Senior Product Manager

Greetings from Zealous Services!!!

Position Overview:

We are seeking a talented and versatile 3D Generalist to join our team. The ideal candidate will have a strong foundation in 3D modeling, texturing, animation, and rendering, with the ability to work on a variety of projects across different platforms.

Designation: 3D Generalist (Texturing artist)

Experience: 2+ yrs

Shift: Rotational shift

Location: Chennai (Nungambakkam)

Key Responsibilities:

• Create high-quality 3D models, textures, and animations for use in various projects
• Collaborate with the creative team to develop concepts and bring them to life in 3D
• Must demonstrate an understanding of technical art production and end-to-end modeling, UV unwrapping, texturing and rendering.
• Fast turnaround on both hard-surface and organic modeling is a must.
• Stay updated on industry trends and techniques to enhance the quality of our projects
• Communicate effectively with team members to ensure project requirements are met within deadlines

Requirements:

• Bachelor's degree in Animation, Computer Graphics, or related field (or equivalent experience)
• Proven experience as a 3D Generalist or similar role
• Proficiency in industry-standard software such as 3Ds Max, V-ray Rendering etc.
• Strong portfolio showcasing a range of 3D projects and styles
• Highly proficient in building product accurate photo-realistic 3D shades and texture
• Excellent understanding of 3D modeling, texturing, animation, and rendering techniques
• Ability to work both independently and collaboratively in a fast-paced environment
• Strong problem-solving skills and attention to detail

Company profile: www.zealousxr.com

Job Title

Web Analyst (Google Analytics Specialist)

Company

Suntek AI – AI-driven e-commerce solutions provider helping global retailers streamline operations and accelerate growth.

Location

India — Remote-only

Role Overview

We’re looking for a data-savvy Web Analyst with 2–4 years of hands-on Google Analytics (GA4) experience—preferably gained while working on Shopify or other e-commerce storefronts. You’ll own the end-to-end analytics workflow—from tagging and data quality to reporting, experimentation, and presenting insights that move revenue and retention metrics for Suntek AI and its clients.

Key Responsibilities

• Implement & maintain tracking
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• Configure GA4 properties, data streams, and enhanced-ecommerce events for Shopify and custom stores
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• Deploy and debug tags via Google Tag Manager (GTM) and robust data layers
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• Data quality & governance
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• Audit existing implementations, eliminate double-counting, and enforce naming conventions
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• Set up filters, channel groupings, and cross-domain tracking for a single view of the customer
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• Analysis & insight generation
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• Build dashboards for traffic, conversion funnels, cohort retention, and LTV
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• Slice data by channel, device, geography, and campaign to uncover growth opportunities
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• Experimentation support
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• Partner with Growth and Product teams to design A/B tests; measure lift and statistical significance
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• Reporting & storytelling
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• Translate complex datasets into clear, actionable recommendations for stakeholders and clients
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• Present findings in weekly business reviews and ad-hoc deep dives

Required Qualifications

Must-Have

Details

Experience

2–4 years working with Google Analytics (UA & GA4) in Shopify or broader e-commerce environments

Technical

Strong command of GA4 events, GTM, data-layer specs, attribution modeling, and Looker Studio

Analytical

Proficient in Excel/Sheets; comfortable with SQL basics for ad-hoc queries

Communication

Ability to distill insights into plain language and persuasive visuals

Education

Bachelor’s in Analytics, Statistics, Economics, Engineering, or related field (or equivalent experience)

Nice-to-Haves

• Hands-on experience with Shopify Admin/API events, checkout funnels, and app ecosystem analytics
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• Working knowledge of BigQuery exports, server-side tagging, or CDPs (Segment, RudderStack)
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• Familiarity with CRO tools and heat-mapping platforms (Hotjar, Clarity)
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• Basic scripting (Python/JavaScript) for data automation

What We Offer

• Growth runway — direct impact on marquee e-commerce brands’ revenue
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• Learning budget — GA4 certifications, analytics conferences, and courses covered
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• Flexible schedule — remote-first culture with quarterly in-person meetups

We are looking for a Full Stack Developer to produce scalable software solutions. You'll be part of a cross-functional team that's responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Too familiar with Agile methodologies.

Responsibilities

• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation

Requirements

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks like LAMP Stack and Mean Stack...
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. PHP, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, Statistics or relevant field

CommerceIQ is Hiring Data Scientist (3-5 yrs)

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles

• Work on data science roadmap and build the core engine of our flagship CommerceIQ product

• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

• Work with large scale ecommerce data of the biggest brands on amazon

• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems

• Drive productization of techniques to be made available to a wide range of customers

• You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers

• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage

• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required

• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage

• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects

• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact

• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
• Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

• Data Scientist: 3 years (Required)

Application Question:

• Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)