About Coframe

At Coframe, we are building a future where user and agent interfaces can adapt, evolve, and personalize themselves. We are generating revenue, growing rapidly, and trusted by companies you definitely know.

Coframe is a primarily in-person company based in San Francisco, well-capitalized with backing from Khosla Ventures, Nat Friedman, the founder of Android, and others. Our team is small and talent-dense, consisting of competitive programmers, former founders (including our founder who previously co-founded a unicorn), and AI researchers from top institutions who have created some of the most popular open-source code generation projects.

About the role

As an Applied Scientist focused on experimentation, you’ll build the intelligence that determines what to test, how to measure impact, and which experiences to ship. You’ll develop an opinionated yet flexible experimentation and analytics platform that powers decision-making across every Coframe product line.

Your work will help Coframe extract reliable signals from noisy behavioral data, measure long-term business impact, and continuously optimize customer outcomes with less human intervention.

You’re a great fit if you have

A strong background in statistics, causal inference, machine learning, experimentation, or a related quantitative field

Experience designing, building, or significantly evolving large-scale online experimentation platforms

Deep knowledge of experimentation design, statistical methodology, and common measurement pitfalls

Experience with Bayesian methods, reinforcement learning, contextual multi-armed bandits, or online decision systems

Experience modeling delayed outcomes, long-term value, proxy metrics, and incremental lift

Strong software engineering fundamentals and experience building reliable production systems

The ability to translate product and business problems into rigorous statistical and machine learning approaches

Strong product judgment and the ability to connect technical models with customer needs and mental models

Experience building personalization, ranking, recommendation, optimization, or allocation systems

The ability to communicate complex technical concepts clearly to technical and non-technical stakeholders

A pragmatic approach to applied research and a focus on solving real customer problems rather than optimizing in isolation

A track record of staying current with developments in experimentation, causal inference, and decision science

What you’ll do

Build experimentation frameworks that power every product line across Coframe

Develop statistical models for measuring incremental lift, confidence, and long-term business impact

Create decision engines that automatically start, stop, ramp, and optimize experiments

Design systems that balance exploration and exploitation throughout the experiment lifecycle

Build personalization and optimization algorithms that maximize conversion, engagement, revenue, and other customer outcomes

Develop simulation and evaluation frameworks for experimentation and online decision systems

Build analytics pipelines that transform large-scale behavioral data into actionable insights

Develop causal inference and measurement frameworks for noisy, delayed, and incomplete feedback

Model long-term value, proxy metrics, and delayed rewards

Identify opportunities for automated performance gains across customer programs

Analyze existing systems and translate findings into measurable product improvements

Build a unified optimization system that operates across multiple Coframe product lines

Work closely with engineering, product, and customer-facing teams to ensure statistical methods reflect real-world requirements

Benefits

Flexible (Unlimited) Paid Time Off

Medical, Dental, and Vision benefits for you and your family

Life Insurance and Disability Benefits

401k Plan with Coframe match

Meals covered in-office

Gym membership

Why Coframe

Elite Team: Our founder is a serial entrepreneur who previously co-founded a $2B+ unicorn with Tom Brady and guest lectures AI at Stanford. Our team includes researchers from top institutions who created some of the world's most popular open-source code generation projects.