# Member of Technical Staff — Research, Operations & Decision Science at Causal

- Company: Causal
- What the company does: Backed by Accel.
- Company website: https://www.causal.app/
- Type: Startups
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-07-20
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/causal/84df5ed7-325a-4e75-bd20-db6e2f4f7e07
- Page: https://www.1752.vc/careers/jobs/causal-member-of-technical-staff-research-operations-and-decision-science/

## About the role

Formulate the objectives, constraints, and decision problems that our reasoning models optimize toward Develop methodology for evaluating decision quality under uncertainty, including counterfactual reasoning about outcomes

## What they're looking for

- We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains
- Deep expertise in operations research, decision science, or a closely related field (typically a PhD or equivalent experience)
- Strong grasp of optimization and decision-making under uncertainty, ideally including stochastic methods
- Experience in high-stakes operational settings where forecasts drive consequential decisions
- Particular strength in evaluating the quality of optimization or decision models, not just building them
- Ability to collaborate closely with ML researchers and translate operational realities into technical problems

Tags: Research