Senior Software Engineer, Personalization

Key Responsibilities

• Lead the productionalization of personalization and classification algorithms.
• Translate experimental outputs (from AWS Sagemaker/Personalize) into production-ready systems, ensuring efficiency and reproducibility.
• Demonstrate full stack experience with specialization in backend or infrastructure while contributing to broader projects.
• Collaborate on architecture and technical decisions that influence the direction of the platform, ensuring scalability, performance, and user-focused improvements.
• Design and maintain model-serving infrastructure, including APIs, batch pipelines, or streaming systems required to deploy ML models reliably.
• Focus on performance optimization and system reliability, especially as our user base grows.
• Drive experimentation with MVPs, balancing rapid iteration with long-term sustainable growth and developer experience.
• Provide mentorship to engineers, fostering a culture of growth and collaboration.

Ideal Candidate

• 5+ years of experience leading complex technical projects with significant business impact.
• Experience integrating LLM or ML outputs into core product features.
• Possesses strong specialization in backend or infrastructure systems while maintaining broad knowledge of the full stack.
• Proficiency in relevant technologies (IaC, AWS, Java, Python, Typescript), with experience in backend systems.
• Experience with scalability, performance optimization, and building tools that support data-driven decision-making.
• Strong problem-solving skills and a passion for creating products that connect people in the real world.
• Able to lead initiatives, mentor others, and communicate effectively across technical and non-technical teams.
• Experience working at consumer, social, or marketplace companies is a plus, as it speaks to our user-centric values at Posh.

Compensation Range

$180K - $220K