We are all social creatures, but the dominant “social” companies today have evolved into digital loneliness machines, driving isolation, anxiety, and mental health challenges across our lives.
Human connection is lost. Posh is a beacon guiding us back.
Posh enables anyone to become an event organizer, build a community around their followers, and bring people together in person to cultivate real-world human connections. Founded by event enthusiasts and college dropouts, we’ve built the ultimate tools for creating, marketing, and monetizing in-person communities globally. In just three years, Posh has grown to a team of 60, expanded to 5M+ users, secured $40m in venture funding, and facilitated over $220M in transactions. We've achieved more than teams ten times our size in a tenth of the time—and there's so much more to come.
About The RoleAt Posh, you'll help shape our platform that brings people together through live events. Your work will directly impact how event organizers create experiences and how attendees discover and enjoy them.
We're looking for someone who excels in both technical skills and leadership. You'll tackle exciting projects that push our platform forward. Some recent work includes building a system for users to follow each other, creating curated event playlists, and tools for affiliate event promotion. If you enjoy solving real-world problems and working in a fast-paced environment, you'll fit right in.
This is an in-person position at our New York City office located in the heart of SoHo, where you'll be part of a team that's revolutionizing how people connect in the real world.
About The RoleAt Posh, you'll help shape our platform that brings people together through live events. Your work will directly impact how event organizers create experiences and how attendees discover and enjoy them.
As the first Software Engineer on our Personalization team, you’ll define how personalization, classification, and recommendation algorithms power the Posh experience, working closely with a dedicated Data Scientist to bring models from prototype to production. You’ll take on high-impact projects across the stack, while influencing the technical direction of a fast-growing product. If you enjoy solving real-world problems and working in a fast-paced environment, you'll fit right in.
This is an in-person position at our New York City office located in the heart of SoHo, where you'll be part of a team that's revolutionizing how people connect in the real world.
Key Responsibilities:Lead the productionalization of personalization and classification algorithms.
Build with data and analytics in mind, to ensure continued accuracy and relevance of personalization, classification, and ranking 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.
Build with data and analytics in mind, to ensure continued accuracy and relevance of personalization and classification algorithms.
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.
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.
Ability 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.
Posh provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Posh is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability
