Jobs · Engineering · California

Forward Deployed Engineer

Curium · San Francisco, CA · 2 wk ago
On-siteEngineering$180k–$220k/yrFull-time

San Francisco. In person.

Curium is the enterprise platform for brands to win AI search. Founded by the Princeton team that invented and coined GEO (Generative Engine Optimization), we combine proprietary reinforcement-learning models with a turn-key content optimization platform. Our customers range from household-name consumer brands and a major internet media company to one of the largest US sportsbooks, fast-growing fintechs, and category leaders in energy, education, and real estate. Backed by General Catalyst, the ex-CTO of OpenAI, and the CEO of Intel. The team Curium was founded by the Princeton researchers who defined GEO. Co-founder Ameet Deshpande, an Olympiad medalist, went from IIT Madras to a PhD at Princeton. Co-founder Karthik Narasimhan is a Princeton professor whose work includes OpenAI's original GPT paper, ReAct, and SWE-bench, and co-founder Vishvak Murahari came up through Princeton and Google DeepMind. They're joined by engineers from Apple, MIT, and UC Berkeley. We're a small team in San Francisco where everyone writes code, talks to customers, and ships.

What We've Built Search is moving from ten blue links to one generated answer. Generative engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews retrieve sources, synthesize them, and decide which brands get cited, recommended, and described, and how. That process is a black box. It's non-deterministic, and it shifts with every model update. SEO tools were built to rank pages against a known algorithm, and they have no model of how an LLM reasons about a brand. We treat GEO as an optimization problem. Curium continuously probes AI engines across the queries that matter to a brand and measures visibility: whether the brand is cited, where it appears in the answer, and how it's described. On top of that, we built proprietary reinforcement learning algorithms that learn which changes to a brand's content, structure, and data actually move those answers, using measured visibility in the engines as the reward signal. The system proposes a change, we ship it, the engines respond, and the

Similar jobs