Co-Founder & CTO

Clera

San Francisco, CA

On-site

Who this role is best for

Best suited to technically accomplished individuals with a background in AI and advertising technology working in San Francisco.

Best fit for

Candidates with experience in building AI evaluation systems and preference models for advertising
— “at least 3 years of relevant experience and hands-on experience building preference or reward models”
Professionals with a strong grasp of causal inference and adaptive experimentation
— “Background in causal inference on observational data, such as selection bias, off-policy or counterfactual evaluation, and adaptive experimentation.”

Things to consider

The role requires a full-time commitment with an expected 6 to 7 days per week
— “commit full time to an early-stage co-founder role, with an expected 6 to 7 days per week.”
The position is based in San Francisco and requires on-site presence
— “On-site in San Francisco, California, United States.”

How to stand out

Highlight end-to-end experience with ML systems and data pipelines in your resume and interviews
— “Experience shipping production products, building production ML infrastructure, and owning a model, evaluation, or infrastructure program end to end.”
Demonstrate leadership in building and managing technical teams as a key differentiator
— “Recruit and lead the first engineering and research team, while working directly with creators and brands.”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

set technical and research strategy
build data infrastructure
develop systems to evaluate, rank, critique, generate, and improve creative work
design allocation policies
make decisions about frontier models

Typical background

AImachine learningdata science

Skills & requirements

Required

AI Advertising TechnologyTechnical And Research LeadershipData InfrastructureEvaluation SystemsCausal InferencePythonProduction Machine LearningBanditsSequential AllocationOnline ExperimentationMultimodal SystemsAgentsRecruitment And Leadership

Preferred

Creative WorkflowsTraining And Evaluation PlatformCampaign BudgetsData QualityConsentPrivacyMeasurementModel Evaluation

Stack & domain

AI Advertising TechnologyCreative WorkflowsData InfrastructureEvaluation SystemsCausal InferenceAdsMarketplacesRecommendation SystemsRanking SystemsPythonProduction Machine LearningBanditsSequential AllocationOnline ExperimentationMultimodal SystemsAgentsLeadershipRecruitmentTeam BuildingTechnical TalentCommitmentStrategic ThinkingInnovationAIAdvertisingCreative IndustryData ScienceMachine Learning

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join the founding team of a creative AI advertising technology company as its technical and research leader. You will shape the technical direction and build a proprietary platform for training and evaluating AI systems that create and improve advertising content, informed by real creator and campaign data.
WHAT YOU'LL DO
Set technical and research strategy, taking existing creative workflows toward a proprietary training and evaluation platform.
Build data infrastructure connecting briefs, submissions, generation traces, human decisions, critique, and campaign outcomes.
Develop systems to evaluate, rank, critique, generate, and improve creative work.
Design allocation policies for campaign budgets that also support useful data collection.
Make decisions about frontier models, fine-tuning, post-training, reinforcement learning, and original research.
Build reliable infrastructure for creator workflows, campaigns, experimentation, model training, and inference.
Set standards for data quality, consent, privacy, measurement, and model evaluation.
Recruit and lead the first engineering and research team, while working directly with creators and brands.
WHAT WE'RE LOOKING FOR
At least 3 years of relevant experience and hands-on experience building preference or reward models, including RLHF, ranking subjective outputs, or evaluation systems.
Experience shipping production products, building production ML infrastructure, and owning a model, evaluation, or infrastructure program end to end.
Background in causal inference on observational data, such as selection bias, off-policy or counterfactual evaluation, and adaptive experimentation.
Experience with ads, marketplaces, recommenders, or ranking systems tied to business outcomes, including noisy or delayed feedback.
Strong skills in Python and production machine learning; experience with bandits, sequential allocation, online experimentation, multimodal systems, or agents is valuable.
Ability to recruit and lead technical talent and commit full time to an early-stage co-founder role, with an expected 6 to 7 days per week.
COMPENSATION & BENEFITS
Equity is approximately 28 percent 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.

Source: Clera careers (Ashby)