Sales Executive

What We Are Looking for in the Candidate

Experience Level

• 1.5 – 2.5 years of hands-on performance marketing experience
• Independently managed live Google & Meta ad accounts
• Experience working in a startup, SME, or agency environment preferred
• Has handled real campaign budgets (not just internship/demo accounts)

Google Ads Expertise (Primary Requirement)

• Strong experience in Search Ads
• Working knowledge of Display & Performance Max
• Experience with Remarketing campaigns
• Basic understanding of YouTube Ads
• Conducted keyword research independently
• Implemented negative keyword strategies
• Optimized bids (Manual CPC, Max Conversions, tCPA, tROAS)
• Monitored CPA, ROAS, CTR, Quality Score
• Managed and optimized campaign budgets regularly
• Set up and verified conversion tracking

 Meta Ads Expertise (Primary Requirement)

• Hands-on experience with Facebook & Instagram Ads
• Built full-funnel campaigns (Awareness to Conversion)
• Created Custom & Lookalike audiences
• Implemented retargeting strategies
• Installed and monitored Meta Pixel
• Optimized based on CPL, CAC, ROAS
• Improved campaign performance using data insights

Tracking & Analytics Knowledge

• Experience with Google Analytics
• Basic working knowledge of Google Tag Manager
• Understanding of conversion tracking setup
• Knowledge of attribution models
• Ability to read and interpret funnel metrics

 Performance Optimization Skills

• Daily campaign monitoring
• Budget allocation between campaigns
• Scaling profitable campaigns
• Pausing or restructuring low-performing ads
• Conducting A/B testing (creatives & copy)
• Identifying funnel drop-offs

 Reporting & Data Mindset

• Can prepare weekly performance reports
• Provides insights, not just numbers
• Makes data-driven decisions
• Comfortable explaining performance metrics clearly

BSE Debt Listed Company.

It aims to be a one-stop investment solution for all types of investors, providing a comprehensive range of products including Fixed-Income Securities, Listed Equity, Real Estate, Unlisted Equity, Mutual Funds, and more.

• Generating consistent returns for over 8 plus years in the industry.

• Our pool of Investors includes Listed Company, Senior Official of Big 4 consulting firms, Ex- Bankers & CXO Level Executive, Government Officials, Merchant Bankers, CA’s, & Company Professionals, Fin-Tech & MSME, Non-Resident Indians (NRIs)/ High Net Worth Individuals (HNIs).

We are currently expanding our sales team and are seeking your support in helping us find qualified candidates for the following open positions.

1. Channel Sales Manager (BFSI Domain)

Total Experience: 2+ years Upto 7 years

CTC: 8-10 Lakhs + incentives

Location: Sector 49, Gurgaon

Qualification: Graduate/Post Graduate

Working Days: 5 Days a week

Industry : BFSI ( do not include CV from loan, insurance and credit department)

Candidate Requirements:

Strong knowledge of financial and investment products, preferably mutual funds, insurance, fixed deposits, SIP, fixed income, life insurance, general insurance, and PMS.

Experience as a Direct Selling Agent (DSA).

Candidates from the Banca and insurance channel must be avoided.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

We are looking for an Automation Test Engineer with a natural flair for solving complex problems and making life easier for others. You'd be a part of our dynamic QA team responsible for maintaining and enhancing the quality of our products.

Responsibilities:

• Owning the quality of any deliverables including new features and enhancements
• Working closely with the product team in understanding the requirements and user workflow
• Writing highly efficient manual test cases and performing functional, ad-hoc and regression testing
• Designing, developing and executing automation test scripts
• Raising defects/bugs and tracking them till closure

Requirements:

• Bachelor's degree in engineering/IT/computer science or related field
• 2-4 years of relevant work experience in software testing
• Professional automation QA experience, using Selenium Webdriver with Python and/or Java 
• Experience in using a defect tracking system to report, track and resolve defects
• Good understanding of the Agile software development methodology (Kanban or Scrum) 
• Passion for software quality assurance, problem detection and analysis
• Experience working in SaaS based product company (optional)
• Worked for a bootstrapped high-growth startup (optional)

1.     Significant experience of working in front-end web development
2.     Extensive programming experience in HTML5, CSS3, SASS or LESS, and Bootstrap, Foundation or Materialize
3.     Angular Material, Chart Libraries(D3, Leaflet, Amchart etc).
4.     Solid understanding and development experience in Angular
5.     Experience with Typescript
6.     Experience with tools like Redux, Webpack, Angular CLI and/or Gulp
7.     Experience consuming REST APIs

We are a fast-growing, venture-funded SaaS Company in the Customer Experience/CRM space based in US. We are seeking an experienced, customer-facing technical solutioning professional in a consulting role, who can work as a trusted advisor for our customers in pre-sales and post-sales implementation situations.

Responsibilities:

• Provide day to day technical and sales engineering support to sales team during presales situations

• Deliver technical presentations, product demos for prospective customers

• Implement and deliver custom demos when necessary for specific prospective customers

• Capture customer-specific requirements for customizations and 3rd party software (API) integrations required to deliver full solution into a documented Statement of Work (SoW) based on a standard template, to assist sales team to close deals

• Ensure implementation and customer success post-sales by doing an effective knowledge transfer of customer-specific requirements in the SoW to the implementation team

Required Experience:

5+ years minimum Software and/or SaaS industry experience working preferably in customer facing roles (pre-sales engineering or post-sales implementation or solution consulting)

Required Skills:

• Excellent English-communication and writing skills

• Comfortable in creating customer-facing technical presentations in Powerpoint, SoW documents in Word, and working with simple ROI-type Excel spreadsheets

• Good presentation skills - presenting PPT, demos, discussing SOW with customers over Zoom calls

• Experience in solution architecture - understanding customer use-cases, and advising customers on how we can adapt our product platform with customizations to deliver a solution meeting their needs

• Some hands-on programming experience - comfortable in writing simple custom scripts and HTML/XML/JSON that may be required to customize demos

Work Environment:

• Remote, India-based Consulting role but requires flexible work hours to cover customer activity in US timezones

• Primary tools: Mac or Windows PC, Outlook, Powerpoint, Word, Excel, Slack (for

collaboration), Zoom (for meetings), Smartphone (for iOS or Android mobile app demos)

• Adequate training will be provided on how to demo/use our products, setup demo environments, customization options, sample customization scripts/tools, sales presentations, SoW templates and other technical pre-sales tools

What you need to have:

• Bachelor’s degree in technology related field

• Minimum of 1 + years Major ERP system experience

• Functional / technical proficiency in designing, configuring and implementing in ERP System

• Strong understanding of order management, billing, and ERP master data

• Strong verbal and written communication ·

• Strong analytical and problem-solving skills, critical thinking and innovation

• Ability to work independently as well as in a team environment

• Must be detailed-oriented.

• Ability to develop repeatable development processes with supporting documentation.

• Corrugated Industry Experience