doha gurugram haryana customer support coordinator Jobs – 101 Open Jobs Today

Manager II - ML Services
Sprinklr —Gurugram, Haryana
- Full-time
- Management
- Microsoft Office
- Master's degree
- Paid time off
Specialist, Design
JLL —Gurugram, Haryana
- Microsoft Powerpoint
- Microsoft Excel
- Customer service
- Health insurance
Parent Relationship Officer/Admission Counsellor
Shri Educare —Gurugram, Haryana
- Full-time
- Customer service
- Master's degree
- Bachelor's degree
Senior Manager - Advisory Business Operations
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- PMP
- English
- Finance
Quick apply
Sr. UX Writer
Sprinklr —Gurugram, Haryana
- Full-time
- Writing skills
- AI
- Analytics
- Paid time off
Lead VOIP Engineer
Sprinklr —Gurugram, Haryana
- Full-time
- C++
- Scripting
- APIs
- Paid time off
Senior Project Manager - Cloud
AHEAD —Gurugram, Haryana
- Weekend availability
- Remote
- Azure
- PMP
- Salesforce
Senior Service Engineer
Trane Technologies —Gurugram, Haryana
- Full-time
- Microsoft Office
- Work from home
Product Engineer
Sprinklr —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Java
- Paid time off
Senior Lead Software Engineer
Sprinklr —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Java
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Lead Software Engineer (Backend)
Sprinklr —Gurugram, Haryana
- Full-time
- Azure
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Lead Software Engineer
Sprinklr —Gurugram, Haryana
- Full-time
- Azure
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- Paid time off
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Tasha Realty Solutions —Gurugram, Haryana
- Sales
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- Marketing
Senior Software Development Engineer
Sprinklr —Gurugram, Haryana
- Full-time
- Computer Science
- DevOps
- Public speaking
- Paid time off

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Manager II - ML Services

Sprinklr -
Gurugram, Haryana

Apply Now

Job details

Full-time

Benefits

Paid time off

Qualifications

Jira
Power BI
Management
Software deployment
Enterprise Software
Microsoft Office
Master's degree
Project management
Data management
Confluence
Team management
Scrum
Agile
AI
Communication skills

Full job description

Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale — across every customer touchpoint.

By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr’s unified platform provides powerful solutions for every customer-facing team — spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management — enabling enterprises to unify data, break down silos, and act on real-time insights.

Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.

Job Description

What will you do:

Collaborate with Product Engineers and Data science teams to build and deliver AI products
Connect with the internal and external stakeholders to understand use cases and advise on solutions
Ability to translate complex technical concepts to non-technical stakeholders
Training the team on AI specific configuration, AI model development and delivery process and data analysis
An ideal candidate should have proficient knowledge of handling office tools like - Lucid Charts, Confluence, JIRA, MS office suite to build an organized professional-level documentation.
Ability to understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team
Owning escalations, priority incidents, collaborating to meet resolutions, and establishing effective synergy amongst the stakeholders and gathering their reviews
Developing system and procedures to ensure quality of delivery
Understanding the scope of deliveries and creating collaborative delivery plans.
Being accountable for service delivery performance, meeting customer expectations, and aid in driving future demand.
Assisting in people management, including staff recruitment, performance assessment, training, and mentoring.

What makes you Qualified:

Full-time masters degree in either of the following specializations:
Management/Engineering/Communication
Overall 7+ years of experience in ML project management or similar leadership role.
Understanding and knowledge of Agile and Scrum process, terminologies and artefacts
Prior experience and background in service delivery, data management, team management, client communication, vendor management and documentation.
Working knowledge of ML lifecycle and workflows, from initial client consultation to final deployment.
Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client
Organizational and Interpersonal skills to keep project goals clear, have timely catch-up with internal team/clients, and ensure deliveries are checked and tested in prior
Ability to collaborate - working with the Product manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team
Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews
Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery
Developing a deep understanding of the projects to gain insights into the scope of service delivery
Taking accountability for service delivery performance, meeting customer expectations, and driving future demand
Analyzing third-party as well as internal processes, and creating strategies for service delivery optimization

Core Skills for Technical Delivery Manager:

AI Project/Portfolio Management: Cross-product, Vendor & Budget Management
Leadership & Communication: Effective Team and Stakeholder Engagement
Insights Generation: Expertise in Power BI for Data-Driven Decisions
AI/ML Lifecycle: Managing End-to-End Implementation
Client & Stakeholder Management: Building Strong Relationships and Ensuring Satisfaction
Operational Efficiencies: Driving Process Improvements and Cost Optimization

We focus on our mission: Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data — helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:

Lead a new category of enterprise software that we call Unified-CXM.

Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.
Create a culture of customer obsession, with trust, teamwork, and accountability.

We believe in our product: Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything — and everyone — can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world’s leading enterprise brands.

We invest in our people: We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off – it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.

To learn more about employee benefits by region, click here.

To learn more about all-things-Sprinklr, visit our candidate resource hub here.

EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful.

Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law.

Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.

Warning about Recruiting Scams: Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please review the Federal Trade Commission's advice to avoid these types of scams.

If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.

Apply Now

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Job Description

What will you do:

Collaborate with Product Engineers and Data science teams to build and deliver AI products

Connect with the internal and external stakeholders to understand use cases and advise on solutions

Ability to translate complex technical concepts to non-technical stakeholders

Training the team on AI specific configuration, AI model development and delivery process and data analysis

An ideal candidate should have proficient knowledge of handling office tools like - Lucid Charts, Confluence, JIRA, MS office suite to build an organized professional-level documentation.

Ability to understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team

Owning escalations, priority incidents, collaborating to meet resolutions, and establishing effective synergy amongst the stakeholders and gathering their reviews

Developing system and procedures to ensure quality of delivery

Understanding the scope of deliveries and creating collaborative delivery plans.

Being accountable for service delivery performance, meeting customer expectations, and aid in driving future demand.

Assisting in people management, including staff recruitment, performance assessment, training, and mentoring.

What makes you Qualified:

Full-time masters degree in either of the following specializations:

Management/Engineering/Communication

Overall 7+ years of experience in ML project management or similar leadership role.

Understanding and knowledge of Agile and Scrum process, terminologies and artefacts

Prior experience and background in service delivery, data management, team management, client communication, vendor management and documentation.

Working knowledge of ML lifecycle and workflows, from initial client consultation to final deployment.

Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client

Organizational and Interpersonal skills to keep project goals clear, have timely catch-up with internal team/clients, and ensure deliveries are checked and tested in prior

Ability to collaborate - working with the Product manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team

Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews

Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery

Developing a deep understanding of the projects to gain insights into the scope of service delivery

Taking accountability for service delivery performance, meeting customer expectations, and driving future demand

Analyzing third-party as well as internal processes, and creating strategies for service delivery optimization

AI Project/Portfolio Management: Cross-product, Vendor & Budget Management

Leadership & Communication: Effective Team and Stakeholder Engagement

Insights Generation: Expertise in Power BI for Data-Driven Decisions

AI/ML Lifecycle: Managing End-to-End Implementation

Client & Stakeholder Management: Building Strong Relationships and Ensuring Satisfaction

Operational Efficiencies: Driving Process Improvements and Cost Optimization