7 months ago
Base Salary
$180k - $220k/yr
Responsibilities
- Lead the productionization of personalization and classification algorithms.
- Build data- and analytics-informed systems that maintain the accuracy and relevance of personalization, classification, and ranking algorithms.
- Translate experimental outputs from AWS SageMaker and Amazon Personalize into efficient, reproducible production systems.
- Design and maintain model-serving infrastructure, including APIs, batch pipelines, and streaming systems for reliable ML model deployment.
- Contribute to full-stack projects with a specialization in backend or infrastructure.
- Influence platform architecture and technical decisions while improving scalability, performance, and user experience.
- Drive experimentation with MVPs while balancing rapid iteration, sustainable growth, and developer experience.
- Optimize performance and system reliability as the user base grows.
- Mentor engineers and foster a culture of growth and collaboration.
Requirements
- At least 5 years of experience leading complex technical projects with significant business impact.
- Experience integrating LLM or machine-learning outputs into core product features.
- Strong specialization in backend or infrastructure systems with broad full-stack knowledge.
- Proficiency with IaC, AWS, Java, Python, and TypeScript, plus backend systems experience.
- Experience with scalability, performance optimization, and tools supporting data-driven decision-making.
- Ability to lead initiatives, mentor engineers, and communicate across technical and non-technical teams.
- Experience at consumer, social, or marketplace companies is preferred.
Benefits
- In-person role based in the Posh office in SoHo, New York City.
Tech Stack
Categories
About Posh
Posh builds an events marketplace and ticketing platform for organizers and attendees, centered on nightlife and IRL communities. Organizers use it to create event pages, manage guest lists, sell tickets, and promote experiences; consumers discover and buy access via web and mobile apps. Founded in 2019 and headquartered in New York, the privately held company supports everything from intimate gatherings to large-scale parties and festivals.