Jobs at Entrupy

Identify, qualify, and nurture inbound and outbound leads through calls, emails, social and networking. Schedule discovery calls and demos, maintain CRM data, collaborate with marketing, track/report lead metrics, and refine outreach strategies to drive pipeline for Account Executives.

Monitor real-time customer authentications of luxury goods, accurately tag items to support ML training, validate internal tests for new brands/materials, communicate follow-up with customers as needed, and meet SLAs while using internal systems and collaboration tools.

As a Senior Full-Stack Engineer, you'll automate processes, develop systems, contribute reliable code, and lead complex projects in full-stack development.

Manage end-to-end global onboarding and offboarding, maintain HR operations and employee records, execute recurring HR processes, support audits and compliance, act as HR systems power user, troubleshoot issues, generate reports, and provide timely employee support across multiple regions.

The Sneaker Data Collector will capture high-quality sneaker images, log data, and assist with inventory tracking while collaborating with the team.

The Authentication Specialist will monitor real-time authentications of luxury goods, ensure test accuracies, and engage with customers as needed.

Build and maintain ML platform infrastructure: deploy, monitor, and scale training and inference pipelines; create tooling and interfaces for ML teams; provision hybrid cloud servers; support model operationalization, testing, monitoring, dashboards, and platform adoption.

As an Authentication Specialist, you will authenticate luxury goods, assess internal tests, and communicate with customers, while supporting the machine learning process.

As an Authentication Specialist, you will monitor and analyze luxury goods authentication, ensure accuracy, and communicate with clients, aiding machine learning efforts.

The Senior ML Research Engineer will develop computer vision algorithms for item authentication, mentor team members, and oversee model deployment.

Design, develop, and execute test plans and automated tests for product features (including mobile apps). Perform functional and non-functional testing (performance, UX), identify and track bugs in Linear, collaborate with product and engineering to resolve issues, and improve QA processes and methodologies.

Full-cycle global recruiter supporting sourcing, screening, interview coordination, and ATS data management. Build and maintain talent pipelines, partner with hiring managers, support onboarding, and improve recruiting processes in a fast-paced startup.

Support Entrupy's authentication workflows by organizing product knowledge, tagging visual datasets, maintaining documentation, researching brands and materials, monitoring fashion trends, contributing training materials, performing quality checks, and collaborating with senior analysts and cross-functional teams while gradually owning small projects.

The role involves monitoring real-time authentications of luxury watches, validating accuracy for new brands, and contributing to knowledge systems regarding market trends and counterfeit patterns.

The Business Development Representative will identify and qualify leads, engage with prospective customers, and collaborate with sales and marketing to drive revenue growth.

The HR Operations, IT & Payroll Specialist will manage HR operations, payroll compliance, IT support, and employee engagement initiatives for the Japan team, acting as a liaison with global HR teams.

Lead and scale global machine learning and computer vision teams across India and Europe, define ML strategy and roadmap, deliver production-grade training/inference pipelines and edge deployments, optimize performance and reliability, drive cross-functional collaboration, hire and develop senior talent, and establish operational rigor and metrics for continuous improvement.

The HR Operations Site Lead manages HR operations, compliance, recruitment, and onboarding for the Mangalore office, ensuring a people-first approach in a multi-shift environment.

Lead and scale mobile engineering across iOS and Android. Manage teams, drive strategy, ensure quality, and advocate for user experience.

As a Machine Learning Engineer Intern, you will assist in developing computer vision algorithms for item authentication and fingerprinting, collaborating on model deployment, and contributing to code quality and documentation.