We are the only cloud-based testing platform aimed at bringing the whole testing ecosystem to the cloud. Today we have a powerful cloud network of 2000+ real browsers and operating systems that helps testers in cross-browser and cross-platform compatibility testing.
As the Performance Marketing Specialist, you would be responsible for owning Paid Marketing channels deploy, monitor and strategise ad serving on these channels.
What You'll Do
● Develop state-of-the-art digital marketing strategies for demand generation and customer
engagement across paid platforms with a focus on lead quality and volume.
● Planning global digital marketing budgets and efficiently deploying budgets for optimal outputs
from the spends.
● Partnering with internal and external creative agencies to conceptualize and implement the
communication on all touchpoints.
● Drive efficiency with a thorough understanding of measurement tools, attribution models, and
marketing funnel.
● Analyse website traffic and ideate on experiments for conversion rate optimization. Execution
and measurement of these experiments using different tools.
● Work closely with product and marketing teams to plan and execute 360-degree campaigns
● Research, assess and implement best and emerging industry practices
● Run experiments with clear success/failure metrics
Key Skills
● Expert understanding of Google, Facebook, LinkedIn and other marketing platforms.
● Deep understanding of analytics tools, insight generation and attribution models best aligned with
the channel strategy.
● Strong understanding of A/B testing, audience targeting, bidding strategies on all paid platforms.
● Working experience in advanced excel.
● Ability to understand business objectives and break them down into targets achievable through
digital marketing.
● Ability to think through the user journeys (Google to Website) and optimize communication on all
touchpoints.
What you should have
● Excellent analytical skills and in-depth knowledge in Digital Marketing.
● Strong communication skills (oral and written) and ability to work with minimum supervision.
● Team player, flexible and adaptable to changing priorities.
● Should have a relevant industry experience of 2-3 years.
● Should have previous hands-on experience on Google marketing tools.

About LambdaTest
About
Perform manual or automated cross browser testing on 2000+ browsers online. Deploy and scale faster with the most powerful cross browser testing tool online.
Tech stack



Connect with the team
Similar jobs
RedHat OpenShift (L2/L3 Expetise)
1. Setup OpenShift Ingress Controller (And Deploy Multiple Ingress)
2. Setup OpenShift Image Registry
3. Very good knowledge of OpenShift Management Console to help the application teams to manage their pods and troubleshooting.
4. Expertise in deployment of artifacts to OpenShift cluster and configure customized scaling capabilities
5. Knowledge of Logging of PODS in OpenShift Cluster for troubleshooting.
2. Architect:
- Suggestions on architecture setup
- Validate architecture and let us know pros and cons and feasibility.
- Managing of Multi Location Sharded Architecture
- Multi Region Sharding setup
3. Application DBA:
- Validate and help with Sharding decisions at collection level
- Providing deep analysis on performance by looking at execution plans
- Index Suggestions
- Archival Suggestions and Options
4. Collaboration
Ability to plan and delegate work by providing specific instructions.
- Understand product specifications and user psychologyConduct concept and usability testing and gather feedbackCreate personas through user research and dataDefine the right interaction model and evaluate its successDevelop wireframes and prototypes around customer needsFind creative ways to solve UX problems (e.g. usability, findability)Work with UI designers to implement attractive designsCommunicate design ideas and prototypes to developersKeep abreast of competitor products and industry trends
Role - Expansion Manager (North)
Job Location - Delhi (Open to travel)
About our Client :-
Our client is a Communities Foundation that works in the area of skilling and livelihoods for underserved youths. This is a pioneering program with a strong PPP model, an agency-led approach to livelihoods and a vision of socio-economic transformation.
About the role :-
government authorities and donors in this position to craft an expansion strategy and also help build the team.
Your role to supplement the Organisational goals:
- Approaching the government/municipal authorities of various cities in the northern region for communicating about the Lighthouse program.
- Prepare proposals and budgets and submit them to potential stakeholders.
- Follow up with authorities for approval of budget and proposals.
- Collaborate with authorities for identification of physical space for the Lighthouse centre in accordance with organisations specifications.
- Ensuring the development of the physical space in time for the launch of the Lighthouse.
- Supporting the launch of the Lighthouse in the new cities and handing over to the team.
- Building and maintaining a good relationship with the potential stakeholders
- Coordinate with donors for release of funds at different stages of the project.
Who we are looking for:
Roles and responsibilities:
• From understanding the causes that the nonprofit work for to collaborating with the
corporate team to provide suitable fundraising solution - you will be involved in the
entire process of driving fundraising for the nonprofits.
• Will work closely with non-profits and documents related to onboarding, will carry
out initial level of due diligence
• Support in preparing campaigns and project proposals
• Establish and manage relationship with our partners
• Planning and prioritizing activities and complete the threads
• Ensuring completion of tasks under the stipulated time frame
• Providing up to date information to the stakeholders as and when required
Skills and Background:
• Graduate from a reputed university – Post graduation will be an advantage
• Should have 3 - 5 years of experience in coordinating and managing end to end
stakeholder relationship
• Thorough understanding of nonprofits and fundraising cycle
• 3+ years development and delivery experience with Java, Springboot, Micriservices, JPA and from reputable institutes • Solid experience with application frameworks such as Springboot and strong familiarty with micro services architecture and design patterns • Familiarity with databases like MySQL, MongoDB, Redis etc • Hands-on experience in analysis, design, coding, and implementation of complex, custom-built applications • Exposure to CI/CD using Gitlab, Jenkins preferred • Familiarity with Docker, Kubernetes, EFK Stack is preferred • Broad knowledge of web standards relating to APIs (OAuth, SSL etc.) • Exposure to product development is preferred • Understand Architecture Requirements and ensure effective design, development and maintenance of multiple micro services in Java Springboot deployed in cloud within containers consuming data present in relational as well as NoSQL databases. o The microservices shall expose APIs which allow ease of integration with variety of client apps o Microservices should handle a scale of thousands of requests per second • Develop communication patterns between microservices which are efficient, lightweight and secured using Kafka • Debugging issues on a live setup • Lead a small team of engineers • Create test cases and technical documentation • Maintain a high level of code quality and consistency by adhering to and enhancing the coding standards, design methodology and programming practices |
Job Description:
- Working knowledge and hands-on experience of Big Data / Hadoop tools and technologies.
- Experience of working in Pig, Hive, Flume, Sqoop, Kafka etc.
- Database development experience with a solid understanding of core database concepts, relational database design, ODS & DWH.
- Expert level knowledge of SQL and scripting preferably UNIX shell scripting, Perl scripting.
- Working knowledge of Data integration solution and well-versed with any ETL tool (Informatica / Datastage / Abinitio/Pentaho etc).
- Strong problem solving and logical reasoning ability.
- Excellent understanding of all aspects of the Software Development Lifecycle.
- Excellent written and verbal communication skills.
- Experience in Java will be an added advantage
- Knowledge of object oriented programming concepts
- Exposure to ISMS policies and procedures.

About Graphene
Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best
Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are developing an AI plaform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.
Graphene was founded by Corporate leaders from Microsoft and P&G, and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.
Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.
Job title: - Data Analyst
Job Description
Data Analyst responsible for storage, data enrichment, data transformation, data gathering based on data requests, testing and maintaining data pipelines.
Responsibilities and Duties
- Managing end to end data pipeline from data source to visualization layer
- Ensure data integrity; Ability to pre-empt data errors
- Organized managing and storage of data
- Provide quality assurance of data, working with quality assurance analysts if necessary.
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Troubleshooting the reporting database environment and reports.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Evaluating changes and updates to source production systems.
- Training end-users on new reports and dashboards.
- Initiate data gathering based on data requirements
- Analyse the raw data to check if the requirement is satisfied
Qualifications and Skills
- Technologies required: Python, SQL/ No-SQL database(CosmosDB)
- Experience required 2 – 5 Years. Experience in Data Analysis using Python
• Understanding of software development life cycle
- Plan, coordinate, develop, test and support data pipelines, document, support for reporting dashboards (PowerBI)
- Automation steps needed to transform and enrich data.
- Communicate issues, risks, and concerns proactively to management. Document the process thoroughly to allow peers to assist with support as needed.
- Excellent verbal and written communication skills



Responsibilities:
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
- Verifying data quality, and/or ensuring it via data cleaning.
- Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
- To design and develop Machine Learning systems and schemes.
- To perform statistical analysis and fine-tune models using test results.
- To train and retrain ML systems and models as and when necessary.
- To deploy ML models in production and maintain the cost of cloud infrastructure.
- To develop Machine Learning apps according to client and data scientist requirements.
- To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.
Technical Knowledge:
- Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase.
- Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
- Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark, Pandas, Numpy and related libraries.
- Expert in visualising and manipulating complex datasets.
- Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
- Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
- Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
- Big data Technologies such as Hadoop stack and Spark.
- Basic use of clouds (VM’s example EC2).
- Brownie points for Kubernetes and Task Queues.
- Strong written and verbal communications.
- Experience working in an Agile environment.

