Operational Risk Manager

Introduction

About Us:

Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to “Create value in a global marketplace where anyone can buy & sell.” From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.

Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.

For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.

Our Culture:

To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization. We invite you to read the Mercari Culture Doc which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear to Mercari’s culture.

Work Responsibilities

• Machine learning engineers working in the Recommendation domain develop the functions and services of the marketplace app Mercari through the development and maintenance of machine learning systems like Recommender systems while leveraging necessary infrastructure and companywide platform tools. 
• Mercari is actively applying advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.

Bold Challenges

• We are looking for people who are interested in our services, mission, and values, and want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.
• Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users
• Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement
• Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms
• Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
• Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
• Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

Minimum Requirements:

• Over 5-9 years of professional experience in end-to-end development of large-scale ML systems in production
• Strong experience demonstrating development and delivery of end-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
• Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of machine learning and software engineering fundamentals
• Basic knowledge and skills related to monitoring system, logging, and common operations in production environment
• Communication skills to carry out projects in collaboration with multiple teams and stakeholders

Preferred skills:

• Experience developing Recommender systems utilizing large-scale data sets
• Basic knowledge of enterprise search systems and related stacks (e.g. ELK)
• Functional development and bug fixing skills necessary to improve system performance and reliability
• Experience with technology such as Docker and Kubernetes
• Experience with cloud platforms (AWS, GCP, Microsoft Azure, etc.)
• Microservice development and operation experience with Docker and Kubernetes
• Utilizing deep learning models/LLMs in production
• Experience in publications at top-tier peer-reviewed conferences or journals

Employment Status

Full-time

Office

Bangalore

Hybrid workstyle

• We believe in high performance and professionalism. We work from office for 2 days/week and work from home 3 days/week
• To build a strong & highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
• We will continue to review and update the policy to address future organizational needs

Work Hours

• Full flextime (no core time)

*Flexible to choose working hours other than team common meetings

Media

Owned Media

• Mercari Engineering Portal
• AI at Mercari portal
• Mercan - Introduces the people that make Mercari
• Mercari US Blog

Related Articles

• Development Platforms and Platformers: On Rising to the Global Standard Ken Wakasa, Mercari CTO | mercan
• “I'm Not a Talented Engineer” Insists the Member-Turned-Manager Revamping Our Internal CS Tool | mercan
• Personalize to globalize:How Mercari is reshaping their app, their company, and the world | mercan
• The Providers of the Safe and Secure Mercari Experience: The TnS Team, Introduced by Its Members! | mercan

• Own the end-to-end SMB sales cycle (prospecting to close) for U.S.-based customers

• Handle inbound and outbound leads, including cold outreach

• Conduct product demos, discovery calls, and negotiations

• Build and manage a healthy sales pipeline and accurate forecasts

• Consistently achieve or exceed monthly and quarterly quotas

• Maintain accurate CRM records and sales activity tracking

Required Qualifications

• 1-5 of experience as an Account Executive in B2B SaaS

• Strong experience selling to SMB customers (not enterprise-only profiles)

• Direct exposure to selling in the U.S. market

• Proven track record of quota achievement

• Excellent communication, negotiation, and closing skills

• Hands-on experience with CRM tools such as HubSpot

• Strong understanding of U.S. buyer behavior and SMB needs

Preferred Qualifications

• Experience in fast-paced SaaS startups or growth-stage companies

• Familiarity with high-volume deal environments ($5k–$100k ARR)

• Strong consultative selling approach

• Strong understanding of U.S. buyer behavior and SMB needs

About CoPoint AI

CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.

Our Vision 

We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack

Our Values

• Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
• In Partnership: With our Team, For our Clients, In our communities. 
• Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.

Role Overview

As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.

Key Responsibilities

• Lead design and implementation of end-to-end data, AI, and web application solutions
• Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
• Develop and optimize secure, scalable APIs and microservices using cloud-native principles
• Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
• Guide teams in AI-assisted software development lifecycle improvements
• Build frameworks for responsible AI governance and model monitoring
• Comprehensive understanding of the AI solution landscape
• Leadership experience in AI-enabled digital transformation initiatives
• Expertise in AI adoption strategies and change management
• Ability to translate AI capabilities into measurable business value
• Design multi-model architectures combining analytics, AI, and web experiences
• Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
• Manage project work streams and lead cross-functional delivery teams
• Cultivate and manage client relationships, providing strategic and technical guidance
• Identify and propose innovation opportunities through data and digital experiences
•  Mentor junior developers, analysts, and consultants
• Ensure high quality and consistency in solution delivery and user experience

Qualifications

• Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI). 
• Proven experience implementing enterprise AI solutions on Azure 
• Advanced knowledge of large language models and their business applications 
• Expertise in AI-enhanced software development methodologies 
• Experience with AI model evaluation, validation, and responsible deployment 
• Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services 
• Experience integrating AI into existing enterprise applications and data platforms 
• Experience managing client expectations and delivering high-quality solutions 
• Strong technical leadership and problem-solving capabilities 
• Excellent communication and presentation skills 
• Ability to anticipate client needs and propose strategic solutions

What should You expect:

• A culture of continuous learning with certification support.
• Clear career advancement pathways.
• Competitive compensation and benefits.
• Flexible work arrangements.
• A collaborative environment that values innovation and creativity.

Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.

Responsibilities:

• Data Analysis and Exploration:
• Collect, clean, and preprocess large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Visualize data using appropriate tools and techniques to communicate findings effectively.
• Machine Learning and Modeling:
• Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
• Evaluate model performance and optimize algorithms for accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Statistical Analysis:
• Perform statistical hypothesis testing and A/B testing to validate findings.
• Apply statistical methods to analyze data and draw meaningful conclusions.
• Develop statistical models to forecast future trends and outcomes.
• Data Visualization and Reporting:
• Create compelling visualizations and dashboards to present data insights to stakeholders.
• Prepare clear and concise reports summarizing findings and recommendations.
• Effectively communicate complex data concepts to non-technical audiences.
• Collaboration and Communication:
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
• Present findings and recommendations to stakeholders at all levels of the organization.
• Contribute to the development of data-driven strategies and initiatives.

About Us:

At Sublime Data Systems, we are dedicated to creating scalable, enterprise-level software solutions that drive innovation and growth. We are seeking an experienced Fullstack Engineer to join our dynamic team. As a core member of our cross-functional unit, you will play a pivotal role in the entire development life cycle, from conception to deployment. Your leadership will be essential in mentoring and guiding our team towards excellence. If you are passionate about coding, thrive in an entrepreneurial environment, and possess expertise in front-end and back-end technologies, we would love to meet you.

Key Responsibilities:

• Architect and develop robust, scalable, and efficient web applications using Node.js and React.js.
• Lead a team of developers in the design, development, testing, and deployment of high-performance web applications.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability.
• Stay up-to-date with emerging technologies and industry trends to drive innovation and excellence in our products.
• Conduct code reviews to ensure code quality and adherence to best practices.
• Mentor and coach team members to foster a culture of continuous learning and growth.
• Troubleshoot and resolve complex technical issues, ensuring seamless application performance.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in full-stack web development.
• Proficiency in Node.js, Express, Nest.js, React.js, and Next.js along with expertise in Typescript.
• Proven experience leading a team of engineers in a fast-paced, agile environment.
• Strong understanding of software development best practices, design patterns, and architectural principles.
• Extensive experience with front-end technologies such as HTML, CSS, and JavaScript.
• In-depth knowledge of RESTful APIs and experience with API integration.
• Expertise in utilizing modern development tools and deploying workflows, such as Git and CI/CD pipelines.
• Familiarity with message broker systems like RabbitMQ.
• Proficiency in databases such as Postgres or MySQL.
• Experience with ORM Frameworks like Sequelize or Typeform.
• Experience with microservices architecture.
• Experience with DevOps (AWS) practices
• Excellent problem-solving and debugging skills.
• Strong communication and leadership abilities.

Benefits:

• Positive work environment
• Encourage and sponsor learning and development programs
• Chance to work with advanced technology

Graphic designer:

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We are looking for a Graphic Designer to create engaging and on-brand graphics for a variety of media. Entire process of visualizing and creating graphics including illustrations, logos, layouts and photos. You’ll be the one to shape the visual aspects of websites, brochures, exhibitions and more.

Responsibilities :

• Study design briefs and determine requirements
• Conceptualize visuals based on requirements
• Develop illustrations, logos and other designs using software or by hand
• Use the appropriate colors and layouts for each graphic
• Amend designs after feedback
• Ensure final graphics and layouts are visually appealing and on-brand

Requirements and skills :

• Experience –Should have at least 1 year of experience Graphic Designing.
• Proven graphic designing experience
• A strong portfolio of illustrations or other graphics
• Knowledge of UI/UX is a plus
• Familiarity with design software and technologies (such as InDesign, Illustrator, Photoshop)
• A keen eye for aesthetics and details
• Excellent communication skills
• Ability to work methodically and meet deadlines
• Degree in Design, Fine Arts or related field is a plus