Co-Founder & CTO

About the Role

Join an early-stage AI marketing technology company as an equal technical co-founder, owning research strategy, product development, and team building. You will build a training and evaluation platform for creative AI, using data from a live product to improve how creative work is generated and assessed.

What You'll Do

• Set technical and research strategy, advancing current workflows into a proprietary training and evaluation platform.
• Build data infrastructure connecting briefs, submissions, generation traces, decisions, critiques, and campaign outcomes.
• Develop systems to evaluate, rank, critique, generate, and improve creative work.
• Design allocation policies that direct campaign budgets and inform dataset collection.
• Make decisions about frontier models, fine-tuning, post-training, reinforcement learning, and original research.
• Build reliable infrastructure for creator workflows, campaigns, experimentation, training, and inference.
• Establish standards for data quality, consent, privacy, measurement, and model evaluation.
• Recruit and lead the initial engineering and research team, and work directly with creators and brands.

What We're Looking For

• Hands-on research or post-training experience at a leading AI research organization, with experience building preference or reward models, RLHF, ranking, or evaluation systems.
• Practical reinforcement learning or agent-training experience, plus production ML infrastructure experience.
• Experience shipping products or features used by people and owning a model, evaluation, or infrastructure program end to end.
• Background in causal inference with observational data, including selection bias, off-policy or counterfactual evaluation, and adaptive experimentation.
• Experience with noisy, delayed, or subjective outcomes and ads, marketplace, recommender, or ranking systems tied to business results.
• Strong technical recruiting and team leadership experience. Bandits, sequential allocation, multimodal AI, planning, and latent-variable modeling are valuable.
• Willingness to work full time, in person, with the commitment and uncertainty of an early-stage co-founder. A specific years-of-experience requirement was not provided.

Compensation & Benefits

Approximately 28% co-founder equity. Cash compensation is discussed based on circumstances and fit. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.