Rockerbox is building the next generation of marketing intelligence, & were looking for someone to help us build the AI systems everyone else just theorizes about. As a Staff AI Data Engineer, youll research, design, & architect data systems purpose-built for AI agents, automations, & decisioning engines. Youll also apply data science & model-tuning techniques to optimize LLMs & solve complex marketing challenges for our clients.

If you enjoy turning high-volume data into clean, powerful systemsand you want your work to drive real business outcomes rather than just dashboardsthis role puts you right at the center of the action.

What Youll Do

• Apply bleeding edge AI theory to the design & implementation of large-scale data systems that feed AI agents & autonomous workflows.

• Use data science techniques to fine-tune, evaluate, & optimize LLMs for marketing-specific tasks: attribution insights, anomaly detection, summarization, classification, & automated recommendations.

• Build end-to-end automations using LLMs, internal data, & external signals to eliminate repetitive human tasks.

• Build AI-driven automations that reduce manual work across Rockerbox & unlock new client-facing capabilities.

• Design retrieval, orchestration, & memory layers that make our AI agents smarter over time.

• Establish best practices for AI data quality, observability, experiments, & safety.

• Lead R&D initiatives: rapid prototyping, experimentation, model evaluations, & productionization.

• Mentor data scientists & engineers across organization to raise the bar on LLM use company-wide.
   

What You Bring

• 8+ years of experience in data engineering, AI, ML platforms, or large-scale distributed systems.

• Hands-on experience integrating LLMs into production systems (OpenAI, fine-tuning, embeddings, RAG, vector stores, or custom agent orchestration).

• Strong understanding of experimentation, model evaluation, & performance tuning.

• You think in systems: storage, retrieval, metadata, reliability, latency, failure modes.

• Ability to work from ambiguity to execution youre comfortable being the first to figure something out.

• Strong communication skills: you can explain tradeoffs, scope decisions, & technical strategy clearly.
   

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$128,000 - $230,000]. This role will also be eligible for bonus/commission (as applicable), equity, & benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, & recognize that the person we hire may be more or less experienced than this job description as posted.

Why Youll Love Rockerbox: At Rockerbox, youll find a fast-paced, results-driven environment where your work has a direct impact on our growth & the success of our clients. Our iterative development process means youll see your contributions come to life quickly. Youll join a supportive, light-hearted team that values collaboration & innovation. We are committed to professional growth & will actively support your development in both technical & business domains.
 

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women & other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but youre not sure that you check every box, apply anyway!