{"id":3946202,"url":"https://alion.io/job/clera-co-founder-cto-9","title":"Co-Founder & CTO","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"cofounder","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLHF","optional":false}],"status":"live","first_seen_at":"2026-11-08T17:16:34Z","employer_posted_date":"2026-11-08","last_verified_at":"2026-11-10T12:18:30Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin 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.\nWhat You'll Do\nSet technical and research strategy, advancing current workflows into a proprietary training and evaluation platform.\n\nBuild data infrastructure connecting briefs, submissions, generation traces, decisions, critiques, and campaign outcomes.\n\nDevelop systems to evaluate, rank, critique, generate, and improve creative work.\n\nDesign allocation policies that direct campaign budgets and inform dataset collection.\n\nMake decisions about frontier models, fine-tuning, post-training, reinforcement learning, and original research.\n\nBuild reliable infrastructure for creator workflows, campaigns, experimentation, training, and inference.\n\nEstablish standards for data quality, consent, privacy, measurement, and model evaluation.\n\nRecruit and lead the initial engineering and research team, and work directly with creators and brands.\n\nWhat We're Looking For\nHands-on research or post-training experience at a leading AI research organization, with experience building preference or reward models, RLHF, ranking, or evaluation systems.\n\nPractical reinforcement learning or agent-training experience, plus production ML infrastructure experience.\n\nExperience shipping products or features used by people and owning a model, evaluation, or infrastructure program end to end.\n\nBackground in causal inference with observational data, including selection bias, off-policy or counterfactual evaluation, and adaptive experimentation.\n\nExperience with noisy, delayed, or subjective outcomes and ads, marketplace, recommender, or ranking systems tied to business results.\n\nStrong technical recruiting and team leadership experience. Bandits, sequential allocation, multimodal AI, planning, and latent-variable modeling are valuable.\n\nWillingness 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.\n\nCompensation & Benefits\nApproximately 28% co-founder equity. Cash compensation is discussed based on circumstances and fit. 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