects people with manufacturers, is seeking a Staff Software Engineer to lead the design and development of Thomasnet’s next-generation advertising platform. The engineer will enhance how industrial suppliers showcase their products and services.

Responsibilities:

• Lead the architecture and design of Thomasnet’s ad platform, focusing on scalability, efficiency, and reliability.
• Define system interfaces, APIs, and integrations with third-party tools.
• Set technical direction and help establish best practices across the engineer teams.
• Design mechanisms for targeted ad delivery, real-time auction systems, and dynamic budget optimization.
• Integrate machine learning models to enhance audience segmentation, campaign performance, and predictive analytics.
• Ensure platform compliance with privacy regulations such as GDPR and CCPA.
• Implement rigorous data security measures to safeguard user and advertiser data.
• Build systems capable of handling millions of daily ad impressions and clicks.
• Continuously optimize platform performance through monitoring, analytics, and feedback loops.

Requirements:

• 8+ years of experience in software engineering, with at least 3 years in ad platform development or related fields.
• Strong technical expertise with programming languages like Typescript, Java, Scala or Python.
• Proficiency with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with search related technologies such as OpenSearch.
• Familiarity with ad tech tools and standards, including DSPs, SSPs, RTB protocols, and ad-serving technologies.
• Experience and knowledge of sound software application and system level design & architecture.
• Proven experience in leading cross-functional teams and influencing stakeholders.
• Ability to communicate complex technical concepts to non-technical audiences.

The role offers:

• Opportunity to work on a next-generation advertising platform.
• Chance to integrate cutting-edge technologies like AI-driven recommendations, advanced analytics, and real-time bidding systems.