
51 - 200 employees
☁️ SaaS
💰 Seed Round on 2019-04
SaaS • Marketing
Swayable is a leading pre-market testing platform that helps brands, agencies, and campaigns enhance their marketing strategies through data-driven insights. By utilizing advanced statistical methods, including randomized controlled trials, Swayable provides robust data on messaging persuasion, measuring factors such as brand lift, purchase intent, and audience segmentation. Trusted by top brands like Airbnb, Paramount, and Amazon, Swayable enables users to test various media forms, including videos, packaging, and campaign messaging, providing actionable insights within 24 hours. Co-founded by PhDs James Slezak and Valerie Coffman, the company focuses on transforming marketing strategies by unlocking the power of persuasion through data science.
🕒 December 1, 2025
🏢🏡 New York City – Hybrid
💵 $175k - $250k / year
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
☁️ SaaS
💰 Seed Round on 2019-04
SaaS • Marketing
Swayable is a leading pre-market testing platform that helps brands, agencies, and campaigns enhance their marketing strategies through data-driven insights. By utilizing advanced statistical methods, including randomized controlled trials, Swayable provides robust data on messaging persuasion, measuring factors such as brand lift, purchase intent, and audience segmentation. Trusted by top brands like Airbnb, Paramount, and Amazon, Swayable enables users to test various media forms, including videos, packaging, and campaign messaging, providing actionable insights within 24 hours. Co-founded by PhDs James Slezak and Valerie Coffman, the company focuses on transforming marketing strategies by unlocking the power of persuasion through data science.
• Building, maintaining, and continuously improving our tools, techniques, and architecture for high-performance computing. • Working with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.
• 5+ years of professional experience building scientific or quantitative data-intensive software. • Expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning. • Excellent problem solving skills and attention to detail. • Expertise in architecting, maintaining, and optimizing distributed, parallel computing systems. • Keeping up with the constantly evolving toolset for ML and AI Ops. • Knowledgeable about software architecture and can design scalable, performant solutions. • Values code quality and writes maintainable, testable code.
Apply Now🕒 November 22, 2025
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