--- title: 'Applied Scientist, Experimentation at Coframe' canonical: 'https://feeny.ai/job/applied-scientist-experimentation-coframe-san-francisco-9a0cccbtqndq' type: 'job' last_seen: '2026-09-09' --- # Applied Scientist, Experimentation at Coframe - **Company:** Coframe - **Location:** San Francisco, CA - **Compensation:** $180k–$300k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-04-20 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/coframe/828ec154-4ccb-4766-8d3f-9e34e665ee50 ## Job description ## 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 “You guys are insane.” - OpenAI team “Coframe makes you feel like you have a team of 100 people.” - Replit team Coframe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. ## About Coframe ## Company Overview - **One-liner**: Coframe operates an AI platform that autonomously generates, personalizes, and tests website variations—code, copy, and visuals—to continuously optimize conversion rates and growth. - **Entity Type**: Private (Seed stage) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Not publicly disclosed on company materials or major databases ## Core Business - **Primary industry**: AI-powered Conversion Rate Optimization (CRO) & Website Personalization - **Target customers**: B2B; Growth, Marketing, and Product teams at mid-market and enterprise companies - **Mission or purpose statement**: To create a future where user interfaces can adapt, evolve, and personalize themselves, giving the internet its own sense of life and intelligence [coframe.com](https://www.coframe.com/) ## Products & Services - **Coframe Platform (AI Growth Agent)**: A managed AI platform that deploys, personalizes, and tracks lift across website copy, visuals, UI layouts, and code. Works autonomously or integrates with existing stacks, allowing teams to approve experiments within hours instead of weeks. Generates variants, runs A/B tests, and provides insights—all without requiring engineering resources [coframe.com](https://www.coframe.com/). ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total Funding of **$9.3M – $9.55M** across two Seed rounds (Seed in Oct 2023, Seed VC-II in Oct 2024) [cbinsights.com](https://www.cbinsights.com/company/coframe) - **Notable Investors/Partners**: Lead investors include **Nat Friedman** and **Khosla Ventures** (Seed VC-II, Oct 2024). Other backers include a total of 17 investors in that round [linkedin.com](https://www.linkedin.com/company/coframe-ai) - **Growth Signals**: - Acquired HaystacksAI in 2025, appointing CEO **Bo Mohazzabi** as VP of GTM to accelerate the Autonomous Growth Agent [coframe.com](https://www.coframe.com/careers) - Headcount grew **59.1% YoY** to approximately 30 employees [linkedin.com](https://www.linkedin.com/company/coframe-ai) - LinkedIn followers grew **75.3%** year-over-year to ~4,878 [linkedin.com](https://www.linkedin.com/company/coframe-ai) - SOC 2 Type II certified [coframe.com](https://www.coframe.com/) - 22 active job postings (monthly growth of +214.3%) [linkedin.com](https://www.linkedin.com/company/coframe-ai) ## Competitive Advantages - **Velocity of Experimentation**: Replaces a manual weeks-long process of design, build, QA, and deployment with an automated review-and-approve cycle that delivers experiments in hours [coframe.com](https://www.coframe.com/) - **Full-Stack Automation**: Generates and tests code, copy, and images simultaneously—beyond typical headline-only A/B testing tools - **Built for Scale**: Includes automatic fallbacks for AI-generated content, guaranteed human approval gates, and enterprise-grade security (SOC 2 Type II) - **AI-Native Approach**: Described as an "Autonomous Growth Agent" designed for an era of agentic transformation, differentiating from traditional SaaS CRO tools and CRO agencies ## Strategic Focus - **Agentic Growth**: Transitioning from a platform that requires human-set experiments to an autonomous agent that continuously learns and optimizes 24/7 without ongoing manual input - **Platform Integration**: Deepening integrations via the HaystacksAI acquisition to slot seamlessly into existing marketing and engineering stacks - **GTM Acceleration**: Scaling the go-to-market organization (hiring Account Executives, Growth Strategists, Customer Success) under new VP of GTM Bo Mohazzabi - **Multimodal AI**: Training models that understand both user behavior and business goals to enable self-improving interfaces ## Why Work Here - **Small, Talent-Dense Team**: Currently ~30 people, described as a "small, talent-dense team solving fundamental problems in AI and product" [coframe.com](https://www.coframe.com/careers) - **High-Impact Engineering**: Opportunities to "push the limits of what generative AI can achieve" in a field with very few comparable products - **Rapid Growth Trajectory**: Doubling headcount year-over-year, backed by top-tier investors (Khosla Ventures, Nat Friedman), with acquisition activity signaling aggressive expansion - **Core Values**: Emphasis on **Growth**, **Velocity**, and **Push the Limits of AI** [coframe.com](https://www.coframe.com/careers) - **Work Arrangement**: Roles listed as "Bay Area (United States)" and "Remote (PT timezone)" – hybrid likely for local roles [jobs.ashbyhq.com](https://jobs.ashbyhq.com/coframe) - **Culture**: "We envision a future where user interfaces can adapt, evolve, and personalize themselves" – mission-driven, forward-looking product culture for those excited about AI agents - **Notable Perks**: SOC 2 Type II certified implies strong security posture; remote flexibility for specific roles ## Sources 1. [coframe.com](https://www.coframe.com/) 2. [coframe.com/careers](https://www.coframe.com/careers) 3. [linkedin.com/company/coframe-ai](https://www.linkedin.com/company/coframe-ai) 4. [cbinsights.com/company/coframe](https://www.cbinsights.com/company/coframe) 5. 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