Co-Founder & CTO

Clera

• $160K — $200K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3 to 20 years of relevant experience in AI and machine learning
  • Hands-on experience with preference or reward models, RLHF, and evaluation systems
  • Proven track record of shipping products tied to business outcomes
  • Strong proficiency in Python and production ML infrastructure
  • Experience with causal inference and adaptive experimentation
  • Background in handling noisy or subjective outcomes and multimodal systems
  • Demonstrated ability to recruit and lead technical teams

Responsibilities

  • Set the technical and research strategy for the company
  • Build data infrastructure for creative workflows and outcomes
  • Develop systems for evaluating and improving creative work
  • Design budget allocation policies for campaigns
  • Make decisions on advanced models and original research
  • Establish reliable production infrastructure for creative processes
  • Set standards for data quality, privacy, and model evaluation
  • Recruit and lead the engineering and research team

Benefits

  • Approximately 28% equity as an equal co-founder
  • Opportunity to shape the technical direction of a pioneering company
  • Work directly with creators and brands in a creative environment
  • Engage in cutting-edge research and development
  • Be part of an early-stage startup with significant growth potential
Full Job Description
About the Role

Join an AI-powered creative advertising company as a full-time technical co-founder and own its technical and research direction. You will develop a proprietary platform for training and evaluating creative AI, building on existing product workflows and real-world feedback.
What You'll Do
  • Set technical and research strategy, from current workflows through the development of a training and evaluation platform.
  • Build data infrastructure connecting creative briefs, submissions, generation traces, decisions, critique, and campaign outcomes.
  • Develop systems to evaluate, rank, critique, generate, and improve creative work.
  • Design allocation policies that direct campaign budgets and support useful data collection.
  • Make decisions about frontier models, fine-tuning, post-training, reinforcement learning, and original research.
  • Build reliable production infrastructure for creative workflows, experimentation, training, and inference.
  • Set standards for data quality, consent, privacy, measurement, and model evaluation.
  • Recruit and lead the first engineering and research team, and work directly with creators and brands.
What We're Looking For
  • Typically 3 to 20 years of relevant experience, with hands-on experience building preference or reward models, RLHF, ranking, or evaluation systems.
  • Experience applying causal inference to observational data, including selection bias, counterfactual or off-policy evaluation, and adaptive experimentation.
  • Have shipped products or features used by people and worked on production ML tied to business outcomes, such as ads, marketplaces, recommenders, or ranking.
  • Strong Python and production ML infrastructure experience, plus ownership of a model, evaluation, or infrastructure program end to end.
  • Experience with noisy, delayed, or subjective outcomes; bandits, sequential allocation, multimodal systems, or agents is valued.
  • Track record recruiting and leading technical talent, and willingness to commit full-time as an equal co-founder in an early-stage environment.
Compensation & Benefits

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

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

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