Assistant Sales 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

Storytelling platforms have not evolved with smartphones, as we still consume stories being passive observers. At Raidenbit, we are building http://onelink.to/kahaniboxapp">KahaniBox - The Netflix for interactive fiction in Indian languages. We create stories with immersive roleplay experiences that allow the audience to control how the stories unfold and end. And while doing that, we are solving some fascinating problems around decoding human psychology and understanding our audience’s content tastes using engineering and data science.

We are looking for an Engineering Head to join our founding team and drive the vision and architecture for scaling KahaniBox to 100M+ monthly users.

You will:

• Recruit and manage world-class engineering talent both in India and abroad.
• Lead the development of our content creation engine, recommendation engine, and content insight engine. 
• Prototype and implement new product ideas and initiatives around increasing revenue, user retention, content consumption, etc.
• Implement and continuously improve processes for high-velocity engineering, including DevOps, testing, CI/CD, PRs, etc.
• Keep technical debt under control by reinforcing and evolving our engineering culture, which values code reviews, high test coverage, and adequate documentation.

You have:

• 7+ years of engineering experience in scaling, optimizing, and rewriting significant systems. Bonus points for gaming/media-tech experience.
• 3+ years of team management experience. 
• Strong team-building and empowering skills - you excel in hiring and mentoring high-performing engineering teams.
• Exceptional competencies in data structures, algorithms, software design, and OOP.
• Experience with at least one Cloud Providers: GCP, AWS, or Azure.
• Experience in building data pipelines and implementing event-driven architectures.
• Strong bias to ship early and iterate quickly with data.
• Intermediate understanding of Machine Learning.

REPORT BUILDING

OVERTIME CALCULATION

INCENTIVE CALCULATION

REPORT BUILDING

OVERTIME CALCULATION

INCENTIVE CALCULATION

• Job Description

We are looking for a talented Platform Engineer with a strong background in Python programming and AWS services to join our growing team.

Responsibilities:

• Contribute to the development and maintenance of our cloud management platform
• Collaborate with cross-functional teams to define, design, and deliver new features and functionality.
• Provide technical support and guidance to internal and external stakeholders.
• Stay up-to-date with the latest industry trends and technologies.
• 
  

Requirements:

• A total of 2-4 years of professional experience in developing applications/platforms using Python programming
• Strong understanding of Object-Oriented Programming, SOLID principles and RDBMS.
• Demonstrated experience in utilizing AWS services, including Lambda, RDS, and DynamoDB.
• Strong understanding of cloud computing concepts, infrastructure, and architectural best practices.
• Experience in using source control systems, such as Git.
• Excellent problem-solving skills and the ability to debug complex systems.
• Strong communication skills, both written and verbal, with the ability to work effectively with team members and stakeholders.
• A constant hunger for learning and staying up-to-date with the latest industry advancements.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• 
  

Nice to have:

• AWS Certified Developer – Associate or other relevant AWS certifications.
• Experience with the AWS Boto3 SDK for Python.
• Experience with other cloud platforms (Azure, GCP, etc.).
• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes.

Roles and Responsibilities 

1) Understand client requirements and functionalities. 

2) Write well-designed, testable, efficient code. 

3) Responsible for solving complex technical issues. 

4) Ensure quality projects are delivered within defined timelines. 

5) Active involvement in client communication to understand functional requirements. 

6) Maintain high standards of quality for code, documentation and other deliverables. 

Required Skills 

1) Good experience in Angular/React

2) Hand on Node.JS./Express JS 

3) Database : MYSQL/MongoDB 

4) Experience in Java Script, Typescript. 

5)Good experience in HTML5, CSS3, JavaScript, Jquery 

6) Experience working in an Agile environment. 

7) Good communication skills.

Roles and Responsibilities

How to know if you are the one we're looking for? You are the one if you have extensive knowledge of the latest SEO Trends and online marketing channels.

Developing SEO-based content like Blogs, Guest Blogs and PR and s. Optimize content considering SEO and Google Analytics.

Accountable for all initiatives to drive traffic, engagement, and leads, that deliver sales and customer retention.

Depth of understanding and knowledge of organic search trends, including search engine algorithm changes, and the latest tools and technologies.

Create and launch SEO campaigns, identify areas of improvement, and optimize the site's performance and rankings in major search engines.

Handy experience in operating various marketing tools.

Other Skills: link building, keyword research, Google search console, Google Analytics, Website analysis tools.

Desired Candidate Profile

Ability and desire to strive for excellence.

Self-initiative, determined, and tech-savvy to the core.

SEO, SEM, Google Analytics, Website Designing, Graphic Designing.

Handy experience in operating various marketing tools.

Excellent Rank Producing, On page Off Page promotion, Link Building, and Back link Building.

a plus for channels such as SMO, PPC, Email Marketing and Content Marketing.

Rejolut is one of the award-winning fastest-growing tech company which is working on leading technology like Blockchain, ML & AI, Complex mobile & web apps, IoT, etc.

The ideal candidate will be responsible for managing a development team and client coordination.

Roles & Responsibilities:-
• Collaborate with business and functional partners and technology leadership in defining features backlog and specifying requirements
• Taking Ownership of Delivery
• Drive technology discussion and strategy in line with business needs and company reference architecture
• Define execution plan and approach based on project scope, the expected timeline,
• Support execution team with resolution of roadblocks and inter-dependencies Partner with technical and functional teams external to the project to ensure their tasks are completed as required
• Ensure quality of deliverable is verified and matching stakeholder expectations
• Conducting daily scrum calls for smooth delivery.

Desired Candidate Profile:-

• Sprint Planning, Coordinate sprints, retrospective meetings and daily stand-ups, Direct Client Interaction
• Organize and Manage Daily Scrum, Create various types of Project status reports, Manage the scrum board with various graphs, chart
• Experience in managing only Technical projects
• Excellent communication skill 

How we are different 
 We are a young and dynamic team who are obsessed with solving the business problem at scale. We are a technology agnostic company that focus more on finding the optimal solution to the business problem rather than technology.

 Why to join us
 - We provide huge learning curve. Spending 1.5-2 years with us will put you 3 years ahead in the career.
- We work only on cutting edge technology like React, React Native, Flutter, NodeJS, Python, Go, Svelte, ELM
- There are two technology Co-founder in the company who are pretty much hands-on and have earlier bult the Consumer application which is downloaded millions of time and are in leadership position in companies like Samsung, Purplle, Loyalty Rewardz.
- Get mentored by the best in the industry
- Flexible working hours
- Perks best in the industry