Inside 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

Candidate must have 10–15 years exp. in Beauty and Health, Wellness and Personal Care and Nutrition industry ONLY

Candidate must have prior experience working with a startup, preferably within the Beauty and Health, Wellness and Personal Care and Nutrition industry.

Prior P&L ownership (must be provable)

Experience scaling ₹100+ Cr online business is a big plus

Candidate must have worked deeply in:

Quick Commerce (Blinkit / Zepto / Instamart)

Marketplaces (Amazon + Flipkart at minimum)

D2C performance & CRO

Strong analytical mindset (CAC, LTV, ROI, margins)

Pricing & discounting strategy

Should have led multi-channel teams and managed a team of at least 20 members.

Can build SOPs

Can scale systems, not just people

Delhi/Gurgaon NCR based candidates will only be considered for this role.

Candidates will be rejected who:

Only did brand marketing

Never owned P&L

Are weak in Quick Commerce

Speak more strategy than execution

Avoid operational depth

Have only agency or consulting background

Job Summary:

We are looking for a highly motivated and skilled Service Desk Analyst with expertise in call handling and ticket management. The ideal candidate should possess strong troubleshooting skills, experience with ITSM tools, and familiarity with US customer support in a 24x7 operational environment. Retail domain knowledge and certifications such as ITIL, Google, or AWS will be an added advantage.

Key Responsibilities:

• Handle inbound calls and manage IT service requests and incidents efficiently

• Create, update, and resolve tickets using tools such as ServiceNow, BMC Remedy, etc.

• Provide support for client environments including AVDI, Citrix, and Windows-based systems

• Perform basic Windows OS and network connectivity troubleshooting

• Update and maintain Knowledge Base (KB) articles

• Ensure shift adherence and active participation in shift handovers and team huddles

• Collaborate with cross-functional teams for issue resolution

• Support retail technologies such as POS systems, pin pads, MDM, and virtual interfaces

• Maintain high levels of customer satisfaction through professional communication and timely resolution

Required Skills:

• Proven experience in a service desk/call center role handling US customers

• Hands-on experience with ITSM tools like ServiceNow, BMC Remedy

• Familiarity with Citrix, AVDI, and Windows troubleshooting

• Basic understanding of network connectivity (LAN/Wi-Fi/IP-related issues)

• Excellent verbal and written communication skills

• Ability to work in a night shift and rotational 24x7 schedule

• Strong team collaboration and time management skills

Role Overview:

We are seeking a Senior Software Engineer (SSE) with strong expertise in Kafka, Python, and Azure Databricks to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.

The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.

Key Responsibilities:

• Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
• Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
• Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
• Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
• Mentor junior engineers, perform code reviews, and promote engineering best practices.
• Stay current with evolving technologies in cloud, big data, and healthcare data standards.
• Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).

Required Skills & Qualifications:

• 4+ years of hands-on experience in data engineering roles.
• Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
• Proficient in Python for data processing and automation.
• Experience with Azure Databricks (or readiness to ramp up quickly).
• Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
• Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
• Familiarity with containerization tools like Docker and orchestration using Kubernetes.
• Exposure to CI/CD pipelines for data applications.
• Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
• Excellent problem-solving abilities and a proactive mindset.
• Strong communication and interpersonal skills to work in cross-functional teams.

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

BI Developer

Roles and Responsibilities:

• Comprehensive knowledge of SQL
• Expertise as a Microsoft BI Developer (SQL Server, SSIS)
• Experience and understanding of build and deploy processes
• A structured approach to software development (agile or waterfall), and a thorough understanding of the full software development lifecycle
• Knowledge and experience in experience banking
• Contribute to planning and estimation of sprints, features and releases
• Integrate new data sources using SQL, SSIS and C#
• Contribute to the testing and UAT phases
• In addition SQL Server 2014, Integration Services, Analysis Services, and Reporting Services (SSIS, ), Microsoft .NET, Tableau, Power BI, Data warehouse design

• Source potential candidates and screen resumes
• Perform pre-screening calls and interviews to analyze applicants’ abilities and fit to company culture
• Coordinate and see through the entire recruitment process
• Coordinate with department heads to forecast department goals and hiring needs
• Craft and send personalized recruiting emails with current job openings to passive candidates
• Participate in tech conferences and meetups to network with IT professionals
• Monthly recruitment reports on the pipelines and satisfaction level of candidates

• Proven work experience as a Technical / Technology Recruiter
• Must be data driven, and able to track, measure and report on all parts of the recruitment funnel
• Technical expertise with an ability to understand and explain job requirements for IT roles
• Familiarity with Applicant Tracking Systems and resume databases
• Experience in Sourcing, Candidate Management

Ideal candidate must have :

- 2+ years of experience in writing code

- Ability to meet tight deadlines

- Can work independently and be a team contributor

- Must have good knowledge of Node, Python and Scripting languages

- Experience in one or more of RDBMS - PostgreSQL, MySQL or Oracle

- Experience with NoSQL and real-time DB - Firebase/Firestore or MongoDB

- Must be able to write concise and high-quality API

- Must be a quick learner, curious and ambitious  

Job Description

• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.
• Sells products by establishing contact and developing relationships with prospects; recommending solutions.
• Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements.
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.
• Prepares reports by collecting, analyzing, and summarizing information.
• Maintains quality service by establishing and enforcing organization standards.

• Contributes to team effort by accomplishing related results as needed.

• Team Handling.

Skills Required:

• Strong communication
• Strong marketing skills including negotiation and convincing
• Good oral/written/interpersonal/presentation skills.
• Possesses an energetic, outgoing and friendly demeanor.