Product Manager

Job Title: PPC Executive

Job Description:

We are looking for a dynamic PPC Executive with 1-3 years of hands-on experience in digital advertising to join our growing team. The ideal candidate will have expertise in managing various PPC platforms such as Amazon PPC, Google AdWords, Facebook Ads, and more. You will be responsible for optimizing paid campaigns, improving conversion rates, and driving measurable results for our clients.

Key Responsibilities:

• Manage and optimize paid campaigns across platforms like Amazon PPC, Google Ads, Facebook Ads, Instagram Ads, LinkedIn Ads, and YouTube Ads.
• Develop, implement, and manage paid advertising strategies on various digital channels.
• Monitor and adjust bids, keywords, and ad placements to ensure campaigns are performing optimally.
• Create and optimize Amazon PPC campaigns to increase product visibility and sales, using Amazon Seller Central and related tools.
• Set up and manage Google Ads campaigns (Search, Display, Remarketing, and Shopping ads).
• Configure and manage Google Tag Manager to track website analytics and conversions.
• Work on strategies to improve website conversion rates via PPC, optimizing landing pages.
• Conduct A/B testing of ad creatives, landing pages, and strategies to increase ROI.
• Manage and optimize Facebook, Instagram, LinkedIn, and YouTube Ads campaigns to maximize results.
• Create engaging ad creatives and copy for social media platforms to boost engagement and conversions.
• Analyze campaign performance regularly and provide recommendations for optimization.
• Make adjustments to improve key metrics like CTR, CPC, and ROI.
• Identify and troubleshoot issues within ad campaigns, offering solutions for underperformance, such as low click-through rates or high ad spend.
• Optimize Google My Business listings to increase local visibility and engagement, ensuring business details are accurate and properly utilized to drive traffic.

Required Skills and Qualifications:

• 1-3 years of PPC experience, with a proven track record in campaign management and optimization.
• Strong knowledge of Amazon PPC, Google Ads, Google Tag Manager, and other major PPC platforms.
• Experience with Facebook, Instagram, LinkedIn, and YouTube Ads.
• Solid understanding of Conversion Rate Optimization (CRO).
• Strong analytical skills and ability to generate actionable insights.
• Proficiency with tools like Google Analytics, Google Tag Manager, and SEMrush.
• Excellent communication and teamwork skills.

Benefits:

• Competitive salary based on experience.
• Opportunities for professional growth and career advancement.
• Collaborative and supportive team environment.

Job Description:

We are seeking an experienced Java Back-end Developer to join our team. The ideal candidate

will be responsible for designing, developing, and maintaining robust and scalable back-end

solutions using Java and related technologies. The Back-end Developer will work closely with

cross-functional teams to deliver high-quality software solutions that meet our business needs.

Responsibilities:

 Design, develop, and maintain Java-based back-end applications, services, and APIs.

 Write efficient, reusable, and well-documented code following industry best practices

and coding standards.

 Collaborate with front-end developers, product managers, and other stakeholders to

understand requirements and translate them into technical solutions.

 Implement and maintain database schemas, write complex SQL queries, and optimize

database performance using Oracle SQL.

 Develop and consume RESTful web services to enable seamless integration with

external systems.

 Utilize Spring framework and its various modules (e.g., Spring Boot, Spring Batch) for

building enterprise-level applications.

 Manage project dependencies and build processes using Maven.

 Work with version control systems such as Git for code management and collaboration.

 Perform unit testing, integration testing, and debugging to ensure the quality and

reliability of back-end components.

 Stay updated on emerging technologies, trends, and best practices in back-end

development.

Additional Requirements:

 Strong knowledge of application servers such as Tomcat and WebLogic.

 Experience with continuous integration tools such as Jenkins.

 Familiarity with automated testing frameworks such as JUnit.

 Understanding of authentication and authorization mechanisms, including OAuth.

 Knowledge of SOAP web services and related technologies.

Requirements:

 Bachelor's degree in Computer Science, Engineering, or a related field.

 5 Plus years of experience in Java back-end development.

 Proficiency in Java programming language and related frameworks (e.g., Spring, Spring

Boot, Spring Batch).

 Strong understanding of object-oriented programming principles, data structures, and

algorithms.

 Experience with Oracle SQL and database design principles.

 Familiarity with RESTful web services and API development.

 Experience with build tools such as Maven.

 Knowledge of version control systems, particularly Git.

 Strong problem-solving skills and attention to detail.

 Excellent communication and collaboration skills.

 Ability to work effectively in a fast-paced, agile environment.

Preferred Qualifications:

 Experience with other databases such as MySQL, PostgreSQL, or MongoDB.

 Familiarity with continuous integration/continuous deployment (CI/CD) pipelines.

 Understanding of software development best practices and design patterns.

Job Description:

We are seeking a skilled MERN Stack Developer to join our team. The ideal candidate will have 3 to 7 years of experience in developing web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). You will be responsible for designing and implementing innovative solutions to meet our company's needs. If you are passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Responsibilities:

Develop and maintain web applications using the MERN stack.

Collaborate with cross-functional teams to define, design, and ship new features.

Write clean, efficient, and maintainable code.

Implement front-end interfaces using React.js.

Design and develop RESTful APIs using Node.js and Express.js.

Integrate third-party APIs as needed.

Optimize application performance for maximum speed and scalability.

Troubleshoot and debug issues that arise during development and in production.

Stay up-to-date with emerging technologies and best practices in web development.

Requirements:

Bachelor's degree in Computer Science, Engineering, or related field.

3 to 7 years of experience in web development.

Proficiency in the MERN stack (MongoDB, Express.js, React.js, Node.js).

Strong understanding of JavaScript, HTML, CSS, and related web technologies.

Experience with front-end frameworks such as Bootstrap or Material-UI.

Knowledge of state management libraries such as Redux or MobX.

Familiarity with version control systems (e.g., Git).

Excellent problem-solving and communication skills.

Ability to work independently and as part of a team.

Experience with Agile development methodologies is a plus.

Knowledge of GraphQL is a plus.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

• Strong analytical skills -ability to understand and analyze business requirements.
• Excellent problem solving and communication skills.
• Strong sense of teamwork, personal integrity, responsibility, and accountability
• Experience working with demanding deadlines, high workload, and some degree of conflicting priorities
• Able to learn quickly with minimal supervision
• Should have extensive knowledge of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) Methodologies and processes
• Must have experience in Functional Testing, Integration Testing, User Acceptance Testing (UAT), Performance Testing, Portal Testing, Translation Testing, Usability Testing
• Must have experience is writing test cases and test strategies based on the customer requirements
• Minimum 3 years to maximum 6 years of SAP Functional Testing experience
• Experience in independently solving Business problems related to Testing and able to drive continuous improvement in Testing space
• Able to bring in Industry Best Practices and arrive at Strategies to benchmark and drive the maturity of Testing Processes
• Experience in Test Management using JIRA
• Experience in Preparation, Execution, Validation, Documentation of Test Processes
• Define, manage and create test data for Demo systems
• Experience in interface testing between SAP & non-SAP applications is needed for specific customers
• Functional knowledge in SAP PM, SAP PLM, SAP MM and SAP ISU will be a plus
• Experience with SAP Mobile Platform is a plus
• Experience of automation test tools will be an added advantage
• Experience in eCATT is a plus
• Experience in setting up Demo data is a plus
• Experience in working with LSMW is a plus