Product Strategist

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.

Bachelor's degree in computer science, information systems, or related field preferred

Five or more years of experience with technical product configuration, design, and/or
integration using the following tech stack:

C#, ASP.net using Web Forms, ADO.Net

Hands-on experience with WCF, jQuery, Web API, Entity Framework and LINQ will be
added advantage.

Job profile: Product Manager

 

The ideal candidate is an analytical team player who will be responsible for leading a team of high performing individuals who own the entire product lifecycle from strategy to evaluation. You will also work cross-functionally to complete product roadmaps and discover new opportunities. 

 

Responsibilities:

 

• Create business models and analyse competitive landscape.
• Develop and monitor data-driven analytics.
• Mentor employees to help them achieve individual & team objectives.
• Work with the lead product manager, key stakeholders and a cross-functional team to assist with new product releases, including product launch deliverables.
• Work with sales and partners to strengthen offerings.
• Define the product requirements and manage aspects of the offering roadmap.
• Develop and coordinate enablement assets for sales and partners.
• Work with industry analysts, partners, and customers to gather and validate market requirements, understand pain points, address RFEs, and evangelizing the product roadmap and vision.

 

Qualifications:

 

• Bachelor's degree or equivalent 3+ years of experience in Product Management, Engineering, or Consulting.
• Strong written, verbal and collaboration skills.

1. Analyzing users stories and/use cases/requirements for validity and feasibility

2.collaborate closely with other team members and departments execute all levels of testing (System, Integration, and Regression)

3.Design and develop automation scripts when needed Detect and track software defects and inconsistencies Provide timely solutions Apply quality engineering principals throughout the Agile product lifecycle Provide support and documentation.

As an SDE, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components.

 

Requirements:

• Exp: 3 - 8 years.
• 4 + years' experience building successful production software systems.
• A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field).
• The ability to take convert raw requirements into good design while exploring technical feasibility tradeoffs.
• Expertise in System design (design patterns, LLD, HLD, Solid principle, OOAD, Distributed systems etc. ), Architecture (MVC/Micro services).
• Excellence in technical communication.
• Has experience in mentoring other software developers.
• BS/MS in Computer Science or equivalent.
• Experience developing service oriented architectures and an understanding of design for scalability, performance and reliability.
• Demonstrated ability to mentor other software developers to maintain architectural vision and software quality.
• Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
• Expertise in delivering high-quality, innovative application.
• Strong desire to build, sense of ownership, urgency, and drive.
• Strong organisational and problem solving skills with great attention to detail.
• Ability to triage issues, react well to changes, work with teams and ability to multi-task on multiple products and projects.
• Experience building highly scalable, high availability services.
• The ideal candidate will be a visionary leader, builder and operator.
• He/she should have experience leading or contributing to multiple simultaneous product development efforts and initiatives.
• He/she needs to balance technical leadership with strong business judgment to make the right decisions about technology choices.
• He/she needs to be constantly striving for simplicity, and at the same time demonstrate significant creativity, innovation and judgme.
• Proficiency in, at least, one modern programming language.
• Experience in SQL or Non-SQL database.
• Strong sense of ownership, urgency, and drive.
• Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
• Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
• Excellent communication, collaboration, reporting, analytical and problem solving skills.
• Good understanding of at least some of the modern programming languages (Java) and open-source technologies

We are looking for an experienced B2C/Consumer product manager to join our team. He/She will be the owner for various fundamentals backend systems, and its integration with multiple internal and external systems. The person will also own The entire Learning & assessment solution for the customers along with category expansion thus revenue - and will be responsible for improving efficiency, and driving business metrics.Manipal Global education is a pioneer and leader in the space of Assessment, learning & distance education.Experience/Skillset/Background- 4+ years of product management experience in B2C product companies;- Excellent problem-solving, organizational and analytical skills, with the ability to evolve product strategy based on research, data and industry trends- Experience of working with systems with complex business logic, and the ability to deliver data-driven solutions while dealing with large quantities of information and data- Create, democratize and monitor performance metrics regularly and work with a different team to consistently raise the bar- Should have a thorough understanding of data and analytics tools such as Google Analytics, Localytics, CleverTap or MixPanel- Experience of managing all aspects of a successful product throughout its lifecycle- Knowledge of multiple functional areas, such as Product Management, Engineering, UX/UI, Sales, Customer Support.- Understanding of user experience (UX) and business/commercial challenges- Work with QA and Business team to check all the corner cases possible for feature development; manage upgrades and progressive releases for existing products- Ability to interact with the engineering team, understand technical subjects and emerging technologies and their relevance to the product- Ability to communicate findings clearly to both technical and non-technical audiences- Software Development Experience with a good understanding of data, metrics and building models will be an added advantage- eCommerce Product Management Experience is compulsory- Bachelor's degree in Computer Science or equivalent practical experience is a plus.- MBA from Tier 1 college is preferredRight fit for the team :- Turn ambiguous problems into solutions accustomed to driving results in a cross-functional environment with little instruction or oversight- Ability to lead in a highly dynamic environment and a willingness to roll up sleeves to get the job done- Desire to work in a fast-paced environment- Hand-on experience, Hustler, and Go-Getter attitude- People Management: Ability to lead, manage; develop teams in a fast-paced environment; should have managed a team of at least 2-3 product managers