Lead Product Designer

Position: E-Commerce Manager

Location: Jaipur

Salary: Up to ₹50,000 per month

Experience Required: 3+ Years

Qualification: Graduate

Working Hours: 9 Hours per Day

6 Days a Week

Job Overview

The E-Commerce Manager will oversee the company’s online sales platforms, drive digital revenue growth, and enhance customer experience. The role involves coordinating with marketing, operations, and logistics teams to optimize website performance, increase conversions, and ensure smooth online operations.

Key Responsibilities

·        Platform Management

Manage day-to-day operations of all e-commerce platforms.

Oversee product listings, catalog management, merchandising, and pricing updates.

Ensure smooth functioning of the website and online marketplaces.

·        Digital Strategy

Collaborate with the marketing team for SEO, PPC, email marketing, and social media campaigns.

Plan and execute strategies to improve online visibility and sales performance.

Monitor competitor activities and market trends.

·        User Experience (UX)

Conduct regular website audits to improve navigation and mobile responsiveness.

Ensure a seamless and user-friendly checkout process.

Optimize customer journey and overall shopping experience.

·        Performance Analytics

Track and analyze KPIs such as conversion rate, bounce rate, traffic, and ROI.

Generate reports and provide data-driven recommendations for improvement.

Use analytics tools like Google Analytics and CRM systems effectively.

·        Inventory & Fulfillment

Coordinate with inventory and logistics teams to maintain stock availability.

Ensure timely order processing and delivery.

Monitor returns, refunds, and customer satisfaction metrics.

Required Skills & Qualifications

·        Proficiency in e-commerce platforms such as Shopify, Magento, WooCommerce, or Salesforce Commerce Cloud.

·        Strong understanding of digital marketing and online merchandising.

·        Experience with Google Analytics, CRM tools, and reporting systems.

·        Knowledge of inventory management and supply chain coordination.

·        Excellent communication, analytical, and problem-solving skills.

Preferred Candidate Profile

·        Strong leadership and coordination abilities.

·        Detail-oriented with a customer-focused mindset.

·        Ability to manage multiple tasks and meet deadlines efficiently.

Experience Required: 2-8 Years

No. of vacancies: 1

Job Type: Full Time

Vacancy Role: WFO

Job Category: Development

Job Description

We are seeking a skilled React Native Developer with 2+ years of experience to join our development team. The ideal candidate will have a strong background in mobile application development, particularly using React Native framework. If you have a passion for building innovative mobile applications and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity. Join us and be part of a dynamic team driving the future of mobile technology.

Roles & Responsibilities:

• Developing and maintaining high-quality mobile applications using React Native.
• Collaborating with cross-functional teams to define, design, and ship new features.
• Writing clean, efficient, and maintainable code while following best practices.
• Troubleshooting and debugging issues to ensure optimal performance and user experience.
• Keeping up-to-date with the latest trends and technologies in mobile development.
• 4+ years of experience in mobile application development.
• Proficiency in React Native framework and JavaScript programming.
• Strong understanding of mobile app architecture and design patterns.
• Experience with third-party libraries and APIs.
• Solid understanding of version control systems (e.g., Git).
• Excellent problem-solving and communication skills.

Qualification:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• B.Tech/MCA/M.SC(IT) Candidate will be eligible. 

Strong Enterprise Customer Success Manager Profile (CPaaS / Telecom / B2B SaaS / Communication Platforms)

Mandatory (Experience 1) – Must have overall 6+ years of professional experience, with a minimum 3+ years specifically in Customer Success / Enterprise Account Management roles within CPaaS, Telecom, Communication Technology, Contact Center SaaS, or B2B SaaS organizations.

Mandatory (Experience 2) – Must have minimum 3+ years of experience managing enterprise-grade accounts with portfolio/account sizes of $50K+ ARR, preferably within communication platforms, customer engagement solutions, CRM ecosystems, or contact center products.

Mandatory (Experience 3) – Must have demonstrated ownership of renewals, upsell, cross-sell initiatives, and Net Revenue Retention (NRR) targets. Candidates with experience in quota-carrying customer success or revenue ownership roles will be highly preferred.

Mandatory (Experience 4) – Must have strong experience owning the complete customer lifecycle post-sales, including onboarding, adoption, retention, account growth, strategic account planning, and customer success execution.

Mandatory ( Experience 5) – Must have experience orchestrating complex enterprise onboarding initiatives involving 5+ stakeholders and cross-functional teams, coordinating with Product, Support, Engineering, Operations, and Customer teams.

Mandatory ( Experience 6) – Must be comfortable engaging and presenting to C-level executives, Directors, VP-level stakeholders, and enterprise decision-makers, with proven ability to build strategic long-term relationships.

Mandatory (Experience 7) – Must have the ability to understand and explain SaaS product architecture, APIs, integrations, messaging workflows, telephony concepts, and enterprise product ecosystems at a functional level.

Mandatory (Tools) – Must be proficient in HubSpot or similar CRM platforms, Customer Success tools, reporting dashboards, and analytics platforms to monitor account health, customer usage, and engagement metrics.

Mandatory (Domain) – Candidate must possess hands-on working knowledge in at least two of the following ecosystems: CPaaS platforms, Cloud Contact Center solutions, Telecom/VoIP infrastructure, SMS & Messaging ecosystem, Political/Civic-tech platforms, or Nonprofit/Advocacy domains.

Mandatory (Note) - This role will operate in U.S. time zones and requires candidates to be comfortable working in night shifts (approximately 6:00 PM IST onwards).

Role & Responsibilities

Minimum required Accountabilities for this role-

• Conduct in-depth moderated and unmoderated user interviews using psychological frameworks (e.g., Prospect Theory, Cognitive Dissonance, System 1 & 2) to uncover latent motivations, emotional drivers, and behavioral barriers.
• Design, deploy, and analyze quantitative research studies (surveys, questionnaires, experiments) grounded in validated psychological models such as Theory of Planned Behavior (TPB), Big Five Personality Traits, and Self-Determination Theory.
• Synthesize qualitative and quantitative data into actionable insights by identifying underlying cognitive and behavioral patterns (e.g., loss aversion, anchoring bias, trust erosion).
• Translate research findings into structured outputs such as personas, mental models, journey maps, and behavioral frameworks that predict user behavior.
• Test UI/UX prototypes through usability and concept validation studies using tools like Figma, Maze, and UserTesting, leveraging models such as Fogg’s Behavior Model.
• Own end-to-end research execution including study design, participant recruitment, psychometric segmentation, data analysis, and insight storytelling.

Additional Accountabilities pertaining to the role-

• Partner closely with design, product, and business teams to convert behavioral insights into bias-aware recommendations, nudges, and experience improvements.
• Monitor fintech and behavioral science trends (e.g., hyperbolic discounting, decision fatigue) through diary studies, ethnographic research, and secondary analysis.
• Support business KPIs such as conversion, engagement, retention, and trust through evidence-backed research inputs.
• Contribute to the development of internal research standards, methodologies, and best practices.

Ideal Candidate

• Strong Behavioral Research / Behavioral Insights / Consumer Behavior Research Profiles
• Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior
• Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research
• Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements
• Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation
• Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology
• Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness
• Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams
• Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role
• Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)
• Candidates from institutes with strong behavioral research exposure are preferred
• Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms
• Mandatory (Note):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights
• Preferred (Skills): Exposure to behavioral experimentation, usability testing, journey analysis, or consumer psychology frameworks used to improve digital product experience
• Preferred (Gender) : Female candidates are highly preferred

Job Opportunity: Junior Accountant

Location: Sanpada, Navi Mumbai

Working Days: Monday to Friday + Alternate Saturdays

🎓 Qualification:

• CA (Appeared / Dropped out)

📋 Key Responsibilities:

• Handling GST compliance (filing, returns, reconciliations)
• Managing Income Tax and related filings
• Preparation and finalization of Balance Sheets
• End-to-end Accounts & Finance management
• Regular account reconciliations
• Liaising and dealing with government authorities
• Ensuring compliance with statutory regulations

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

We are seeking a talented Android Native Kotlin Developer to join our team. As an Android Developer, you will be responsible for designing, developing, and maintaining high-quality Android applications using Kotlin. You will collaborate with cross-functional teams to deliver user-friendly and efficient mobile solutions that meet business objectives.

Key Responsibilities:

1. Design and develop Android applications using Kotlin, adhering to best practices and coding standards.
2. Collaborate with product managers, UI/UX designers, and backend developers to define and implement features.
3. Write clean, efficient, and maintainable code with proper documentation.
4. Conduct thorough testing and debugging of applications to ensure high quality and performance.
5. Optimize application performance and troubleshoot any issues that arise.
6. Stay up-to-date with the latest industry trends, tools, and technologies related to Android app development.
7. Participate in code reviews to ensure code quality and provide constructive feedback to team members.
8. Work in an Agile development environment, actively participating in sprint planning, stand-ups, and retrospectives.
9. Collaborate with QA engineers to ensure proper testing and delivery of bug-free applications.
10. Continuously improve development processes and contribute to the overall improvement of the Android development team.

Qualifications and Skills:

1. Bachelor's degree in Computer Science, Software Engineering, or a related field.
2. Proven experience in Android app development using Kotlin.
3. Strong knowledge of Android SDK, Android Studio, and related development tools.
4. Solid understanding of object-oriented programming (OOP) principles.
5. Experience with RESTful APIs, JSON, and web services integration.
6. Proficient in version control systems such as Git.
7. Familiarity with agile development methodologies.
8. Strong problem-solving and analytical skills.
9. Excellent communication and collaboration abilities.
10. Ability to work effectively both independently and in a team environment.

Additional Preferred Skills:

1. Experience with Android Jetpack components (e.g., LiveData, ViewModel, Room, Navigation).
2. Knowledge of reactive programming using frameworks like RxJava or Kotlin Coroutines.
3. Familiarity with dependency injection frameworks like Dagger or Koin.
4. Understanding of Material Design guidelines and UI/UX principles.
5. Experience with automated testing frameworks like Espresso or JUnit.
6. Knowledge of software development best practices, including continuous integration and continuous deployment (CI/CD).
7. Prior experience working on large-scale mobile applications.

What you need to have: