3+ Pipeline management Jobs in Mumbai | Pipeline management Job openings in Mumbai

Key Responsibilities

Pipeline Building & Prospecting

Identify, qualify, and maintain a healthy list of potential accounts in our key sectors

Outreach Strategy

Build and execute BD funnels - targeted outreach, messaging, follow-ups

Content & Communication

Craft thoughtful, relevant messaging for outreach and LinkedIn/email campaigns

Market & Account Research

Stay updated with hiring trends, leadership movements, and trigger events using job

boards, consulting groups, newsletters, etc.

Relationship Building

Cultivate early-stage relationships, and gradually grow into leading conversations with

senior stakeholders

Consultative Discovery

Be a great listener - identify pain points and potential opportunities within target accounts

Collaboration with Founders

Work directly with leadership to co-develop strategy, iterate on what’s working, and

evolve positioning 

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.

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