{"id":4341238,"url":"https://alion.io/job/clera-co-founder-cto-10","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":"2026-11-15T07:52:55Z"}},"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":"2026-11-15T17:14:59Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T18:29:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin an early-stage AI creative technology company as an equal, full-time co-founder and CTO. You will set the technical and research direction and build a platform that learns to evaluate and improve creative work using real-world feedback.\nWhat You'll Do\nOwn the 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 allocation policies that direct campaign budgets while informing data collection.\n\nMake technical decisions about frontier models, fine-tuning, post-training, reinforcement learning, and original research.\n\nBuild production infrastructure for creator workflows, campaigns, experimentation, training, and inference.\n\nSet 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\nSubstantial hands-on experience in research or post-training at a leading AI lab or comparable research organization, including training agents or working with reinforcement learning.\n\nPractical experience building preference or reward models, including RLHF, ranking subjective outputs, or evaluation systems.\n\nExperience shipping products or features used by people, plus building production ML infrastructure.\n\nBackground in causal inference on observational data, including selection bias, off-policy or counterfactual evaluation, and adaptive experimentation.\n\nExperience with ads, marketplace, recommender, or ranking systems tied to business outcomes, and learning from noisy, delayed, or subjective feedback.\n\nExperience owning model, evaluation, or infrastructure programs end to end and recruiting and leading technical teams.\n\nProduction experience with bandits or online experimentation, multimodal ML, agents, planning, or latent-variable modeling is valuable.\n\nWillingness to commit full-time to an early-stage co-founder role, with significant responsibility and uncertainty.\n\nCompensation & Benefits\nEquity is approximately 28% as an equal co-founder. Cash compensation is discussed based on circumstances and fit. 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