
- Strategizing & executing to improve Key Retention Metrics i.e Repeat Rate, % of Repeat Revenue, Revenue Per Customer, etc.
- Analyzing Regular Customer Cohort Performance, both on a product & company level.
- Developing the product subscription business on the website.
- Build retention marketing campaigns based on customer segmentation.
- Drive User Engagement in Lower Funnels using user engagement platforms
- Build the Customer Loyalty Programme for the brand.
- Creating Email & Marketing Strategy to increase repeat rate & overall basket size.
- Profiling Key Customer Groups Regularly
- Conducting Survey & Research to better understand Repeat Customer Behaviour & Habits
- Analyze and track performance - activation, engagement, retention and churn data analyzing experience is required.

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About Pixerize
Pixerize is an automation-first business solutions company helping small and mid-sized businesses scale globally. We bring strategy, systems, and digital execution together to help our clients dominate their markets. Now, we’re looking for a Sales Closer who’s ready to convert leads into deals and make a serious impact.
Role Overview
We’re seeking a high-performance Sales Closer who knows how to pitch, handle objections, and seal the deal. You’ll be on the front lines speaking directly with inbound and qualified leads, pitching the value of Pixerize, following up persistently, and turning interest into revenue. If "no" just motivates you more—this role is for you.
Responsibilities
- Take discovery and pitch calls with warm leads and prospects.
- Present tailored solutions and close deals confidently.
- Handle objections with professionalism and confidence.
- Build rapport and maintain strong client communication throughout the sales cycle.
- Follow up consistently to guide leads through the pipeline.
- Collaborate with marketing and operations to align messaging and delivery.
- Track progress in CRM and meet (or exceed) monthly sales targets.
KPIs & Performance Metrics
- Number of deals closed monthly.
- Conversion rate from discovery to close.
- Follow-up responsiveness and pipeline management.
- Contribution to revenue growth targets.
- Feedback from leads on communication and experience.
Requirements
- 2+ years of experience in a sales role, ideally in tech, services, or startups.
- Strong public speaking and on-call presentation skills.
- Proven ability to close deals and meet quotas.
- Excellent written and verbal communication.
- Persuasive, resilient, and confident under pressure.
- Comfortable working in a remote, fast-paced team environment.
Nice to Have
- Familiarity with CRMs like HubSpot, Pipedrive, or Close.
- Experience selling marketing, automation, or digital services.
- Basic understanding of lead funnels and sales automation.


Python Engineer
Job Description:
• Design, develop, and maintain scalable and efficient micro-services using
Python and related frameworks (e.g., Flask, FastAPI,pytest).
• Develop Python scripts and tools to automate deployment, configuration
management, monitoring, and maintenance of our systems.
• Design and implement API automation tests to ensure the reliability and
performance of our software products.
• Troubleshoot and resolve issues related to automation processes,
performance bottlenecks, and system failures.
• Integrate backend automation processes with CI/CD pipelines for seamless
deployment and continuous improvement.
• Optimize and refactor code to improve the scalability and maintainability of
frameworks/services.
• Collaborate with cross-functional teams to understand automation
requirements and design scalable, efficient backend automation solutions.
• Stay up-to-date with the latest industry trends, tools, and technologies
related to python backend frameworks.
Job Requirements:
• Bachelor's degree in Computer Science, Engineering, or related field (or
equivalent experience).
• 3+ Years of experience as a Python Developer with a strong focus on
automation.
• Proficiency in Python programming, including experience with libraries such
as Flask, Django, or FastAPI.
• Understanding of software design principles, data structures, and algorithms.
• Experience with database systems, including SQL and NoSQL databases.
• Familiarity with version control systems, preferably Git.
• Knowledge of containerisation technologies such as Docker.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and
infrastructure as code (IaC) tools.
• problem-solving skills and the ability to debug complex automation issues.
• Excellent teamwork and communication skills.
• Ability to work in an agile development environment and adapt to changing
requirements.

Job Title: Frontend Developer (React.js)
Location: Bangalore
Job Description:
Company is looking for a skilled Frontend Developer with experience in React.js to join our team at Timely.ai. In this role, you will be responsible for building and maintaining the user-facing side of our web applications. You will work closely with our designers and back-end developers to deliver high-quality, responsive, and interactive web experiences to our users.
Key Responsibilities:
- Develop new user-facing features using React.js
- Build reusable components and front-end libraries for future use
- Ensure the technical feasibility of UI/UX designs
- Optimize applications for maximum speed and scalability
- Collaborate with other team members to design and develop new features
- Stay up-to-date with the latest advancements in front-end technologies and frameworks
Qualifications:
- Strong proficiency in React.js, HTML, CSS, and JavaScript
- Experience with Redux or other state management libraries
- Experience with webpack and other build tools
- Experience with unit testing and end-to-end testing
- Strong understanding of web development principles and best practices
- Strong problem-solving and debugging skills
- Proven ability to work in a fast-paced, Agile development environment
- Strong communication and teamwork skills
- Bachelor's degree in Computer Science or related field or equivalent experience
We offer a competitive salary, benefits package, and an opportunity to work on cutting-edge technologies with a dynamic team. If you are passionate about building great user experiences and want to make a difference in the world, we want to hear from you!
Please apply with your resume and a portfolio of your work
Roles and Responsibilities
- Calling people who have filled the signup or contact form
- Finding leads online/offline who match the criteria of the target customer
- Make cold calls to the leads generated
- Handle both outbound/inbound calls
- Update systems, CRMs, Excels, Google Sheets
- Give platform demo to interested customers
- Write articles/knowledge base for tutorials on how to use the product
- Support customers for any queries about the product
Desired Candidate Profile
- Should have great convincing skills
- Should have strong negotiating skills
- Should be able to pitch the client understand the customer instead of repeating a fixed sales pitch
- Should have always achieved targets or beyond
- Should be able to Tech Savvy
- Go-getter attitude, self-starter, instead of manager or management having to follow up to get work done or to remind about targets
- Well organized with handling data, sales funnel and reaching out to the customers on time
- Soft-spoken and delight for customers to speak to
- Must have email writing skills to follow up or share information
- Can be on phone for a long time and familiar with using dialer systems
Should have experience in Big Data, Hadoop.
Currently providing WFH.
immediate joiner or 30 days
- Quick & Excellent Problem solving skills for complex & large scale problems
- Exposure to a wide variety of problem spaces, technologies
- Very Strong System design and OO skills with a nifty ability to craft clean interfaces and operate at the right levels of abstraction
- Solid coding skills with ability to drive teams through massive refactoring exercise & improve coding standards across large code bases
- Deep knowledge, understanding & experience of working with a large variety of multi-tier architectures.
- Awareness of pitfalls & use cases for a large variety of solutions
- Deep understanding & experience of high performance web scale & real-time response systems with experience & expertise in a variety of large scale persistent systems including large databases
- Exposure to complete product development cycles - From inception to production to scaling up, supporting new requirements, re-architectures the Principle architects should have seen it all and ideally in multiple cycles.
- Should have been part of scalable product development cycles with either large data handling or large transaction processing exposure for 5 years
- Must have worked in a small setup (either a startup or a small & reasonably independent team)
- 8+ years of overall experience
- B Tech or higher in Computer Science or equivalent required



What you will be doing:
As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -
- Dive into the data and identify patterns
- Development of end-to-end Credit models and credit policy for our existing credit products
- Leverage alternate data to develop best-in-class underwriting models
- Working on Big Data to develop risk analytical solutions
- Development of Fraud models and fraud rule engine
- Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
- Working on cutting-edge techniques e.g. machine learning and deep learning models
Example of projects done in past:
- Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
- Fraud model development, deployment and rules for EMEA region
Basic Requirements:
- 1-3 years of work experience as a Data scientist (in Credit domain)
- 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
- Strong problem solving and understand and execute complex analysis
- Experience in at least one of the languages - R/Python/SAS and SQL
- Experience in in Credit industry (Fintech/bank)
- Familiarity with the best practices of Data Science
Add-on Skills :
- Experience in working with big data
- Solid coding practices
- Passion for building new tools/algorithms
- Experience in developing Machine Learning models


