About the Role/Team

We are seeking a highly experienced Luxury footwear Authentication Expert with strong analytical, investigative, and communication skills to elevate our authentication processes and training programs. If you're passionate about fashion and footwear, and thrive in a fast-paced environment, this could be the perfect role for you.

Your deep expertise in both physical and digital authentication will play a pivotal role in building and maintaining our internal knowledge systems, guiding our authentication team, and collaborating across departments to improve accuracy and consistency.

Reports to: Manager, footwear
Location: Remote - United States, Philippines, India, Hong Kong, Japan
Location Type: Remote

What you'll do

• Create, maintain, and improve knowledge and documentation on luxury footwear authentication.
• Develop training materials and train the global Authentication team for the brand support expansion.
• Deliver high-impact projects by taking full ownership, meeting deadlines, and ensuring quality at every step.
• Research and track industry knowledge, new releases, and trends in the resale and luxury footwear market, identify key attributes, and translate the knowledge or data to authenticators and the ML team to improve the accuracy and automation.
• Work with the Knowledge Analysts for cataloging, researching, tagging, and creating procedures for Entrupy’s proprietary datasets
• Monitor and analyze the accuracy of the results and knowledge adherence to identify the knowledge gap and improve the training materials.

What you bring

• 4+ years of experience creating knowledge materials to train the authentication team.
• Advanced subject matter expertise in luxury footwear, with a proven track record of authentication accuracy.
• Experience with both in-person and digital authentication is a significant plus.
• Understanding knowledge creation best practices (capture, authoring, and organization of information across multiple channels)
• Experience with scientific approaches to the classification of knowledge and systems
• Proven knowledge of taxonomy and data classification systems; comfort working with complex datasets and structured information.
• Proven skills and understanding of data organization and structuring
• Strong authoring and editorial skills: able to understand complex information and communicate said information (both written and spoken) to individuals with diverse professional backgrounds
• Self-starter, detail-oriented, and creative problem solver able to work with global teams and multiple deadlines
• Professional composure and interpersonal skills, while having a strong voice on the subject of Knowledge Management
• Passion for fashion, sustainability, and upholding standards of authenticity.

We have had an incredible run so far and laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 
Culturally, we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission and a desire to solve impactful challenges.

If you want to be a member of our team that is building the infrastructural foundations for data aggregation and insights at Entrupy, we’d love to connect!

About the role

We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.

In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust.

As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain.

Reports to: ML Manager
Location: Remote: Austria, Bulgaria, Ukraine, Hungary & Romania

What You'll Do:

Leadership & Strategy

• Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
• Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.

Advanced Research & Algorithm Development

• Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
• Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.

Scalable Systems & Model Deployment

• Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
• Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.

Collaboration & Stakeholder Engagement

• Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions.
• Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance.

Operational Excellence

• Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards.
• Analyse production data to identify opportunities for continuous improvement in algorithms and systems.

Who you are:

• Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field.
• Experience: 3-6 years in computer vision and machine learning development.
• Core Expertise:
  • • Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
    • Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
    • Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines.
    • Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray.
• Mathematical Proficiency: Strong foundation in probability, statistics, optimisation, linear algebra, and geometry.
• EdgeML Experience: Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency.
• Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams.
• Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.

What we offer

• Market-competitive and pay equity-focused compensation structure
• Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
• The agency to innovate, directly impacting product features and customer experiences.
• Opportunity to be part of the core team in a growing setup.
• Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise.

We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we’d love to connect!

About the Role

We are seeking a Knowledge Analyst I with a strong interest in luxury fashion and authentication. In this role, you’ll support Entrupy’s authentication and training workflows by organizing product knowledge, contributing to structured datasets, and building a foundation in authentication best practices.

This role offers hands-on exposure to luxury goods, visual analysis, and knowledge operations, with clear opportunities for growth as you develop expertise and take on increasing responsibility.

Reports to: Senior Knowledge Analyst
Location: Remote - Philippines, India, Hong Kong, Japan
Location Type: Remote

What you’ll do:

• Support the maintenance and expansion of Entrupy’s knowledge systems by organizing product information, tagging visual datasets, and updating reference materials.
• Assist in creating and maintaining documentation that supports authentication workflows, including product guides and reference materials.
• Conduct research on luxury brands, collections, materials, and construction techniques to support accurate authentication.
• Monitor fashion trends, new product releases, and market changes to help keep knowledge assets current.
• Contribute to training and onboarding materials used by the authentication team.
• Perform quality checks on existing documentation to ensure accuracy, clarity, and consistency.
• Collaborate with senior Knowledge Analysts and cross-functional partners, learning how knowledge supports product and engineering workflows.
• Gradually take ownership of defined tasks and smaller projects as skills and confidence grow

What you bring:

•  0–2 years of experience in fashion, luxury retail, authentication, research, merchandising, or a related field.
• Strong interest in luxury fashion, handbags, and craftsmanship, with a desire to build authentication expertise.
• Formal authentication experience is a strong plus, but not required.
• Excellent attention to detail and a natural curiosity about how products are made and identified.
• Clear written communication skills and the ability to organize information thoughtfully.
• Comfort working with images, structured documents, and basic data tools (such as spreadsheets).
• Openness to feedback, a growth mindset, and a strong sense of accountability.
• Passion for learning, quality, and upholding standards of authenticity in the fashion industry

Culturally, we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission.

We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are passionate about solving challenging problems in a diverse setup, we’d love to connect!

About the Role
We are seeking an experienced Knowledge Analyst II with strong authentication expertise and a deep understanding of luxury handbags and leather goods. This is a senior individual contributor role focused on owning complex knowledge initiatives, improving authentication accuracy through structured data and insights, and helping evolve how Entrupy captures, analyses, and operationalises product intelligence.

You’ll work cross-functionally with Authentication, Training, Engineering, and Product teams, acting as both a subject matter expert and a strategic partner. This role requires high-level thinking, strong judgment, and the ability to lead projects from concept through execution.

Reports to: Knowledge Team Lead
Location: Remote -Philippines, India, Hong Kong, Japan

What you’ll do:

• Serve as a subject matter expert in luxury handbag and leather goods authentication, supporting high-impact authentication and training initiatives.
• Make meaningful contributions to the development, evolution, and quality control of Entrupy’s knowledge systems, ensuring they are accurate, scalable, and aligned with business needs.
• Analyse authentication trends, error patterns, and product data to identify gaps, risks, and opportunities for improvement.
• Own and drive medium- to large-scale projects related to new brand and product support, knowledge structure, tooling, or content strategy, including defining scope, timelines, and success metrics.
• Create advanced documentation, product intelligence frameworks, and reference materials that support expert-level decision-making.
• Partner closely with Engineering and Product teams to inform how knowledge is structured, tagged, and surfaced within Entrupy’s platforms.
• Contribute to the design and refinement of training programs, helping raise the overall expertise of the global authentication team.
• Stay ahead of market trends, brand updates, and emerging counterfeit techniques, translating insights into actionable knowledge assets.
• Mentor and provide guidance to more junior Knowledge Analysts, supporting team growth and consistency.

What you bring:

• 2+ years of experience in authentication, knowledge management, luxury goods research, fashion merchandising, or a closely related field.
• Demonstrated expertise in authenticating luxury and contemporary handbags and leather goods, with strong brand-level knowledge.
• Proven ability to think analytically about data, patterns, and systems, not just individual cases.
• Experience leading projects or initiatives independently, with a track record of follow-through and impact.
• Exceptional written communication skills, with the ability to synthesise complex information into clear, usable resources.
• High attention to detail paired with strong judgment and investigative instincts.
• Comfort working with large visual datasets, structured documentation, and analytical tools (spreadsheets, tagging systems, internal platforms).
• A collaborative mindset and confidence working cross-functionally in a fast-paced, evolving environment.
• Deep interest in fashion, luxury, craftsmanship, and the role of authentication in protecting consumers and brands.

Culturally, we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission.

We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are passionate about solving challenging problems in a diverse setup, we’d love to connect!

About the Role

As we expand branded luxury jewelry as a key category, we’re looking for a domain expert to help scale and strengthen our authentication capabilities globally, with a focus on North America.

We already have an established foundation in APAC, and this role will be critical in building depth, consistency, and regional expertise in North America, while partnering closely with the existing team. You will focus exclusively on high-end, branded jewelry (e.g., Cartier, Tiffany, Van Cleef & Arpels, etc.), bringing deep expertise in brand-specific construction, hallmarks, and authentication nuances.

In parallel, you will support the continued expansion of luxury apparel expertise in North America, ensuring alignment and quality across categories.

If you are passionate about luxury craftsmanship, brand heritage, and scaling expertise across regions, this is a unique opportunity to play a pivotal role in a growing category.

Reports to Manager, Apparel

Location: US

Employment Type: Remote

What you’ll do:

• Scale and enhance branded jewelry authentication capabilities in partnership with the APAC team
• Authenticate high-value branded jewelry pieces, contributing to critical, high-risk evaluations
• Build and refine structured knowledge systems (brand-level taxonomies, hallmark libraries, construction guides)
• Develop and localize training programs and certification materials for global teams
• Research luxury jewelry brands, collections, and brand-specific identifiers to deepen category expertise
• Support the expansion of luxury apparel expertise in North America, ensuring consistency in authentication quality
• Coach and mentor team members to foster a high-precision, knowledge-first culture

What you bring:

• 3 to 5+ years of experience in branded luxury jewelry authentication, resale, or appraisal
• Deep expertise in brand-specific hallmarks, engravings, construction techniques, and identifiers (e.g., Cartier, Tiffany, Van Cleef & Arpels, Bulgari, etc.)
• Strong understanding of luxury jewelry brand portfolios, collections, and market positioning
• Experience building training materials, playbooks, or structured knowledge systems
• Exceptional attention to detail and ability to make high-stakes authentication decisions
• Strong communication skills — able to codify expert judgment into scalable processes
• Highly organized, proactive, and comfortable working cross-functionally in a global environment
• Passion for authenticity, craftsmanship, and scaling expertise in luxury categories

The starting salary for this role is between $55,000 - $70,000, depending on skills and experience. We have competitive pay bands for all other countries based on market standards. Individual compensation decisions are based on several factors, including experience level, skill set, and balancing internal equity relative to peers at the company. Based on these factors, we expect most of the candidates offered roles at our company to fall within the range. We recognize that the person we hire may be less experienced (or more senior) than the requirements stated in this job description, as posted. If so, the updated salary range will be communicated to you as a candidate.

About the Role

This is a high-impact, individual contributor role where you will be the primary owner of IT operations across the company. Our environment is Mac-first, and we rely heavily on Kandji for device management. You’ll be responsible for troubleshooting, supporting employees, and continuously improving our IT systems and processes.

Location Type: Canada, Remote

What you’ll do:

• Serve as the primary point of contact for all IT support requests across a remote workforce
• Troubleshoot hardware, software, and access issues quickly and effectively
• Manage onboarding and offboarding (device setup, access provisioning, deprovisioning)
• Own and manage Mac devices using Kandji (policies, compliance, deployments)
• Manage user access across systems (Google Workspace, Slack, etc.)
• Maintain device inventory and lifecycle management
• Build and improve IT processes, documentation, and workflows
• Identify recurring issues and proactively implement solutions
• Support security and compliance initiatives (including SOC 2 readiness)

What you bring:

•  3–5+ years of experience in IT support or IT operations
• Strong experience managing Mac environments
• Hands-on experience with Kandji or similar MDM tools
• Excellent troubleshooting and problem-solving skills
• Ability to work independently and prioritize effectively
• Strong communication skills with both technical and non-technical stakeholders
• Experience supporting remote teams
  
  

Nice to Have:

• Experience in a startup or high-growth environment
• Familiarity with SOC 2 or security best practices
• Experience with identity management (SSO, MFA, Google Workspace admin)
• Exposure to automation or scripting

Why Join Entrupy:

You’ll play a critical role in enabling our team to do their best work. As a one-person IT function, your impact will be visible across the organization, and you’ll have the opportunity to shape how IT scales with the company.

We have competitive pay bands for all other countries based on market standards. Individual compensation decisions are based on several factors, including experience level, skill set, and balancing internal equity relative to peers at the company. Based on these factors, we expect most of the candidates offered roles at our company to fall healthily throughout the range. We recognize that the person we hire may be less experienced (or more senior) than this job description, as posted. If so, the updated salary range will be communicated to you as a candidate.

About the Team/Role

Entrupy Inc. is seeking a full-time Authentication Specialist position based in the United States (East or West Coast region). The Authentication Specialist position is a salaried position. You will be trained to authenticate all of Entrupy’s supported luxury brands through studying Entrupy’s microscopic data and intensive brand learning. You will be responsible for accurately assessing and tagging each item to assist in the machine learning process to further train our algorithms as well as meeting and exceeding SLAs through quality and efficient processing.

What you'll do

• Monitor real-time customer authentications of high-end luxury goods
• Ensure accuracies of internal tests pertaining to newly released brands and materials
• Initiate follow-up communication with customers on as-needed basis

What you bring

• Analytical: you must be comfortable gleaning information from large, often similar, sets of data
• Focus: you will be monitoring and analyzing large amounts of data.
• Accuracy and attention to detail are critical, as is time management
• Tech savvy: you will be actively utilizing internal information systems, Google Suites, Slack, Zoom and other applications
• Flexible: you may be required to work weekends, holidays, and hours outside of Entrupy’s public online hours of 10:00 AM to 7:00 PM

What we offer

• Market competitive and pay equity-focused compensation structure
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Rich medical benefits and insurance coverage
• 3.5% 401k match
• Dedicated mental health support for employees and eligible dependents

About the Role

We’re expanding Entrupy’s authentication capabilities and launching Watches as a new vertical. As we scale this exciting new chapter, we’re seeking an experienced Watches Authentication Expert to help build and grow a world-class program for watch authentication.

If you’re passionate about luxury timepieces, committed to protecting resale integrity, and a champion for authenticity, this could be the perfect opportunity for you!

We’re looking for an expert in Luxury Watch brands such as Rolex, Omega, Cartier, Audemars Piguet, Patek Philippe, and TAG Heuer (and more). In this role, you’ll authenticate watches in real time, contribute to building structured knowledge systems, and help train the team on new models, materials, and evolving market trends. This is a unique hybrid role that blends deep subject-matter expertise with systems thinking and team leadership.

Your expertise in both physical and digital authentication will play a pivotal role in scaling accuracy, speed, and customer trust.

Reports to: Manager, Apparel
Location: APAC, Europe, or North America
Location Type: Remote

What you’ll do:

• Monitor real-time customer authentications of luxury watches
• Ensure the accuracy of internal testing and validation for new brands, models, and reference variations
• Support the build-out of structured knowledge systems, templates, and processes to strengthen authentication and training
• Research watch market trends, new releases, reference-level details, and common counterfeit patterns to continuously improve brand coverage
• Collaborate cross-functionally (Ops, Product, Engineering, and QA) to help systemize watch authentication workflows at scale

What you bring:

• Expertise in authenticating luxury watches (experience in resale, pre-owned, auction, or marketplace context is a strong plus)
• Strong eye for detail across model identification, reference nuances, components, and manufacturing consistency
• Familiarity with structuring and organizing knowledge (taxonomies, classification systems, or content systems is a plus)
• Excellent written and verbal communication — able to simplify complex concepts for cross-functional teams
• Highly organized, proactive, and comfortable managing deadlines with global collaboration
• Confident, thoughtful communicator with a passion for building a strong knowledge-first culture

We have competitive pay bands for all other countries based on market standards. Individual compensation decisions are based on several factors, including experience level, skill set, and balancing internal equity relative to peers at the company. Based on these factors, we expect most of the candidates offered roles at our company to fall healthily throughout the range. We recognize that the person we hire may be less experienced (or more senior) than this job description, as posted. If so, the updated salary range will be communicated to you as a candidate.