Call Centre Manager

Product Manager (Data & Operations)

Experience: 2+ years

Must-Have: Candidate must have prior experience in a product-based company

Role Summary

We are looking for a highly analytical Product Manager to drive business growth through data analysis, operational efficiency, and structured experimentation.

This role will focus on identifying growth opportunities, reducing operational inefficiencies, improving unit economics, and building strong reporting systems across the ecommerce and AI-led product ecosystem.

You will work closely with Engineering, Marketing, Catalog, Operations, Finance, and Data teams to ensure decisions are backed by data and execution is operationally strong.

Key ResponsibilitiesData Analysis & Business Insights

• Own end-to-end funnel analysis (Impressions → CTR → ATC → Checkout → Purchase → Repeat)
• Identify drop-offs, leakages, and revenue gaps using SQL, GA, Clevertap
• Perform cohort analysis (new vs repeat, prepaid vs COD, personalized vs non-personalized users)
• Track and improve core metrics:
• Conversion Rate
• GMV & Revenue
• AOV
• Repeat Rate
• Cancellation & RTO %
• Margin contribution
• Build and maintain weekly/monthly dashboards for leadership visibility
• Translate raw data into clear, actionable insights

Operational Excellence

• Identify operational bottlenecks impacting conversion and fulfillment
• Analyze cancellation drivers & reduce COD RTO risk
• Improve payment success rates and checkout efficiency
• Work with logistics teams to optimize delivery timelines
• Collaborate with catalog & brand teams to improve SKU performance
• Monitor inventory health, sell-through rate, and stock rotation
• Drive pricing and margin optimization initiatives

Experimentation & Performance Improvement

• Run structured A/B tests to improve funnel performance
• Define clear hypotheses, success metrics, and impact measurement
• Analyze experiment results and recommend rollouts
• Build scalable processes for experimentation cadence

Cross-Functional Execution

• Convert insights into PRDs and operational roadmaps
• Partner with engineering for sprint-based delivery
• Align marketing, catalog, and operations on metric ownership
• Ensure every feature launch has measurable business KPIs

Must-Have Skills

• Strong analytical mindset and comfort with large datasets
• Advanced Excel / Google Sheets
• Strong SQL proficiency (mandatory)
• Experience with GA, Clevertap, Mixpanel or similar tools
• Experience working on ecommerce funnels
• Understanding of unit economics (GMV, margins, CAC, LTV)
• Strong problem-solving and structured thinking

Bonus Skills

• Experience in ecommerce marketplace or D2C
• Experience working with logistics, payments, or inventory systems
• Exposure to AI-led recommendation systems
• Experience building business dashboards

What Success Looks Like (First 6 Months)

• Clear dashboard visibility across all core business metrics
• 10–15% improvement in funnel conversion
• Reduction in cancellation & RTO rates
• Improved operational turnaround time
• Data-backed roadmap prioritization

Are you an Android Developer who has very good knowledge on the fundamentals of Android programming and can write efficient code in a minimalistic way? Join Telyport as an Android Engineer. You will be given designs that you will convert to working applications with all the required business logic
You should have a strong command over either Java or Kotlin. You should also be familiar with at least one of the Android architectures like MVP, MVVM and MVI.
We are looking for someone who has worked on applications that involve exchanging data over the internet, loading images, lazy loading, shared preferences, saving and reading to local database and shared preferences.
A strong understanding of the Activity life cycle in android is a must. We prefer someone who has good knowledge of location tracking and background services in Android.



Responsibilities
-

Develop and code interfaces based on accepted design standards


• Build responsive applications which are compatible on Android devices of different sizes

• Build modular components for reusability.
Write services or modules responsible for certain tasks

• Write well defined models for network calls
Write well defined documentation for methods.
• 
Code animations which are highly optimized and efficient
• 
Writing code so that they can be scaled

• Follow the release process and adhere to time constraint for developing a project or its modules




Skills -


• Should implement at leave one of MVVM, MVP or MVI architecture
- Strong command over Java/Kotlin. 
- Adapt the app to adjust and fit various screen types.
- Very good understanding of Git. 
- Should write minimalistic code
• Must have worked on applications with databases
• 2+ year experience in Android App Development
• Must know how to debug and traceback errors in the app
• Should have worked with FCM notifications and custom notification handling

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

• Designing and implementing the overall recruiting strategy.
• Interacting with stakeholders and clients for understanding requirements, drafting JDs, interviews and negotiating results (where necessary).
• Sourcing and attracting candidates by using databases, social media etc.
• Conducting interviews and filtering candidates for open positions.
• Negotiating salaries and joining dates.
• Onboarding.

The ideal candidate possesses a passion for writing and innovative ability to create successful marketing campaigns and aid in creating company growth.

Key Responsibilities

You will be responsible for:

• Writing mesmerizing content, like game questions, titles, messages, etc.
• Copywriting.
• Writing blogs and articles.
• Thorough research on industry-related topics and generating ideas for content.
• Proofreading the blog articles, game content, and content-related thing.
• Working on the website admin, therefore, he/she should be familiar with WordPress or similar software.
• Working on game admin and updating the content to it.
• Creating event content and engaging content for social media.
• Making the existing game content more interesting and entertaining.
• Working on Upwork for hiring freelancers for content-related jobs.
• Have basic knowledge of SEO.
• Knows MS Word and MS Excel in particular.
• Working as a think tank to make our games, gaming content, and user experience better.
• Working closely with the marketing and testing team.

Qualifications:

0-6 months of proven experience as a Content Writer

Preferably a graduate in English Literature/ Mass Communication

Other Details:

Job Type: Work from Office; 5 days a week; 10:00 a.m. to 7:00 p.m.

Compensation: 2-2.5 LPA

Role Type: Full-time

Location – Noida Sector-62

At Navi, our mission is to build financial services that are simple, accessible and affordable.

Navi is a company founded by Sachin Bansal & Ankit Agarwal to build consumer-centric & technology driven businesses in the BFSI (Banking, Financial Services & Insurance) space. At Navi, we keep our users at the center of everything we do to reimagine the customer experience to millions of Indians.

What do we expect from you?

• Should have excellent illustration skills
• Strong, Appealing and Clean visual design sense
• The ability to see projects through from inception to production
• Willingness to listen to feedback and use it to improve
• Must be a creative thinker to solve problems and design effectively for the brand.
• Work in collaboration in cross-functional teams to understand the briefs/ strategies and execute them effectively.

Preferred skills and experiences

• Bachelor’s degree/Diploma in fine art
• 4+ years of design experience in an Ad agency or with the in-house design team
• Proficiency with design software, such as Adobe Creative Suite
• Strong portfolio of work

What you need to have:

Stylopay is one of the few companies globally who offer a payment platform, pre- integrated with the payment ecosystem, as a service to businesses. They have global issuance capabilities through partnerships with Issuers in Europe/UK, South East Asia and Middle East, payment processors and KYB/KYC/Risk service providers. IBAN, Wallet and Pre-card card programs are live in geographies across Europe and Asia.
To augment our Operations, we require a resource with experience in generating reports from IT production environment, preferably in financial domain. She/he should have strong problem solving, analytical and communication skills (verbal and written). She/he should be an excellent team player, with ability to work in a global team and with deadlines.