{"id":3590645,"url":"https://alion.io/job/clera-co-founder-cto-8","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":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-06T05:58:05Z"}},"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":{"min_usd":255000,"max_usd":479000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"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":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLHF","optional":false}],"status":"live","first_seen_at":"2026-11-01T17:04:15Z","employer_posted_date":"2026-11-01","last_verified_at":"2026-11-06T14:17:53Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the Role\nJoin an early-stage creative AI and advertising company as a full-time technical co-founder and CTO. You will shape technical and research strategy, build a platform that learns from creative workflows and outcomes, and lead the initial engineering and research team.\nWhat You'll Do\nSet technical and research strategy, evolving existing workflows into a proprietary training and evaluation platform.\n\nBuild data infrastructure connecting creative briefs, submissions, generation traces, decisions, critiques, and campaign outcomes.\n\nDevelop systems to evaluate, rank, critique, generate, and improve creative work.\n\nDesign budget allocation policies that guide campaigns and support useful data collection.\n\nChoose approaches across 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 first engineering and research team, working directly with creators and brands.\n\nWhat We're Looking For\nSubstantial experience in AI research or post-training, including hands-on preference or reward modeling, RLHF, reinforcement learning, or evaluation of subjective outputs.\n\nExperience shipping products or features used by people, and owning a model, evaluation, or infrastructure program end to end.\n\nStrong background in causal inference with observational data, including selection bias, counterfactual or off-policy evaluation, and adaptive experimentation.\n\nExperience with production ML infrastructure and ads, marketplace, recommender, or ranking systems tied to business outcomes.\n\nComfort learning from noisy, delayed, or subjective outcomes and a record of recruiting and leading technical talent.\n\nExperience with Python and relevant areas such as bandits, sequential allocation, online experimentation, multimodal ML, agents, planning, or hierarchical modeling is valuable.\n\nWillingness to commit full-time, work on-site in San Francisco, and take equal co-founder responsibility in an early-stage environment.\n\nCompensation & Benefits\nEquity is approximately 28% as a co-founder. Cash compensation is discussed based on circumstances and fit. 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