Product Manager

Job Title

Technology Lead – Frontend

Job Responsibilities:

• Collaboratively work with UX team, product managers, back-end engineers and other technical teams to create new, delightful and scalable UI
• Mentor junior members through training and individual support
• Responsible for all front end development on a project
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Identify and troubleshoot UX problems (e.g. responsiveness)
• Conduct layout adjustments based on user feedback
• Adhere to style standards on fonts, colors and images
• Optimize existing user interface designs
• Proactively learn and accordingly apply new technologies, best design practices and usability patterns

The ideal candidate must - 

• 5+ years of experience working with React or React-based frameworks
• Proficiency with browser-based debugging and performance testing
• Proficiency in Git and version control
• Considerable experience with a testing framework (Jest/Mocha)
• Familiarity with RESTful APIs and GraphQL
• Knowledge of modern authorization mechanisms, such as JWT Tokens
• Good understanding of common front-end development tools such as Babel, Webpack, NPM, Yarn etc
• Hands-on experience with CSS-in-JS libraries
• Proficient understanding of cross-browser compatibility issues and ways to work around them
• Keen to learn, mentor and willingness to take ownership of work items
• Possess strong communication and self-accountability

REACT.JS

About GoComet (www.gocomet.com):

GoComet is the world's leading AI Powered Transportation Visibility solution, revolutionizing the Supply Chain and Logistics industry. In just 5 years, we've partnered with over 500 Global Brands, including 7 Fortune 500 companies like John Deere, Unilever, and Koch Industries. At GoComet, we're not just changing logistics; we're shaping the future of global commerce.

Job Description:

We are seeking an experienced and dynamic Account Executive to drive sales in either the US or South East Asia region. As an integral part of our sales team, you will be responsible for expanding our customer base in the specified market, focusing on mid-market and enterprise segments. This role reports directly to the Global Head of Sales and Co-Founder.

Must-Haves:

●     Tech Sales Experience: Proven track record in tech sales within the Supply Chain & Logistics industry, preferably with experience in selling SaaS solutions.

●     International Market Experience: Demonstrated success in sales within international markets, specifically in APMEA or the Americas.

●     Territory Planning & Pipeline Building: Strong understanding and experience in territory planning and pipeline building, particularly in the mid-market and enterprise customer segments.

●     Outbound Pipeline Generation: Ability to effectively generate outbound pipeline through various channels and strategies.

Good to Have:

●     Startup Experience: Previous experience working in a startup environment, with a demonstrated ability to thrive in a fast-paced, agile setting.

●     Market Entry Experience: Experience in launching products or services into new markets, including market research, strategy development, and execution.

We Offer:

●     Flat Structure: Work closely with the Global Head of Sales and Co-Founder in a flat organizational structure, enabling direct communication and rapid decision-making.

●     Flexible Working Hours: Enjoy the flexibility to manage your work schedule according to your productivity and personal commitments.

●     Market Compensation: Competitive salary package with performance-based incentives and opportunities for career growth.

●     Dedicated Lead Gen and SDR Support: Access to dedicated lead generation and sales development resources to help you build and nurture your pipeline effectively.

●     Travel Opportunities: Travel to multiple markets for business development purposes, gaining exposure to diverse cultures and business landscapes.

How to Apply:

If you are passionate about driving sales, thrive in a dynamic environment, and meet the qualifications outlined above, we encourage you to apply by sending your resume and a cover letter highlighting your relevant experience to [HR Email Address]. Please include "Account Executive - Sales (US/South East Asia)" in the subject line of your email.

Join us in revolutionizing the supply chain and logistics industry!

As a Medical Representative, you will be responsible for promoting and selling pharmaceutical products to healthcare professionals, including doctors, pharmacists, and other medical staff. Your goal is to build strong relationships with these professionals, provide them with the necessary information about products, and help them make informed decisions for the benefit of their patients.

• ·       3+ Yrs Solid knowledge of frontend development with a minimum of 2 years of work on ReactJS,/ React native 
• ·       Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• ·       Strong & thorough understanding of Reactjs and its core principles
• ·       Experience with popular Reactjs workflows such as Redux
• ·       Knowledge of isomorphic React is a plus
• ·       Familiarity with RESTful APIs
• ·       Familiarity with modern front-end build pipelines and tools
• ·       High coding standards - understanding of test coverage best practices & test pyramid concept
• ·       Familiar with Continuous Delivery approach
• ·       Experience with Distributed and Concurrent Systems, knowing the tradeoffs between stateful/stateless and synchronous/asynchronous architectures
• ·       Passion about technology and its relationship with product and user experience
• ·       Ability to work independently - identify problems, create plans and implement solutions to them

Roles and responsibilities:

• Execute tests, collect and analyze data and results, and identify trends and insights to achieve maximum ROI in paid search campaigns.
  
  
• Track, report, and analyze website analytics.

• Optimize copy and landing pages for search engine marketing.
  
  
• Perform ongoing keyword discovery, expansion and optimization.
  
  
• Research and implement search engine optimization recommendations.
  
  
• Research and analyze competitor advertising links.
  
  
• Develop and implement link building strategy.
  
  
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code.
  
  
• Work with editorial and marketing teams to drive SEO in content creation and content programming.
  
  
• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.
  
  

Requirements and skills:

• Bachelor’s degree required.

• 1-2 years of experience in SEO marketing.

• Proven SEO experience.

• Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.
  
  
• Solid understanding of performance marketing, conversion, and online customer acquisition.
  
  
• In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends).
  
  
• Experience with bid management tools (e.g., Click Equations, Marin, Kenshoo, Search Ignite).
  
  
• Experience with A/B and multivariate experiments.
  
  
• Knowledge of ranking factors and search engine algorithms.
  
  
• Up-to-date with the latest trends and best practices in SEO. 

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology