Senior Data Engineer, Personalization
About Posh
We are all social creatures, but the dominant “social” companies today have evolved into digital loneliness machines, driving isolation, anxiety, and mental health challenges around the world.
Human connection is lost. Posh is a beacon guiding us back.
Posh enables anyone to build an IRL community based on shared interests, while connecting consumers with the communities of people just like them. Founded by event organizers who were frustrated with the growing loneliness epidemic and the tools available to build their own event brand, we’ve built the ultimate platform for launching, monetizing, and finding IRL communities of people just like you. In just 5 years, Posh has grown to a team of 65, expanded to 7M+ users, secured $70m in venture funding, and facilitated over $300M in transactions.
About The Role
At 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 role based in our New York City office in the heart of SoHo. Building live experiences and building with soul are important for our customers, and we believe being and working together as a team is the best way for Posh to feel and achieve this. Events on Posh should be fun, alive, and driven with passion and we want to mirror this in our teams every day!
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.
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.
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