Experience in Program Management / Strategic Planning / Demand Planning.
● Must be from Tier-1 academic background (IIT, , NIT, NSU preferred).
● Need candidate from Ecommerce and Startup only.
● Strong demand-planning and business acumen with the ability to identify growth and whitespace opportunities.
● Candidate should have proven ability to build programs from 0–1 (Scratch - End) and drive initiative execution.
● Excellent stakeholder management & presentation skills, with strong proficiency in MS Excel.
● Experience in forecasting & planning tools, and the ability to thrive in fast-paced, ambiguous environments.
● Candidate must have Leadership ability to execute cross-functional projects, turning strategy into clear, measurable results.
● Candidate having Founder's Office Experience will be an added advantage.
● Candidate having OTA Channel's (Online Travel Agency) working experience will be considered a strong plus.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Department: Inside Sales – Domestic (B2C)
Employment Type: Full-Time
Qualification:
- Minimum: SSC (10th Pass) or HSC (12th Pass)
Language Requirements:
- Mandatory: English + Hindi
- Preferred: English + Hindi + Any Regional Language
Experience Required:
- Minimum 1 year of experience in:
- BPO Sales (Domestic Voice Process)
- Inside Sales / Tele-Sales
- Collections / Pre-Sales / Lead Generation
- (B2C experience preferred)
Key Skills:
- Excellent communication in English & Hindi
- Confident and persuasive approach
- Strong in up-selling and lead conversion
- Target-driven & self-motivated
- Ability to handle objections and customer queries
- Good listening and interpersonal skills
Roles & Responsibilities:
- Make outbound sales calls to domestic leads/customers
- Understand customer requirements and pitch suitable products/services
- Drive lead generation and convert leads into sales
- Maintain CRM records and update call logs
- Follow-up with prospects and handle queries effectively
- Achieve daily/weekly/monthly sales targets
- Deliver excellent customer experience through quality conversations
Company: Pixerize Inc.
Location: Remote (Preference for BC, Canada)
Job Type: Full-Time | Start Date: Immediate
About Pixerize
At Pixerize, we help businesses automate operations, elevate their digital presence, and dominate their market. We're a fast-growing solutions provider focused on systemized growth and global scalability. Our team thrives on strategy, simplicity, and execution.
Role Overview
We're hiring a Social Media Manager to lead and execute content scheduling and management across all digital platforms, including Instagram, Facebook, LinkedIn, X (Twitter), TikTok, YouTube Shorts, and email newsletters.
This role is key to maintaining a consistent brand voice, publishing high-quality content without errors, and ensuring we're on top of social trends that drive growth. We currently use Metricool as our central tool for managing, scheduling, and analyzing performance across platforms.
Responsibilities
- Manage content calendars and scheduling across all major social platforms.
- Coordinate content publishing with internal creatives (writers, designers, video editors).
- Schedule and manage branded newsletters and email campaigns.
- Monitor content trends and audience behavior to optimize strategy.
- Perform thorough QA checks—no errors, no exceptions.
- Use tools like Metricool, Zapier, or Hootsuite to automate workflows.
- Track KPIs and report engagement metrics weekly.
KPIs & Performance Metrics
- Zero content errors (grammar, design, links, formatting).
- Timely, consistent publishing aligned with brand goals.
- Growth in reach, engagement, and follower base.
- Incorporation of trends and data insights to enhance content performance.
Requirements
- 2+ years managing social media or digital content.
- Proficiency with scheduling and analytics tools (Metricool, Meta Suite, LinkedIn Analytics, Mailchimp, etc.).
- Exceptional attention to detail and communication skills.
- Self-starter comfortable in fast-paced, startup environments.
Nice to Have
- Experience in SaaS, small business marketing, or automation tools.
Role: Video Editor [a.k.a. Motion Storyteller]
Experience: 2+ years in video editing and content creation
Location: Gandhinagar, Gujarat (On-site)
Requirements
- Strong portfolio demonstrating diverse video editing skills
- Mastery of Adobe Premiere Pro and After Effects
- Experience with short-form content (Reels, Stories, TikTok)
- Ability to edit long-form content (YouTube, documentaries)
- Understanding of motion graphics and animation principles
- Strong audio editing and music selection skills
- Knowledge of current social media trends and video formats
- Experience in color grading and visual effects
- Ability to maintain consistent brand identity in videos
- Photography and videography skills (big plus)
Key Responsibilities
- Create and edit video content across multiple formats and platforms
- Transform complex design concepts into digestible visual stories
- Direct and shoot video content when needed
- Manage end-to-end video production from concept to final delivery
- Collaborate with marketing and communication teams on content strategy
- Maintain consistent visual style across all video content
- Handle quick-turnaround edits for social media
- Organize and maintain our video content library
- Stay updated with the latest video trends and techniques
- Train team members in basic video production skills
As our video editor, you'll be crafting:
- Engaging social media content (Reels, Stories, Long Form videos)
- In-depth process videos and case studies
- Studio culture and behind-the-scenes content
- Product launch and promotional videos
- Event coverage and documentation
- Educational and tutorial content
- Podcast video content
- Brand videos and showreels
You'll be instrumental in:
- Elevating our visual storytelling
- Building our video content library
- Setting quality standards for our video content
- Training team members in basic video skills
- Documenting our design process and impact
- Creating template and style guides for video content
Machine Learning (ML)
Deep LearningJob Title: AI/ML Engineer
Expereince: 5+ Years
Location: Remote
Responsbilities
Algorithm Development:
• Design and develop cutting-edge algorithms for solving complex business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.
Content Customization:
• Implement content customization strategies to enhance user experience and engagement.
• Work closely with stakeholders to tailor AI/ML models for specific business needs.
Data Collection and Preprocessing:
• Develop robust data collection strategies to ensure the availability of high-quality datasets.
• Implement preprocessing techniques to clean and prepare data for model training.
Model Training and Evaluation:
• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.
• Conduct rigorous evaluation of models to ensure accuracy and reliability.
Monitoring and Optimization:
• Implement monitoring systems to track the performance of deployed models.
• Continuously optimize models for better efficiency and accuracy.
Data Analytics and Reporting:
• Leverage statistical modelling techniques to derive meaningful insights from data.
• Generate reports and dashboards to communicate findings to stakeholders.
Documentation:
• Create comprehensive documentation for algorithms, models, and implementation details.
• Provide documentation for training, deployment, and maintenance procedures.
Skills:
- 6+ years of experience in AI/ML engineering.
- Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
- Experience in Natural Language Processing (NLP) and Computer Vision.
- Expertise in Generative AI techniques.
- Familiarity with cloud platforms such as Azure and AWS.
- Strong background in statistical modelling and content customization.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration skills
*Experienced Candidates Required
* Candidates from Jaipur are Preferred.
* Work from an office job
* Immediate Joiners needed
* Candidates from Jaipur city will be given preference.
SEO Executive Responsibilities:
- Conducting on-site and off-site analysis of web SEO competition.
- Using Google Analytics to conduct performance reports regularly.
- Creating high-quality SEO content.
- Assisting with blog content.
- Leading keyword research and optimization of content.
- Keeping up-to-date with developments in SEM.
- Research and analyze competitor advertising links
- Develop and implement a link-building strategy
React.js
Javascript
Redux/Flux
HTML/CSS- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Thorough understanding of React.js and its core principles
- Experience with popular React.js workflows (such as Flux or Redux)
- Familiarity with newer specifications of ECMAScript
- Experience with data structure libraries (e.g., Immutable.js)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Familiarity with modern front-end build pipelines and tools
- Ability to understand business requirements and translate them into technical requirements
- A knack for benchmarking and optimization
- Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
Experience: 1 - 4 Years
Location: 5th Floor, Gopalan Mall, Bannerghatta Road, JP Nagar, Bangalore
Working Days: 5
Timing: 9:30am – 6:30pm
Salary: Negotiable
1. Diploma/Bachelors/MBA/
2. Impressive Spoken & Written Communication skills
3. Flexible, Creative, Talkative & Traveller
4. Believes in Service as a PASSION.
KRA’s:
Self start & Stop Recruitment cycles
Chase, Bother & Convince suitable Talent using tools like Portals, Digital platform, Search, Headhunt & References.
We both are lucky if you know Overseas Recruitment procedure for Middle East/ Europe
Know the Art of search/ filter/ shortlist CVs & Interview Scheduling. And Follow-ups/ Negotiations & Professional Relations.
Analyze/ Assess Candidates Psychology for factors like Integrity, Commitment, Honesty etc.
MS Office Skills for Data Management & Reporting. Must know the difference between Targets & Time pass.
Decision Maker with Fluency in English
Good Convincing & Negotiation Skills
Ready to accept any type of Marketing challenges.
Kubernetes
Docker
Amazon Web Services (AWS)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
Data Science
PythonMachine Learning (ML)Deep LearningWork shift: Day time
- Strong problem-solving skills with an emphasis on product development.
insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
Key skills:
● Strong knowledge in Data Science pipelines with Python
● Object-oriented programming
● A/B testing framework and model fine-tuning
● Proficiency in using sci-kit, NumPy, and pandas package in python
Nice to have:
● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
● Unit testing, Test-driven development practice
● DevOps, Continuous integration/ continuous deployment experience
● Agile development environment experience, familiarity with SCRUM
● Deep learning knowledge
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon