Content Marketing Manager

Strong B2C Performance Marketing Profile

Mandatory (Experience 1): Must have 3+ 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): Must have worked at a B2C digital/tech product company or a digital marketing agency managing B2C digital/tech product clients

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.

Your role as a designer is to solve UX problems with design in collaboration with a team on multiple verticals and to focus on designing the user interface based on research, user flow, and wireframing. A key element of your role is to get requirements from stakeholders and communicate the designs to stakeholders, designers, and developers, and collaborate with them.

Responsibilities:

• Translate business requirements and user stories into effective designs.
• Create UX specifications, Personas, Storyboards, Scenarios, and Flowcharts.
• Identify creative ways to solve UX problems.
• Plan the look and feel of websites, web apps, and mobile apps, from the layouts, menus, and drop-down options to the colors and fonts.
• Communicate design and interaction ideas effectively by creating wireframes and Prototypes.
• Create Pattern Library and Style Guide for the projects.
• Collaboration with designers and developers to create intuitive, user-friendly apps and websites.
• To Identify, analyze and diagnose UX and UI flaws in design.
• Mentoring Junior UX UI designers and improving internal processes.

Requirements:

• Minimum 2+ years of experience.
• Can lead and drive younger UX UI designers.
• A strong portfolio of UX UI design works on both the web and mobile platforms.
• Experience working with tech development teams.
• Good communication skills and the ability to clearly articulate your ideas, designs, and suggestions to Stakeholders and the Team.
• A strong team player who can work effectively with multiple stakeholders.
• Strong working knowledge of Figma.
• Familiarity with other design software and technologies (such as Adobe XD and Adobe Creative Suite etc. ).
• A keen eye for aesthetics and details.

We are searching for a Marketing Executive to help with marketing projects for our organization. The ideal candidate will be passionate about the "art" of marketing and have a wealth of ideas for developing effective tactics. He/she must bring forth a strong arsenal of techniques and methods to promote our products, services and public image. The goal is to generate B2B leads and foster client interest in our products and services in such a way that our reputation is strengthened and our growth is facilitated.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.