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.