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.