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About the Role
Petra Labs is building the attribution and experimentation layer for AI search, enabling companies to understand and capitalize on the emerging AI search growth channel. We use large-scale simulations, agentic analysis, and deeply embedded integrations to turn AI search into a measurable channel.
Responsibilities
- Drive research on consumer LLM search behavior, staying on top of frontier AEO/GEO research, forming hypotheses, and testing them.
- Publish research findings.
- Support product and engineering teams with data analysis and experiments for key product decisions.
- Design and analyze experiments, including those where A/B tests are not feasible.
- Build data pipelines and recurring measurement systems to keep research live and integrate findings into the product.
Requirements
- Expertise in Python and SQL.
- Strong statistical and experimentation foundations, including experiment design, effect estimation, and evaluation metrics.
- Experience in early-stage, nebulous environments, balancing speed and rigor.
- Clear written and verbal communication skills.
- Ability to influence stakeholders with evidence.
Skills
- Python
- SQL
- Statistical analysis
- Experimentation
- Causal inference
- Data pipelines
- Research
Location
- SoHo, New York
Work Type
- Onsite
Experience Level
- Early-stage experience
About the Company
- Petra Labs is building the attribution and experimentation layer for AI search.
- We believe the future of commerce will be shaped by AI-driven information retrieval.
- Raised $5.2M in funding from Work-Bench, Pathlight, and Afore.
- We hire a small number of extremely talented people and give them as much ownership and autonomy as possible.
- We are truth-seeking, encouraging transparent, direct discourse and challenging existing beliefs.
- We work hard to build a generational company.