Growth Hacker

Role & Responsibilities

Take end-to-end ownership of critical backend services — from architecture and development to deployment and scale.

Design systems for performance, reliability, and observability. Identify bottlenecks and eliminate them proactively.

Collaborate with product and design to deeply understand user pain points and build the right solutions.

Work independently and own complex modules with minimal oversight.

Champion clean, maintainable code and help set a high bar for engineering excellence across the team.

Stay up-to-date with new tools, technologies, and backend trends — and bring the best ideas into our stack.

Ideal Candidate

2+ years of backend development experience, ideally with Kotlin and Spring Boot (or willingness to ramp up quickly).

You’ve worked in fast-moving teams and thrive when given room to figure things out.

You take initiative and can drive complex modules to completion without needing constant guidance.

Strong with both low-level and high-level design; you know how to build scalable, reliable RESTful APIs.

Proficient with relational databases and aware of common performance pitfalls.

Confident with debugging and optimizing — memory leaks, latency issues, and other hard-to-find problems don’t scare you.

You write clean, testable code and know how to leave systems better than you found them.

You bring a product mindset — caring not just about what’s built, but why and how it delivers value to users.

Description

Job Description

Founded in 2015, GreenTree Group is a cutting-edge real estate investment and asset management firm based in China. At GreenTree, we focus on acquiring high-quality, low-cost assets at significant discounts and transforming them through repositioning, leasing, and reselling. Leveraging our expertise and deep local networks, we consistently identify and unlock hidden value in overlooked opportunities using innovative, technology-driven methods.

Job Highlights

As a Data Science Analyst Intern for Microsoft Power Automate Projects, you will bridge the gap between data analytics and automation. You will play a pivotal role in designing, developing, and refining automated data workflows that enhance our business processes. By collaborating with cross-functional teams, you will help drive operational efficiency and data-driven decision-making across the organization—all while gaining real-world experience in data science and process automation.

Responsibilities

Design & Development: Work on building and optimizing automation workflows using Microsoft Power Automate to streamline critical business processes.

Data Integration: Collect and integrate data from various sources such as databases, APIs, spreadsheets, and web services to support analytic initiatives.

Analysis & Reporting: Utilize tools like Excel, SQL, and Python to analyze data, identify trends, and generate actionable insights that inform strategic decisions.

Collaboration: Partner with data, operations, and engineering teams to identify automation opportunities that improve efficiency and reduce manual effort.

Documentation: Develop process documentation, including detailed workflow diagrams, to ensure clarity and repeatability of automation processes.

Continuous Improvement: Assist in testing, deployment, and iterative refinement of automated solutions to maintain optimal performance and reliability.

What We Offer

Comprehensive Training: Access to extensive training materials and support to enhance your technical and professional skills.

Mentorship: Regular feedback and guidance sessions with supervisors and directors to foster your growth in data analytics and process automation.

Career Development: Opportunities for increased responsibility and project leadership based on performance and results.

Real-World Impact: Direct involvement in high-impact projects that drive operational improvements and technological innovation.

Requirements

Educational Background: Pursuing or holding a degree in Data Science, Computer Science, Information Systems, or a related field.

Technical Skills: Proficiency in data analysis using Excel; familiarity with SQL, Python, or other programming languages is preferred.

Automation Exposure: Exposure to Microsoft Power Automate, Power Apps, or similar RPA tools is an asset.

Analytical Mindset: Strong logical reasoning and problem-solving capabilities, with an eagerness to learn and explore new solutions.

Communication: Excellent verbal and written communication skills, with the ability to clearly present complex information.

Team Player: A proactive and collaborative approach to working within cross-functional teams.

About GreenTree GreenTree Group is dedicated to delivering innovative solutions in real estate investment and asset management. Our mission is to build lasting relationships with our investors by utilizing advanced technology to optimize processes and deliver exceptional value. We pride ourselves on our commitment to excellence, creativity, and integrity in every project we undertake.

Location Shanghai, China

Start your career with GreenTree and gain invaluable experience at the intersection of data science, automation, and real estate operations!

Job Type: Full-time

Pay: $50 per month

Work Location: Remote

Role: Accounts Executive

Location: Telibandha, Raipur 

_*Job Responsibilities:*_

-Booking of Sales and Purchase Order

-Banking duties, collection of OS

-Making of MIS Report

-Proactively involved in admin related tasks

-Vendor/Customer Handling

_*Required Experience:*_

-2+ years of experience in Accounting (Support)

-Candidates from Transportation/Logistics/Trading are preferred

Responsibilities:

·       Sales forecasting: Develop and maintain accurate sales forecasts to help the organization make informed decisions on sales targets, revenue goals, and resource allocation.

·       Pipeline management: Analyze and optimize the sales pipeline to ensure a consistent flow of qualified leads and opportunities, and work closely with the sales team to identify areas of improvement.

·       Sales process optimization: Continuously evaluate and optimize the sales process to maximize efficiency and effectiveness, and work with cross-functional teams to implement best practices and tools.

·       Sales reporting and analysis: Provide regular sales reports and analysis to identify trends and areas of opportunity, and work with the sales team to develop actionable insights.

·       Sales enablement: Work closely with the sales team to provide the tools, resources, and training they need to succeed, including sales training, product information, and customer insights.

·       Territory management: Develop and manage sales territories to maximize revenue potential and ensure a balanced workload for sales reps.

Requirements:

·       Master's degree in business, marketing, or a related field is preferred.

·       3 to 8 years of experience required in sales.

·       Strong knowledge of consumer appliances, their features, and market trends.

·       Excellent communication and interpersonal skills to build rapport, team management & conflict management.

·       Self-motivated and target-oriented, with a proactive approach to achieving sales goals.

Ability to work independently, as well as collaboratively within a team environment

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

We're looking for someone to join a team dedicated to building performant APIs and backend services that deal with large volumes of data for the company's flagship, global consumer product. Small, high-impact teams require conscious planning and decision-making when it comes to design, architecture, and product features. So, it's essential that you enjoy working in such an environment.

We're a team that cares about simplicity and being able to build reliable, deterministic systems and platforms. Hence, our choice of tooling is usually battle-tested reliable software with a robust test suite.

How we work

1. You won't deal with the hustle culture. We're focused on building well-thought-out, stable and reliable software and we try our best to ensure everyone understands the big picture and the immediate goals.
2. We work a solid 6-8 hour days and don't slave away 24/7.
3. We're a remote engineering team. This makes effective communication extremely important. Our teams have benefitted greatly from good written communication. This includes everything from the product specification to the API spec. We spend a lot of time writing READMEs. As a result our engineers work with greater clarity and planning.
4. We deploy several times a day and rely on a good test suite to ensure we're not making life hard for our colleagues.
5. We don't expect anyone to know everything, but we are curious and learn along the way.
6. We learn about the fitness space and what it means to really be fit and not just Instagram fit.

The Python Backend Engineer position may be a good fit for you if:

1. You have 3 (or more) years of experience building and maintaining cloud applications.
2. You have built APIs with Python, Flask, Django or FastAPI before.
3. You have experience working with relational databases like PostgresSQL or MySQL and have spent time writing SQL queries for large datasets.
4. Experience in writing Unit tests with pytest.
5. You have worked with Docker, docker-compose.
6. Familiarity with the AWS ECS stack.

We want you to care about

1. Good object oriented design
2. Performant APIs
3. Analysing why queries are slow and how to go about improving them.
4. Understanding DNS, Load balancing, Caching and Hashing.
5. Customer data and privacy.

Our API Stack services use:

1. Python 3.8+, Typescript
2. FastAPI, Flask, HapiJs
3. PostgresSQL, MySQL
4. Redis
5. Celery
6. Pytest, Jest for unit testing.
7. Gitlab CI/CD
8. Amazon ECS container services

• Setting up the annual brand calendar, coordinating cross-functional activities and ensuring consistency in brand-related decisions
• Reporting on brand performance to determine ROI
• Analysing competitor brands, shopping behaviours as well as consumer trends
• Creating brand budgets
• Coordinating with internal and external stakeholders to deliver high performing creatives
• Ensuring the rapid growth of the brand

What you need to have:

• MBA in Marketing from a tier 1/ tier 2 Business School
• Prior experience in working with brands in wellness/ nutrition
• Solid understanding of packaging, marketing communication, new product launch, market places etc.
• Excellent verbal and written communication skills