Client Account Manager

• Minimum of 5 years of experience in B2B enterprise sales with atleast 1-2years in a start-up.
• Should have a proven track record of closing complex deals and managing large accounts.
• Strong understanding of the full sales lifecycle, from prospecting to closing, with expertise in consultative selling and solution-based sales
• Strong negotiation and deal-closing abilities, with the capacity to build trust and rapport with high-level stakeholders.
• Strong experience using CRM systems to track and manage sales pipelines, opportunities, and client interactions.
• Should have done a 0 to 1 sales growth story
• Must be handling West region currently and candidates from Mumbai preferred.

Job Description: Holiday Packages Sales Executive

Company: Aertrip.com

Location: Ghitorni, New Delhi

Experience Required: 3+ years in Holiday Packages Sales

About Us

Aertrip.com is a fast-growing travel technology company revolutionizing how people plan, book, and experience travel. We specialize in delivering seamless solutions for flights, hotels, and holiday packages. Our mission is to simplify travel and make it accessible and enjoyable for everyone.

Role Overview

We are looking for an experienced Holiday Packages Sales Executive who has proven expertise in selling domestic and international travel packages. The ideal candidate should have strong destination knowledge and sales acumen to drive customer satisfaction and revenue growth.

Key Responsibilities

• Handle inbound and outbound sales inquiries for domestic and international holiday packages.
• Design, customize, and sell travel itineraries/packages as per client requirements.
• Maintain in-depth knowledge of at least 5+ key destinations including Asia, USA, UK, Schengen Countries (Europe), Vietnam, Bali, Thailand, and Dubai.
• Achieve monthly sales targets through effective conversion and upselling.
• Build strong client relationships to generate repeat and referral business.
• Coordinate with vendors, hotels, DMCs, and airlines for best deals and smooth execution.
• Stay updated with travel trends, visa requirements, and seasonal offers.

Required Skills & Qualifications

• Minimum 3–5 years of experience in selling holiday packages (domestic & international).
• Strong destination knowledge of Asia, USA, UK, Schengen region, Vietnam, Bali, Thailand, and Dubai.
• Excellent communication, presentation, and negotiation skills.
• Proficiency in itinerary building, costing, and preparing quotations.
• Hands-on experience with travel CRM/booking systems.
• Customer-focused mindset with a passion for travel.

What We Offer

• Competitive salary + attractive incentives.
• Opportunity to work with a leading travel tech company.
• Growth and career advancement in the travel industry.
• A collaborative and dynamic work environment.

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.

Python server development using Django, Flask, or other python frameworks.

Experience working with and building RESTful APIs.

Ability to write unit-tested and maintainable code.

Expertise in cloud platforms (preferable AWS: both traditional EC2 and serverless Lambda), micro-services architecture.

Experience with API security frameworks, token management and user access control including OAuth, JWT, etc.

Understanding of caching strategies and implementation (Redis, Memcache, etc.)

RESPONSIBILITIES:

• Design, build, execute financial, strategic, and operational analysis across the company and products
• Visa arrangement
• Assist in quarterly and annual budgeting, planning, and forecasting process 
• Assist in month-end finance process including closing books, audit, Invoicing, A/R report, etc
• Assist in managing the HRIS system including data updates of all employee information changes and additions; ensure integrity and accuracy of People data 
• Monitor and report on all key HR metrics; manage the design, implementation and tracking of all People team KPIs 
• Provide useful data to help guide decision-making, and allow the company to scale effectively and efficiently
• Identify and recommend methods to automate, simplify, and enhance processes, procedures, and technology to support the finance and operations team

REQUIREMENTS:

• Must have completed Chartered Accountancy (CA) course
• 1-3 years of experience in finance and operations, preferably in a high-growth tech environment 
• Must show documented proficiency in project management - from project design to evaluation 
• Attention to detail; experience with analytics, metrics and business consulting skills preferred
• Candidate must be able to effectively synthesize disparate quantitative and qualitative data sets to make data-driven decisions quickly for the organization
• Ability to diagnose problems with strategic thinking skills, as well as drive appropriate solutions with self-initiative preferred
• Strong communication and collaborative skills to effectively support and connect with a diverse team
• Obsessive around moving critical business metrics and products

Exp : 3 to 10 Years

Required Skills:

• Hands-on experience in installing, configuring and upgrading AAEP, POM, Speech solutions for global customers.
• Knowledge on integration of AAEP, POM, Speech servers with other adjunct and UC solutions.
• Well versed with Linux commands.
• Knowledge in deploying VMWare/OVA would be added advantage.
• Knowledge on Avaya product like CM, SM, SMGR, WebLM, Call center routing etc. would be added advantage.
• Installation, upgrade and integration AAEP, POM, Speech servers for global customers especially in USA.
• Testing and troubleshooting as required.
• Good planning & analytical skills and ability to communicate effectively with global customers. Work under pressure and deliver on customer timelines.
• Implementation and testing will require to be done during customer approved maintenance windows in the respective countries or regions. Will require late night work during implementation & testing.

• Good written and verbal communication skills
• Must have experience working with global customer
• Self-starter and capable of working independently
• Quick learning ability to learn future skills as per business requirement
• Able to work in flexible hours (including late India night and early morning) to support global customers in North America region