MindHat LLC Senior Sofware Engineer : : A/B Testing+ Behavioral Analytics Remote · Full time Company website

Apply for Senior Sofware Engineer : : A/B Testing+ Behavioral Analytics

We are an innovative IT company that specializes in Cloud technology, AI and machine learning technologies. Our team of experts has years of experience in developing cutting-edge solutions for businesses of all sizes. We offer a range of services, including natural language processing, predictive analytics, and computer vision. We are partners with IBM, Microsoft and RedHat to provide premium services to our customers. At MindHat, we are passionate about pushing the boundaries of technology and helping our clients stay ahead of the curve.

Experimentation & Conversion Optimization Role Build systems that track user behavior and run large-scale A/B / multivariate experiments to improve landing page conversion for high-volume traffic. Focused on building experimentation pipelines, A/B testing frameworks, and behavioral analytics systems using tools like PostHog and GrowthBook in a coding-first capacity.

Responsibilities 

• Implement event tracking and behavioral analytics (clicks, scroll, session replay) 

• Build and maintain experimentation pipelines (A/B tests, variant routing) 

• Integrate tools like PostHog or GrowthBook 

• Create dashboards and data pipelines for experiment results 

• Work with marketing teams to deploy landing page variants quickly 

Required Skills 

• Strong JavaScript / TypeScript and modern web frameworks, architecture- Ideally with exposure to ad tech, fraud/traffic quality, security, or market data

• Experience with analytics instrumentation and event tracking 

• Knowledge of A/B testing and experimentation frameworks 

• SQL + basic data analysis , database

• Familiarity with frontend performance and web experimentation 

Nice to Have 

• Experience with high-traffic websites 

• Experimentation platforms or growth engineering 

• Behavioral analytics (heatmaps, session replay) 

• Python for data analysis.

Production Experience: Candidates must have experience with live AI projects used by customers, rather than just experimental or academic work.

• Organizational Scale: Preference for candidates from well-structured companies or larger teams.
• End-to-End Ownership: Proven experience in building, deploying, and supporting AI-driven systems.

• • Business Impact: The ability to clearly articulate the tangible business results of their work.