Performance Marketing Manager

Strong B2C Performance Marketing Profile

Mandatory (Experience 1): Must have 2+ YOE in managing performance marketing in atleast 1 of Google ads campaigns (Search, Display, Universal App Campaigns UAC)

Mandatory (Experience 2): Must have hands-on experience with campaign setup, execution, daily optimization, reporting, and performance tracking across key KPIs (CTR, CPC, CPA, ROI)

Mandatory (Experience 3): Must have strong technical skills including familiarity with Google Tag Manager, Google Analytics

Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)

Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.

Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).

Mandatory (Stability): Minimum 2 years per role required. One short stint is acceptable if there’s a long tenure (eg: 5+ years) in a prior role. Frequent job changes are straight rejects.

Note: Total years of experience must not exceed 6 years.

• Enterprise Network Implementation for Global Enterprise customers.
• Extensive experience in a network implementation environment gained in an ISP or telco or enterprise environment.
• Good technical knowledge and practical experience of BGP, OSPF routing protocols & switching technology.
• Conversant in best practices appropriate to network design and security.
• Understanding of hardware and software performance and scaling limitations.
• Network implementation, and management using Cisco Routers & switches ( Nexus & Catalyst), Juniper M and T series routers, and Aruba Wireless.
• Excellent communication and interpersonal skills – confidence and professionalism both in working with multinational project teams and with clients on various levels of the organisation, from technical audiences to senior management
• Analytical and critical thinking; innovative problem-solving capability for complex customer requirements
• Ability to work under pressure from both customers and internal stakeholders and produce solution designs that are deliverable

Experience:
• A minimum of 4 years’ total experience in the areas of Networking and Telecommunications technologies
• At least 2 years’ experience in dealing with large, corporate customers in a technical solution Implementation profile.

StoryXpress (a Techstars-backed company) is an end-to-end video platform and is an efficient and effective way of humanizing the way you promote and sell your product or services, and communicate with your customers. With a suite of professional video tools (Video Creator, Video Recorder, Video Hosting and Analytics, Video APIs, and SDKs), we help small and medium-sized businesses drive more revenue through the strategic use of video. Founded in 2014, StoryXpress has a rich community of 500K+ users including small enterprises to Fortune 500 companies.

Why Work with Us:

• Get an opportunity to contribute to an exciting, forward-thinking and fast-moving Start-Up.

• Shape-Up your career by working with young and supportive teams and peers!

• Innovation and Creativity is all what matters!

• Friendly Policies, good competitive salaries, team outings and what not!
  
  

Job Description:

We're looking for an enthusiast Back End Developer who will be an integral part of the early StoryXpress team and can produce scalable solutions. The creativity and intelligence are much more essential to us than the experience with our stack.Thus, you’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment, in order to strive for excellence!

If you’re also familiar with Agile methodologies, we’d like to meet you :)

Job Responsibilities:

Building and scaling web products that directly impact our customers or partners.

Translate several RESTful data sources to be used in a front-end application.

Dig into bugs and feature requests.

Monitor reliability and performance through dashboards and tools to ensure availability.

Help other engineers on the team and across StoryXpress.

Work with our team to engineer new growth initiatives.

Job Requirements:

• Skills: Node.js, Express.js, REST APIs, Express.js, MySQL, Git, Go
• Proficiency JavaScript developer.
• Should have a good understanding of micro-server architecture and REST API.
• Thorough understanding of MVC principles and JS design patterns. *Node.js, Express.js, MySQL should be thoroughly worked upon
• GIT, GitOps and standard versioning management tools should be known.
• Knowledge of User authentication and authorization between multiple systems, servers, and environments.

Brownie Points For:

• Knowledge of Go will be a big plus
• Experience with Redis and TypeScript would fetch you a brownie point

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