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Mumbai
1 - 5 yrs
₹3L - ₹7L / yr
Lead Generation
Inside Sales
Pipeline management
Lead Prospecting
Negotiation
+1 more
As an Inside Sales Representative at WeAssemble, you will play a critical role in generating new business and managing existing customer relationships. You will be responsible for identifying new sales opportunities, qualifying leads, and nurturing them into long-term business relationships. This is an exciting opportunity for someone with a passion for technology and a strong sales acumen to make an impact in the IT industry.
Key Responsibilities:
- Lead Generation & Prospecting: Identify and engage with potential clients through outbound calls, emails, and social media outreach.
- Sales Qualification: Qualify leads through discovery calls and email communication to determine their needs, and introduce WeAssemble’s products/services.
- Product/Service Presentations: Conduct virtual meetings and demos to showcase WeAssemble’s IT solutions and services tailored to client needs.
- Relationship Building: Develop and maintain strong relationships with prospective and existing clients, ensuring high levels of customer satisfaction.
- Sales Pipeline Management: Accurately track all sales activities in CRM and ensure timely follow-ups to move prospects through the sales pipeline.
- Negotiation & Closing: Collaborate with the sales team to close deals, negotiate pricing, and overcome objections to secure business.
- Collaboration: Work closely with the marketing team to ensure alignment between lead generation efforts and sales processes.
- Reporting: Provide regular updates to the sales manager on lead progress, sales forecast, and performance metrics.
Qualifications:
- Bachelor’s degree in Business, Marketing, IT, or related field (preferred).
- 1-3 years of experience in inside sales, preferably in the IT or technology sector.
- Strong understanding of IT products and services (such as software development, cloud solutions, etc.) is a plus.
- Excellent communication skills, both written and verbal.
- Ability to work independently and as part of a collaborative team.
- Experience with CRM software (HubSpot, Salesforce, etc.) and sales reporting tools.
- Results-driven, with a strong desire to meet and exceed sales targets.
- Positive attitude, strong work ethic, and willingness to learn.
- Immediate availability for joining.
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Mumbai, Gurugram
2 - 10 yrs
Best in industry
Data Science
Python
Data Analytics
Pipeline management
Cloud Computing
+7 more
Data Sutram, funded by India Infoline (IIFL), Indian Angel Network (IAN) and 100x.VC (led by Sanjay Mehta), is an alternate data company, using external data feeds to create every location's DNA that is utilized in various use cases like credit underwriting, location profiling, site selection, etc. It is one of the fastest-growing companies in the space of Artificial Intelligence & Location Analytics in India. As a data scientist, you get to work in our core product and work on various critical client use cases. As a data scientist, you get to explore new solutions and use cases collaborating with Business Analysts & fellow Data Scientists.
Roles and Responsibilities
- Managing available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
- Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Defining validation framework and establish a process to ensure acceptable data quality criteria are met
- Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
- Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
- Device self-learning strategies through analysis of errors from the models
- Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
- Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
- Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.
Preferred Technical & Professional expertise
- Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
- At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
- In-depth knowledge of cloud analytics tools.
- Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
- Ability to evaluate hardware selection for running ML models for optimal performance
- Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
- Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
- Deep analytical thinking with excellent problem-solving abilities
- Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
- Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
- Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
- Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards
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