
501 - 1000 employees
📣 Marketing
Marketing
DoubleVerify is a leading software platform for digital media measurement and analytics. Its mission is to enhance the digital advertising ecosystem by ensuring transparency and accountability, while protecting brands from fraud and enhancing campaign quality. The company specializes in solutions for impression quality, audience quality, ad viewability, and brand safety, serving hundreds of Fortune 500 advertisers globally to maximize their digital advertising investments.
🕒 June 18
🇺🇸 United States – Remote
💵 $107k - $193k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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501 - 1000 employees
📣 Marketing
Marketing
DoubleVerify is a leading software platform for digital media measurement and analytics. Its mission is to enhance the digital advertising ecosystem by ensuring transparency and accountability, while protecting brands from fraud and enhancing campaign quality. The company specializes in solutions for impression quality, audience quality, ad viewability, and brand safety, serving hundreds of Fortune 500 advertisers globally to maximize their digital advertising investments.
• Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization. • Translate product requirements into AI-driven solutions that directly impact the client experience. • Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities. • Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes. • Design retrieval, orchestration, and memory layers that make our AI agents smarter over time. • Establish best practices for AI data quality, observability, and safety.
• 6+ years of experience in software engineering, data engineering, or large-scale distributed systems. • Hands-on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration). • Strong proficiency in Python and SQL. • Experience with Kubernetes and container-based infrastructure and deployment. • You think in systems: storage, retrieval, metadata, reliability, latency, failure modes. • Ability to work from ambiguity to execution — you're comfortable being the first to figure something out. • Strong communication skills: you can explain tradeoffs, scope decisions, and technical strategy clearly.
• eligible for bonus/commission (as applicable) • equity • benefits
Apply Now🕒 June 18
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