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Role Overview

1. As a Pre-Sales Engineer, you will be responsible for designing and drafting systems for Technical Proposals brought in by the sales team, ensuring that quotes are technically correct before submitting to clients.
2. Preparation of proposal based on the RFP / RFQ docs and Understand the CAD drawing.
3. Generate BOQ, Compliance Statement, system descriptions, schematic drawings, material / technical submittal, system programming such as Crestron, Extron, Bose and other OEM products etc.
4. Provide sales and technical staff with technical support on both a pre- and post-sales basis
5. Communicate and interact with internal employees, clients and colleagues in a professional and timely manner.
6. Conduct or attend a Site visit and Site surveys when needed.
7. Develop and maintain knowledge of current and new technologies that company offers.

Key Skills

• 2+ years of experience required in AV.
• Experience in developing cost-effective solutions around customer needs.
• Good skill for Vendor Management, OEM interaction.
• Proficient in the use of Microsoft Office Suite
• Good Communication skill

Job Description:

The data science team is responsible for solving business problems with complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions, apply our analytical and machine learning skills to solve the problem in the best way possible. 

Our ideal candidate

The role would be a client facing one, hence good communication skills are a must. 

The candidate should have the ability to communicate complex models and analysis in a clear and precise manner. 

The candidate would be responsible for:

• Comprehending business problems properly - what to predict, how to build DV, what value addition he/she is bringing to the client, etc.
• Understanding and analyzing large, complex, multi-dimensional datasets and build features relevant for business
• Understanding the math behind algorithms and choosing one over another
• Understanding approaches like stacking, ensemble and applying them correctly to increase accuracy

Desired technical requirements

• Proficiency with Python and the ability to write production-ready codes. 
• Experience in pyspark, machine learning and deep learning
• Big data experience, e.g. familiarity with Spark, Hadoop, is highly preferred
• Familiarity with SQL or other databases.

Opportunity

As a Technical Support Specialist, you will provide the highest level of support to every customer, through every interaction. You will work closely with other teams (onboarding, customer success, and engineering) to ensure that customer accounts have the technical support necessary to be set up for success. You will manage and troubleshoot third-party integrations, build and use technology resources for the Customer Experience and Solutions team, and act as an escalation point for the rest of the team.

We’re looking for someone who is highly-motivated and detail-oriented. You’re also passionate about people as much as you are about getting your work done. You have a natural fluidity and thoughtfulness to your written and verbal communication with customers. On top of that, you’re incredibly organized, handling multiple responsibilities at the same time without letting a single ball drop. 

Our perfect team member has a customer-first attitude with a strong sense of empathy. More importantly, you have a natural curiosity and aptitude for technology and can quickly learn how to use new tools.

Past experience in technical customer support (email, phone, chat or live) is definitely a plus. If this sounds like you, we’d love to hear from you!

Responsibilities

• You will be the face of QDC, handling inbound interactions through (chat, email, phone and remote session)
• Learn to triage incoming customer inquiries and the process of escalating them by working with various team members to resolve and close tickets in pre-defined SLA.
• Reproduce customer issues and log tickets to be solved by the engineering team.
• Guide users on product features and train them to use it effectively.
• Build and maintain the resources required for technical support. (Walkthrough, set up guides, help tutorials, emails, and video tutorials)
• Take handover from the onboarding team by understanding customers' persona, their pain points, and expectation. 
• Rigorously measure support SLA & metrics and improve it continuously.
• Maintain regular communications with customers about new feature developments and enhancements to the product. 
• Consistently gain product knowledge and work towards improvements on internal processes by identifying the existing bottlenecks.

What you can expect in the next 12 months

Within 1 month

• You should have acquired a good knowledge of the laundry domain, QDC product, and process that we follow.
• Have a one-one chat with every member of the Quick Dry Cleaning team so you get to know everyone well and understand each other.
• You should have gone through at least 3 onboarding and sales experience in the buddy system.
• You should have spent a day at the laundry store to get live hands-on experience.
• You should be able to configure SMS API’s for national and international clients.
• Learn how to access and use all internal tools, including Google Apps, Zoho Desk, JIRA, Sales-IQ, CRM and reverse-shadow in each tool. 
• Shadow other Customer Support Representatives (CSRs) handling inbound interactions, gaining an understanding of common customer inquiries as well as our processes for resolution; demonstrate understanding by completing simple tickets with a CSR shadowing you. 

Within 3 months

• Independently handle hardware integration and support. 
• Become QDC expert through training and customer interaction, building a solid understanding of each feature and best practices for how to use them; handle 80% of all inbound Technical Support interactions without assistance through resolution or escalation; be able to provide creative solutions to users.

Within 6 months

• Maintain a level of customer satisfaction (we measure through CSAT scores) equal to or greater than the overall team average; help maintain all service and support content including process documentation, videos, email macros, training manuals and help articles.

Within 12 months

• Help interview, onboard and train incoming team members.
• Proactively identify, pilot and implement ways to increase efficiency in Technical Support processes; assess results and refine.

What an ideal candidate looks like?

• At least 2+ years of work experience in a customer-facing role such as Customer Support, Account Management, Sales, Corporate Training, etc. 
• Strong problem-solving skills, technical and analytical aptitude with the ability to quickly learn and adopt technical products.
• Ability to understand a software product and its nuances very well.
• Experience managing customer interactions effectively.
• Previous B2B SaaS and enterprise software experience.
• Excellent written and verbal communication skills.
• Ready to work in US Shift in the future when required.

What are we looking for?

Attitude

Skills

• Empathy
• Positive Attitude
• Patience
• Organized
• Process Driven
• Coachable
• Metrics Driven
• Attentive and Listening Skills
• Ability to explain in uncomplicated/ simple language

About Quick Dry Cleaning

We are on a mission to make Dry Cleaners and Laundry business winning in the digital era.

We believe in 

• Helping traditional laundries to come at par with digital businesses: Traditional We help laundry businesses adopt modern technology and deliver the customer experience that today’s digital businesses like Swiggy, OLA and Flipkart are delivering. We feel successful when we hear stories like these.
• Building a large profitable business: We envision building a capital-efficient, large profitable business to achieve our mission of making laundry business win. This means less dependence on investors & more ownership with the team. We are one of the few profitable Indian SaaS startups building value SaaS
• Employee Wellness <> Customer Success: We give as much importance to each team member’s personal & professional success as much as we care about our customer's success. We believe it’s all about balance.

Our impact so far

• 3 Billion garments processed through QDC Dry Cleaning Cloud
• 47 countries
• 1000+ Paid subscribers
• 5000+ Users
• All this could be achieved with a nimble team of 20 from our single office in Noida

Why join QDC?

• Freedom & Responsibility: If you are a person who wants to take up challenging work & push your boundaries with no one monitoring you, then this is the right place for you. There are no hierarchies. No managers to please.
• Holistic Growth: Building a career doesn’t have to be at the cost of missing out on your personal front. We believe that professional success is worth it when the personal goals are nurtured with equal importance. We will support you all in on that journey of yours.
• Transparency: If you ever wanted to know what it’s like to be on an entrepreneurial journey, then working with QDC gives you that opportunity to experience it all first hand.
• Great Environment: We spend more time of our day at work than at home while awake, so it is important that we feel comfortable in our workplace. Our office space is fun and the team is funnier. We never miss out on any opportunity to have fun. We don’t experience Monday blues rather we have Monday excitement.

What you need to have:

What you will get:

1. To be a part of the Core-Team 💪
2. A Chunk of ESOPs 🚀
3. Creating High Impact by Solving a Problem at Large (No one in the World has a similar product) 💥
4. High Growth Work Environment ⚙️

What we are looking for:

1. An 'Exceptional Executioner' -> Leader -> Create an Impact & Value 💰
2. Ability to take Ownership of your work
3. Past experience in leading a team

Requirements:

1. Bachelor's degree or higher in Computer Science or in any related engineering discipline.
2. (2-4) years of experience in building scalable web applications.
3. Backend Maverick with proficiency in Java
4. Experience in requirement analysis, failure analysis, API design, distributed
5. Experience with React.js and modern JavaScript libraries and tooling.
6. consistency
7. Deep understanding of the "behind-the-scenes" of HTML rendering, CSS, and Javascript.
8. Ability to troubleshoot complex systems problems, debug, and find root causes.
9. Ability to effectively articulate and drive solutions to meet technical and business challenges
10. Excellent verbal and written communication skills

Rules & Responsibilities:

• Design, implement and maintain all AWS infrastructure and services within a managed service environment
• Should be able to work on 24 X 7 shifts for support of infrastructure.
• Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
• Manage the production deployment and deployment automation
• Implement process and quality improvements through task automation
• Institute infrastructure as code, security automation and automation or routine maintenance tasks
• Experience with containerization and orchestration tools like docker, Kubernetes
• Build, Deploy and Manage Kubernetes clusters thru automation
• Create and deliver knowledge sharing presentations and documentation for support teams
• Learning on the job and explore new technologies with little supervision
• Work effectively with onsite/offshore teams

Qualifications:

• Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
• Experience in designing, implementing, and maintaining all AWS infrastructure and services
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
• Hands-on technical expertise in Security Architecture, automation, integration, and deployment
• Familiarity with compliance & security standards across the enterprise IT landscape
• Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
• Solid understanding of AWS IAM Roles and Policies
• Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
• Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
• Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
• Experience in managing and working with the offshore teams
• Familiarity with CI/CD systems such as Jenkins, GitLab CI
• Scripting experience (Python, Bash, etc.)
• AWS, Kubernetes Certification is preferred
• Ability to work with and influence Engineering teams