[Hiring] Staff AI/Data Engineer @Superside

Role Description

Superads is building AI agents that help marketers make better creative decisions — not by surfacing more data, but by actually reasoning through strategy on their behalf. The harder problem underneath that ambition is one we haven't fully solved yet: how do you build a system that understands a brand deeply enough that an AI can make meaningful decisions on its behalf? That's the problem you'll be working on.

What you'll do:

• Build the knowledge layer that sits underneath Superads' AI agents — the systems that give them genuine understanding of a brand rather than just access to its documents.
• Design how brand knowledge is represented, stored, and continuously updated: the structures that let an agent reason about a brand the way a senior strategist would, not just retrieve what's been written down.
• Develop agentic search capabilities — systems that let agents reason about what they don't know, identify knowledge gaps, and navigate information dynamically rather than relying on fixed retrieval pipelines.
• Evaluate and iterate on architectures for knowledge retrieval and reasoning, identifying where current approaches break down and driving more interesting solutions.
• Translate emerging AI research and patterns into production-ready systems that measurably improve output quality and reliability.
• Work closely with the product and AI engineering teams to ensure the knowledge layer directly improves what users experience — staying connected to product impact even when the work takes you deep into infrastructure.

Qualifications

• 8+ years in high-performance engineering environments — ideally at companies pushing the frontier of enterprise AI, legal AI, or knowledge-intensive agent systems.
• Proven experience building agentic workflows and RAG systems in production, with a focus on making AI output trustworthy and reliable — not just functional.
• Deep understanding of how language models represent and use knowledge, well beyond prompt engineering or standard retrieval patterns.
• Experience with LangChain or LangGraph (or equivalent) for building multi-agent systems; strong Python skills, ideally with FastAPI.
• Hands-on experience with a major cloud data platform — Snowflake, BigQuery, or Databricks — and comfort designing architectures that handle large data volumes reliably.
• Strong opinions about where current AI approaches break down, formed through real production experience rather than theory.
• Genuine curiosity about the brand intelligence problem — what it means to encode creative judgment, how you represent things that were never written down, how you know when a model's understanding is actually right.
• You take ownership of outcomes, communicate clearly when something isn't working, and follow the problem rather than your specialization.

Benefits

• Remote-first. Customer-led.
• Global team, local impact.
• High performance, low ego.
• Impact meets opportunity.
• Grow fast. Lead well.

Company Description

Superside is the leading AI-powered creative company that quickly and cost-effectively enhances in-house functions. We help over 500 ambitious brands get great creative concepts done at scale. Built to be an extension of in-house teams, we unbottleneck marketing and creative teams so they can move faster and drive more reliable creative performance.

Superside is a fully remote company with over 700 team members working across 60+ countries and 13 timezones.

Diversity, Equity and Inclusion: We’re an equal-opportunity company. All applicants will be considered regardless of ethnicity, appearance, religion, gender identity, sexual orientation, national origin, veteran or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.