E-Commerce Manager

• Proficiency in Java, Kotlin, or C++.
• Ability to use the Android Studio, including the Android SDK, with ease.
• Prior experience as an Android Developer will be advantageous.
• Excellent coding and proofreading skills.
• Ability to manage your workload with minimal supervision
• Proofreading your code and correcting mistakes before each app is released.
• Collaborating with UI and UX Designers, as well as Software Testers, to ensure that each app is presentable and in perfect working order

Previous experience at customer handling both through calls and social media.
Good written as well as spoken communication.

As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.

• Development of automation scripts and pipelines for deployment and monitoring of new production environments.

• Development of automation scripts for upgrades, hotfixes deployments and maintenance.

• Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.

• Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.

• Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.

• Write Knowledge articles to document known issues and best practices.

• Conduct regression tests to validate solutions or workarounds.

• Work in a globally distributed team.

 

What achievements should you have so far?

• Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.

• Experience with containerization, deployment, and operations.

• Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).

• Good experience with Linux systems and Shell scripting.

• Basic cloud experience, preferably oriented on MS Azure.

• Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).

• Good Networking skills and experience.

• Having Terraform or CloudFormation knowledge will be considered a plus.

• Ability to analyze a task from a system perspective.

• Excellent problem-solving and troubleshooting skills.

• Excellent written and verbal communication skills; mastery in English and local language.

• Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● 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, supply chain metric 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.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● 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.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

If you are passionate about your data and analytics, love integrating SaaS platforms, and enjoy talking to customers, you'll have a great time here at CutsomerSuccessBox! We recognize both the opportunities and the challenges that come along. 

 

We're looking for a great Implementation Engineer to assist our customers in integrating with 3rd party tools, help them get the data via APIs, JavaScripts or other analytics tools so that the customers can start getting value from CustomerSuccessBox (CSB) product. This is a great role for someone who loves data & to build their career in Customer Success domain & work with the world-class team.

 

Implementation Engineer’s role is a key part of the Product & Customer Success team. As an Implementation Engineer, you will be responsible for guiding customers in getting the data from various 3rd party tools & make sure you are helping the Customer Success team to onboard customers. You will act as a trusted advisor. You will become an integral part of the company and our customers.

Your Primary Responsibilities

• Understand Customer Operations Tech Stack. What platforms are they using for CRM, Support, Billing, Analytics, etc) 
• Handhold customer in syncing all the data sources with CSB. Many of which are pre build native integrations which are activated by a simple click through flow. 
• Devising smart engineering solutions for each customer's unique enterprise stack (CRM/Billing/Support/Analytics).
• You will get opportunities to learn & develop on different technologies and platforms. 
• Understand the business requirement as to prioritize data sources and objects.
• Conduct workshops with customers to break the requirement in smaller & achievable format.
• Create an implementation framework to capture and decide what are all the data that is required
• Plan meetings with customers & their developers to understand how their data is structured. Consult them the best practices of sending that data to CSB.
• You will always be connected to the CSB technical team, so that you can leverage them to drive customer implementation.
• Resolve customer issues, with or without collaboration with other teams; 
• Build strong customer relationships by maintaining high levels of engagement and communication.
• Collaborate on creating best practices guide for developers, Update API documentation & update & maintain the Integration documentation.
• Work with CustomerSuccess Team to share insights with customers & prepare Customised reports on BI tools
• Pass Feedback to Product Management
• Work with the Support & CustomerSuccess team to coordinate and prioritize open items.  

What experience will you gain?

• Tech – Learning about huge enterprises tech stack
• Tech – Understanding enterprise technical architecture and implementation
• Tech - Understanding of APIs/JS/analytics
• Business / Tech - Use of enterprise platforms like Business Intelligence (BI) / SaaS platforms like CRM (Salesforce, Hubspot), support (Zendesk, Intercom, Freshdesk), Billing (Chargebee, Stripe, Quickbooks), etc.
• International Customer exposure – Talking to industry leaders

 

What Makes You The Right Fit

• Any experinece where you have done some Customer facing role. 
• Is hands on with BI tools. (good to have)
• Has an understanding of the B2B SaaS ecosystem & tools usually companies use. 
• Strong communication and interpersonal skills, both written and verbal; This is a must have since we have an international customer base that you will be working with.
• Undergraduate degree (BE/B.Tech) in Computer Science or Information Technology
  
  

What This Is Not

• This is NOT a 9 to 5 job.
• We don't offer or encourage any hierarchical structure.
  
  

Compensation

• Among the best in the industry.
• Cash, Incentives

Why CustomerSuccessBox?

CustomerSuccessBox is the leading AI powered Enterprise Customer Success platform. It helps global B2B SaaS businesses to get to 130%+ MRR Retention, unlock 3X upsell opportunities and double LTV.

 

In SaaS, 95% of the Lifetime value (LTV) is locked in as ‘Future’ Recurring Revenue. BUT businesses don't know who will Renew / Buy-more / At-Risk until it’s too LATE.

 

CustomerSuccessBox technology tracks real time product adoption and customer engagement. It’s AI Powered ‘Early Warning System’ uncovers the blind spots for Proactive Interventions. It's advanced automation leads to a faster time to value, higher product adoption and reduced cost of customer success.

 

Leading customer-centric global enterprises such as Headset - Seattle, Aislelabs - Toronto, Locus - Bangalore and Raken - San Diego.

 

People and Culture

CustomerSuccessBox is a B2B SaaS customer success platform, Venture backed (https://inc42.com/buzz/customersuccessbox-funding-pi-ventures-axilor/) by pi Ventures and Axilor in venture funding. CustomerSuccessBox is founded and run by CEO, Puneet Kataria, recognized by LinkedIn as a Global Top Voice of 2019. 

 

At CustomerSuccessBox, you will become part of a passionate team that works together to create value for our customers and their customers.

 

As a member of the CustomerSuccessBox team, you will own the problems and will enjoy both authority and accountability over deliverables. You will be rewarded for business results delivered. All the credit of the success is yours to take, but it will come with the responsibility of owning up to the failures too, we call them ‘failed experiments’.

 

In return, we are committed to providing you with every opportunity to learn, grow and reach the highest level of your ability and potential.

 

CustomerSuccessBox is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, gender, ethnicity, national origin, disability, or sexual orientation.

Why Shuttl ? We are India's largest app-based bus-service platform easing the office commute of over 50,000 intra city travelers daily through our 800+ strong bus fleet with our presence in 7 cities. We have been well-funded by Amazon US, Dentsu, Sequoia Capital, Times Internet and Lightspeed Ventures with a total cumulative funding of $34mn till date. Shuttl is solving a perpetual problem of urban commute that impacts a lot of lives daily. The opportunity is to solve a big problem on safety & commute comfort by leveraging Technology through our platform that uses live tracking, intelligent routing and predictive analysis based on existing traffic patterns. We have entered into new business verticals recently and are rapidly scaling up. Thus, we are also expanding our Engineering team. Would you be interested in exploring opportunities with us? What will I do? You will work as an Senior Software Engineer for the iOS app in the Consumer team. The consumer mobile apps are the primary way that our customers regularly interact with Shuttl for finding routes and booking their rides. You will report into the Team Lead for the Consumer team. Your team mates will be other iOS, Android and backend engineers. As a senior software engineer at Shuttl you are responsible for developing new features and maintaining existing ones, contributing to architecture and code design as well as coaching and training of junior software engineers. How do we work? Our engineering process is a five step process which consists of phases for planning, developing, testing & profiling, releasing and monitoring. The planning phase consists of documenting of the feature/task to be done followed by various discussions. These discussions cover product, delivery estimates, release plan, monitoring plan, test plans, architecture, code design, technology choices and best practice adoption. The development and testing phase coexist and involve writing code, unit tests, performance tests, profiling, stress testing, code reviews and QA testing. This phase is punctuated with daily scrums and standups. The release phase is largely about managing and communicating the release to customers and internal stakeholders and activating features. The last phase is the monitoring phase where relevant metrics and exceptions are tracked and any critical refinement for the delivered feature is undertaken. This phase culminates with a retrospective. What skills should I have? For this role we expect you to have 3-5 years of experience in iOS application development primarily using Swift You should have strong command of UIKit, Core Location, GCD, and Auto Layout, Google Maps, memory management and profiling using Xcode Instruments You should be knowledgeable about programming languages, operating systems, networks, databases and SQL, algorithms, architecture, code design and design patterns

We are looking for someone who can own our search and affiliate marketing efforts. Primary responsibilities will include structuring adwords campaigns and ensuring the channel growth while maintaining a healthy ROI. Will also need to work on SEO and affiliate marketing programs. - Adwords marketing experience is a must. - Ability to work in a fast-paced dynamic environment and turn things around fast. - Number savvy, understand web and app tracking systems - Ability to work with graphic teams to develop appealing creatives and come up with eye catching copies. - An experience of working with Affiliates and SEO will be a plus, but not mandatory. - Experience of working with a growth start-up will be a plus

Beyond Evolution Tech Solutions is a Mobile Apps & IoT solutions Company focused on creating offerings for end consumers in the IoT Space. Looking for experience in: • Clear fundamentals of Analog and Digital Electronics. • Knowledge of Full Hardware Design Life Cycle • Knowledge of Circuit Simulation (PSPICE, NI Multisim, etc) • Hand- On experience of HW designing rules, PCB Layout in Cadsoft Eagle/Altium Designer etc • Should have knowledge & experience of designing & development of 8/16 bit Microcontroller based close loop control systems and Arduino Platform. • Circuit building and Circuit analysis Skills • Component Data Sheet analysis skills. • Project Requirement Analysis • Protocols :- Ethernet, Wi-Fi, USB, Serial interfaces(SPI, I2C, RS485, RS422, RS232) • Hands on experience of utlising test equipment’s like DMM, Oscilloscopes, Logic Analyzer, Function/Signal generator , Solder Station (SMD/DIP). • Knowledge about Board Bring Up process. • Testing (Integration testing, protocol/Driver testing, etc.) • Experience in Embedded C programming, embedded system integration and can develop test cases for the same. • Knowledge of IOT Open Source Programming / Development • Candidate will be responsible for research & development of M2M/IOT products • Candidate will be responsible for end to end embedded system integration.