Customer Relationship Management Executive

Presales

Our Client is a premier luxury interior design brand known for delivering bespoke and high-end interiors that reflect both opulence and functionality. We cater to a discerning clientele and believe in offering not just a product, but an exceptional experience.

Role Overview:

We are seeking a polished and articulate Presales with a flair for luxury service to join our dynamic team. The ideal candidate will be responsible for reaching out to prospective leads, qualifying them, and nurturing interest in our interior design services. Prior experience in luxury interior design, high-end retail, or companies like AMEX is highly preferred.

Work Week: Tuesday-Sunday (Monday off)

Key Responsibilities:

• Make outbound calls to potential clients from leads database (warm and cold leads).
• Clearly and confidently communicate the brand’s ethos and premium service offerings.
• Qualify leads and set up appointments for sales/design team.
• Maintain and update CRM with lead status and feedback.
• Follow up on previous interactions to convert prospects into clients.
• Ensure a premium customer experience with every interaction.
• Coordinate with internal teams for appointment scheduling and lead handover.

Preferred Profile:

• Experience: 2–5 years in telecalling, telesales, or customer engagement – preferably in luxury interiors, real estate, high-end retail, hospitality, or financial services (e.g., AMEX).
• Industry Background: Luxury brands, premium customer service roles, lifestyle services, or high-ticket sales.
• Education: Graduate in any discipline. Background in interior design, luxury marketing, or communication is a plus.
• Language: Fluent in English and Hindi. Additional languages are a bonus.
• Skills:
• Strong verbal communication and persuasion skills.
• Client-first mindset and a high level of professionalism.
• Confidence to speak to HNI clients and corporate professionals.
• Comfortable using CRMs and reporting tools.

We are looking for a skilled Product Implementation Specialist to join our dynamic team in New Delhi. The ideal candidate will have good technical knowledge and will play a key role in gaining in-depth technical knowledge of our product. Candidate will be responsible for effectively demoing the platform to the customers, providing technical guidance, and ensuring smooth implementation. This role involves working closely with customers to address their requirements to improve their payment transactions.

Roles and Responsibilities:

• Product Demonstrations: Conduct in-depth product demonstrations, showcasing the technical capabilities and business benefits of our payment orchestration platform to current & new customers.
• Technical Expertise: Understand the technical architecture of the payment orchestration platform, including terms like API integrations, payment gateways, compliance requirements such as PCI DSS and basic coding languages.
• Client Engagement: Act as a technical advisor during customer meetings, answering questions related to the product, integrations, and functionalities.
• Requirement Gathering: Engage with customers to gather and document detailed business requirements, ensuring a thorough understanding of their requirements.
• Business requirement document (BRD) Preparation: Develop comprehensive BRDs based on customer interactions, outlining functional and non-functional requirements for the proposed solution.
• Customer Presentations: Prepare and deliver tailored presentations and proposals that address customer pain points and demonstrate how Celeris solutions can meet their goals.
• Feedback Loop: Gather feedback from potential customers during demonstrations and share insights with the product development team to enhance future offerings.

Requirements:

• Experience: 1 - 3years of experience in a product implementation, product consulting, or product demonstration role, preferably within the payment orchestration or fintech industry.
• Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.
• Customer-Focused: Strong customer-facing skills with a focus on delivering tailored solutions and building trust with customers.
• Analytical Skills: Ability to analyze customer needs and design customized solutions that address their business challenges.
• Collaboration: Team player with the ability to work cross-functionally and support both technical and sales teams.
• Preferred: Experience working with payment orchestration platforms, fraud prevention, or risk management solutions.

• As a lead engineer, you will be expected to execute and deliver large and complex projects end-to-end, with or without the involvement of other team members.
• Participate in code reviews, app architecture, and design discussions.
• Ensuring timely delivery of all product deliverables.
• Be the go-to person for the team for guidance and troubleshooting. 
• Mentoring junior developers and set best practices for coding, reviews, etc.
• Ensuring performance and scalability in all new product features being developed. 

• Overall of 5+ years of expertise in at least one dynamic programming language like Python and one MVC web framework, preferably Django.
• Experience in at least one frontend framework, preferably React.js
• Expertise in database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in all common AWS cloud technologies, knowledge of CI/CD tools, and workflows.

Job Responsibilities:

·       Assist the Security Manager in developing and implementing security policies and procedures.

·       Conduct regular security risk assessments and audits.

·       Monitor security systems, including firewalls, intrusion detection systems, and access controls.

·       Respond to security incidents and provide recommendations for remediation.

·       Assist in managing user access and authentication.

·       Provide security awareness training to employees.

·       Maintain and improve endpoint security solutions (e.g. antivirus, endpoint detection and response).

·       Collaborate with other departments to ensure security is integrated into all aspects of the organization's operations.

·       Stay up to date on the latest security threats and industry trends.

Qualifications and skills:

·       Bachelor’s degree in computer science, Information Security, or a related field.

·       4-5 years of experience in security-related roles.

·       Knowledge of security systems and protocols.

·       Familiarity with risk management frameworks.

·       Knowledge of compliance regulations and standards.

·       Excellent communication and interpersonal skills.

·       Strong analytical and problem-solving skills.

·       Ability to work independently and as part of a team.

·       Attention to detail and accuracy.

• Full stack product engineering i.e. design, engineer, test, deploy, monitor, and maintain software components to QA and Production environments
• Design & engineer product experience & APIs conforming to defined quality, maintainability, scalability, and performance KPIs
• Build, maintain, and improve continuous integration and delivery lifecycle processes
• Automation of repetitive engineering and production activities

• Engineering in computer science
• 3+ year of relevant experience in product engineering with expertise in building frameworks, reusable components, and APIs
• Expert level skills in analytical & problem solving
• Strong programming and engineering fundamentals like Data Structures,
• Design Principles, TDD, and Performance Tuning to build scalable and performance optimized product
• Ability to communicate clearly in English

• HTML5
• CSS3 (Sass/Less)
• JQuery
• JavaScript (ES6) / TypeScript
• React.js
• Version Control : Git

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred