IT Project Manager

Business Development Executive (BDE) – IT Staffing

Experience: 1–5 Years

Location: Rajendra Nagar, Ghaziabad, UP (Onsite)

Employment Type: Full-time

Role Summary

We are looking for a high-energy Business Development Executive (BDE) with a proven track record in the IT Staffing and Resource Augmentation industry to join our office in Rajendra Nagar, Ghaziabad. Your primary responsibility will be to identify new corporate business opportunities, build relationships with tech companies, and secure contracts for our technical staffing services (contract staffing, permanent hiring, and team augmentation).

Key Responsibilities

• New Client Acquisition: B2B prospecting, cold outreach, and lead generation to connect with corporate HR Heads, Talent Acquisition Directors, and Engineering Managers.
• Account Management: Build and maintain long-term relationships with new corporate clients to understand their ongoing technical hiring needs.
• Requirement Gathering: Coordinate with clients to gather detailed job descriptions, skill requirements, and budget constraints for technical roles.
• Delivery Alignment: Collaborate closely with the internal recruitment team to ensure candidates match client expectations and timelines.
• Revenue Generation: Handle end-to-end sales cycles, including contract negotiations, commercial finalization, and signing Master Service Agreements (MSAs).

Required Skills & Qualifications

• Experience: 1 to 5 years of core corporate sales/business development experience strictly within the IT Staffing / IT Recruitment industry.
• Domain Knowledge: Strong understanding of general IT jargon (e.g., Java developers, QA, Cloud engineers) to comfortably speak with corporate tech clients.
• Target Market: Proven ability to source and break into corporate accounts across Delhi NCR (Noida, Gurgaon, and Delhi) from our Ghaziabad office.
• Communication: Exceptional verbal and written communication skills with strong corporate presentation and negotiation capabilities.
• Drive: Self-motivated, target-oriented, and capable of working in a fast-paced sales environment.

Good to Have

• Existing corporate client relationships in the Delhi NCR region for immediate traction.

• Proven experience in any high-level programming languages like Java (Preferably)
• Strong knowledge of data structure, algorithms and coding
• Experience with any Messaging technologies like Kafka or Rab-bitMQ, etc.
• Proven experience in database technologies like NoSQL
• Hands-on experience with Spring, Spring Security, Spring boot, and Hibernate framework.
• Working knowledge of developing Restful Micro services.
• Strong analytical, problem-solving skills.
• Attend team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues.
• Ability to understand the Platform/domain of the business in detail & Ability to multi-task.
• Good communication and organizational skill

JOB DETAILS:

Job Role: Procurement Manager

Industry: FMCG

Function: Procurement & Supply chain Management

Work Mode: ONSITE

Working Day: 5

Salary: Best in Industry

Experience: 7-10 years

Location: Gurgaon

Required Skills: Handling Procurement

Criteria:

• Proven experience in procurement within Cosmetics, Baby Care, or Personal Hygiene categories
• End-to-end procurement ownership (raw materials, packaging, finished goods)
• Strong experience in vendor sourcing, evaluation, onboarding, and negotiations
• Ability to manage pricing, MOQs, lead times, credit terms, and SLAs
• Hands-on experience in cost optimization and supplier consolidation
• Strong knowledge of quality, compliance, and regulatory standards (BIS, FDA, ISO, GMP)
• Strong capability in costing, BOMs, MIS, procurement KPIs, and analytics
• Excellent stakeholder management across supply chain, R&D, and marketing

Preferred but Expected 

• Experience in D2C or new-age startup environments
• Exposure to fast-paced, scale-up operations
• Experience managing inventory planning and obsolescence control

Description

Job Title: Procurement Manager – Cosmetics, Baby Care & Personal Hygiene

Role Overview

We are looking for a Procurement Manager with strong experience in Cosmetics, Baby Care, and Personal Hygiene categories, preferably from new-age D2C startups. The role will manage end-to-end procurement, vendor partnerships, cost optimization, and compliance, supporting fast-paced product launches and scale-up operations.

Key Responsibilities

Strategic Sourcing & Procurement

• Lead end-to-end sourcing of raw materials, packaging, and finished goods

• Develop agile procurement strategies aligned with D2C business models

• Identify, evaluate, and onboard manufacturers, formulators, and packaging vendors

• Drive cost optimization, negotiations, and supplier consolidation

Vendor & Contract Management

• Negotiate pricing, MOQs, lead times, credit terms, and SLAs

• Manage long-term supplier relationships and performance metrics

• Draft and manage vendor contracts and rate cards

• Handle escalations and supply risks in high-growth environments

Quality, Compliance & Regulatory

• Ensure compliance with cosmetic, baby care, and hygiene regulations (BIS, FDA, ISO, GMP, etc.)

• Coordinate with QA/QC teams for audits, approvals, and quality assurance

• Ensure all regulatory documentation is maintained and audit-ready

Planning, Inventory & NPD Support

• Collaborate with demand planning, supply chain, R&D, and marketing teams

• Support New Product Development (NPD) sourcing and rapid launch timelines

• Maintain optimal inventory levels while minimizing excess and obsolescence

Costing, MIS & Analytics

• Prepare cost sheets, BOMs, and vendor benchmarks

• Track savings, procurement KPIs, and supplier performance

• Present regular MIS and insights to leadership

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

Exp: 10+ Years

CTC: 1.7 LPM

Location: Pune

SnowFlake Expertise Profile

Should hold 10 + years of experience with strong skills with core understanding of cloud data warehouse principles and extensive experience in designing, building, optimizing, and maintaining robust and scalable data solutions on the Snowflake platform.

Possesses a strong background in data modelling, ETL/ELT, SQL development, performance tuning, scaling, monitoring and security handling.

Responsibilities:

* Collaboration with Data and ETL team to review code, understand current architecture and help improve it based on Snowflake offerings and experience

* Review and implement best practices to design, develop, maintain, scale, efficiently monitor data pipelines and data models on the Snowflake platform for

ETL or BI.

* Optimize complex SQL queries for data extraction, transformation, and loading within Snowflake.

* Ensure data quality, integrity, and security within the Snowflake environment.

* Participate in code reviews and contribute to the team's development standards.

Education:

* Bachelor’s degree in computer science, Data Science, Information Technology, or anything equivalent.

* Relevant Snowflake certifications are a plus (e.g., Snowflake certified Pro / Architecture / Advanced).

Experience - 1 to 2 years

Budget - As per Industry norms

Work Type - Onsite / Full time

Candidate must have experience in Digital marketing & Advertising agency

Job description:

The ideal candidate will have strong creative skills and a portfolio of work which demonstrates their passion for design.

Responsibilities:

• Collaborate with the team to ensure consistency of designs across various media outlets
• Create strategic and effective branding and marketing collateral both print and digital
• Maintain awareness of current industry and technology standards, social media, competitive landscape and market trends

Experience: 1- 5 Years

Job Location: WFH

No. of Position: Multiple

Qualifications: Ph.D. Must have

Work Timings: 1:30 PM IST to 10:30 PM IST

Functional Area: Data Science

NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems.

Job Responsibilities:

• Leverage AI/ML modeling and algorithms to deliver on use cases
• Build modeling solutions at speed and scale to solve business problems
• Develop data science solutions that can be tested and deployed in Agile delivery model
• Implement and scale-up high-availability models and algorithms for various business and corporate functions
• Investigate and create experimental prototypes that work on specific domains and verticals
• Analyze large, complex data sets to reveal underlying patterns, and trends
• Support and enhance existing models to ensure better performance
• Set up and conduct large-scale experiments to test hypotheses and delivery of models

Skills, Knowledge, Experience:

• Must have Ph.D. in an analytical or technical field (e.g. applied mathematics, computer science)
• Strong knowledge of statistical and machine learning methods
• Hands on experience on building models at speed and scale
• Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results
• Strong skills in oral and written communication
• Ability to lead a high-functioning team and develop and train people
• Must have programming experience in SQL, Python and R
• Experience conceiving, implementing and continually improving machine learning projects
• Strong familiarity with higher level trends in artificial intelligence and open-source platforms
• Experience working with AWS, Azure, or similar cloud platform
• Familiarity with visualization techniques and software
• Healthcare experience is a plus
• Experience in Kafka, Chatbot and blockchain is a plus.

We are looking for a bright and exceptional Engineering Manager to join our Hyderabad based Technology team. The role involves building complex next generation product used by our clients and architecting solutions to support new technical and business initiatives.

What you’ll do: • Manage, design, execute and take complete responsibility for the delivery and maintenance of software projects/products • Help the team translate the business requirements into R&D tasks • Work with business groups to outline project deliverables and manage the roadmap of the R&D tasks • Work with Technical Relationship managers to understand the client initiated R&D requests • Act as a point of contact for managing and driving production defects to resolution • Tailor processes to help manage time-sensitive issues and bring them to appropriate closure • Engage and manage team of highly talented technologists, and aid in them grow professionally with regular mentoring

What you’ll need: • A bachelor’s degree in Computer Science with 8+ years of experience, fintech domain is a plus • Demonstrated track record of end-to-end delivery of enterprise-grade software • Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence • Superior project management skills to ensure high-quality and timely solution delivery

• Attention to detail and quality, and the ability to work well in and across teams • Ability to advocate & influence multiple stakeholders • Excellent analytical and reasoning skills • Ability to learn new domains and deliver output • Experience leading a team of highly skilled engineers • Strong communication skills

Members of the Arcesium Company Group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class.